LongCART
Recursive Partitioning for Longitudinal Data and Right Censored Data Using Baseline Covariates
Description
Constructs tree for continuous longitudinal data and survival data using baseline covariates as partitioning variables according to the 'LongCART' and 'SurvCART' algorithm, respectively. Later also included functions to calculate conditional power and predictive power of success based on interim results and probability of success for a prospective trial.
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Check details (16 non-OK)
CRAN incoming feasibility
Maintainer: ‘Madan G Kundu <madan_g.kundu@yahoo.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = c("Madan", "G"),
family = "Kundu",
role = c("aut", "cre"),
email = "madan_g.kundu@yahoo.com")
as necessary.
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
CRAN incoming feasibility
Maintainer: ‘Madan G Kundu <madan_g.kundu@yahoo.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = c("Madan", "G"),
family = "Kundu",
role = c("aut", "cre"),
email = "madan_g.kundu@yahoo.com")
as necessary.
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
| ^
checkRd: (-1) StabCat.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCat.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:34: Lost braces; missing escapes or markup?
34 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) StabCont.surv.Rd:36: Lost braces; missing escapes or markup?
36 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:36: Lost braces; missing escapes or markup?
36 | Lognormal distribution: f(t)=(1/t)*(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(log(t)-mu)/sigma}^2]
| ^
checkRd: (-1) SurvCART.Rd:38: Lost braces; missing escapes or markup?
38 | Normal distribution: f(t)=(1/sqrt(2*pi*sigma^2))*exp[-(1/2)*{(t-mu)/sigma}^2]
| ^
checkRd: (-1) succ_ia.Rd:39: Lost braces
39 | \item{sd.ia}{Standard deviation of estimated mean difference (in one-sample continuous case) or estimated mean (in two-sample continuous case) at interim analysis. If \code{stderr.ia} is specified, then the value of \code{sd.ia} is ignored. If code{stderr.ia} is not specified, then mandatory for continuous case.}
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
CRAN incoming feasibility
Maintainer: ‘Madan G Kundu <madan_g.kundu@yahoo.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = c("Madan", "G"),
family = "Kundu",
role = c("aut", "cre"),
email = "madan_g.kundu@yahoo.com")
as necessary.
CRAN incoming feasibility
Maintainer: ‘Madan G Kundu <madan_g.kundu@yahoo.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = c("Madan", "G"),
family = "Kundu",
role = c("aut", "cre"),
email = "madan_g.kundu@yahoo.com")
as necessary.
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|
Rd files
checkRd: (-1) ProfilePlot.Rd:16: Lost braces
16 | \item{timevar.power}{Mandatory when the fixed part of the fitted model contains term as time with power not equal to 1. For example, if fixed part of the model is t + sqrt{t} + cov1, then specify \code{c(1, 0.5, NA}. If fixed part of the model is t + t^2 + cov1, then specify \code{c(1, 2, NA)}.}
|