Mon, 28 Jul 2025

Package REDCapR updated to version 1.5.0 with previous version 1.4.0 dated 2025-01-11

Title: Interaction Between R and REDCap
Description: Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Author: Will Beasley [aut, cre] , David Bard [ctb] , Thomas Wilson [ctb], John J Aponte [ctb], Rollie Parrish [ctb] , Benjamin Nutter [ctb], Andrew Peters [ctb] , Hao Zhu [ctb] , Janosch Linkersdoerfer [ctb] , Jonathan Mang [ctb] , Felix Torres [ctb], Philip [...truncated...]
Maintainer: Will Beasley <wibeasley@hotmail.com>

Diff between REDCapR versions 1.4.0 dated 2025-01-11 and 1.5.0 dated 2025-07-28

 DESCRIPTION                                                                           |   34 
 LICENSE                                                                               |    4 
 MD5                                                                                   |  768 +-
 NAMESPACE                                                                             |  110 
 NEWS.md                                                                               |  810 +-
 R/REDCapR-package.R                                                                   |  132 
 R/constant.R                                                                          |  462 -
 R/create-batch-glossary.R                                                             |  208 
 R/helpers-testing.R                                                                   |  264 
 R/kernel-api.R                                                                        |  238 
 R/metadata-utilities.R                                                                |  270 
 R/project-dag-write.R                                                                 |  364 -
 R/project-delete-multiple-arm.R                                                       |  220 
 R/project-delete-single-arm.R                                                         |  224 
 R/project-simple.R                                                                    |  332 -
 R/redcap-arm-export.R                                                                 |  372 -
 R/redcap-column-sanitize.R                                                            |  128 
 R/redcap-dag-read.R                                                                   |  334 -
 R/redcap-delete.R                                                                     |  432 -
 R/redcap-event-instruments.R                                                          |  366 -
 R/redcap-event-read.R                                                                 |  368 -
 R/redcap-file-download-oneshot.R                                                      |  520 -
 R/redcap-file-repo-list.R                                                             |  390 -
 R/redcap-file-upload-oneshot.R                                                        |  400 -
 R/redcap-instrument-download.R                                                        |  464 -
 R/redcap-instruments.R                                                                |  332 -
 R/redcap-log-read.R                                                                   |  446 -
 R/redcap-metadata-coltypes.R                                                          | 1014 +--
 R/redcap-metadata-read.R                                                              |  438 -
 R/redcap-metadata-write.R                                                             |  316 -
 R/redcap-next-free-record-name.R                                                      |  286 
 R/redcap-project-info-read.R                                                          |  604 -
 R/redcap-project.R                                                                    |  266 
 R/redcap-read-eav-oneshot.R                                                           |  708 +-
 R/redcap-read-oneshot-eav.R                                                           |  818 +-
 R/redcap-read-oneshot.R                                                               |  808 +-
 R/redcap-read.R                                                                       | 1232 ++--
 R/redcap-report.R                                                                     |  498 -
 R/redcap-survey-link-export-oneshot.R                                                 |  342 -
 R/redcap-users-export.R                                                               |  450 -
 R/redcap-variables.R                                                                  |  346 -
 R/redcap-version.R                                                                    |  218 
 R/redcap-write-oneshot.R                                                              |  406 -
 R/redcap-write.R                                                                      |  424 -
 R/retrieve-credential.R                                                               |  794 +-
 R/sanitize-token.R                                                                    |  196 
 R/skippers.R                                                                          |   38 
 R/utilities.R                                                                         |  236 
 R/validate.R                                                                          |  830 +-
 README.md                                                                             |  190 
 build/vignette.rds                                                                    |binary
 inst/WORDLIST                                                                         |  316 -
 inst/doc/BasicREDCapROperations.R                                                     |  186 
 inst/doc/BasicREDCapROperations.Rmd                                                   |  344 -
 inst/doc/BasicREDCapROperations.html                                                  | 1043 +--
 inst/doc/SecurityDatabase.Rmd                                                         |  694 +-
 inst/doc/SecurityDatabase.html                                                        | 1437 ++--
 inst/doc/TroubleshootingApiCalls.R                                                    |   38 
 inst/doc/TroubleshootingApiCalls.Rmd                                                  | 1068 +--
 inst/doc/TroubleshootingApiCalls.html                                                 | 2113 +++---
 inst/doc/advanced-redcapr-operations.R                                                |  282 
 inst/doc/advanced-redcapr-operations.Rmd                                              |  540 -
 inst/doc/advanced-redcapr-operations.html                                             | 1191 +--
 inst/doc/longitudinal-and-repeating.R                                                 |  254 
 inst/doc/longitudinal-and-repeating.Rmd                                               |  852 +-
 inst/doc/longitudinal-and-repeating.html                                              | 3079 +++++-----
 inst/doc/workflow-read.R                                                              |  212 
 inst/doc/workflow-read.Rmd                                                            |  866 +-
 inst/doc/workflow-read.html                                                           | 1421 ++--
 inst/doc/workflow-write.R                                                             |   34 
 inst/doc/workflow-write.Rmd                                                           |  838 +-
 inst/doc/workflow-write.html                                                          | 1509 ++--
 inst/misc/bad.credentials                                                             |   16 
 inst/misc/conflicting-rows.credentials                                                |   16 
 inst/misc/coph.credentials                                                            |   76 
 inst/misc/dev-2.credentials                                                           |   76 
 inst/misc/example.credentials                                                         |   76 
 inst/misc/out-of-order.credentials                                                    |   16 
 inst/misc/plugin-redirection.yml                                                      |   46 
 inst/misc/project-redirection.yml                                                     |  206 
 inst/misc/skeleton.credentials                                                        |   38 
 inst/misc/validation-transformation.yml                                               |  280 
 inst/misc/vignette.css                                                                |   72 
 inst/misc/zero-rows.credentials                                                       |   12 
 inst/test-data/project-color-boxes/Readme.md                                          |  106 
 inst/test-data/project-color-boxes/data.csv                                           |    8 
 inst/test-data/project-color-boxes/dictionary.csv                                     |    6 
 inst/test-data/projects/README.md                                                     |   54 
 inst/test-data/projects/arm-multiple-delete/README.md                                 |   14 
 inst/test-data/projects/arm-multiple-delete/arm.csv                                   |    8 
 inst/test-data/projects/arm-multiple-delete/data-old.csv                              |  114 
 inst/test-data/projects/arm-multiple-delete/data.csv                                  |  122 
 inst/test-data/projects/arm-multiple-delete/dictionary.csv                            |    8 
 inst/test-data/projects/arm-multiple-delete/event.csv                                 |    6 
 inst/test-data/projects/arm-single-delete/README.md                                   |   14 
 inst/test-data/projects/arm-single-delete/data-old.csv                                |   34 
 inst/test-data/projects/arm-single-delete/data.csv                                    |   42 
 inst/test-data/projects/arm-single-delete/dictionary.csv                              |    8 
 inst/test-data/projects/arm-single-longitudinal/arm.csv                               |    2 
 inst/test-data/projects/arm-single-longitudinal/data.csv                              |   20 
 inst/test-data/projects/arm-single-longitudinal/dictionary.csv                        |   10 
 inst/test-data/projects/arm-single-longitudinal/event.csv                             |    6 
 inst/test-data/projects/blank-for-gray-status/README.md                               |   48 
 inst/test-data/projects/blank-for-gray-status/data.csv                                |   14 
 inst/test-data/projects/blank-for-gray-status/dictionary.csv                          |   36 
 inst/test-data/projects/checkboxes-1/data.csv                                         |   10 
 inst/test-data/projects/checkboxes-1/dictionary.csv                                   |   10 
 inst/test-data/projects/clinical-trial-1/README.md                                    |   12 
 inst/test-data/projects/dag-write/README.md                                           |   24 
 inst/test-data/projects/dag-write/data.csv                                            |    8 
 inst/test-data/projects/dag-write/dictionary.csv                                      |   32 
 inst/test-data/projects/dag/README.md                                                 |   16 
 inst/test-data/projects/decimal-comma-and-dot/data.csv                                |   10 
 inst/test-data/projects/decimal-comma-and-dot/dictionary.csv                          |   18 
 inst/test-data/projects/decimal-comma-and-dot/metadata.csv                            |   18 
 inst/test-data/projects/decimal-comma-and-dot/redcapr-specific/default-mismatched.R   |   12 
 inst/test-data/projects/decimal-comma/data.csv                                        |   10 
 inst/test-data/projects/decimal-comma/dictionay.csv                                   |   12 
 inst/test-data/projects/decimal-comma/redcapr-specific/default-mismatched.R           |   12 
 inst/test-data/projects/decimal-comma/redcapr-specific/set-locale.R                   |   10 
 inst/test-data/projects/decimal-dot/data.csv                                          |   10 
 inst/test-data/projects/decimal-dot/dictionary.csv                                    |   12 
 inst/test-data/projects/decimal-dot/redcapr-specific/set-locale.R                     |   10 
 inst/test-data/projects/file-repo/README.md                                           |   32 
 inst/test-data/projects/file-repo/data.csv                                            |    6 
 inst/test-data/projects/file-repo/dictionary.csv                                      |   12 
 inst/test-data/projects/longitudinal/arm.csv                                          |    4 
 inst/test-data/projects/longitudinal/data.csv                                         |   38 
 inst/test-data/projects/longitudinal/dictionary.csv                                   |  192 
 inst/test-data/projects/longitudinal/event.csv                                        |   26 
 inst/test-data/projects/longitudinal/expected/default.R                               |  398 -
 inst/test-data/projects/longitudinal/expected/dummy.R                                 |    4 
 inst/test-data/projects/longitudinal/expected/filter-character.R                      |   68 
 inst/test-data/projects/longitudinal/expected/filter-numeric.R                        |   98 
 inst/test-data/projects/longitudinal/expected/so-example-data-frame-retrieval.R       |    4 
 inst/test-data/projects/metadata-write/data.csv                                       |   12 
 inst/test-data/projects/metadata-write/dictionary.csv                                 |   34 
 inst/test-data/projects/repeating-instruments-sparse/data.csv                         |   20 
 inst/test-data/projects/repeating-instruments-sparse/dictionary.csv                   |   24 
 inst/test-data/projects/russian/data.csv                                              |    8 
 inst/test-data/projects/simple-write/README.md                                        |   10 
 inst/test-data/projects/simple/README.md                                              |   64 
 inst/test-data/projects/simple/data.csv                                               |   32 
 inst/test-data/projects/simple/dictionary.csv                                         |   34 
 inst/test-data/projects/simple/metadata.csv                                           |   34 
 inst/test-data/projects/simple/project-old.xml                                        | 1082 +--
 inst/test-data/projects/super-wide-3/README.md                                        |   44 
 inst/test-data/projects/super-wide-3/generate-project.R                               |  212 
 inst/test-data/projects/survey/README.md                                              |   42 
 inst/test-data/projects/survey/expected/default.R                                     |   30 
 inst/test-data/projects/survey/expected/so-example-data-frame-retrieval.R             |    4 
 inst/test-data/projects/validation-types-1/data.csv                                   |    4 
 inst/test-data/projects/validation-types-1/dictionary.csv                             |  102 
 inst/test-data/projects/vignette-repeating/data.csv                                   |   36 
 inst/test-data/projects/vignette-repeating/dictionary.csv                             |   20 
 inst/test-data/specific-redcapr/delete/multiple-arm-four-records.R                    |   70 
 inst/test-data/specific-redcapr/delete/single-arm-four-records.R                      |   14 
 inst/test-data/specific-redcapr/event-instruments/1-arm.R                             |   16 
 inst/test-data/specific-redcapr/event-instruments/2-arms-retrieve-both-arms.R         |   48 
 inst/test-data/specific-redcapr/event-instruments/2-arms-retrieve-only-arm-1.R        |   34 
 inst/test-data/specific-redcapr/event-instruments/2-arms-retrieve-only-arm-2.R        |   28 
 inst/test-data/specific-redcapr/event-instruments/no-arms.R                           |    2 
 inst/test-data/specific-redcapr/file-repo-list-oneshot/bad-folder-id.R                |    2 
 inst/test-data/specific-redcapr/file-repo-list-oneshot/default.R                      |   20 
 inst/test-data/specific-redcapr/file-repo-list-oneshot/first-subdirectory.R           |   14 
 inst/test-data/specific-redcapr/instruments/default.R                                 |   12 
 inst/test-data/specific-redcapr/log-read/2024-10-11.R                                 |   62 
 inst/test-data/specific-redcapr/metadata-coltypes/longitudinal.R                      |  254 
 inst/test-data/specific-redcapr/metadata-coltypes/problematic-dictionary.R            |   18 
 inst/test-data/specific-redcapr/metadata-coltypes/repeating-instruments.R             |   34 
 inst/test-data/specific-redcapr/metadata-coltypes/simple.R                            |   54 
 inst/test-data/specific-redcapr/metadata-coltypes/validation-types.R                  |  108 
 inst/test-data/specific-redcapr/metadata-read/normal-filter-form-all-three.R          |   96 
 inst/test-data/specific-redcapr/metadata-read/normal-filter-form-demographics.R       |   64 
 inst/test-data/specific-redcapr/metadata-read/normal-filter-form-health.R             |   50 
 inst/test-data/specific-redcapr/metadata-read/normal-filter-form-race_and_ethnicity.R |   42 
 inst/test-data/specific-redcapr/metadata-read/normal.R                                |  120 
 inst/test-data/specific-redcapr/metadata-read/super-wide-3-subset.R                   |   96 
 inst/test-data/specific-redcapr/project-info-read/all-test-projects.R                 |  270 
 inst/test-data/specific-redcapr/project-info-read/chicago.R                           |   86 
 inst/test-data/specific-redcapr/project-info-read/simple.R                            |   84 
 inst/test-data/specific-redcapr/read-batch-plumbing/longitudinal.R                    |   72 
 inst/test-data/specific-redcapr/read-batch-plumbing/repeated.R                        |   50 
 inst/test-data/specific-redcapr/read-batch-plumbing/simple.R                          |   14 
 inst/test-data/specific-redcapr/read-batch-repeating-sparse/default.R                 |   28 
 inst/test-data/specific-redcapr/read-batch-simple/blank-for-gray-false.R              |   50 
 inst/test-data/specific-redcapr/read-batch-simple/blank-for-gray-true.R               |   52 
 inst/test-data/specific-redcapr/read-batch-simple/col_types.R                         |   48 
 inst/test-data/specific-redcapr/read-batch-simple/default.R                           |   46 
 inst/test-data/specific-redcapr/read-batch-simple/error-bad-token.R                   |  104 
 inst/test-data/specific-redcapr/read-batch-simple/export_checkbox_label.R             |   62 
 inst/test-data/specific-redcapr/read-batch-simple/filter-character.R                  |   18 
 inst/test-data/specific-redcapr/read-batch-simple/filter-numeric.R                    |   26 
 inst/test-data/specific-redcapr/read-batch-simple/label-and-dag-one-single-batch.R    |   64 
 inst/test-data/specific-redcapr/read-batch-simple/label-and-dag-three-tiny-batches.R  |   64 
 inst/test-data/specific-redcapr/read-batch-simple/label-header.R                      |   54 
 inst/test-data/specific-redcapr/read-batch-simple/label.R                             |   62 
 inst/test-data/specific-redcapr/read-batch-simple/na.R                                |  104 
 inst/test-data/specific-redcapr/read-batch-simple/raw-and-dag.R                       |   48 
 inst/test-data/specific-redcapr/read-batch-simple/raw.R                               |   46 
 inst/test-data/specific-redcapr/read-batch-simple/specify-fields-without-record-id.R  |   12 
 inst/test-data/specific-redcapr/read-batch-simple/specify-fields-zero-length.R        |   46 
 inst/test-data/specific-redcapr/read-batch-simple/specify-fields.R                    |    8 
 inst/test-data/specific-redcapr/read-batch-simple/specify-forms-only-1st.R            |   24 
 inst/test-data/specific-redcapr/read-batch-simple/specify-forms-without-record-id.R   |   18 
 inst/test-data/specific-redcapr/read-batch-simple/specify-forms.R                     |   32 
 inst/test-data/specific-redcapr/read-batch-simple/specify-records-zero-length.R       |   46 
 inst/test-data/specific-redcapr/read-batch-simple/specify-records.R                   |   34 
 inst/test-data/specific-redcapr/read-clinical-trial/default.R                         | 1998 +++---
 inst/test-data/specific-redcapr/read-dag/assigned-to-dag-a.R                          |   22 
 inst/test-data/specific-redcapr/read-dag/no-assignment.R                              |   22 
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 inst/test-data/specific-redcapr/read-eav-oneshot/default.R                            |   90 
 inst/test-data/specific-redcapr/read-eav-oneshot/filter-character.R                   |   22 
 inst/test-data/specific-redcapr/read-eav-oneshot/filter-numeric.R                     |   38 
 inst/test-data/specific-redcapr/read-eav-oneshot/specify-fields-zero-length.R         |   90 
 inst/test-data/specific-redcapr/read-eav-oneshot/specify-fields.R                     |   20 
 inst/test-data/specific-redcapr/read-eav-oneshot/specify-forms.R                      |   66 
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 inst/test-data/specific-redcapr/read-oneshot-eav/default.R                            |   42 
 inst/test-data/specific-redcapr/read-oneshot-eav/filter-character.R                   |   14 
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 inst/test-data/specific-redcapr/read-oneshot/filter-numeric.R                         |   80 
 inst/test-data/specific-redcapr/read-oneshot/force-character-type.R                   |  102 
 inst/test-data/specific-redcapr/read-oneshot/label-and-dag.R                          |  118 
 inst/test-data/specific-redcapr/read-oneshot/label-header.R                           |  106 
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 inst/test-data/specific-redcapr/read-oneshot/na.R                                     |  104 
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 inst/test-data/specific-redcapr/read-oneshot/specify-forms-only-1st.R                 |   48 
 inst/test-data/specific-redcapr/read-oneshot/specify-forms-only-2nd.R                 |   34 
 inst/test-data/specific-redcapr/read-oneshot/specify-forms-without-record-id.R        |   32 
 inst/test-data/specific-redcapr/read-oneshot/specify-forms.R                          |   74 
 inst/test-data/specific-redcapr/read-oneshot/specify-records-zero-length.R            |   46 
 inst/test-data/specific-redcapr/read-oneshot/specify-records.R                        |   34 
 inst/test-data/specific-redcapr/report/col_types.R                                    |   24 
 inst/test-data/specific-redcapr/report/default.R                                      |   26 
 inst/test-data/specific-redcapr/report/export_checkbox_label.R                        |   30 
 inst/test-data/specific-redcapr/report/force-character-type.R                         |   26 
 inst/test-data/specific-redcapr/report/label-header.R                                 |  106 
 inst/test-data/specific-redcapr/report/raw.R                                          |   24 
 inst/test-data/specific-redcapr/test-project/read-insert-and-update.R                 |   40 
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 inst/test-data/specific-redcapr/write-dag/after.R                                     |   16 
 inst/test-data/specific-redcapr/write-dag/before.R                                    |   14 
 inst/test-data/specific-redcapr/write-oneshot/default.R                               |   96 
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 inst/test-data/specific-redcapr/write-oneshot/two-fields.R                            |   92 
 man/REDCapR-package.Rd                                                                |  212 
 man/collapse_vector.Rd                                                                |   60 
 man/constant.Rd                                                                       |  232 
 man/create_batch_glossary.Rd                                                          |  122 
 man/figures/logo.svg                                                                  |  278 
 man/kernel_api.Rd                                                                     |  150 
 man/metadata_utilities.Rd                                                             |  188 
 man/redcap_arm_export.Rd                                                              |  178 
 man/redcap_column_sanitize.Rd                                                         |  112 
 man/redcap_dag_read.Rd                                                                |  168 
 man/redcap_delete.Rd                                                                  |  226 
 man/redcap_event_instruments.Rd                                                       |  204 
 man/redcap_event_read.Rd                                                              |  182 
 man/redcap_file_download_oneshot.Rd                                                   |  290 
 man/redcap_file_repo_list_oneshot.Rd                                                  |  214 
 man/redcap_file_upload_oneshot.Rd                                                     |  264 
 man/redcap_instrument_download.Rd                                                     |  274 
 man/redcap_instruments.Rd                                                             |  172 
 man/redcap_log_read.Rd                                                                |  260 
 man/redcap_metadata_coltypes.Rd                                                       |  346 -
 man/redcap_metadata_read.Rd                                                           |  194 
 man/redcap_metadata_write.Rd                                                          |  200 
 man/redcap_next_free_record_name.Rd                                                   |  170 
 man/redcap_project.Rd                                                                 |  168 
 man/redcap_project_info_read.Rd                                                       |  318 -
 man/redcap_read.Rd                                                                    |  640 +-
 man/redcap_read_eav_oneshot.Rd                                                        |  350 -
 man/redcap_read_oneshot.Rd                                                            |  502 -
 man/redcap_read_oneshot_eav.Rd                                                        |  360 -
 man/redcap_report.Rd                                                                  |  306 
 man/redcap_survey_link_export_oneshot.Rd                                              |  218 
 man/redcap_users_export.Rd                                                            |  154 
 man/redcap_variables.Rd                                                               |  164 
 man/redcap_version.Rd                                                                 |  110 
 man/redcap_write.Rd                                                                   |  290 
 man/redcap_write_oneshot.Rd                                                           |  250 
 man/replace_nas_with_explicit.Rd                                                      |   98 
 man/retrieve_credential.Rd                                                            |  288 
 man/sanitize_token.Rd                                                                 |  146 
 man/to_api_array.Rd                                                                   |   52 
 man/validate.Rd                                                                       |  310 -
 tests/manual/README.md                                                                |    8 
 tests/manual/test-could-not-connect-rate.R                                            |  114 
 tests/manual/test-stress-test-serial.R                                                |  248 
 tests/spelling.R                                                                      |   14 
 tests/test-all.R                                                                      |   32 
 tests/testthat/test-arm-export.R                                                      |  260 
 tests/testthat/test-column-sanitize.R                                                 |   70 
 tests/testthat/test-constant.R                                                        |  196 
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Package metacor updated to version 1.1.2 with previous version 1.1.1 dated 2025-07-22

Title: Meta-Analytic Effect Size Calculation for Pre-Post Designs with Correlation Imputation
Description: Tools for the calculation of effect sizes (standardised mean difference) and mean difference in pre-post controlled studies, including robust imputation of missing variances (standard deviation of changes) and correlations (Pearson correlation coefficient). The main function metacor_dual() implements several methods for imputing missing standard deviation of changes or Pearson correlation coefficient, and generates transparent imputation reports. Designed for meta-analyses with incomplete summary statistics. For more details on the methods, see Higgins et al. (2023) and Fu et al. (2013).
Author: Iker J. Bautista [aut, cre], Saul M. Rodriguez [ctb]
Maintainer: Iker J. Bautista <ikerugr@gmail.com>

Diff between metacor versions 1.1.1 dated 2025-07-22 and 1.1.2 dated 2025-07-28

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Package MatrixCorrelation updated to version 0.10.1 with previous version 0.10.0 dated 2022-04-18

Title: Matrix Correlation Coefficients
Description: Computation and visualization of matrix correlation coefficients. The main method is the Similarity of Matrices Index, while various related measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2, adjusted RV, Rozeboom's linear correlation and Coxhead's coefficient are included for comparison and flexibility.
Author: Kristian Hovde Liland [aut, cre]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package incidentally updated to version 1.0.3 with previous version 1.0.2 dated 2023-02-15

Title: Generates Incidence Matrices and Bipartite Graphs
Description: Functions to generate incidence matrices and bipartite graphs that have (1) a fixed fill rate, (2) given marginal sums, (3) marginal sums that follow given distributions, or (4) represent bill sponsorships in the US Congress <doi:10.31219/osf.io/ectms>. It can also generate an incidence matrix from an adjacency matrix, or bipartite graph from a unipartite graph, via a social process mirroring team, group, or organization formation <doi:10.48550/arXiv.2204.13670>, or examine the space of binary matrices with fixed marginals.
Author: Zachary Neal [aut, cre]
Maintainer: Zachary Neal <zpneal@msu.edu>

Diff between incidentally versions 1.0.2 dated 2023-02-15 and 1.0.3 dated 2025-07-28

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Package ER updated to version 1.1.2 with previous version 1.1.1 dated 2022-10-10

Title: Effect + Residual Modelling
Description: Multivariate modeling of data after deflation of interfering effects. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.
Author: Kristian Hovde Liland [aut, cre], Ellen Faergestad Mosleth [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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New package vfunc with initial version 1.0
Package: vfunc
Title: Manipulate Virtual Functions
Version: 1.0
Depends: R (>= 4.2.0)
Suggests: testthat, knitr, rmarkdown, onion
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: If f <- function(x){x^2} and g <- function(x){x+1} it is a constant source of annoyance that "f+g" is not defined. Package 'vfunc' allows you to do this, and we have (f+g)(2) returning 5. The other arithmetic operators are similarly implemented. A wide class of coding bugs is eliminated.
License: GPL-2
Imports: methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-25 10:18:52 UTC; rhankin
Author: Robin K. S. Hankin [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-28 18:50:02 UTC

More information about vfunc at CRAN
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Package TwoPhaseCorR updated to version 1.1.0 with previous version 1.0.0 dated 2025-07-09

Title: Construct Two-Phase Experimental Designs with Correlated Errors
Description: Tools for constructing and analyzing two-phase experimental designs under correlated error structures. Version 1.1.0 includes improved efficiency factor classification with tolerance control, updated plot visualizations, and improved clarity of the results. The conceptual framework and the term two-phase were introduced by McIntyre (1955) <doi:10.2307/3001770>).
Author: Akhilesh Jha [aut, cre], Cini Varghese [aut], Seema Jaggi [aut], Eldho Varghese [aut], Mohd Harun [aut], Med Ram Verma [aut]
Maintainer: Akhilesh Jha <jha.akhilesh09@gmail.com>

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Package taxa updated to version 0.4.4 with previous version 0.4.3 dated 2024-02-20

Title: Classes for Storing and Manipulating Taxonomic Data
Description: Provides classes for storing and manipulating taxonomic data. Most of the classes can be treated like base R vectors (e.g. can be used in tables as columns and can be named). Vectorized classes can store taxon names and authorities, taxon IDs from databases, taxon ranks, and other types of information. More complex classes are provided to store taxonomic trees and user-defined data associated with them.
Author: Scott Chamberlain [aut] , Zachary Foster [aut, cre]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

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More information about taxa at CRAN
Permanent link

Package sportyR updated to version 2.2.3 with previous version 2.2.2 dated 2024-02-15

Title: Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Description: Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying any type of tracking data.
Author: Ross Drucker [aut, cre]
Maintainer: Ross Drucker <ross.a.drucker@gmail.com>

Diff between sportyR versions 2.2.2 dated 2024-02-15 and 2.2.3 dated 2025-07-28

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More information about sportyR at CRAN
Permanent link

Package RoBMA updated to version 3.5.1 with previous version 3.5.0 dated 2025-06-11

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic, meta-regression, and multilevel models (assuming either presence or absence of the effect, heterogeneity, publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>). Users can define a wide range of prior distributions for the effect size, heterogeneity, publication bias (including selection models and PET-PEESE), and moderator components. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between RoBMA versions 3.5.0 dated 2025-06-11 and 3.5.1 dated 2025-07-28

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New package RMCLab with initial version 0.1.0
Package: RMCLab
Title: Lab for Matrix Completion and Imputation of Discrete Rating Data
Version: 0.1.0
Date: 2025-07-25
Description: Collection of methods for rating matrix completion, which is a statistical framework for recommender systems. Another relevant application is the imputation of rating-scale survey data in the social and behavioral sciences. Note that matrix completion and imputation are synonymous terms used in different streams of the literature. The main functionality implements robust matrix completion for discrete rating-scale data with a low-rank constraint on a latent continuous matrix (Archimbaud, Alfons, and Wilms (2025) <doi:10.48550/arXiv.2412.20802>). In addition, the package provides wrapper functions for 'softImpute' (Mazumder, Hastie, and Tibshirani, 2010, <https://www.jmlr.org/papers/v11/mazumder10a.html>; Hastie, Mazumder, Lee, Zadeh, 2015, <https://www.jmlr.org/papers/v16/hastie15a.html>) for easy tuning of the regularization parameter, as well as benchmark methods such as median imputation and mode imputation.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp, softImpute
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/aalfons/RMCLab
BugReports: https://github.com/aalfons/RMCLab/issues
Author: Andreas Alfons [aut, cre] , Aurore Archimbaud [aut]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
LazyData: true
NeedsCompilation: yes
Packaged: 2025-07-25 18:46:20 UTC; alfons
Repository: CRAN
Date/Publication: 2025-07-28 19:00:09 UTC

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Package RecordLinkage updated to version 0.4-12.5 with previous version 0.4-12.4 dated 2022-11-08

Title: Record Linkage Functions for Linking and Deduplicating Data Sets
Description: Provides functions for linking and deduplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. For details, see our paper "The RecordLinkage Package: Detecting Errors in Data" Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.
Author: Murat Sariyar [aut, cre], Andreas Borg [aut]
Maintainer: Murat Sariyar <murat.sariyar@bfh.ch>

Diff between RecordLinkage versions 0.4-12.4 dated 2022-11-08 and 0.4-12.5 dated 2025-07-28

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Package R2OpenBUGS updated to version 3.2-4 with previous version 3.2-3.2.1 dated 2020-04-02

Title: Running OpenBUGS from R
Description: Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R.
Author: Andrew Gelman [aut], Sibylle Sturtz [aut], Uwe Ligges [cre, aut], Gregor Gorjanc [ctb], Jouni Kerman [ctb], Neal Thomas [aut]
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

Diff between R2OpenBUGS versions 3.2-3.2.1 dated 2020-04-02 and 3.2-4 dated 2025-07-28

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New package mrIML with initial version 2.1.0
Package: mrIML
Title: Multi-Response (Multivariate) Interpretable Machine Learning
Version: 2.1.0
Description: Builds and interprets multi-response machine learning models using 'tidymodels' syntax. Users can supply a tidy model, and 'mrIML' automates the process of fitting multiple response models to multivariate data and applying interpretable machine learning techniques across them. For more details see Fountain-Jones (2021) <doi:10.1111/1755-0998.13495> and Fountain-Jones et al. (2024) <doi:10.22541/au.172676147.77148600/v1>.
Depends: R (>= 3.5.0)
Imports: dplyr, magrittr, rlang, ggplot2, patchwork, purrr, recipes, rsample, tibble, tidyr, tidyselect, tune, workflows, yardstick, flashlight, future.apply, MetricsWeighted, finetune, hstats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ape, vegan, hardhat, ggrepel, themis, MRFcov, lme4, randomForest, ggnetwork, igraph, tidymodels, tidyverse, parsnip, gridExtra, future, generics, missForest, kernelshap, shapviz
License: MIT + file LICENSE
LazyData: true
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/nickfountainjones/mrIML
BugReports: https://github.com/nickfountainjones/mrIML/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-25 06:50:25 UTC; ryanleadbetter
Author: Nick Fountain-Jones [aut, cre, cph] , Ryan Leadbetter [aut] , Gustavo Machado [aut] , Chris Kozakiewicz [aut], Nick Clark [aut]
Maintainer: Nick Fountain-Jones <nick.fountainjones@utas.edu.au>
Repository: CRAN
Date/Publication: 2025-07-28 18:40:02 UTC

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New package mesonet with initial version 0.0.1
Package: mesonet
Title: Download and Process Oklahoma Mesonet Data
Version: 0.0.1
Date: 2025-07-24
Maintainer: Phillip D. Alderman <phillip.alderman@okstate.edu>
Description: A collection of functions to download and process weather data from the Oklahoma Mesonet <https://mesonet.org>. Functions are available for downloading station metadata, downloading Mesonet time series (MTS) files, importing MTS files into R, and converting soil temperature change measurements into soil matric potential and volumetric soil moisture.
License: GPL-2
Encoding: UTF-8
Suggests: tinytest
Imports: methods, stats, units
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-07-25 17:46:54 UTC; palderman
Author: Phillip D. Alderman [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-28 19:00:02 UTC

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New package marginme with initial version 0.1.0
Package: marginme
Title: Estimation of Relative Risks, Risk Differences, and Marginal Effects from Mixed Models Using Marginal Standardization
Version: 0.1.0
Author: Sam Watson [aut, cre]
Description: Functionality to estimate relative risks, risk differences, and partial effects from mixed model. Marginalisation over random effect terms is accomplished using Markov Chain Monte Carlo.
Imports: methods, glmmrBase (>= 1.0.2)
Suggests: glmmTMB (>= 1.1.10)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/samuel-watson/marginme
BugReports: https://github.com/samuel-watson/marginme/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-07-25 16:32:41 UTC; WatsonSI
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-28 18:50:07 UTC

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New package mantis with initial version 0.4.2
Package: mantis
Title: Multiple Time Series Scanner
Version: 0.4.2
Description: Generate interactive html reports that enable quick visual review of multiple related time series stored in a data frame. For static datasets, this can help to identify any temporal artefacts that may affect the validity of subsequent analyses. For live data feeds, regularly scheduled reports can help to pro-actively identify data feed problems or unexpected trends that may require action. The reports are self-contained and shareable without a web server.
URL: https://github.com/phuongquan/mantis, https://phuongquan.github.io/mantis/
BugReports: https://github.com/phuongquan/mantis/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: rmarkdown, knitr, reactable, dplyr (>= 1.1.1), tidyr, dygraphs, xts, ggplot2, scales, purrr, htmltools
Suggests: covr, testthat (>= 3.0.0), vdiffr, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-25 08:59:46 UTC; phuongq
Author: T. Phuong Quan [aut, cre] , University of Oxford [cph], National Institute for Health Research [fnd]
Maintainer: T. Phuong Quan <phuong.quan@ndm.ox.ac.uk>
Repository: CRAN
Date/Publication: 2025-07-28 18:40:07 UTC

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Package latticeDensity readmission to version 1.2.7 with previous version 1.2.6 dated 2021-04-18

Title: Density Estimation and Nonparametric Regression on Irregular Regions
Description: Functions that compute the lattice-based density and regression estimators for two-dimensional regions with irregular boundaries and holes. The density estimation technique is described in Barry and McIntyre (2011) <doi:10.1016/j.ecolmodel.2011.02.016>, while the non-parametric regression technique is described in McIntyre and Barry (2018) <doi:10.1080/10618600.2017.1375935>.
Author: Ronald Barry [aut, cre]
Maintainer: Ronald Barry <rpbarry@alaska.edu>

This is a re-admission after prior archival of version 1.2.6 dated 2021-04-18

Diff between latticeDensity versions 1.2.6 dated 2021-04-18 and 1.2.7 dated 2025-07-28

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Package invertiforms updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-25

Title: Invertible Transforms for Matrices
Description: Provides composable invertible transforms for (sparse) matrices.
Author: Alex Hayes [aut, cre, cph]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between invertiforms versions 0.1.1 dated 2022-11-25 and 0.1.2 dated 2025-07-28

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New package ggplayfair with initial version 0.1.1
Package: ggplayfair
Title: Geoms for Playfair-Style Charts
Version: 0.1.1
Description: Currently provides geom_balance_of_trade(), a 'ggplot2' layer that fills the area between exports and imports series (with automatic crossing detection and conditional coloring for surplus vs. deficit), and overlays lines and points by default.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2 (>= 3.4.0)
Suggests: testthat (>= 3.0.0), roxygen2 (>= 7.1.0),
URL: https://github.com/DerekStevens99/ggplayfair
BugReports: https://github.com/DerekStevens99/ggplayfair/issues
Maintainer: Derek Stevens <derekburgandy@gmail.com>
NeedsCompilation: no
Packaged: 2025-07-24 23:43:32 UTC; derek
Author: Derek Stevens [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-28 18:30:02 UTC

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New package ggcorrheatmap with initial version 0.1.2
Package: ggcorrheatmap
Title: Make Flexible 'ggplot2' Correlation Heatmaps
Version: 0.1.2
Description: Create correlation heatmaps with 'ggplot2' and customise them with flexible annotation and clustering. Symmetric heatmaps can use triangular or mixed layouts, removing redundant information or displaying complementary information in the two halves. There is also support for general heatmaps not displaying correlations.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/leod123/ggcorrheatmap, https://leod123.github.io/ggcorrheatmap/
BugReports: https://github.com/leod123/ggcorrheatmap/issues
Imports: ggplot2, scales, dplyr, dendextend, ggnewscale, stats, rlang (>= 1.1.0), cli
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2025-07-25 15:36:56 UTC; leodahl
Author: Leo Dahl [aut, cre, cph]
Maintainer: Leo Dahl <leokosdah@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-28 18:50:12 UTC

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Package ernm updated to version 1.0.2 with previous version 1.0.1 dated 2025-07-22

Title: Exponential-Family Random Network Models
Description: Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.
Author: Ian Fellows [aut], Duncan Clark [aut, cre]
Maintainer: Duncan Clark <dac6@williams.edu>

Diff between ernm versions 1.0.1 dated 2025-07-22 and 1.0.2 dated 2025-07-28

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New package CrossExpression with initial version 1.0.0
Package: CrossExpression
Title: Cross-Expression Analysis of Spatial Transcriptomics Data
Version: 1.0.0
Description: Analyzes spatial transcriptomic data using cells-by-genes and cell location matrices to find gene pairs that coordinate their expression between spatially adjacent cells. It enables quantitative analysis and graphical assessment of these cross-expression patterns. See Sarwar et al. (2025) <doi:10.1101/2024.09.17.613579> and <https://github.com/gillislab/CrossExpression/> for more details.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rfast, RANN, Matrix, ggplot2, dplyr, stats, stringr
NeedsCompilation: no
Packaged: 2025-07-25 23:42:31 UTC; AmeerSarwar
Author: Ameer Sarwar [aut, cre], Sarah Choi [ctb], Leon French [ctb], Jesse Gillis [aut]
Maintainer: Ameer Sarwar <dogar.ameer@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-07-28 19:10:13 UTC

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Package codemetar updated to version 0.3.6 with previous version 0.3.5 dated 2022-09-02

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] , Anna Krystalli [rev, ctb] , Toph Allen [rev] , Maelle Salmon [ctb, aut] , rOpenSci [fnd] , Katrin Leinweber [ctb] , Noam Ross [ctb] , Arfon Smith [ctb], Jeroen Ooms [ctb] , Sebastian Meyer [ctb] , Michael Rustler [ctb [...truncated...]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between codemetar versions 0.3.5 dated 2022-09-02 and 0.3.6 dated 2025-07-28

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Package bulkreadr updated to version 1.2.1 with previous version 1.2.0 dated 2025-04-28

Title: The Ultimate Tool for Reading Data in Bulk
Description: Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata.
Author: Ezekiel Ogundepo [aut, cre] , Ernest Fokoue [ctb] , Golibe Ezeechesi [ctb], Fatimo Adebanjo [ctb], Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>

Diff between bulkreadr versions 1.2.0 dated 2025-04-28 and 1.2.1 dated 2025-07-28

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Package BoneDensityMapping updated to version 0.1.2 with previous version 0.1.1 dated 2025-07-25

Title: Maps Bone Densities from CT Scans to Surface Models
Description: Allows local bone density estimates to be derived from CT data and mapped to 3D bone models in a reproducible manner. Processing can be performed at the individual bone or group level. Also includes tools for visualizing the bone density estimates. Example methods are described in Telfer et al., (2021) <doi:10.1002/jor.24792>, Telfer et al., (2021) <doi:10.1016/j.jse.2021.05.011>.
Author: Scott Telfer [aut, cre, cph] , Lucas Lacambra [aut]
Maintainer: Scott Telfer <scott.telfer@gmail.com>

Diff between BoneDensityMapping versions 0.1.1 dated 2025-07-25 and 0.1.2 dated 2025-07-28

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New package BayesianLasso with initial version 0.3.5
Package: BayesianLasso
Title: Bayesian Lasso Regression and Tools for the Lasso Distribution
Version: 0.3.5
Date: 2025-07-21
Maintainer: Mohammad Javad Davoudabadi <mohammad.davoudabadi@sydney.edu.au>
Description: Implements Bayesian Lasso regression using efficient Gibbs sampling algorithms, including modified versions of the Hans and Park–Casella (PC) samplers. Includes functions for working with the Lasso distribution, such as its density, cumulative distribution, quantile, and random generation functions, along with moment calculations. Also includes a function to compute the Mills ratio. Designed for sparse linear models and suitable for high-dimensional regression problems.
License: GPL-3
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp, RcppNumerical, RcppArmadillo, RcppEigen, RcppClock
Encoding: UTF-8
URL: https://garthtarr.github.io/BayesianLasso/, https://github.com/garthtarr/BayesianLasso
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, monomvn, bayeslm, rstan, bayesreg, lars, Ecdat, testthat (>= 3.0.0), MASS
BugReports: https://github.com/garthtarr/BayesianLasso/issues
NeedsCompilation: yes
Packaged: 2025-07-25 04:25:11 UTC; mjava
Author: John Ormerod [aut, cph] , Mohammad Javad Davoudabadi [aut, cre, cph] , Garth Tarr [aut, cph] , Samuel Mueller [aut, cph] , Jonathon Tidswell [aut, cph]
Repository: CRAN
Date/Publication: 2025-07-28 18:30:07 UTC

More information about BayesianLasso at CRAN
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Package ARUtools readmission to version 0.7.3 with previous version 0.7.2 dated 2025-03-19

Title: Management and Processing of Autonomous Recording Unit (ARU) Data
Description: Parse Autonomous Recording Unit (ARU) data and for sub-sampling recordings. Extract Metadata from your recordings, select a subset of recordings for interpretation, and prepare files for processing on the 'WildTrax' <https://wildtrax.ca/> platform. Read and process metadata from recordings collected using the SongMeter and BAR-LT types of ARUs.
Author: David Hope [aut, cre] , Steffi LaZerte [aut] , Government of Canada [cph, fnd]
Maintainer: David Hope <david.hope@ec.gc.ca>

This is a re-admission after prior archival of version 0.7.2 dated 2025-03-19

Diff between ARUtools versions 0.7.2 dated 2025-03-19 and 0.7.3 dated 2025-07-28

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Package arcgisgeocode updated to version 0.3.0 with previous version 0.2.3 dated 2025-04-11

Title: A Robust Interface to ArcGIS 'Geocoding Services'
Description: A very fast and robust interface to ArcGIS 'Geocoding Services'. Provides capabilities for reverse geocoding, finding address candidates, character-by-character search autosuggestion, and batch geocoding. The public 'ArcGIS World Geocoder' is accessible for free use via 'arcgisgeocode' for all services except batch geocoding. 'arcgisgeocode' also integrates with 'arcgisutils' to provide access to custom locators or private 'ArcGIS World Geocoder' hosted on 'ArcGIS Enterprise'. Learn more in the 'Geocode service' API reference <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisgeocode versions 0.2.3 dated 2025-04-11 and 0.3.0 dated 2025-07-28

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New package AgeBandDecomposition with initial version 1.0.1
Package: AgeBandDecomposition
Title: Age Band Decomposition Method for Tree Ring Standardization
Version: 1.0.1
Description: Implements the Age Band Decomposition (ABD) method for standardizing tree ring width data while preserving both low and high frequency variability. Unlike traditional detrending approaches that can distort long term growth trends, ABD decomposes ring width series into multiple age classes, detrends each class separately, and then recombines them to create standardized chronologies. This approach improves the detection of growth signals linked to past climatic and environmental factors, making it particularly valuable for dendroecological and dendroclimatological studies. The package provides functions to perform ABD-based standardization, compare results with other common methods (e.g., BAI, C method, RCS), and facilitate the interpretation of growth patterns under current and future climate variability.
URL: https://gitlab.com/Puletti/agebanddecomposition_rpackage
Language: en-US
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, tibble, readxl, ggplot2, patchwork
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-07-25 05:42:47 UTC; nicolapuletti
Author: Nicola Puletti [aut, cre] , Gianluigi Mazza [aut]
Maintainer: Nicola Puletti <nicola.puletti@crea.gov.it>
Repository: CRAN
Date/Publication: 2025-07-28 18:30:12 UTC

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Package ruler updated to version 0.3.1 with previous version 0.3.0 dated 2023-03-28

Title: Tidy Data Validation Reports
Description: Tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using 'dplyr' grammar of data manipulation.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

Diff between ruler versions 0.3.0 dated 2023-03-28 and 0.3.1 dated 2025-07-28

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Package riskscores updated to version 1.2.3 with previous version 1.2.1 dated 2025-05-30

Title: Optimized Integer Risk Score Models
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
Author: Hannah Eglinton [aut, cre], Seehanah Tang [aut, aut], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] , Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , Simon Davies [ctb] ), Thomas Lumley [ctb] )
Maintainer: Hannah Eglinton <eglintonh@gmail.com>

Diff between riskscores versions 1.2.1 dated 2025-05-30 and 1.2.3 dated 2025-07-28

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Package REDCapTidieR updated to version 1.2.4 with previous version 1.2.3 dated 2025-06-06

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <hannar1@chop.edu>

Diff between REDCapTidieR versions 1.2.3 dated 2025-06-06 and 1.2.4 dated 2025-07-28

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Package xegaGaGene updated to version 1.0.0.4 with previous version 1.0.0.2 dated 2025-04-16

Title: Binary Gene Operations for Genetic Algorithms
Description: Representation-dependent gene level operations of a genetic algorithm with binary coded genes: Initialization of random binary genes, several gene maps for binary genes, several mutation operators, several crossover operators with 1 and 2 kids, replication pipelines for 1 and 2 kids, and, last but not least, function factories for configuration. See Goldberg, D. E. (1989, ISBN:0-201-15767-5). For crossover operators, see Syswerda, G. (1989, ISBN:1-55860-066-3), Spears, W. and De Jong, K. (1991, ISBN:1-55860-208-9). For mutation operators, see Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7).
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package RTLknitr updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-25

Title: Right to Left Dynamic Documents Using 'knitr'
Description: Provide seamless support for right-to-left (RTL) languages, such as Persian and Arabic, in R Markdown documents and 'LaTeX' output. It includes functions and hooks that enable easy integration of RTL language content, allowing users to create documents that adhere to RTL writing conventions. For in-depth insights into dynamic documents and the 'knitr' package, consider referring to Xie, Y (2014) <ISBN: 978-1-482-20353-0>.
Author: Foad Esmaeili [aut, cre, cph]
Maintainer: Foad Esmaeili <foadesmaeili5@gmail.com>

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Package qtl2ggplot updated to version 1.2.6 with previous version 1.2.4 dated 2024-03-15

Title: Data Visualization for QTL Experiments
Description: Functions to plot QTL (quantitative trait loci) analysis results and related diagnostics. Part of 'qtl2', an upgrade of the 'qtl' package to better handle high-dimensional data and complex cross designs.
Author: Brian S Yandell [aut, cre], Karl W Broman [aut]
Maintainer: Brian S Yandell <brian.yandell@wisc.edu>

Diff between qtl2ggplot versions 1.2.4 dated 2024-03-15 and 1.2.6 dated 2025-07-28

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Package circumplex updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-28

Title: Analysis and Visualization of Circular Data
Description: Circumplex models, which organize constructs in a circle around two underlying dimensions, are popular for studying interpersonal functioning, mood/affect, and vocational preferences/environments. This package provides tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results.
Author: Jeffrey Girard [aut, cre] , Johannes Zimmermann [aut] , Aidan Wright [aut]
Maintainer: Jeffrey Girard <me@jmgirard.com>

Diff between circumplex versions 1.0.0 dated 2024-10-28 and 1.0.1 dated 2025-07-28

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 circumplex-1.0.1/circumplex/man/iipsc.Rd                                                        |    1 
 circumplex-1.0.1/circumplex/man/iis32.Rd                                                        |    1 
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Package warbleR updated to version 1.1.36 with previous version 1.1.35 dated 2025-07-17

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for exploring and quantifying acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals (Araya-Salas et al 2016 <doi:10.1111/2041-210X.12624>).
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package rnaturalearth updated to version 1.1.0 with previous version 1.0.1 dated 2023-12-15

Title: World Map Data from Natural Earth
Description: Facilitates mapping by making natural earth map data from <https://www.naturalearthdata.com/> more easily available to R users.
Author: Philippe Massicotte [aut, cre] , Andy South [aut], Koen Hufkens [ctb]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

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Package RCPA updated to version 0.2.7 with previous version 0.2.6 dated 2025-04-30

Title: Consensus Pathway Analysis
Description: Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.
Author: Ha Nguyen [aut, cre], Phi Bya [aut], Zeynab Maghsoudi [aut], Tin Nguyen [fnd]
Maintainer: Ha Nguyen <hvn0006@auburn.edu>

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Package Qtools updated to version 1.6.0 with previous version 1.5.9 dated 2023-10-28

Title: Utilities for Quantiles
Description: Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, restricted quantile regression, directional quantile classification, and quantile ratio regression. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Author: Marco Geraci [aut, cph, cre] , Alessio Farcomeni [ctb] , Cinzia Viroli [ctb]
Maintainer: Marco Geraci <marco.geraci@uniroma1.it>

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Package OPSR updated to version 1.0.1 with previous version 1.0.0 dated 2025-07-07

Title: Ordered Probit Switching Regression
Description: Estimates ordered probit switching regression models - a Heckman type selection model with an ordinal selection and continuous outcomes. Different model specifications are allowed for each treatment/regime. For more details on the method, see Wang & Mokhtarian (2024) <doi:10.1016/j.tra.2024.104072> or Chiburis & Lokshin (2007) <doi:10.1177/1536867X0700700202>.
Author: Daniel Heimgartner [aut, cre, cph] , Xinyi Wang [aut]
Maintainer: Daniel Heimgartner <d.heimgartners@gmail.com>

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Package maraca updated to version 1.0.1 with previous version 1.0.0 dated 2025-06-08

Title: The Maraca Plot: Visualizing Hierarchical Composite Endpoints
Description: Supports visual interpretation of hierarchical composite endpoints (HCEs). HCEs are complex constructs used as primary endpoints in clinical trials, combining outcomes of different types into ordinal endpoints, in which each patient contributes the most clinically important event (one and only one) to the analysis. See Karpefors M et al. (2022) <doi:10.1177/17407745221134949>.
Author: Martin Karpefors [aut] , Samvel B. Gasparyan [aut] , Stefano Borini [ctb], Monika Huhn [aut, cre]
Maintainer: Monika Huhn <monika.huhn@astrazeneca.com>

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Package EML updated to version 2.0.7 with previous version 2.0.6.1 dated 2022-04-28

Title: Read and Write Ecological Metadata Language Files
Description: Work with Ecological Metadata Language ('EML') files. 'EML' is a widely used metadata standard in the ecological and environmental sciences, described in Jones et al. (2006), <doi:10.1146/annurev.ecolsys.37.091305.110031>.
Author: Carl Boettiger [aut, cre, cph] , Matthew B. Jones [aut] , Mitchell Maier [ctb] , Bryce Mecum [ctb] , Maelle Salmon [ctb] , Jeanette Clark [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package broom updated to version 1.0.9 with previous version 1.0.8 dated 2025-03-28

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut] , Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd] , Indrajeet Patil [ctb] , Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], B [...truncated...]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package zoomr updated to version 0.4.0 with previous version 0.3.0 dated 2024-02-23

Title: Connect to Your 'Zoom' Data
Description: Facilitates making a connection to the 'Zoom' API and executing various queries. You can use it to get data on 'Zoom' webinars and 'Zoom' meetings. The 'Zoom' documentation is available at <https://developers.zoom.us/docs/api/>. This package is not supported by 'Zoom' (owner of the software).
Author: Chris Umphlett [aut, cre], Paul Schmidt [ctb]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

Diff between zoomr versions 0.3.0 dated 2024-02-23 and 0.4.0 dated 2025-07-28

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Permanent link

Package rcarbon updated to version 1.5.2 with previous version 1.5.1 dated 2023-08-24

Title: Calibration and Analysis of Radiocarbon Dates
Description: Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Author: Andrew Bevan [aut] , Enrico Crema [aut, cre] , R. Kyle Bocinsky [ctb], Martin Hinz [ctb], Philip Riris [ctb], Fabio Silva [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

Diff between rcarbon versions 1.5.1 dated 2023-08-24 and 1.5.2 dated 2025-07-28

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Package TapeS updated to version 0.14.1 with previous version 0.13.4 dated 2025-07-23

Title: Tree Taper Curves and Sorting Based on 'TapeR'
Description: Providing new german-wide 'TapeR' Models and functions for their evaluation. Included are the most common tree species in Germany (Norway spruce, Scots pine, European larch, Douglas fir, Silver fir as well as European beech, Common/Sessile oak and Red oak). Many other species are mapped to them so that 36 tree species / groups can be processed. Single trees are defined by species code, one or multiple diameters in arbitrary measuring height and tree height. The functions then provide information on diameters along the stem, bark thickness, height of diameters, volume of the total or parts of the trunk and total and component above-ground biomass. It is also possible to calculate assortments from the taper curves. Uncertainty information is provided for diameter, volume and component biomass estimation.
Author: Christian Vonderach [aut, cre], Edgar Kublin [aut], Gerald Kaendler [aut]
Maintainer: Christian Vonderach <christian.vonderach@forst.bwl.de>

Diff between TapeS versions 0.13.4 dated 2025-07-23 and 0.14.1 dated 2025-07-28

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Package tablaxlsx updated to version 1.2.6 with previous version 1.2.5 dated 2023-05-04

Title: Write Formatted Tables in Excel Workbooks
Description: For writing tables with custom formats in a Excel file ready to be distributed.
Author: Jesus Maria Rodriguez Rodriguez [aut], Jesus Maria Rodriguez Rodriguez [cre]
Maintainer: Jesus Maria Rodriguez Rodriguez <jesusmro@gmail.com>

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Package semtree updated to version 0.9.22 with previous version 0.9.20 dated 2024-04-08

Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups each sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees. A description of the method was published by Brandmaier, von Oertzen, McArdle, & Lindenberger (2013) <doi:10.1037/a0030001> and Arnold, Voelkle, & Brandmaier (2020) <doi:10.3389/fpsyg.2020.564403>.
Author: Andreas M. Brandmaier [aut, cre], John J. Prindle [aut], Manuel Arnold [aut], Caspar J. Van Lissa [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>

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Package quarto updated to version 1.5.0 with previous version 1.4.4 dated 2024-07-20

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut] , Christophe Dervieux [cre, aut] , Posit Software, PBC [cph, fnd], Gordon Woodhull [ctb]
Maintainer: Christophe Dervieux <cderv@posit.co>

Diff between quarto versions 1.4.4 dated 2024-07-20 and 1.5.0 dated 2025-07-28

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Package nlmm updated to version 1.1.1 with previous version 1.1.0 dated 2023-11-24

Title: Generalized Laplace Mixed-Effects Models
Description: Provides functions to fit linear mixed models based on convolutions of the generalized Laplace (GL) distribution. The GL mixed-effects model includes four special cases with normal random effects and normal errors (NN), normal random effects and Laplace errors (NL), Laplace random effects and normal errors (LN), and Laplace random effects and Laplace errors (LL). The methods are described in Geraci and Farcomeni (2020, Statistical Methods in Medical Research) <doi:10.1177/0962280220903763>.
Author: Marco Geraci [aut, cph, cre] , Alessio Farcomeni [ctb]
Maintainer: Marco Geraci <marco.geraci@uniroma1.it>

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Package mrgsim.parallel updated to version 0.3.0 with previous version 0.2.1 dated 2022-03-17

Title: Simulate with 'mrgsolve' in Parallel
Description: Simulation from an 'mrgsolve' <https://cran.r-project.org/package=mrgsolve> model using a parallel backend. Input data sets are split (chunked) and simulated in parallel using mclapply() or future_lapply() <https://cran.r-project.org/package=future.apply>.
Author: Kyle Baron [aut, cre]
Maintainer: Kyle Baron <kylebtwin@imap.cc>

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Package hicp updated to version 1.0.0 with previous version 0.6.1 dated 2024-07-23

Title: Harmonised Index of Consumer Prices
Description: The Harmonised Index of Consumer Prices (HICP) is the key economic figure to measure inflation in the euro area. The methodology underlying the HICP is documented in the HICP Methodological Manual (<https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/w/ks-gq-24-003>). Based on the manual, this package provides functions to access and work with HICP data from Eurostat's public database (<https://ec.europa.eu/eurostat/data/database>).
Author: Sebastian Weinand [aut, cre]
Maintainer: Sebastian Weinand <sebastian.weinand@ec.europa.eu>

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Package DecomposeR updated to version 1.0.7 with previous version 1.0.6 dated 2023-02-02

Title: Empirical Mode Decomposition for Cyclostratigraphy
Description: Tools to apply Ensemble Empirical Mode Decomposition (EEMD) for cyclostratigraphy purposes. Mainly: a new algorithm, extricate, that performs EEMD in seconds, a linear interpolation algorithm using the greatest rational common divisor of depth or time, different algorithms to compute instantaneous amplitude, frequency and ratios of frequencies, and functions to verify and visualise the outputs. The functions were developed during the CRASH project (Checking the Reproducibility of Astrochronology in the Hauterivian). When using for publication please cite Wouters, S., Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2022, "A decomposition approach to cyclostratigraphic signal processing". Earth-Science Reviews 225 (103894). <doi:10.1016/j.earscirev.2021.103894>.
Author: Sebastien Wouters [aut, cre]
Maintainer: Sebastien Wouters <wouterseb@gmail.com>

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Package eqtesting readmission to version 0.1.1 with previous version 0.1.0 dated 2025-06-19

Title: Equivalence Testing Functions
Description: Contains several functions for equivalence testing and practical significance testing. First, the tsti() command provides an automatic computation of three-sided testing results for a given estimate, standard error, and region of practical equivalence. For details, see Goeman, Solari, & Stijnen (2010) <doi:10.1002/sim.4002> and Isager & Fitzgerald (2024) <doi:10.31234/osf.io/8y925>. Second, the lddtest() command performs logarithmic density discontinuity equivalence testing for regression discontinuity designs. For reference, see Fitzgerald (2025) <doi:10.31222/osf.io/2dgrp_v1>.
Author: Jack Fitzgerald [aut, cre], Peder Isager [ctb]
Maintainer: Jack Fitzgerald <j.f.fitzgerald@vu.nl>

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Package chromer updated to version 0.10 with previous version 0.8 dated 2024-03-27

Title: Interface to Chromosome Counts Database API
Description: A programmatic interface to the Chromosome Counts Database (<https://ccdb.tau.ac.il/>), Rice et al. (2014) <doi:10.1111/nph.13191>. This package is part of the 'ROpenSci' suite (<https://ropensci.org>).
Author: Matthew Pennell [aut] , Paula Andrea Martinez [aut] , Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

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Package berryFunctions updated to version 1.22.13 with previous version 1.22.5 dated 2024-02-16

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Author: Berry Boessenkool [aut, cre]
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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Package bartXViz updated to version 1.0.8 with previous version 1.0.6 dated 2025-07-18

Title: Visualization of BART and BARP using SHAP
Description: Complex machine learning models are often difficult to interpret. Shapley values serve as a powerful tool to understand and explain why a model makes a particular prediction. This package computes variable contributions using permutation-based Shapley values for Bayesian Additive Regression Trees (BART) and its extension with Post-Stratification (BARP). The permutation-based SHAP method proposed by Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> is grounded in data obtained via MCMC sampling. Similar to the BART model introduced by Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>, this package leverages Bayesian posterior samples generated during model estimation, allowing variable contributions to be computed without requiring additional sampling. The BART model is designed to work with the following R packages: 'BART' <doi:10.18637/jss.v097.i01>, 'bartMachine' <doi:10.18637/jss.v070.i04>, and 'dbarts' <https://CRAN.R-project.org/ [...truncated...]
Author: Dong-eun Lee [aut, cre], Eun-Kyung Lee [aut]
Maintainer: Dong-eun Lee <ldongeun.leel@gmail.com>

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Package spduration updated to version 0.17.3 with previous version 0.17.2 dated 2024-02-08

Title: Split-Population Duration (Cure) Regression
Description: An implementation of split-population duration regression models. Unlike regular duration models, split-population duration models are mixture models that accommodate the presence of a sub-population that is not at risk for failure, e.g. cancer patients who have been cured by treatment. This package implements Weibull and Loglogistic forms for the duration component, and focuses on data with time-varying covariates. These models were originally formulated in Boag (1949) and Berkson and Gage (1952), and extended in Schmidt and Witte (1989).
Author: Andreas Beger [aut, cre] , Daina Chiba [aut] , Daniel W. Hill, Jr. [aut], Nils W. Metternich [aut] , Shahryar Minhas [aut], Michael D. Ward [aut, cph]
Maintainer: Andreas Beger <adbeger@gmail.com>

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Package NetRep updated to version 1.2.8 with previous version 1.2.7 dated 2023-08-19

Title: Permutation Testing Network Module Preservation Across Datasets
Description: Functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing; Ritchie et al. (2015) <doi: 10.1016/j.cels.2016.06.012>.
Author: Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>

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Package adabag updated to version 5.1 with previous version 5.0 dated 2023-05-31

Title: Applies Multiclass AdaBoost.M1, SAMME and Bagging
Description: It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation estimation of the error can be done. Since version 2.0 the function margins() is available to calculate the margins for these classifiers. Also a higher flexibility is achieved giving access to the rpart.control() argument of 'rpart'. Four important new features were introduced on version 3.0, AdaBoost-SAMME (Zhu et al., 2009) is implemented and a new function errorevol() shows the error of the ensembles as a function of the number of iterations. In addition, the ensembles can be pruned using the option 'newmfinal' in the predict.bagging() and predict.boosting() functions and the posterior probability of each class for observations can be obtained. Version 3.1 modifies the relative importance measure to take into account the gain of the Gin [...truncated...]
Author: Esteban Alfaro [aut, cre], Matias Gamez [aut], Noelia Garcia [aut], L. Guo [ctb], A. Albano [ctb], M. Sciandra [ctb], A. Plai [ctb]
Maintainer: Esteban Alfaro <Esteban.Alfaro@uclm.es>

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Package ssfa updated to version 1.2.3 with previous version 1.2.2 dated 2023-08-28

Title: Spatial Stochastic Frontier Analysis
Description: Spatial Stochastic Frontier Analysis (SSFA) is an original method for controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA) models, for cross-sectional data, by splitting the inefficiency term into three terms: the first one related to spatial peculiarities of the territory in which each single unit operates, the second one related to the specific production features and the third one representing the error term.
Author: Elisa Fusco [aut, cre], Francesco Vidoli [aut]
Maintainer: Elisa Fusco <fusco_elisa@libero.it>

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Package PHENTHAUproc updated to version 1.1.1 with previous version 1.1 dated 2024-06-12

Title: Phenology Modelling of Thaumetopoea Processionea
Description: Methods to calculate and present 'PHENTHAUproc', an early warning and decision support system for hazard assessment and control of oak processionary moth (OPM) using local and spatial temperature data. It was created by Halbig et al. 2024 (<doi:10.1016/j.foreco.2023.121525>) at FVA (<https://www.fva-bw.de/en/homepage/>) Forest Research Institute Baden-Wuerttemberg, Germany and at BOKU - University of Natural Ressources and Life Sciences, Vienna, Austria.
Author: Lorenz Bachfischer [aut, cre], Department of Forest Protection, FVA [fnd]
Maintainer: Lorenz Bachfischer <lorenz.bachfischer@posteo.de>

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Package export updated to version 0.3.1 with previous version 0.3.0 dated 2022-12-07

Title: Streamlined Export of Graphs and Data Tables
Description: Easily export 'R' graphs and statistical output to 'Microsoft Office' / 'LibreOffice', 'Latex' and 'HTML' Documents, using sensible defaults that result in publication-quality output with simple, straightforward commands. Output to 'Microsoft Office' is in editable 'DrawingML' vector format for graphs, and can use corporate template documents for styling. This enables the production of standardized reports and also allows for manual tidy-up of the layout of 'R' graphs in 'Powerpoint' before final publication. Export of graphs is flexible, and functions enable the currently showing R graph or the currently showing 'R' stats object to be exported, but also allow the graphical or tabular output to be passed as objects. The package relies on package 'officer' for export to 'Office' documents,and output files are also fully compatible with 'LibreOffice'. Base 'R', 'ggplot2' and 'lattice' plots are supported, as well as a wide variety of 'R' stats objects, via wrappers to xtable(), broom::ti [...truncated...]
Author: Tom Wenseleers [aut, cre], Christophe Vanderaa [aut]
Maintainer: Tom Wenseleers <tom.wenseleers@kuleuven.be>

Diff between export versions 0.3.0 dated 2022-12-07 and 0.3.1 dated 2025-07-28

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Package ctypesio updated to version 0.1.3 with previous version 0.1.2 dated 2025-01-18

Title: Read and Write Standard 'C' Types from Files, Connections and Raw Vectors
Description: Interacting with binary files can be difficult because R's types are a subset of what is generally supported by 'C'. This package provides a suite of functions for reading and writing binary data (with files, connections, and raw vectors) using 'C' type descriptions. These functions convert data between 'C' types and R types while checking for values outside the type limits, 'NA' values, etc.
Author: Mike Cheng [aut, cre, cph], Anne Fu [ctb]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

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Package FuzzySimRes updated to version 0.4.7 with previous version 0.4.5 dated 2025-05-30

Title: Simulation and Resampling Methods for Epistemic Fuzzy Data
Description: Random simulations of fuzzy numbers are still a challenging problem. The aim of this package is to provide the respective procedures to simulate fuzzy random variables, especially in the case of the piecewise linear fuzzy numbers (PLFNs, see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for the further details). Additionally, the special resampling algorithms known as the epistemic bootstrap are provided (see Grzegorzewski and Romaniuk (2022) <doi:10.34768/amcs-2022-0021>, Grzegorzewski and Romaniuk (2022) <doi:10.1007/978-3-031-08974-9_39>, Romaniuk et al. (2024) <doi:10.32614/RJ-2024-016>) together with the functions to apply statistical tests and estimate various characteristics based on the epistemic bootstrap. The package also includes real-life datasets of epistemic fuzzy triangular and trapezoidal numbers. The fuzzy numbers used in this package are consistent with the 'FuzzyNumbers' package.
Author: Maciej Romaniuk [cre, aut] , Przemyslaw Grzegorzewski [aut] , Abbas Parchami [aut] , Luis Carvalho [ctb, cph]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

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Package extremeStat updated to version 1.5.11 with previous version 1.5.9 dated 2024-01-13

Title: Extreme Value Statistics and Quantile Estimation
Description: Fit, plot and compare several (extreme value) distribution functions. Compute (truncated) distribution quantile estimates and plot return periods on a linear scale. On the fitting method, see Asquith (2011): Distributional Analysis with L-moment Statistics [...] ISBN 1463508417.
Author: Berry Boessenkool [aut, cre]
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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Package mlms (with last version 1.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-11-21 1.0.2

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Package fluxfinder (with last version 1.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-06-21 1.1.0

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Package inldata (with last version 1.2.7) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-09-12 1.2.7

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Package RECA updated to version 1.7.1 with previous version 1.7 dated 2019-05-17

Title: Relevant Component Analysis for Supervised Distance Metric Learning
Description: Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>

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Package ipw updated to version 1.2.1.1 with previous version 1.2.1 dated 2023-12-11

Title: Estimate Inverse Probability Weights
Description: Functions to estimate the probability to receive the observed treatment, based on individual characteristics. The inverse of these probabilities can be used as weights when estimating causal effects from observational data via marginal structural models. Both point treatment situations and longitudinal studies can be analysed. The same functions can be used to correct for informative censoring.
Author: Willem M. van der Wal [aut, cre], Ronald B. Geskus [aut]
Maintainer: Willem M. van der Wal <willem@vanderwalresearch.com>

Diff between ipw versions 1.2.1 dated 2023-12-11 and 1.2.1.1 dated 2025-07-28

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