CRAN Package Check Results for Maintainer Giancarlo Vercellino <giancarlo.vercellino at gmail.com>

CRAN Package Check Results for Maintainer ‘Giancarlo Vercellino <giancarlo.vercellino at gmail.com>’

Last updated on 2025-05-15 07:50:08 CEST.

Package	ERROR	NOTE	OK
audrex		2	11
codez			13
dymo			13
hmix			13
janus			13
jenga		2	11
lambdaTS		2	11
naive			13
proteus			13
segen		2	11
sense		2	11
snap		2	11
spinner	1		12
spooky		2	11
tetragon		2	11
xpect			13

Package audrex

Current CRAN status: NOTE: 2, OK: 11

Version: 2.0.1
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Giancarlo Vercellino <giancarlo.vercellino@gmail.com>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = "Giancarlo", family = "Vercellino", role = c("aut", "cre"), email = "giancarlo.vercellino@gmail.com") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package codez

Current CRAN status: OK: 13

Package dymo

Current CRAN status: OK: 13

Package hmix

Current CRAN status: OK: 13

Package janus

Current CRAN status: OK: 13

Package jenga

Current CRAN status: NOTE: 2, OK: 11

Version: 1.3.0
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Giancarlo Vercellino <giancarlo.vercellino@gmail.com>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = "Giancarlo", family = "Vercellino", role = c("aut", "cre"), email = "giancarlo.vercellino@gmail.com") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package lambdaTS

Current CRAN status: NOTE: 2, OK: 11

Version: 1.1
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Giancarlo Vercellino <giancarlo.vercellino@gmail.com>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = "Giancarlo", family = "Vercellino", role = c("aut", "cre"), email = "giancarlo.vercellino@gmail.com") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package naive

Current CRAN status: OK: 13

Package proteus

Current CRAN status: OK: 13

Package segen

Current CRAN status: NOTE: 2, OK: 11

Version: 1.1.0
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Giancarlo Vercellino <giancarlo.vercellino@gmail.com>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = "Giancarlo", family = "Vercellino", role = c("aut", "cre"), email = "giancarlo.vercellino@gmail.com") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package sense

Current CRAN status: NOTE: 2, OK: 11

Package snap

Current CRAN status: NOTE: 2, OK: 11

Package spinner

Current CRAN status: ERROR: 1, OK: 12

Version: 1.1.0
Check: tests
Result: ERROR Running ‘testthat.R’ [842s/517s] 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/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(spinner) > > test_check("spinner") epoch: 10 Train loss: 0.7204121 Val loss: 0.7203274 epoch: 20 Train loss: 0.6296779 Val loss: 0.7302311 epoch: 30 Train loss: 0.8075095 Val loss: 0.7627564 epoch: 40 Train loss: 0.6625845 Val loss: 0.7967191 early stop at epoch: 40 Train loss: 0.6625845 Val loss: 0.7967191 epoch: 10 Train loss: 0.7151833 Val loss: 0.5440799 epoch: 20 Train loss: 0.6911519 Val loss: 0.5959554 epoch: 30 Train loss: 0.6927945 Val loss: 0.6695415 epoch: 40 Train loss: 0.751623 Val loss: 0.5734559 epoch: 50 Train loss: 0.7976046 Val loss: 0.5956052 epoch: 60 Train loss: 0.7538683 Val loss: 0.6761467 epoch: 70 Train loss: 0.8191086 Val loss: 0.5360289 early stop at epoch: 74 Train loss: 0.8203162 Val loss: 0.6210989 epoch: 10 Train loss: 0.6845793 Val loss: 0.6112297 epoch: 20 Train loss: 0.7940713 Val loss: 0.9094752 epoch: 30 Train loss: 0.7393802 Val loss: 0.9037513 early stop at epoch: 30 Train loss: 0.7393802 Val loss: 0.9037513 epoch: 10 Train loss: 0.6684072 Val loss: 0.769263 epoch: 20 Train loss: 0.68843 Val loss: 0.4726485 epoch: 30 Train loss: 0.7632083 Val loss: 0.4042826 epoch: 40 Train loss: 0.7304531 Val loss: 0.5822257 epoch: 50 Train loss: 0.7158087 Val loss: 0.5855912 epoch: 60 Train loss: 0.7468383 Val loss: 0.7975863 epoch: 70 Train loss: 0.7592491 Val loss: 0.3772056 epoch: 80 Train loss: 0.6885586 Val loss: 0.7985604 early stop at epoch: 87 Train loss: 0.6689662 Val loss: 0.8231781 time: 169.149 sec elapsed epoch: 10 Train loss: 0.6176803 Val loss: 0.63171 epoch: 20 Train loss: 0.7412597 Val loss: 0.7585567 epoch: 30 Train loss: 0.743888 Val loss: 0.7438254 early stop at epoch: 34 Train loss: 0.667655 Val loss: 0.7830914 epoch: 10 Train loss: 0.7845878 Val loss: 0.5987629 epoch: 20 Train loss: 0.7093925 Val loss: 0.5980781 epoch: 30 Train loss: 0.7922461 Val loss: 0.5836344 epoch: 40 Train loss: 0.7660909 Val loss: 0.5829992 epoch: 50 Train loss: 0.7537355 Val loss: 0.5705996 epoch: 60 Train loss: 0.7458642 Val loss: 0.6022186 early stop at epoch: 63 Train loss: 0.7740546 Val loss: 0.6061423 epoch: 10 Train loss: 0.6709067 Val loss: 0.5779042 epoch: 20 Train loss: 0.6432183 Val loss: 0.6304967 epoch: 30 Train loss: 0.6958638 Val loss: 0.6456637 early stop at epoch: 37 Train loss: 0.4278853 Val loss: 0.7298496 epoch: 10 Train loss: 0.6490998 Val loss: 0.8072621 epoch: 20 Train loss: 0.6196672 Val loss: 0.6969966 epoch: 30 Train loss: 0.6187429 Val loss: 0.79194 early stop at epoch: 30 Train loss: 0.6187429 Val loss: 0.79194 time: 92.432 sec elapsed epoch: 10 Train loss: 0.3301883 Val loss: 0.2502386 epoch: 20 Train loss: 0.3329349 Val loss: 0.3107572 epoch: 30 Train loss: 0.3524886 Val loss: 0.197439 early stop at epoch: 33 Train loss: 0.3217809 Val loss: 0.3757134 epoch: 10 Train loss: 0.3472048 Val loss: 0.2388925 epoch: 20 Train loss: 0.2989524 Val loss: 0.2965727 epoch: 30 Train loss: 0.3447234 Val loss: 0.4693904 early stop at epoch: 30 Train loss: 0.3447234 Val loss: 0.4693904 epoch: 10 Train loss: 0.2841241 Val loss: 0.3900169 epoch: 20 Train loss: 0.2636533 Val loss: 0.3575157 epoch: 30 Train loss: 0.2474763 Val loss: 0.2139024 early stop at epoch: 34 Train loss: 0.228196 Val loss: 0.3763213 epoch: 10 Train loss: 0.3501405 Val loss: 0.2388428 epoch: 20 Train loss: 0.3189723 Val loss: 0.3690073 epoch: 30 Train loss: 0.2649272 Val loss: 0.2128325 early stop at epoch: 33 Train loss: 0.2953162 Val loss: 0.4754127 time: 70.52 sec elapsed epoch: 10 Train loss: 0.3482861 Val loss: 0.439102 epoch: 20 Train loss: 0.3482861 Val loss: 0.442521 epoch: 30 Train loss: 0.3482861 Val loss: 0.442521 epoch: 40 Train loss: 0.3482861 Val loss: 0.442521 early stop at epoch: 42 Train loss: 0.3482861 Val loss: 0.4489033 epoch: 10 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 20 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 30 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 40 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 50 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 60 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 70 Train loss: 0.6628533 Val loss: 0.4837587 epoch: 80 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 90 Train loss: 0.6628533 Val loss: 0.5252546 epoch: 100 Train loss: 0.6628533 Val loss: 0.4969321 epoch: 10 Train loss: 0.4699441 Val loss: 0.47624 epoch: 20 Train loss: 0.5934506 Val loss: 0.477994 epoch: 30 Train loss: 0.4686506 Val loss: 0.477994 early stop at epoch: 33 Train loss: 0.4699441 Val loss: 0.5299301 time: 41.394 sec elapsed epoch: 10 Train loss: 0.6049055 Val loss: 0.6137345 epoch: 20 Train loss: 0.6049055 Val loss: 0.6395074 epoch: 30 Train loss: 0.6049055 Val loss: 0.6102574 early stop at epoch: 33 Train loss: 0.6016685 Val loss: 0.6388255 epoch: 10 Train loss: 0.7894533 Val loss: 0.7001863 epoch: 20 Train loss: 0.75912 Val loss: 0.6708778 epoch: 30 Train loss: 0.75912 Val loss: 0.665655 epoch: 40 Train loss: 0.75912 Val loss: 0.6708778 epoch: 50 Train loss: 0.75912 Val loss: 0.6708778 epoch: 60 Train loss: 0.75912 Val loss: 0.6708778 epoch: 70 Train loss: 0.75912 Val loss: 0.6708778 epoch: 80 Train loss: 0.75912 Val loss: 0.6844155 epoch: 90 Train loss: 0.75912 Val loss: 0.6747321 early stop at epoch: 92 Train loss: 0.7888336 Val loss: 0.6859844 epoch: 10 Train loss: 0.6611488 Val loss: 0.6663996 epoch: 20 Train loss: 0.6538801 Val loss: 0.635769 epoch: 30 Train loss: 0.6611488 Val loss: 0.6898336 epoch: 40 Train loss: 0.6611488 Val loss: 0.622568 epoch: 50 Train loss: 0.6575313 Val loss: 0.635769 early stop at epoch: 53 Train loss: 0.6837438 Val loss: 0.7485217 time: 45.076 sec elapsed epoch: 10 Train loss: 0.6537183 Val loss: 0.6717774 epoch: 20 Train loss: 0.7236333 Val loss: 0.6631523 epoch: 30 Train loss: 0.6727129 Val loss: 0.6678619 early stop at epoch: 33 Train loss: 0.7521129 Val loss: 0.65158 epoch: 10 Train loss: 0.4618223 Val loss: 0.4949274 epoch: 20 Train loss: 0.4688416 Val loss: 0.5466486 epoch: 30 Train loss: 0.4598603 Val loss: 0.5273082 early stop at epoch: 31 Train loss: 0.3738953 Val loss: 0.5442909 epoch: 10 Train loss: 0.6622298 Val loss: 0.5430651 epoch: 20 Train loss: 0.6763593 Val loss: 0.5865301 epoch: 30 Train loss: 0.6352437 Val loss: 0.5887785 early stop at epoch: 39 Train loss: 0.6946709 Val loss: 0.5821269 time: 65.37 sec elapsed random search: 151.853 sec elapsed epoch: 10 Train loss: 0.07086422 Val loss: 0.1314432 epoch: 20 Train loss: 0.07086422 Val loss: 0.07086423 epoch: 30 Train loss: 0.07086422 Val loss: 0.07086423 early stop at epoch: 35 Train loss: 0.07086422 Val loss: 0.1892674 epoch: 10 Train loss: 0.201456 Val loss: 0.1184543 epoch: 20 Train loss: 0.1184542 Val loss: 0.1184543 epoch: 30 Train loss: 0.1184542 Val loss: 0.1155253 early stop at epoch: 36 Train loss: 0.1184542 Val loss: 0.1541383 epoch: 10 Train loss: 0.08458349 Val loss: 0.06303233 epoch: 20 Train loss: 0.1653197 Val loss: 0.05270578 epoch: 30 Train loss: 0.13353 Val loss: 0.115967 early stop at epoch: 36 Train loss: 0.1653198 Val loss: 0.3284115 time: 26.266 sec elapsed [ FAIL 1 | WARN 69 | SKIP 0 | PASS 46 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test.R:89:13'): Correct outcome format and size for base outcome3 ─── <purrr_error_indexed/rlang_error/error/condition> Error in `purrr::pmap(hyper_params, ~spinner(graph, target, node_labels, edge_labels, context_labels, direction = ..1, sampling = NA, threshold = 0.01, method = ..2, node_embedding_size = ..13, edge_embedding_size = ..14, context_embedding_size = ..15, update_order = ..3, n_layers = ..4, skip_shortcut = ..5, forward_layer = ..6, forward_activation = ..7, forward_drop = ..8, mode = ..9, optimization = ..10, epochs, lr = ..11, patience, weight_decay = ..12, reps, folds, holdout, verbose, seed))`: i In index: 2. Caused by error in `pmap()`: i In index: 1. Caused by error in `training_function()`: ! not enough data for training [ FAIL 1 | WARN 69 | SKIP 0 | PASS 46 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Package spooky

Current CRAN status: NOTE: 2, OK: 11

Version: 1.4.0
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Giancarlo Vercellino <giancarlo.vercellino@gmail.com>’ No Authors@R field in DESCRIPTION. Please add one, modifying Authors@R: person(given = "Giancarlo", family = "Vercellino", role = c("aut", "cre"), email = "giancarlo.vercellino@gmail.com") as necessary. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Package tetragon

Current CRAN status: NOTE: 2, OK: 11

Package xpect

Current CRAN status: OK: 13

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