elastes

CRAN incoming feasibility

Maintainer: ‘Manuel Pfeuffer <manuel.pfeuffer@hu-berlin.de>’

The Description field contains
  <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <arXiv:2203.10522>
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

CRAN incoming feasibility

Maintainer: ‘Manuel Pfeuffer <manuel.pfeuffer@hu-berlin.de>’

The Description field contains
  <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <arXiv:2203.10522>
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

examples

Running examples in ‘elastes-Ex.R’ failed
The error most likely occurred in:

> ### Name: compute_elastic_shape_mean
> ### Title: Compute an elastic full Procrustes mean for a collection of
> ###   curves
> ### Aliases: compute_elastic_shape_mean
> 
> ### ** Examples
> 
> curve <- function(t){
+   rbind(t*cos(13*t), t*sin(13*t))
+ }
> set.seed(18)
> data_curves <- lapply(1:4, function(i){
+   m <- sample(10:15, 1)
+   delta <- abs(rnorm(m, mean = 1, sd = 0.05))
+   t <- cumsum(delta)/sum(delta)
+   data.frame(t(curve(t)) + 0.07*t*matrix(cumsum(rnorm(2*length(delta))),
+              ncol = 2))
+ })
> 
> #randomly rotate and scale curves
> rand_scale <- function(curve){ ( 0.5 + runif(1) ) * curve }
> rand_rotate <- function(curve){
+   names <- colnames(curve)
+   theta <- 2*pi*runif(1)
+   mat <- matrix(c(cos(theta), sin(theta), -sin(theta), cos(theta)), nrow = 2, ncol = 2)
+   curve.rot <- as.matrix(curve) %*% t(mat)
+   curve.rot <- as.data.frame(curve.rot)
+   colnames(curve.rot) <- names
+   return(curve.rot)
+ }
> data_curves <- lapply(data_curves, rand_scale)
> data_curves <- lapply(data_curves, rand_rotate)
> 
> #compute smooth procrustes mean with 2 order penalty
> knots <- seq(0,1, length = 11)
> elastic_shape_mean <- compute_elastic_shape_mean(
+     data_curves,
+     knots = knots,
+     type = "smooth",
+     penalty = 2
+     )

 *** caught segfault ***
address 0x1, cause 'invalid permissions'

Traceback:
 1: eigen(t(L.inv) %*% beta.mat %*% L.inv)
 2: fit_mean(srv_data_curves = srv_data_curves, knots = knots, type = type,     penalty = penalty, var_type = var_type, pfit_method = pfit_method,     max_iter = max_iter, eps = eps, verbose = verbose, cluster = cluster,     smooth_warp = smooth_warp)
 3: compute_elastic_shape_mean(data_curves, knots = knots, type = "smooth",     penalty = 2)
An irrecoverable exception occurred. R is aborting now ...

re-building of vignette outputs

Error(s) in re-building vignettes:
--- re-building ‘elastes.Rmd’ using rmarkdown

 *** caught segfault ***
address 0x1, cause 'invalid permissions'

Traceback:
 1: eigen(t(L.inv) %*% beta.mat %*% L.inv)
 2: fit_mean(srv_data_curves = srv_data_curves, knots = knots, type = type,     penalty = penalty, var_type = var_type, pfit_method = pfit_method,     max_iter = max_iter, eps = eps, verbose = verbose, cluster = cluster,     smooth_warp = smooth_warp)
 3: compute_elastic_shape_mean(digit3, knots = seq(0, 1, length = 11),     type = "smooth")
 4: eval(expr, envir)
 5: eval(expr, envir)
 6: withVisible(eval(expr, envir))
 7: withCallingHandlers(code, error = function (e) rlang::entrace(e), message = function (cnd) {    watcher$capture_plot_and_output()    if (on_message$capture) {        watcher$push(cnd)    }    if (on_message$silence) {        invokeRestart("muffleMessage")    }}, warning = function (cnd) {    if (getOption("warn") >= 2 || getOption("warn") < 0) {        return()    }    watcher$capture_plot_and_output()    if (on_warning$capture) {        cnd <- sanitize_call(cnd)        watcher$push(cnd)    }    if (on_warning$silence) {        invokeRestart("muffleWarning")    }}, error = function (cnd) {    watcher$capture_plot_and_output()    cnd <- sanitize_call(cnd)    watcher$push(cnd)    switch(on_error, continue = invokeRestart("eval_continue"),         stop = invokeRestart("eval_stop"), error = NULL)})
 8: eval(call)
 9: eval(call)
10: with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers)
11: doWithOneRestart(return(expr), restart)
12: withOneRestart(expr, restarts[[1L]])
13: withRestartList(expr, restarts[-nr])
14: doWithOneRestart(return(expr), restart)
15: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
16: withRestartList(expr, restarts)
17: withRestarts(with_handlers({    for (expr in tle$exprs) {        ev <- withVisible(eval(expr, envir))        watcher$capture_plot_and_output()        watcher$print_value(ev$value, ev$visible, envir)    }    TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE)
18: evaluate::evaluate(...)
19: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning,     keep_message = if (is.numeric(options$message)) TRUE else options$message,     stop_on_error = if (is.numeric(options$error)) options$error else {        if (options$error && options$include)             0L        else 2L    }, output_handler = knit_handlers(options$render, options))
20: in_dir(input_dir(), expr)
21: in_input_dir(evaluate(code, envir = env, new_device = FALSE,     keep_warning = if (is.numeric(options$warning)) TRUE else options$warning,     keep_message = if (is.numeric(options$message)) TRUE else options$message,     stop_on_error = if (is.numeric(options$error)) options$error else {        if (options$error && options$include)             0L        else 2L    }, output_handler = knit_handlers(options$render, options)))
22: eng_r(options)
23: block_exec(params)
24: call_block(x)
25: process_group(group)
26: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    })
27: with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    }), list(rlang_trace_top_env = knit_global()))
28: xfun:::handle_error(with_options(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        if (progress && is.function(pb$interrupt))             pb$interrupt()        if (is_R_CMD_build() || is_R_CMD_check())             error <<- format(e)    }), list(rlang_trace_top_env = knit_global())), function(loc) {    setwd(wd)    write_utf8(res, output %n% stdout())    paste0("\nQuitting from ", loc, if (!is.null(error))         paste0("\n", rule(), error, "\n", rule()))}, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)
29: process_file(text, output)
30: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet)
31: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(),     output_dir = getwd(), ...)
32: vweave_rmarkdown(...)
33: engine$weave(file, quiet = quiet, encoding = enc)
34: doTryCatch(return(expr), name, parentenv, handler)
35: tryCatchOne(expr, names, parentenv, handlers[[1L]])
36: tryCatchList(expr, classes, parentenv, handlers)
37: tryCatch({    engine$weave(file, quiet = quiet, encoding = enc)    setwd(startdir)    output <- find_vignette_product(name, by = "weave", engine = engine)    if (!have.makefile && vignette_is_tex(output)) {        texi2pdf(file = output, clean = FALSE, quiet = quiet)        output <- find_vignette_product(name, by = "texi2pdf",             engine = engine)    }    outputs <- c(outputs, output)}, error = function(e) {    thisOK <<- FALSE    fails <<- c(fails, file)    message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)))})
38: tools::buildVignettes(dir = "/Volumes/Builds/packages/sonoma-arm64/results/4.6/elastes.Rcheck/vign_test/elastes",     skip = TRUE, ser_elibs = "/Volumes/Temp/tmp/RtmpsL5q2S/file1405733ccfd64.rds")
An irrecoverable exception occurred. R is aborting now ...

tests

  Running ‘testthat.R’ [2s/1s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(elastes)
  > 
  > test_check("elastes")
  
   *** caught segfault ***
  address 0x1, cause 'invalid permissions'
  
  Traceback:
   1: eigen(t(L.inv) %*% beta.mat %*% L.inv)
   2: fit_mean(srv_data_curves = srv_data_curves, knots = knots, type = type,     penalty = penalty, var_type = var_type, pfit_method = pfit_method,     max_iter = max_iter, eps = eps, verbose = verbose, cluster = cluster,     smooth_warp = smooth_warp)
   3: compute_elastic_shape_mean(data_curves)
   4: eval(code, test_env)
   5: eval(code, test_env)
   6: withCallingHandlers({    eval(code, test_env)    new_expectations <- the$test_expectations > starting_expectations    if (snapshot_skipped) {        skip("On CRAN")    }    else if (!new_expectations && skip_on_empty) {        skip_empty()    }}, expectation = handle_expectation, packageNotFoundError = function(e) {    if (on_cran()) {        skip(paste0("{", e$package, "} is not installed."))    }}, snapshot_on_cran = function(cnd) {    snapshot_skipped <<- TRUE    invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message,     error = handle_error, interrupt = handle_interrupt)
   7: doTryCatch(return(expr), name, parentenv, handler)
   8: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   9: tryCatchList(expr, classes, parentenv, handlers)
  10: tryCatch(withCallingHandlers({    eval(code, test_env)    new_expectations <- the$test_expectations > starting_expectations    if (snapshot_skipped) {        skip("On CRAN")    }    else if (!new_expectations && skip_on_empty) {        skip_empty()    }}, expectation = handle_expectation, packageNotFoundError = function(e) {    if (on_cran()) {        skip(paste0("{", e$package, "} is not installed."))    }}, snapshot_on_cran = function(cnd) {    snapshot_skipped <<- TRUE    invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message,     error = handle_error, interrupt = handle_interrupt), error = handle_fatal)
  11: doWithOneRestart(return(expr), restart)
  12: withOneRestart(expr, restarts[[1L]])
  13: withRestarts(tryCatch(withCallingHandlers({    eval(code, test_env)    new_expectations <- the$test_expectations > starting_expectations    if (snapshot_skipped) {        skip("On CRAN")    }    else if (!new_expectations && skip_on_empty) {        skip_empty()    }}, expectation = handle_expectation, packageNotFoundError = function(e) {    if (on_cran()) {        skip(paste0("{", e$package, "} is not installed."))    }}, snapshot_on_cran = function(cnd) {    snapshot_skipped <<- TRUE    invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message,     error = handle_error, interrupt = handle_interrupt), error = handle_fatal),     end_test = function() {    })
  14: test_code(code, parent.frame())
  15: test_that("Test computed variance and distances in [0,1]", {    mean <- compute_elastic_shape_mean(data_curves)    expect_gt(mean$variance, 0)    expect_lte(mean$variance, 1)    for (d in mean$distances) {        expect_gte(d, 0)        expect_lte(d, 1)    }})
  16: eval(code, test_env)
  17: eval(code, test_env)
  18: withCallingHandlers({    eval(code, test_env)    new_expectations <- the$test_expectations > starting_expectations    if (snapshot_skipped) {        skip("On CRAN")    }    else if (!new_expectations && skip_on_empty) {        skip_empty()    }}, expectation = handle_expectation, packageNotFoundError = function(e) {    if (on_cran()) {        skip(paste0("{", e$package, "} is not installed."))    }}, snapshot_on_cran = function(cnd) {    snapshot_skipped <<- TRUE    invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message,     error = handle_error, interrupt = handle_interrupt)
  19: doTryCatch(return(expr), name, parentenv, handler)
  20: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  21: tryCatchList(expr, classes, parentenv, handlers)
  22: tryCatch(withCallingHandlers({    eval(code, test_env)    new_expectations <- the$test_expectations > starting_expectations    if (snapshot_skipped) {        skip("On CRAN")    }    else if (!new_expectations && skip_on_empty) {        skip_empty()    }}, expectation = handle_expectation, packageNotFoundError = function(e) {    if (on_cran()) {        skip(paste0("{", e$package, "} is not installed."))    }}, snapshot_on_cran = function(cnd) {    snapshot_skipped <<- TRUE    invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message,     error = handle_error, interrupt = handle_interrupt), error = handle_fatal)
  23: doWithOneRestart(return(expr), restart)
  24: withOneRestart(expr, restarts[[1L]])
  25: withRestarts(tryCatch(withCallingHandlers({    eval(code, test_env)    new_expectations <- the$test_expectations > starting_expectations    if (snapshot_skipped) {        skip("On CRAN")    }    else if (!new_expectations && skip_on_empty) {        skip_empty()    }}, expectation = handle_expectation, packageNotFoundError = function(e) {    if (on_cran()) {        skip(paste0("{", e$package, "} is not installed."))    }}, snapshot_on_cran = function(cnd) {    snapshot_skipped <<- TRUE    invokeRestart("muffle_cran_snapshot")}, skip = handle_skip, warning = handle_warning, message = handle_message,     error = handle_error, interrupt = handle_interrupt), error = handle_fatal),     end_test = function() {    })
  26: test_code(code = exprs, env = env, reporter = get_reporter() %||%     StopReporter$new())
  27: source_file(path, env = env(env), desc = desc, shuffle = shuffle,     error_call = error_call)
  28: FUN(X[[i]], ...)
  29: lapply(test_paths, test_one_file, env = env, desc = desc, shuffle = shuffle,     error_call = error_call)
  30: doTryCatch(return(expr), name, parentenv, handler)
  31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  32: tryCatchList(expr, classes, parentenv, handlers)
  33: tryCatch(code, testthat_abort_reporter = function(cnd) {    cat(conditionMessage(cnd), "\n")    NULL})
  34: with_reporter(reporters$multi, lapply(test_paths, test_one_file,     env = env, desc = desc, shuffle = shuffle, error_call = error_call))
  35: test_files_serial(test_dir = test_dir, test_package = test_package,     test_paths = test_paths, load_helpers = load_helpers, reporter = reporter,     env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,     desc = desc, load_package = load_package, shuffle = shuffle,     error_call = error_call)
  36: test_files(test_dir = path, test_paths = test_paths, test_package = package,     reporter = reporter, load_helpers = load_helpers, env = env,     stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,     load_package = load_package, parallel = parallel, shuffle = shuffle)
  37: test_dir("testthat", package = package, reporter = reporter,     ..., load_package = "installed")
  38: test_check("elastes")
  An irrecoverable exception occurred. R is aborting now ...

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^

Rd files

checkRd: (-1) fit_mean.Rd:54: Lost braces
    54 | \code{t_optims}{optimal parametrizations}
       |                ^
checkRd: (-1) fit_mean.Rd:55: Lost braces
    55 | \code{G_optims}{optimal rotations}
       |                ^
checkRd: (-1) fit_mean.Rd:56: Lost braces
    56 | \code{b_optims}{optimal scalings}
       |                ^
checkRd: (-1) fit_mean.Rd:57: Lost braces
    57 | \code{n_optims}{optimal re-normalization}
       |                ^
checkRd: (-1) fit_mean.Rd:58: Lost braces
    58 | \code{n_iter}{number of iterations until convergence}
       |              ^