Last updated on 2025-10-23 11:50:09 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.2 | 67.06 | 182.33 | 249.39 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.0.2 | 40.86 | 133.60 | 174.46 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.0.2 | 327.00 | 103.30 | 430.30 | NOTE | |
| r-devel-linux-x86_64-fedora-gcc | 1.0.2 | 281.00 | 140.82 | 421.82 | NOTE | |
| r-devel-windows-x86_64 | 1.0.2 | 67.00 | 118.00 | 185.00 | ERROR | |
| r-patched-linux-x86_64 | 1.0.2 | 66.43 | 171.53 | 237.96 | NOTE | |
| r-release-linux-x86_64 | 1.0.2 | 65.67 | 171.80 | 237.47 | NOTE | |
| r-release-macos-arm64 | 1.0.2 | 27.00 | 76.00 | 103.00 | NOTE | |
| r-release-macos-x86_64 | 1.0.2 | 44.00 | 120.00 | 164.00 | NOTE | |
| r-release-windows-x86_64 | 1.0.2 | 70.00 | 120.00 | 190.00 | ERROR | |
| r-oldrel-macos-arm64 | 1.0.2 | 25.00 | 51.00 | 76.00 | NOTE | |
| r-oldrel-macos-x86_64 | 1.0.2 | 30.00 | 77.00 | 107.00 | NOTE | |
| r-oldrel-windows-x86_64 | 1.0.2 | 85.00 | 161.00 | 246.00 | ERROR |
Version: 1.0.2
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Eric Dunipace <edunipace@mail.harvard.edu>’
The Description field contains
Dunipace, Eric (2021) <arXiv:2109.01991>. The package will build the
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.0.2
Check: DESCRIPTION meta-information
Result: NOTE
Missing dependency on R >= 4.1.0 because package code uses the pipe
|> or function shorthand \(...) syntax added in R 4.1.0.
File(s) using such syntax:
‘cotOOP.R’ ‘utils.R’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
Version: 1.0.2
Check: HTML version of manual
Result: NOTE
Found the following HTML validation problems:
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oop_loss_select.html:47:1 (oop_loss_select.Rd:10): Warning: missing </ul> before </div>
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Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.0.2
Check: examples
Result: ERROR
Running examples in 'causalOT-Ex.R' failed
The error most likely occurred in:
> ### Name: Measure
> ### Title: An R6 Class for setting up measures
> ### Aliases: Measure
>
> ### ** Examples
>
> if(torch::torch_is_installed()) {
+ m <- Measure(x = matrix(0, 10, 2), adapt = "none")
+ print(m)
+ m$x
+ m$x <- matrix(1,10,2) # must have same dimensions
+ m$x
+ m$weights
+ m$weights <- 1:10/sum(1:10)
+ m$weights
+
+ # with gradients
+ m <- Measure(x = matrix(0, 10, 2), adapt = "weights")
+ m$requires_grad # TRUE
+ m$requires_grad <- "none" # turns off
+ m$requires_grad # FALSE
+ m$requires_grad <- "x"
+ m$requires_grad # TRUE
+ m <- Measure(matrix(0, 10, 2), adapt = "none")
+ m$grad # NULL
+ m <- Measure(matrix(0, 10, 2), adapt = "weights")
+ loss <- sum(m$weights * 1:10)
+ loss$backward()
+ m$grad
+ # note the weights gradient is on the log softmax scale
+ #and the first parameter is fixed for identifiability
+ m$grad <- rep(1,9)
+ m$grad
+ }
Flavors: r-devel-windows-x86_64, r-release-windows-x86_64
Version: 1.0.2
Check: tests
Result: ERROR
Running 'testthat.R' [3s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(causalOT)
>
> test_check("causalOT")
Flavors: r-devel-windows-x86_64, r-release-windows-x86_64
Version: 1.0.2
Check: installed package size
Result: NOTE
installed size is 7.5Mb
sub-directories of 1Mb or more:
R 2.3Mb
libs 4.5Mb
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64
Version: 1.0.2
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: 'rkeops'
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: whether package can be installed
Result: WARN
Found the following significant warnings:
Warning: Torch libraries are installed but loading them caused a segfault.
See 'd:/Rcompile/CRANpkg/local/4.4/causalOT.Rcheck/00install.out' for details.
* used C++ compiler: 'g++.exe (GCC) 13.3.0'
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: dependencies in R code
Result: NOTE
Warning: 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
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: S3 generic/method consistency
Result: WARN
Warning: 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
See section 'Generic functions and methods' in the 'Writing R
Extensions' manual.
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: foreign function calls
Result: NOTE
Warning: 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
See chapter 'System and foreign language interfaces' in the 'Writing R
Extensions' manual.
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: R code for possible problems
Result: NOTE
Warning: 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
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: for code/documentation mismatches
Result: WARN
Warning: 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
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: Rd \usage sections
Result: NOTE
Warning: 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
The \usage entries for S3 methods should use the \method markup and not
their full name.
See chapter 'Writing R documentation files' in the 'Writing R
Extensions' manual.
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: examples
Result: ERROR
Running examples in 'causalOT-Ex.R' failed
The error most likely occurred in:
> ### Name: Measure
> ### Title: An R6 Class for setting up measures
> ### Aliases: Measure
>
> ### ** Examples
>
> if(torch::torch_is_installed()) {
+ m <- Measure(x = matrix(0, 10, 2), adapt = "none")
+ print(m)
+ m$x
+ m$x <- matrix(1,10,2) # must have same dimensions
+ m$x
+ m$weights
+ m$weights <- 1:10/sum(1:10)
+ m$weights
+
+ # with gradients
+ m <- Measure(x = matrix(0, 10, 2), adapt = "weights")
+ m$requires_grad # TRUE
+ m$requires_grad <- "none" # turns off
+ m$requires_grad # FALSE
+ m$requires_grad <- "x"
+ m$requires_grad # TRUE
+ m <- Measure(matrix(0, 10, 2), adapt = "none")
+ m$grad # NULL
+ m <- Measure(matrix(0, 10, 2), adapt = "weights")
+ loss <- sum(m$weights * 1:10)
+ loss$backward()
+ m$grad
+ # note the weights gradient is on the log softmax scale
+ #and the first parameter is fixed for identifiability
+ m$grad <- rep(1,9)
+ m$grad
+ }
Warning: 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
Error in cpp_cuda_is_available() :
Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Calls: Measure ... cuda_device_check -> <Anonymous> -> cpp_cuda_is_available
Execution halted
Flavor: r-oldrel-windows-x86_64
Version: 1.0.2
Check: tests
Result: ERROR
Running 'testthat.R' [39s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(causalOT)
>
> test_check("causalOT")
[ FAIL 22 | WARN 1 | SKIP 30 | PASS 123 ]
══ Skipped tests (30) ══════════════════════════════════════════════════════════
• On CRAN (30): 'test-OTmethod.R:28:3', 'test-OTmethod.R:97:3',
'test-OTmethod.R:195:3', 'test-OTmethod.R:246:3', 'test-OTmethod.R:295:3',
'test-OTmethod.R:392:3', 'test-OTmethod.R:477:3', 'test-OTmethod.R:519:3',
'test-OTmethod.R:566:3', 'test-PSIS.R:2:3', 'test-PSIS.R:34:3',
'test-PSIS.R:66:3', 'test-barycentric_projection.R:3:3',
'test-barycentric_projection.R:92:3', 'test-barycentric_projection.R:182:3',
'test-costMethod.R:50:3', 'test-cotClass.R:2:3', 'test-cotClass.R:64:3',
'test-cotClass.R:118:3', 'test-cotClass.R:188:3', 'test-cotClass.R:219:3',
'test-cotClass.R:323:3', 'test-cotClass.R:366:3', 'test-cotOOP.R:2:3',
'test-cotOOP.R:110:3', 'test-cotOOP.R:237:3', 'test-cotOOP.R:361:3',
'test-estimate_effect.R:3:3', 'test-estimate_effect.R:77:3',
'test-estimate_effect.R:135:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-OTmethod.R:14:3'): OT object forms tensor ──────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-OTmethod.R:14:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. └─causalOT:::OT$new(...)
10. └─causalOT (local) initialize(...)
11. └─torch::cuda_is_available()
12. └─torch:::cpp_cuda_is_available()
── Error ('test-OTmethod.R:74:3'): sinkhorn_loop runs, tensor ──────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT:::OT$new(...) at test-OTmethod.R:74:3
2. └─causalOT (local) initialize(...)
3. └─torch::cuda_is_available()
4. └─torch:::cpp_cuda_is_available()
── Error ('test-OTmethod.R:175:3'): sinkhorn_self runs, tensor ─────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT:::OT$new(...) at test-OTmethod.R:175:3
2. └─causalOT (local) initialize(...)
3. └─torch::cuda_is_available()
4. └─torch:::cpp_cuda_is_available()
── Error ('test-OTmethod.R:361:3'): sinkhorn_dist runs, tensor ─────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT:::OT$new(...) at test-OTmethod.R:361:3
2. └─causalOT (local) initialize(...)
3. └─torch::cuda_is_available()
4. └─torch:::cpp_cuda_is_available()
── Error ('test-OTmethod.R:454:3'): sinkhorn_loop runs, tensor ─────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT:::OT$new(...) at test-OTmethod.R:454:3
2. └─causalOT (local) initialize(...)
3. └─torch::cuda_is_available()
4. └─torch:::cpp_cuda_is_available()
── Error ('test-calc_weight.R:14:3'): calc_weight works ────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(...) at test-calc_weight.R:14:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. ├─methods::new(...)
5. │ ├─methods::initialize(value, ...)
6. │ └─methods::initialize(value, ...)
7. └─causalOT:::gridSearch(data, estimand = "ATE.C", method, options)
8. └─causalOT:::balanceDistributions(...)
9. ├─base::do.call(cotOptions, options)
10. └─causalOT (local) `<fn>`(NULL)
11. └─causalOT:::cuda_device_check(device)
12. └─torch::cuda_is_available()
13. └─torch:::cpp_cuda_is_available()
── Error ('test-costMethod.R:15:3'): costTensor class forms ────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_torch_float64()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-costMethod.R:15:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. └─causalOT:::costTensor$new(x = x, y = y, p = 2L)
10. └─causalOT (local) initialize(...)
11. └─self$fun(x, y, p)
12. ├─torch::torch_tensor(x1, dtype = torch::torch_double())
13. │ └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
14. │ └─methods$initialize(NULL, NULL, ...)
15. │ └─torch:::torch_tensor_cpp(...)
16. └─torch::torch_double()
17. ├─torch_dtype$new(cpp_torch_float64())
18. │ └─methods$initialize(NULL, NULL, ...)
19. └─torch:::cpp_torch_float64()
── Error ('test-costMethod.R:115:3'): cost function forms appropriate classes ──
<std::runtime_error/C++Error/error/condition>
Error in `cpp_torch_float64()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-costMethod.R:115:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. └─causalOT:::cost(x = x, y = y, p = 2L)
10. └─costTensor$new(x, y, p = p, cost_function = cost_function)
11. └─causalOT (local) initialize(...)
12. └─self$fun(x, y, p)
13. ├─torch::torch_tensor(x1, dtype = torch::torch_double())
14. │ └─Tensor$new(data, dtype, device, requires_grad, pin_memory)
15. │ └─methods$initialize(NULL, NULL, ...)
16. │ └─torch:::torch_tensor_cpp(...)
17. └─torch::torch_double()
18. ├─torch_dtype$new(cpp_torch_float64())
19. │ └─methods$initialize(NULL, NULL, ...)
20. └─torch:::cpp_torch_float64()
── Error ('test-cotProblem.R:123:3'): cotProblem COT ───────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_silent(...) at test-cotProblem.R:123:3
2. │ └─testthat:::quasi_capture(enquo(object), NULL, evaluate_promise)
3. │ ├─testthat (local) .capture(...)
4. │ │ ├─withr::with_output_sink(...)
5. │ │ │ └─base::force(code)
6. │ │ ├─base::withCallingHandlers(...)
7. │ │ └─base::withVisible(code)
8. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
9. ├─testthat::expect_warning(...)
10. │ └─testthat:::quasi_capture(...)
11. │ ├─testthat (local) .capture(...)
12. │ │ └─base::withCallingHandlers(...)
13. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
14. └─causalOT:::cotProblem(...)
15. └─causalOT:::gridSearch(data, estimand, method, options)
16. └─causalOT:::balanceDistributions(...)
17. ├─base::do.call(cotOptions, options)
18. └─causalOT (local) `<fn>`(niter = 2L, nboot = 2, debias = TRUE, torch.optimizer = `<optm_lbf>`)
19. └─causalOT:::cuda_device_check(device)
20. └─torch::cuda_is_available()
21. └─torch:::cpp_cuda_is_available()
── Error ('test-cotProblem.R:146:3'): cotProblem NNM ───────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-cotProblem.R:146:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─causalOT:::cotProblem(...)
7. └─causalOT:::gridSearch(data, estimand, method, options)
8. └─causalOT:::balanceDistributions(...)
9. ├─base::do.call(cotOptions, options)
10. └─causalOT (local) `<fn>`(niter = 2L, nboot = 2, debias = TRUE, torch.optimizer = `<optm_lbf>`)
11. └─causalOT:::cuda_device_check(device)
12. └─torch::cuda_is_available()
13. └─torch:::cpp_cuda_is_available()
── Error ('test-dual_opts.R:10:3'): test forward functions ─────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::Measure(x, target.values = colMeans(z), adapt = "weights") at test-dual_opts.R:10:3
2. └─Measure_$new(...)
3. └─causalOT (local) initialize(...)
4. └─causalOT:::cuda_device_check(device)
5. └─torch::cuda_is_available()
6. └─torch:::cpp_cuda_is_available()
── Error ('test-dual_opts.R:159:3'): dual nn modules work as expected ──────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::Measure(x, target.values = colMeans(z), adapt = "weights") at test-dual_opts.R:159:3
2. └─Measure_$new(...)
3. └─causalOT (local) initialize(...)
4. └─causalOT:::cuda_device_check(device)
5. └─torch::cuda_is_available()
6. └─torch:::cpp_cuda_is_available()
── Error ('test-dual_opts.R:294:3'): training function works for dual optimizer ──
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::Measure(x, target.values = colMeans(z), adapt = "weights") at test-dual_opts.R:294:3
2. └─Measure_$new(...)
3. └─causalOT (local) initialize(...)
4. └─causalOT:::cuda_device_check(device)
5. └─torch::cuda_is_available()
6. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:210:3'): estimate effect works lm, ATT ───────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:210:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. └─causalOT:::balanceDistributions(...)
5. ├─base::do.call(cotOptions, options)
6. └─causalOT (local) `<fn>`(NULL)
7. └─causalOT:::cuda_device_check(device)
8. └─torch::cuda_is_available()
9. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:372:3'): estimate effect works lm, ATC ───────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:372:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. └─causalOT:::balanceDistributions(...)
5. ├─base::do.call(cotOptions, options)
6. └─causalOT (local) `<fn>`(NULL)
7. └─causalOT:::cuda_device_check(device)
8. └─torch::cuda_is_available()
9. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:523:3'): estimate effect works lm, ATE ───────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:523:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. ├─methods::new(...)
5. │ ├─methods::initialize(value, ...)
6. │ └─methods::initialize(value, ...)
7. └─causalOT:::gridSearch(data, estimand = "ATE.C", method, options)
8. └─causalOT:::balanceDistributions(...)
9. ├─base::do.call(cotOptions, options)
10. └─causalOT (local) `<fn>`(NULL)
11. └─causalOT:::cuda_device_check(device)
12. └─torch::cuda_is_available()
13. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:686:3'): ATT give proper var ─────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:686:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. └─causalOT:::balanceDistributions(...)
5. ├─base::do.call(cotOptions, options)
6. └─causalOT (local) `<fn>`(NULL)
7. └─causalOT:::cuda_device_check(device)
8. └─torch::cuda_is_available()
9. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:730:3'): ATT give proper var lm ──────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:730:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. └─causalOT:::balanceDistributions(...)
5. ├─base::do.call(cotOptions, options)
6. └─causalOT (local) `<fn>`(NULL)
7. └─causalOT:::cuda_device_check(device)
8. └─torch::cuda_is_available()
9. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:775:3'): ATC give proper var ─────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:775:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. └─causalOT:::balanceDistributions(...)
5. ├─base::do.call(cotOptions, options)
6. └─causalOT (local) `<fn>`(NULL)
7. └─causalOT:::cuda_device_check(device)
8. └─torch::cuda_is_available()
9. └─torch:::cpp_cuda_is_available()
── Error ('test-estimate_effect.R:819:3'): ATC give proper var lm ──────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. └─causalOT::calc_weight(original, estimand = estimand, method = "NNM") at test-estimate_effect.R:819:3
2. └─causalOT:::cotProblem(data, estimand, method, options)
3. └─causalOT:::gridSearch(data, estimand, method, options)
4. └─causalOT:::balanceDistributions(...)
5. ├─base::do.call(cotOptions, options)
6. └─causalOT (local) `<fn>`(NULL)
7. └─causalOT:::cuda_device_check(device)
8. └─torch::cuda_is_available()
9. └─torch:::cpp_cuda_is_available()
── Error ('test-gridSearch.R:119:3'): gridSearch COT ───────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-gridSearch.R:119:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─causalOT:::gridSearch(...)
7. └─causalOT:::balanceDistributions(...)
8. ├─base::do.call(cotOptions, options)
9. └─causalOT (local) `<fn>`(niter = 2L, nboot = 2, debias = TRUE, torch.optimizer = `<optm_lbf>`)
10. └─causalOT:::cuda_device_check(device)
11. └─torch::cuda_is_available()
12. └─torch:::cpp_cuda_is_available()
── Error ('test-gridSearch.R:168:3'): gridSearch NNM ───────────────────────────
<std::runtime_error/C++Error/error/condition>
Error in `cpp_cuda_is_available()`: Lantern is not loaded. Please use `install_torch()` to install additional dependencies.
Backtrace:
▆
1. ├─testthat::expect_warning(...) at test-gridSearch.R:168:3
2. │ └─testthat:::quasi_capture(...)
3. │ ├─testthat (local) .capture(...)
4. │ │ └─base::withCallingHandlers(...)
5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
6. └─causalOT:::gridSearch(...)
7. └─causalOT:::balanceDistributions(...)
8. ├─base::do.call(cotOptions, options)
9. └─causalOT (local) `<fn>`(niter = 2L, nboot = 2, debias = TRUE, torch.optimizer = `<optm_lbf>`)
10. └─causalOT:::cuda_device_check(device)
11. └─torch::cuda_is_available()
12. └─torch:::cpp_cuda_is_available()
[ FAIL 22 | WARN 1 | SKIP 30 | PASS 123 ]
Error: Test failures
Execution halted
Flavor: r-oldrel-windows-x86_64
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