Last updated on 2026-03-07 04:50:35 CET.
| Package | ERROR | WARN | OK |
|---|---|---|---|
| comets | 14 | ||
| tramicp | 14 | ||
| tramnet | 5 | 9 | |
| tramvs | 2 | 2 | 10 |
Current CRAN status: OK: 14
Current CRAN status: OK: 14
Current CRAN status: ERROR: 5, OK: 9
Version: 0.0-10
Check: Rd cross-references
Result: WARN
Missing link(s) in Rd file 'tramnet.Rd':
‘[CVXR]{solve}’
See section 'Cross-references' in the 'Writing R Extensions' manual.
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0-10
Check: tests
Result: ERROR
Running ‘Colr-pen.R’ [3s/4s]
Running the tests in ‘tests/Colr-pen.R’ failed.
Complete output:
> # Tests for COLR models
>
> set.seed(0)
>
> ## Depencies
> ## IGNORE_RDIFF_BEGIN
> library("tramnet")
Loading required package: tram
Loading required package: mlt
Loading required package: basefun
Loading required package: variables
Loading required package: mvtnorm
Loading required package: CVXR
Attaching package: 'CVXR'
The following objects are masked from 'package:stats':
power, sd, var
The following objects are masked from 'package:base':
norm, outer
Loading required package: mlrMBO
Loading required package: mlr
Loading required package: ParamHelpers
Loading required package: smoof
Loading required package: checkmate
> library("sandwich")
>
> ## IGNORE_RDIFF_END
> old <- options(digits = 3)
>
> if (require("survival") & require("TH.data")) {
+ ## Exact and Right censored
+ data("GBSG2", package = "TH.data")
+ GBSG2$surv <- with(GBSG2, Surv(time, cens))
+ x <- matrix(1 * (GBSG2$horTh == "yes"), ncol = 1)
+ colnames(x) <- "horTh"
+
+ yCOLR <- Colr(surv ~ 1, data = GBSG2, log_first = TRUE, order = 10, support = c(1e-12, max(GBSG2$time)))
+ modCOLR <- tramnet(yCOLR, x, lambda = 0, alpha = 0)
+ yCOLRb <- Colr(surv ~ horTh, data = GBSG2, log_first = TRUE, order = 10)
+ print(max(abs(coef(yCOLRb, with_baseline = FALSE) -
+ coef(modCOLR, with_baseline = FALSE))))
+ print(logLik(yCOLRb))
+ print(logLik(modCOLR))
+ print(-modCOLR$result$value)
+ print(logLik(modCOLR, newdata = tramnet:::.get_tramnet_data(modCOLR)[1:10, ]))
+
+ ## methods
+ print(coef(modCOLR, tol = 0, with_baseline = TRUE))
+ print(logLik(modCOLR))
+ print(c(resid(modCOLR)[1:10]))
+ print(predict(modCOLR, type = "distribution", q = 1)[, 1:10])
+ print(predict(modCOLR, type = "quantile", prob = 0.5)[, 1:10])
+ print.default(head(simulate(modCOLR)))
+ print(as.data.frame(head(estfun(modCOLR))))
+ plot(modCOLR, type = "survivor")
+ plot(modCOLR, type = "density", K = 120)
+ print(modCOLR)
+ }
Loading required package: survival
Loading required package: TH.data
Loading required package: MASS
Attaching package: 'MASS'
The following object is masked from 'package:CVXR':
huber
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Error in as.vector(x, mode) :
cannot coerce type 'object' to vector of type 'any'
Calls: tramnet ... <Anonymous> -> as.matrix.default -> array -> as.vector
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0-10
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘tramnet.Rnw’ using knitr
Quitting from tramnet.Rnw:936-941 [BH_Linear2]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `as.vector()`:
! cannot coerce type 'object' to vector of type 'any'
---
Backtrace:
x
1. \-tramnet::tramnet(m0, x = x, alpha = 0, lambda = 0)
2. \-tramnet:::.tramnet_objective(...)
3. +-trdat$const$ui %*% theta
4. \-trdat$const$ui %*% theta
5. +-(if (length(dim(y)) == 2L) as.matrix else as.vector)(y)
6. +-(if (length(dim(y)) == 2L) as.matrix else as.vector)(y)
7. \-base::as.matrix.default(y)
8. \-base::array(...)
9. \-base::as.vector(data)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'tramnet.Rnw' failed with diagnostics:
cannot coerce type 'object' to vector of type 'any'
--- failed re-building ‘tramnet.Rnw’
SUMMARY: processing the following file failed:
‘tramnet.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0-99
Check: tests
Result: ERROR
Running ‘Colr-pen.R’
Running the tests in ‘tests/Colr-pen.R’ failed.
Complete output:
> # Tests for COLR models
>
> set.seed(0)
>
> ## Depencies
> ## IGNORE_RDIFF_BEGIN
> library("tramnet")
Loading required package: tram
Loading required package: mlt
Loading required package: basefun
Loading required package: variables
Loading required package: mvtnorm
Loading required package: CVXR
Attaching package: 'CVXR'
The following objects are masked from 'package:stats':
power, sd, var
The following objects are masked from 'package:base':
norm, outer
Loading required package: mlrMBO
Loading required package: mlr
Loading required package: ParamHelpers
Loading required package: smoof
Loading required package: checkmate
> library("sandwich")
>
> ## IGNORE_RDIFF_END
> old <- options(digits = 3)
>
> if (require("survival") & require("TH.data")) {
+ ## Exact and Right censored
+ data("GBSG2", package = "TH.data")
+ GBSG2$surv <- with(GBSG2, Surv(time, cens))
+ x <- matrix(1 * (GBSG2$horTh == "yes"), ncol = 1)
+ colnames(x) <- "horTh"
+
+ yCOLR <- Colr(surv ~ 1, data = GBSG2, log_first = TRUE, order = 10, support = c(1e-12, max(GBSG2$time)))
+ modCOLR <- tramnet(yCOLR, x, lambda = 0, alpha = 0)
+ yCOLRb <- Colr(surv ~ horTh, data = GBSG2, log_first = TRUE, order = 10)
+ print(max(abs(coef(yCOLRb, with_baseline = FALSE) -
+ coef(modCOLR, with_baseline = FALSE))))
+ print(logLik(yCOLRb))
+ print(logLik(modCOLR))
+ print(-modCOLR$result$value)
+ print(logLik(modCOLR, newdata = tramnet:::.get_tramnet_data(modCOLR)[1:10, ]))
+
+ ## methods
+ print(coef(modCOLR, tol = 0, with_baseline = TRUE))
+ print(logLik(modCOLR))
+ print(c(resid(modCOLR)[1:10]))
+ print(predict(modCOLR, type = "distribution", q = 1)[, 1:10])
+ print(predict(modCOLR, type = "quantile", prob = 0.5)[, 1:10])
+ print.default(head(simulate(modCOLR)))
+ print(as.data.frame(head(estfun(modCOLR))))
+ plot(modCOLR, type = "survivor")
+ plot(modCOLR, type = "density", K = 120)
+ print(modCOLR)
+ }
Loading required package: survival
Loading required package: TH.data
Loading required package: MASS
Attaching package: 'MASS'
The following object is masked from 'package:CVXR':
huber
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Error in Rmosek::mosek(prob, opts) :
Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
Calls: tramnet ... method(solve_via_data, CVXR::Mosek_Solver) -> <Anonymous>
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.0-99
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘tramnet.Rnw’ using knitr
Quitting from tramnet.Rnw:936-941 [BH_Linear2]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `Rmosek::mosek()`:
! Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
---
Backtrace:
x
1. \-tramnet::tramnet(m0, x = x, alpha = 0, lambda = 0)
2. \-CVXR::psolve(prob, ...)
3. \-CVXR::solve_via_data(...)
4. +-S7::S7_dispatch()
5. \-CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
6. \-CVXR::solve_via_data(...)
7. +-S7::S7_dispatch()
8. \-CVXR (local) `method(solve_via_data, CVXR::Mosek_Solver)`(...)
9. \-Rmosek::mosek(prob, opts)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'tramnet.Rnw' failed with diagnostics:
Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
--- failed re-building ‘tramnet.Rnw’
SUMMARY: processing the following file failed:
‘tramnet.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-gcc, r-devel-macos-arm64, r-release-macos-arm64, r-oldrel-macos-arm64
Version: 0.0-99
Check: tests
Result: ERROR
Running ‘Colr-pen.R’ [2s/3s]
Running the tests in ‘tests/Colr-pen.R’ failed.
Complete output:
> # Tests for COLR models
>
> set.seed(0)
>
> ## Depencies
> ## IGNORE_RDIFF_BEGIN
> library("tramnet")
Loading required package: tram
Loading required package: mlt
Loading required package: basefun
Loading required package: variables
Loading required package: mvtnorm
Loading required package: CVXR
Attaching package: 'CVXR'
The following objects are masked from 'package:stats':
power, sd, var
The following objects are masked from 'package:base':
norm, outer
Loading required package: mlrMBO
Loading required package: mlr
Loading required package: ParamHelpers
Loading required package: smoof
Loading required package: checkmate
> library("sandwich")
>
> ## IGNORE_RDIFF_END
> old <- options(digits = 3)
>
> if (require("survival") & require("TH.data")) {
+ ## Exact and Right censored
+ data("GBSG2", package = "TH.data")
+ GBSG2$surv <- with(GBSG2, Surv(time, cens))
+ x <- matrix(1 * (GBSG2$horTh == "yes"), ncol = 1)
+ colnames(x) <- "horTh"
+
+ yCOLR <- Colr(surv ~ 1, data = GBSG2, log_first = TRUE, order = 10, support = c(1e-12, max(GBSG2$time)))
+ modCOLR <- tramnet(yCOLR, x, lambda = 0, alpha = 0)
+ yCOLRb <- Colr(surv ~ horTh, data = GBSG2, log_first = TRUE, order = 10)
+ print(max(abs(coef(yCOLRb, with_baseline = FALSE) -
+ coef(modCOLR, with_baseline = FALSE))))
+ print(logLik(yCOLRb))
+ print(logLik(modCOLR))
+ print(-modCOLR$result$value)
+ print(logLik(modCOLR, newdata = tramnet:::.get_tramnet_data(modCOLR)[1:10, ]))
+
+ ## methods
+ print(coef(modCOLR, tol = 0, with_baseline = TRUE))
+ print(logLik(modCOLR))
+ print(c(resid(modCOLR)[1:10]))
+ print(predict(modCOLR, type = "distribution", q = 1)[, 1:10])
+ print(predict(modCOLR, type = "quantile", prob = 0.5)[, 1:10])
+ print.default(head(simulate(modCOLR)))
+ print(as.data.frame(head(estfun(modCOLR))))
+ plot(modCOLR, type = "survivor")
+ plot(modCOLR, type = "density", K = 120)
+ print(modCOLR)
+ }
Loading required package: survival
Loading required package: TH.data
Loading required package: MASS
Attaching package: 'MASS'
The following object is masked from 'package:CVXR':
huber
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Error in Rmosek::mosek(prob, opts) :
Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
Calls: tramnet ... method(solve_via_data, CVXR::Mosek_Solver) -> <Anonymous>
Execution halted
Flavor: r-devel-macos-arm64
Version: 0.0-99
Check: tests
Result: ERROR
Running ‘Colr-pen.R’ [2s/4s]
Running the tests in ‘tests/Colr-pen.R’ failed.
Complete output:
> # Tests for COLR models
>
> set.seed(0)
>
> ## Depencies
> ## IGNORE_RDIFF_BEGIN
> library("tramnet")
Loading required package: tram
Loading required package: mlt
Loading required package: basefun
Loading required package: variables
Loading required package: mvtnorm
Loading required package: CVXR
Attaching package: 'CVXR'
The following objects are masked from 'package:stats':
power, sd, var
The following objects are masked from 'package:base':
norm, outer
Loading required package: mlrMBO
Loading required package: mlr
Loading required package: ParamHelpers
Loading required package: smoof
Loading required package: checkmate
> library("sandwich")
>
> ## IGNORE_RDIFF_END
> old <- options(digits = 3)
>
> if (require("survival") & require("TH.data")) {
+ ## Exact and Right censored
+ data("GBSG2", package = "TH.data")
+ GBSG2$surv <- with(GBSG2, Surv(time, cens))
+ x <- matrix(1 * (GBSG2$horTh == "yes"), ncol = 1)
+ colnames(x) <- "horTh"
+
+ yCOLR <- Colr(surv ~ 1, data = GBSG2, log_first = TRUE, order = 10, support = c(1e-12, max(GBSG2$time)))
+ modCOLR <- tramnet(yCOLR, x, lambda = 0, alpha = 0)
+ yCOLRb <- Colr(surv ~ horTh, data = GBSG2, log_first = TRUE, order = 10)
+ print(max(abs(coef(yCOLRb, with_baseline = FALSE) -
+ coef(modCOLR, with_baseline = FALSE))))
+ print(logLik(yCOLRb))
+ print(logLik(modCOLR))
+ print(-modCOLR$result$value)
+ print(logLik(modCOLR, newdata = tramnet:::.get_tramnet_data(modCOLR)[1:10, ]))
+
+ ## methods
+ print(coef(modCOLR, tol = 0, with_baseline = TRUE))
+ print(logLik(modCOLR))
+ print(c(resid(modCOLR)[1:10]))
+ print(predict(modCOLR, type = "distribution", q = 1)[, 1:10])
+ print(predict(modCOLR, type = "quantile", prob = 0.5)[, 1:10])
+ print.default(head(simulate(modCOLR)))
+ print(as.data.frame(head(estfun(modCOLR))))
+ plot(modCOLR, type = "survivor")
+ plot(modCOLR, type = "density", K = 120)
+ print(modCOLR)
+ }
Loading required package: survival
Loading required package: TH.data
Loading required package: MASS
Attaching package: 'MASS'
The following object is masked from 'package:CVXR':
huber
Attaching package: 'TH.data'
The following object is masked from 'package:MASS':
geyser
Error in Rmosek::mosek(prob, opts) :
Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
Calls: tramnet ... method(solve_via_data, CVXR::Mosek_Solver) -> <Anonymous>
Execution halted
Flavors: r-release-macos-arm64, r-oldrel-macos-arm64
Current CRAN status: ERROR: 2, WARN: 2, OK: 10
Version: 0.0-8
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘tramvs.Rnw’ using knitr
Quitting from tramvs.Rnw:385-390 [profile]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `as.vector()`:
! cannot coerce type 'object' to vector of type 'any'
---
Backtrace:
x
1. \-tramnet::tramnet(m0, X, lambda = 0, alpha = 1)
2. \-tramnet:::.tramnet_objective(...)
3. +-trdat$const$ui %*% theta
4. \-trdat$const$ui %*% theta
5. +-(if (length(dim(y)) == 2L) as.matrix else as.vector)(y)
6. +-(if (length(dim(y)) == 2L) as.matrix else as.vector)(y)
7. \-base::as.matrix.default(y)
8. \-base::array(...)
9. \-base::as.vector(data)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'tramvs.Rnw' failed with diagnostics:
cannot coerce type 'object' to vector of type 'any'
--- failed re-building ‘tramvs.Rnw’
SUMMARY: processing the following file failed:
‘tramvs.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.0-8
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘tramvs.Rnw’ using knitr
Quitting from tramvs.Rnw:385-390 [profile]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `Rmosek::mosek()`:
! Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
---
Backtrace:
x
1. \-tramnet::tramnet(m0, X, lambda = 0, alpha = 1)
2. \-CVXR::psolve(prob, ...)
3. \-CVXR::solve_via_data(...)
4. +-S7::S7_dispatch()
5. \-CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
6. \-CVXR::solve_via_data(...)
7. +-S7::S7_dispatch()
8. \-CVXR (local) `method(solve_via_data, CVXR::Mosek_Solver)`(...)
9. \-Rmosek::mosek(prob, opts)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'tramvs.Rnw' failed with diagnostics:
Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
--- failed re-building ‘tramvs.Rnw’
SUMMARY: processing the following file failed:
‘tramvs.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.0-8
Check: re-building of vignette outputs
Result: WARN
Error(s) in re-building vignettes:
--- re-building ‘tramvs.Rnw’ using knitr
Error: processing vignette 'tramvs.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'tramvs.tex' failed.
LaTeX errors:
! LaTeX Error: File `accents.sty' not found.
Type X to quit or <RETURN> to proceed,
or enter new name. (Default extension: sty)
! Emergency stop.
<read *>
l.3 ^^M
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘tramvs.Rnw’
SUMMARY: processing the following file failed:
‘tramvs.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavors: r-release-macos-arm64, r-oldrel-macos-arm64