* using log directory 'd:/RCompile/CRANincoming/R-devel/survdnn.Rcheck'
* using R Under development (unstable) (2025-10-28 r88973 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 14.2.0
    GNU Fortran (GCC) 14.2.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'survdnn/DESCRIPTION' ... OK
* this is package 'survdnn' version '0.6.2'
* package encoding: UTF-8
* checking CRAN incoming feasibility ... [16s] OK
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'survdnn' can be installed ... WARNING
Found the following significant warnings:
  Warning: Torch libraries are installed but loading them caused a segfault.
See 'd:/RCompile/CRANincoming/R-devel/survdnn.Rcheck/00install.out' for details.
* checking installed package size ... OK
* checking package directory ... OK
* checking for future file timestamps ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [29s] OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... ERROR
Running examples in 'survdnn-Ex.R' failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: brier
> ### Title: Brier Score for Right-Censored Survival Data at a Fixed Time
> ### Aliases: brier
> 
> ### ** Examples
> 
> if (torch::torch_is_installed()) {
+ library(survival)
+ data(veteran, package = "survival")
+ mod <- survdnn(Surv(time, status) ~
+ age + karno + celltype, data = veteran, epochs = 50, verbose = FALSE)
+ pred <- predict(mod, newdata = veteran, type = "survival", times = c(30, 90, 180))
+ y <- model.response(model.frame(mod$formula, veteran))
+ survdnn::brier(y, pre_sp = pred[["t=90"]], t_star = 90)
+ }

Attaching package: 'survival'

The following object is masked from 'package:survdnn':

    brier

Warning in data(veteran, package = "survival") :
  data set 'veteran' not found
Error in cpp_torch_float32() : 
  Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Calls: survdnn ... <Anonymous> -> <Anonymous> -> <Anonymous> -> cpp_torch_float32
Execution halted
* checking for unstated dependencies in 'tests' ... OK
* checking tests ... ERROR
  Running 'testthat.R'
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(survdnn)
  Warning message:
  Torch libraries are installed but loading them caused a segfault.
  Please reinstall torch with `install_torch(reinstall = TRUE)`
  You can disable this check by setting `TORCH_VERIFY_LOAD` to "FALSE"
  ! callr subprocess failed: could not start R, exited with non-zero status, has
  crashed or was killed 
  > 
  > test_check("survdnn")
  [ FAIL 5 | WARN 0 | SKIP 21 | PASS 0 ]
  
  ══ Skipped tests (21) ══════════════════════════════════════════════════════════
  • On CRAN (21): 'test-cv_survdnn.R:2:3', 'test-cv_survdnn.R:25:3',
    'test-evaluate_survdnn.R:2:3', 'test-evaluate_survdnn.R:21:3',
    'test-metrics.R:2:3', 'test-metrics.R:20:3', 'test-metrics.R:38:3',
    'test-metrics.R:56:3', 'test-plot.survdnn.R:2:3', 'test-plot.survdnn.R:15:3',
    'test-plot.survdnn.R:32:3', 'test-predict.survdnn.R:2:3',
    'test-predict.survdnn.R:17:3', 'test-predict.survdnn.R:35:3',
    'test-predict.survdnn.R:50:3', 'test-print.survdnn.R:2:3',
    'test-summary.survdnn.R:2:3', 'test-survdnn.R:2:3',
    'test-tune_survdnn.R:2:3', 'test-tune_survdnn.R:62:3',
    'test-tune_survdnn.R:92:3'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-losses.R:5:3'): cox_loss returns scalar tensor ─────────────────
  <std::runtime_error/C++Error/error/condition>
  Error in `torch_tensor_cpp(data, dtype, device, requires_grad, pin_memory)`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
  Backtrace:
      ▆
   1. └─torch::torch_tensor(runif(20, 1, 100)) at test-losses.R:5:3
   2.   └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
   3.     └─methods$initialize(NULL, NULL, ...)
   4.       └─torch:::torch_tensor_cpp(...)
  ── Error ('test-losses.R:18:3'): cox_l2_loss returns penalized scalar tensor ───
  <std::runtime_error/C++Error/error/condition>
  Error in `torch_tensor_cpp(data, dtype, device, requires_grad, pin_memory)`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
  Backtrace:
      ▆
   1. └─torch::torch_tensor(runif(20, 1, 100)) at test-losses.R:18:3
   2.   └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
   3.     └─methods$initialize(NULL, NULL, ...)
   4.       └─torch:::torch_tensor_cpp(...)
  ── Error ('test-losses.R:33:3'): aft_loss returns scalar tensor (uncensored only) ──
  <std::runtime_error/C++Error/error/condition>
  Error in `torch_tensor_cpp(data, dtype, device, requires_grad, pin_memory)`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
  Backtrace:
      ▆
   1. └─torch::torch_tensor(runif(20, 1, 100)) at test-losses.R:33:3
   2.   └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
   3.     └─methods$initialize(NULL, NULL, ...)
   4.       └─torch:::torch_tensor_cpp(...)
  ── Error ('test-losses.R:46:3'): aft_loss returns 0 for fully censored data ────
  <std::runtime_error/C++Error/error/condition>
  Error in `torch_tensor_cpp(data, dtype, device, requires_grad, pin_memory)`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
  Backtrace:
      ▆
   1. └─torch::torch_tensor(runif(10, 1, 100)) at test-losses.R:46:3
   2.   └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
   3.     └─methods$initialize(NULL, NULL, ...)
   4.       └─torch:::torch_tensor_cpp(...)
  ── Error ('test-losses.R:62:3'): coxtime_loss implements partial likelihood faithfully ──
  <std::runtime_error/C++Error/error/condition>
  Error in `(function (size, options) 
  {
      .Call(`_torch_cpp_torch_namespace_randn_size_IntArrayRef`, 
          size, options)
  })(size = c(50, 1), options = list(dtype = NULL, layout = NULL, 
      device = NULL, requires_grad = FALSE))`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
  Backtrace:
      ▆
   1. └─torch::torch_randn(c(n, 1)) at test-losses.R:62:3
   2.   ├─base::do.call(.torch_randn, args)
   3.   └─torch (local) `<fn>`(options = `<named list>`, size = `<dbl>`)
   4.     └─torch:::call_c_function(...)
   5.       └─torch:::do_call(f, args)
   6.         ├─base::do.call(fun, args)
   7.         └─torch (local) `<fn>`(size = `<dbl>`, options = `<named list>`)
  
  [ FAIL 5 | WARN 0 | SKIP 21 | PASS 0 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... [19s] OK
* checking HTML version of manual ... OK
* DONE
Status: 2 ERRORs, 1 WARNING