Last updated on 2025-10-31 07:52:01 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.6.0 | 26.94 | 254.56 | 281.50 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.6.0 | 19.72 | 212.58 | 232.30 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.6.3 | 57.00 | 217.20 | 274.20 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 0.6.3 | 46.00 | 191.44 | 237.44 | OK | |
| r-devel-windows-x86_64 | 0.6.0 | 12.00 | 5.00 | 17.00 | ERROR | |
| r-patched-linux-x86_64 | 0.6.0 | 27.01 | 240.76 | 267.77 | OK | |
| r-release-linux-x86_64 | 0.6.0 | 25.84 | 238.63 | 264.47 | OK | |
| r-release-macos-arm64 | 0.6.3 | 6.00 | 51.00 | 57.00 | OK | |
| r-release-macos-x86_64 | 0.6.3 | 14.00 | 118.00 | 132.00 | OK | |
| r-release-windows-x86_64 | 0.6.0 | 23.00 | 171.00 | 194.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.6.3 | 6.00 | 56.00 | 62.00 | OK | |
| r-oldrel-macos-x86_64 | 0.6.3 | 29.00 | 140.00 | 169.00 | OK | |
| r-oldrel-windows-x86_64 | 0.6.0 | 32.00 | 224.00 | 256.00 | ERROR |
Version: 0.6.0
Check: whether package can be installed
Result: ERROR
Installation failed.
Flavor: r-devel-windows-x86_64
Version: 0.6.0
Check: whether package can be installed
Result: WARN
Found the following significant warnings:
Warning: Torch libraries are installed but loading them caused a segfault.
Flavors: r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.6.0
Check: examples
Result: ERROR
Running examples in 'survdnn-Ex.R' failed
The error most likely occurred in:
> ### Name: brier
> ### Title: Brier Score for Right-Censored Survival Data at a Fixed Time
> ### Aliases: brier
>
> ### ** Examples
>
> library(survival)
Attaching package: 'survival'
The following object is masked from 'package:survdnn':
brier
> data(veteran, package = "survival")
Warning in data(veteran, package = "survival") :
data set 'veteran' not found
> mod <- survdnn(Surv(time, status) ~
+ age + karno + celltype, data = veteran, epochs = 50, verbose = FALSE)
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
Flavors: r-release-windows-x86_64, r-oldrel-windows-x86_64
Version: 0.6.0
Check: tests
Result: ERROR
Running 'testthat.R' [8s]
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:16:3'): 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:16:3
2. └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
3. └─methods$initialize(NULL, NULL, ...)
4. └─torch:::torch_tensor_cpp(...)
── Error ('test-losses.R:29:3'): 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:29:3
2. └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
3. └─methods$initialize(NULL, NULL, ...)
4. └─torch:::torch_tensor_cpp(...)
── Error ('test-losses.R:40:3'): 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:40:3
2. └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
3. └─methods$initialize(NULL, NULL, ...)
4. └─torch:::torch_tensor_cpp(...)
── Error ('test-losses.R:56:3'): 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:56:3
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
Flavor: r-release-windows-x86_64
Version: 0.6.0
Check: tests
Result: ERROR
Running 'testthat.R' [10s]
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:16:3'): 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:16:3
2. └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
3. └─methods$initialize(NULL, NULL, ...)
4. └─torch:::torch_tensor_cpp(...)
── Error ('test-losses.R:29:3'): 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:29:3
2. └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
3. └─methods$initialize(NULL, NULL, ...)
4. └─torch:::torch_tensor_cpp(...)
── Error ('test-losses.R:40:3'): 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:40:3
2. └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
3. └─methods$initialize(NULL, NULL, ...)
4. └─torch:::torch_tensor_cpp(...)
── Error ('test-losses.R:56:3'): 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:56:3
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
Flavor: r-oldrel-windows-x86_64