MMLR
Fitting Markov-Modulated Linear Regression Models
v0.2.0
·
Jan 9, 2020
·
GPL (>= 2)
Description
A set of tools for fitting Markov-modulated linear regression, where responses Y(t) are time-additive, and model operates in the external environment, which is described as a continuous time Markov chain with finite state space. Model is proposed by Alexander Andronov (2012) <arXiv:1901.09600v1> and algorithm of parameters estimation is based on eigenvalues and eigenvectors decomposition. Markov-switching regression models have the same idea of varying the regression parameters randomly in accordance with external environment. The difference is that for Markov-modulated linear regression model the external environment is described as a continuous-time homogeneous irreducible Markov chain with known parameters while switching models consider Markov chain as unobserved and estimation procedure involves estimation of transition matrix. These models have significant differences in terms of the analytical approach. Also, package provides a set of data simulation tools for Markov-modulated linear regression (for academical/research purposes). Research project No. 1.1.1.2/VIAA/1/16/075.
Downloads
231
Last 30 days
19756th
549
Last 90 days
2K
Last year
Trend: +38.3% (30d vs prior 30d)
CRAN Check Status
14
NOTE
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | NOTE |
| r-devel-windows-x86_64 | NOTE |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | NOTE |
| r-release-linux-x86_64 | NOTE |
| r-release-macos-arm64 | NOTE |
| r-release-macos-x86_64 | NOTE |
| r-release-windows-x86_64 | NOTE |
Check details (19 non-OK)
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Nadezda Spiridovska <Spiridovska.N@tsi.lv>’ The Description field contains <arXiv:1901.09600v1> and algorithm of parameters estimation is based on Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Nadezda Spiridovska <Spiridovska.N@tsi.lv>’ The Description field contains <arXiv:1901.09600v1> and algorithm of parameters estimation is based on Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-oldrel-macos-arm64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-oldrel-macos-x86_64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-oldrel-windows-x86_64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
| ^
checkRd: (-1) B_est.Rd:34: Lost braces; missing escapes or markup?
34 | where vector of average sojourn times in each state $t_{i}$ is calculated using function Aver_soj_time, $t_{i}$ is an element of tGiven, $x_{i}
...[truncated]...
as uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeTau.Rd:29: Lost braces; missing escapes or markup?
29 | Initial values of observation times are multiplied by a random value ($tau_{i}$ x k x rnd(0, 1)). All times are independent and time of ith observation has uniform distribution on (0, k$tau_{i}$).
| ^
checkRd: (-1) randomizeX.Rd:41: Lost braces; missing escapes or markup?
41 | Random perturbations are added to the initial values of matrix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Nadezda Spiridovska <Spiridovska.N@tsi.lv>’ The Description field contains <arXiv:1901.09600v1> and algorithm of parameters estimation is based on Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Nadezda Spiridovska <Spiridovska.N@tsi.lv>’ The Description field contains <arXiv:1901.09600v1> and algorithm of parameters estimation is based on Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) Aver_soj_time.Rd:25: Lost braces; missing escapes or markup?
25 | Matrix Q is so-called Generator matrix: \eqn{Q=\lambda-\Lambda, where \lambda} is matrix with known transition rates from state $s_{i}$ to state $s_{j}$,
|
...[truncated]...
trix X elements ($X_{i,j}$ + rnd), which are distributed according to a chosen distribution (possible alternatives: uniform, exponential and gamma distribution).
| ^