Wed, 19 Jun 2019

Package taxotools updated to version 0.0.30 with previous version 0.0.29 dated 2019-05-13

Title: Tools to Handle Taxonomic Lists
Description: Some tools to work with taxonomic name lists.
Author: Vijay Barve [aut, cre] (<https://orcid.org/0000-0002-4852-2567>)
Maintainer: Vijay Barve <vijay.barve@gmail.com>

Diff between taxotools versions 0.0.29 dated 2019-05-13 and 0.0.30 dated 2019-06-19

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More information about taxotools at CRAN
Permanent link

New package SemNetDictionaries with initial version 0.1.2
Package: SemNetDictionaries
Title: Dictionaries for the 'SemNetCleaner' Package
Version: 0.1.2
Date: 2019-06-19
Author: Alexander P. Christensen
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>
Description: Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Depends: R (>= 3.5.0)
License: GPL (>= 3.0)
URL: https://github.com/AlexChristensen/SemNetDictionaries
BugReports: https://github.com/AlexChristensen/SemNetDictionaries/issues
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Imports: tcltk
RoxygenNote: 6.1.1
Packaged: 2019-06-19 17:24:31 UTC; APCHRIST
Repository: CRAN
Date/Publication: 2019-06-19 22:15:19 UTC

More information about SemNetDictionaries at CRAN
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New package lobstr with initial version 1.1.0
Package: lobstr
Title: Visualize R Data Structures with Trees
Version: 1.1.0
Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")), person("RStudio", role = "cph") )
Description: A set of tools for inspecting and understanding R data structures inspired by str(). Includes ast() for visualizing abstract syntax trees, ref() for showing shared references, cst() for showing call stack trees, and obj_size() for computing object sizes.
License: GPL-3
URL: https://github.com/r-lib/lobstr
BugReports: https://github.com/r-lib/lobstr/issues
Depends: R (>= 3.2)
Imports: crayon, Rcpp, rlang (>= 0.3.0)
Suggests: covr, pillar, pkgdown, testthat
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-06-19 20:40:32 UTC; hadley
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Repository: CRAN
Date/Publication: 2019-06-19 22:00:23 UTC

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Package fgeo updated to version 1.1.4 with previous version 1.1.3 dated 2019-05-24

Title: Analyze Forest Diversity and Dynamics
Description: To help you access, transform, analyze, and visualize ForestGEO data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to install and load the entire package-collection with a single R command, and provides convenient ways to find relevant documentation. Most commonly, you should not worry about the individual packages that make up the package-collection as you can access all features via this package. To learn more about ForestGEO visit <http://www.forestgeo.si.edu/>.
Author: Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>), Gabriel Arellano [aut, rev], Richard Condit [aut], Stuart Davies [aut, rev], Matteo Detto [aut], Erika Gonzalez-Akre [aut, rev] (<https://orcid.org/0000-0001-8305-6672>), Pamela Hall [aut], Kyle Harms [aut], Valentine Herrmann [aut, rev] (<https://orcid.org/0000-0002-4519-481X>), Aaron Hogan [rev] (<https://orcid.org/0000-0001-9806-3074>), Bier Kraichak [rev], David Kenfack [aut, rev], Lauren Krizel [rev], Suzanne Lao [aut, rev], Sean McMahon [aut, rev], Haley Overstreet [rev], Sabrina Russo [aut, rev], Cara Scalpone [rev] (<https://orcid.org/0000-0001-8448-2147>), Kristina Anderson-Teixeira [aut, rev], Graham Zemunik [aut, rev], Daniel Zuleta [aut, rev], CTFS-ForestGEO [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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More information about fgeo at CRAN
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Package DynNom updated to version 5.0 with previous version 4.1.1 dated 2017-04-19

Title: Visualising Statistical Models using Dynamic Nomograms
Description: Demonstrate the results of a statistical model object as a dynamic nomogram in an RStudio panel or web browser. The package provides two generics functions: DynNom, which display statistical model objects as a dynamic nomogram; DNbuilder, which builds required scripts to publish a dynamic nomogram on a web server such as the <https://www.shinyapps.io/>. Current version of 'DynNom' supports stats::lm, stats::glm, survival::coxph, rms::ols, rms::Glm, rms::lrm, rms::cph, mgcv::gam and gam::gam model objects.
Author: Amirhossein Jalali, Davood Roshan, Alberto Alvarez-Iglesias, John Newell
Maintainer: Amirhossein Jalali <amir.jalali@ucd.ie>

Diff between DynNom versions 4.1.1 dated 2017-04-19 and 5.0 dated 2019-06-19

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More information about DynNom at CRAN
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Package civis updated to version 2.0.0 with previous version 1.6.1 dated 2019-02-12

Title: R Client for the 'Civis data science API'
Description: A convenient interface for making requests directly to the 'Civis data science API' <https://www.civisanalytics.com/platform/>.
Author: Patrick Miller [cre, aut], Keith Ingersoll [aut], Bill Lattner [ctb], Anh Le [ctb], Michelangelo D'Agostino [ctb], Sam Weiss [ctb], Stephen Hoover [ctb], Danning Chen [ctb], Elizabeth Sander [ctb], Madison Hobbs [ctb], Anna Bladey [ctb]
Maintainer: Patrick Miller <pmiller@civisanalytics.com>

Diff between civis versions 1.6.1 dated 2019-02-12 and 2.0.0 dated 2019-06-19

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 civis-2.0.0/civis/man/credentials_put_shares_groups.Rd                         |    6 
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 civis-2.0.0/civis/man/databases_get.Rd                                         |only
 civis-2.0.0/civis/man/databases_list.Rd                                        |    1 
 civis-2.0.0/civis/man/databases_post_schemas_scan.Rd                           |only
 civis-2.0.0/civis/man/download_civis.Rd                                        |    2 
 civis-2.0.0/civis/man/enhancements_delete_cass_ncoa_projects.Rd                |    4 
 civis-2.0.0/civis/man/enhancements_delete_cass_ncoa_shares_groups.Rd           |    4 
 civis-2.0.0/civis/man/enhancements_delete_cass_ncoa_shares_users.Rd            |    4 
 civis-2.0.0/civis/man/enhancements_delete_geocode_projects.Rd                  |only
 civis-2.0.0/civis/man/enhancements_delete_geocode_runs.Rd                      |only
 civis-2.0.0/civis/man/enhancements_delete_geocode_shares_groups.Rd             |only
 civis-2.0.0/civis/man/enhancements_delete_geocode_shares_users.Rd              |only
 civis-2.0.0/civis/man/enhancements_get_cass_ncoa.Rd                            |    2 
 civis-2.0.0/civis/man/enhancements_get_civis_data_match.Rd                     |    6 
 civis-2.0.0/civis/man/enhancements_get_data_unification.Rd                     |    9 
 civis-2.0.0/civis/man/enhancements_get_geocode.Rd                              |only
 civis-2.0.0/civis/man/enhancements_get_geocode_runs.Rd                         |only
 civis-2.0.0/civis/man/enhancements_get_table_deduplication.Rd                  |    4 
 civis-2.0.0/civis/man/enhancements_list_cass_ncoa_projects.Rd                  |    4 
 civis-2.0.0/civis/man/enhancements_list_cass_ncoa_shares.Rd                    |    2 
 civis-2.0.0/civis/man/enhancements_list_geocode_projects.Rd                    |only
 civis-2.0.0/civis/man/enhancements_list_geocode_runs.Rd                        |only
 civis-2.0.0/civis/man/enhancements_list_geocode_runs_logs.Rd                   |only
 civis-2.0.0/civis/man/enhancements_list_geocode_runs_outputs.Rd                |only
 civis-2.0.0/civis/man/enhancements_list_geocode_shares.Rd                      |only
 civis-2.0.0/civis/man/enhancements_patch_cass_ncoa.Rd                          |    4 
 civis-2.0.0/civis/man/enhancements_patch_civis_data_match.Rd                   |   19 
 civis-2.0.0/civis/man/enhancements_patch_data_unification.Rd                   |   26 
 civis-2.0.0/civis/man/enhancements_patch_geocode.Rd                            |only
 civis-2.0.0/civis/man/enhancements_patch_table_deduplication.Rd                |   13 
 civis-2.0.0/civis/man/enhancements_post_cass_ncoa.Rd                           |    4 
 civis-2.0.0/civis/man/enhancements_post_civis_data_match.Rd                    |   19 
 civis-2.0.0/civis/man/enhancements_post_data_unification.Rd                    |   26 
 civis-2.0.0/civis/man/enhancements_post_geocode.Rd                             |only
 civis-2.0.0/civis/man/enhancements_post_geocode_cancel.Rd                      |only
 civis-2.0.0/civis/man/enhancements_post_geocode_runs.Rd                        |only
 civis-2.0.0/civis/man/enhancements_post_table_deduplication.Rd                 |   14 
 civis-2.0.0/civis/man/enhancements_put_cass_ncoa.Rd                            |    4 
 civis-2.0.0/civis/man/enhancements_put_cass_ncoa_archive.Rd                    |    2 
 civis-2.0.0/civis/man/enhancements_put_cass_ncoa_projects.Rd                   |    4 
 civis-2.0.0/civis/man/enhancements_put_cass_ncoa_shares_groups.Rd              |    6 
 civis-2.0.0/civis/man/enhancements_put_cass_ncoa_shares_users.Rd               |    6 
 civis-2.0.0/civis/man/enhancements_put_civis_data_match.Rd                     |   19 
 civis-2.0.0/civis/man/enhancements_put_data_unification.Rd                     |   26 
 civis-2.0.0/civis/man/enhancements_put_geocode.Rd                              |only
 civis-2.0.0/civis/man/enhancements_put_geocode_archive.Rd                      |only
 civis-2.0.0/civis/man/enhancements_put_geocode_projects.Rd                     |only
 civis-2.0.0/civis/man/enhancements_put_geocode_shares_groups.Rd                |only
 civis-2.0.0/civis/man/enhancements_put_geocode_shares_users.Rd                 |only
 civis-2.0.0/civis/man/enhancements_put_table_deduplication.Rd                  |   14 
 civis-2.0.0/civis/man/fetch_and_generate_client.Rd                             |    2 
 civis-2.0.0/civis/man/fetch_output_file_ids.Rd                                 |only
 civis-2.0.0/civis/man/fetch_until.Rd                                           |    2 
 civis-2.0.0/civis/man/files_delete_projects.Rd                                 |    4 
 civis-2.0.0/civis/man/files_delete_shares_groups.Rd                            |    4 
 civis-2.0.0/civis/man/files_delete_shares_users.Rd                             |    4 
 civis-2.0.0/civis/man/files_list_projects.Rd                                   |    4 
 civis-2.0.0/civis/man/files_list_shares.Rd                                     |    2 
 civis-2.0.0/civis/man/files_put_projects.Rd                                    |    4 
 civis-2.0.0/civis/man/files_put_shares_groups.Rd                               |    6 
 civis-2.0.0/civis/man/files_put_shares_users.Rd                                |    6 
 civis-2.0.0/civis/man/get_script_fun.Rd                                        |only
 civis-2.0.0/civis/man/groups_list.Rd                                           |    2 
 civis-2.0.0/civis/man/imports_delete_files_csv.Rd                              |only
 civis-2.0.0/civis/man/imports_delete_projects.Rd                               |    4 
 civis-2.0.0/civis/man/imports_delete_shares_groups.Rd                          |    4 
 civis-2.0.0/civis/man/imports_delete_shares_users.Rd                           |    4 
 civis-2.0.0/civis/man/imports_get_files_csv.Rd                                 |only
 civis-2.0.0/civis/man/imports_list.Rd                                          |    6 
 civis-2.0.0/civis/man/imports_list_projects.Rd                                 |    4 
 civis-2.0.0/civis/man/imports_list_shares.Rd                                   |    2 
 civis-2.0.0/civis/man/imports_patch_files_csv.Rd                               |only
 civis-2.0.0/civis/man/imports_post_batches.Rd                                  |    4 
 civis-2.0.0/civis/man/imports_post_files.Rd                                    |    4 
 civis-2.0.0/civis/man/imports_post_files_csv.Rd                                |only
 civis-2.0.0/civis/man/imports_post_syncs.Rd                                    |    2 
 civis-2.0.0/civis/man/imports_put_files_csv.Rd                                 |only
 civis-2.0.0/civis/man/imports_put_files_csv_archive.Rd                         |only
 civis-2.0.0/civis/man/imports_put_projects.Rd                                  |    4 
 civis-2.0.0/civis/man/imports_put_shares_groups.Rd                             |    6 
 civis-2.0.0/civis/man/imports_put_shares_users.Rd                              |    6 
 civis-2.0.0/civis/man/imports_put_syncs.Rd                                     |    2 
 civis-2.0.0/civis/man/imports_put_syncs_archive.Rd                             |    1 
 civis-2.0.0/civis/man/jobs_delete_projects.Rd                                  |    4 
 civis-2.0.0/civis/man/jobs_delete_shares_groups.Rd                             |    4 
 civis-2.0.0/civis/man/jobs_delete_shares_users.Rd                              |    4 
 civis-2.0.0/civis/man/jobs_list_projects.Rd                                    |    4 
 civis-2.0.0/civis/man/jobs_list_runs.Rd                                        |only
 civis-2.0.0/civis/man/jobs_list_runs_logs.Rd                                   |only
 civis-2.0.0/civis/man/jobs_list_shares.Rd                                      |    2 
 civis-2.0.0/civis/man/jobs_put_projects.Rd                                     |    4 
 civis-2.0.0/civis/man/jobs_put_shares_groups.Rd                                |    6 
 civis-2.0.0/civis/man/jobs_put_shares_users.Rd                                 |    6 
 civis-2.0.0/civis/man/json_values_delete_shares_groups.Rd                      |only
 civis-2.0.0/civis/man/json_values_delete_shares_users.Rd                       |only
 civis-2.0.0/civis/man/json_values_get.Rd                                       |only
 civis-2.0.0/civis/man/json_values_list_shares.Rd                               |only
 civis-2.0.0/civis/man/json_values_patch.Rd                                     |only
 civis-2.0.0/civis/man/json_values_post.Rd                                      |only
 civis-2.0.0/civis/man/json_values_put_shares_groups.Rd                         |only
 civis-2.0.0/civis/man/json_values_put_shares_users.Rd                          |only
 civis-2.0.0/civis/man/match_targets_get.Rd                                     |    1 
 civis-2.0.0/civis/man/match_targets_list.Rd                                    |    1 
 civis-2.0.0/civis/man/match_targets_patch.Rd                                   |    5 
 civis-2.0.0/civis/man/match_targets_post.Rd                                    |   11 
 civis-2.0.0/civis/man/media_delete_optimizations_shares_groups.Rd              |    4 
 civis-2.0.0/civis/man/media_delete_optimizations_shares_users.Rd               |    4 
 civis-2.0.0/civis/man/media_delete_ratecards_shares_groups.Rd                  |    4 
 civis-2.0.0/civis/man/media_delete_ratecards_shares_users.Rd                   |    4 
 civis-2.0.0/civis/man/media_delete_spot_orders_shares_groups.Rd                |    4 
 civis-2.0.0/civis/man/media_delete_spot_orders_shares_users.Rd                 |    4 
 civis-2.0.0/civis/man/media_list_optimizations_shares.Rd                       |    2 
 civis-2.0.0/civis/man/media_list_ratecards_shares.Rd                           |    2 
 civis-2.0.0/civis/man/media_list_spot_orders_shares.Rd                         |    2 
 civis-2.0.0/civis/man/media_put_optimizations_shares_groups.Rd                 |    6 
 civis-2.0.0/civis/man/media_put_optimizations_shares_users.Rd                  |    6 
 civis-2.0.0/civis/man/media_put_ratecards_shares_groups.Rd                     |    6 
 civis-2.0.0/civis/man/media_put_ratecards_shares_users.Rd                      |    6 
 civis-2.0.0/civis/man/media_put_spot_orders_shares_groups.Rd                   |    6 
 civis-2.0.0/civis/man/media_put_spot_orders_shares_users.Rd                    |    6 
 civis-2.0.0/civis/man/models_delete_projects.Rd                                |    4 
 civis-2.0.0/civis/man/models_delete_shares_groups.Rd                           |    4 
 civis-2.0.0/civis/man/models_delete_shares_users.Rd                            |    4 
 civis-2.0.0/civis/man/models_list_projects.Rd                                  |    4 
 civis-2.0.0/civis/man/models_list_shares.Rd                                    |    2 
 civis-2.0.0/civis/man/models_put_projects.Rd                                   |    4 
 civis-2.0.0/civis/man/models_put_shares_groups.Rd                              |    6 
 civis-2.0.0/civis/man/models_put_shares_users.Rd                               |    6 
 civis-2.0.0/civis/man/notebooks_delete_projects.Rd                             |    4 
 civis-2.0.0/civis/man/notebooks_delete_shares_groups.Rd                        |    4 
 civis-2.0.0/civis/man/notebooks_delete_shares_users.Rd                         |    4 
 civis-2.0.0/civis/man/notebooks_list_deployments_logs.Rd                       |    4 
 civis-2.0.0/civis/man/notebooks_list_git.Rd                                    |    4 
 civis-2.0.0/civis/man/notebooks_list_git_commits.Rd                            |    4 
 civis-2.0.0/civis/man/notebooks_list_projects.Rd                               |    4 
 civis-2.0.0/civis/man/notebooks_list_shares.Rd                                 |    2 
 civis-2.0.0/civis/man/notebooks_put_git.Rd                                     |    4 
 civis-2.0.0/civis/man/notebooks_put_projects.Rd                                |    4 
 civis-2.0.0/civis/man/notebooks_put_shares_groups.Rd                           |    6 
 civis-2.0.0/civis/man/notebooks_put_shares_users.Rd                            |    6 
 civis-2.0.0/civis/man/projects_delete_shares_groups.Rd                         |    4 
 civis-2.0.0/civis/man/projects_delete_shares_users.Rd                          |    4 
 civis-2.0.0/civis/man/projects_list_shares.Rd                                  |    2 
 civis-2.0.0/civis/man/projects_put_shares_groups.Rd                            |    6 
 civis-2.0.0/civis/man/projects_put_shares_users.Rd                             |    6 
 civis-2.0.0/civis/man/read_civis.Rd                                            |   37 
 civis-2.0.0/civis/man/refresh_table.Rd                                         |    2 
 civis-2.0.0/civis/man/remote_hosts_list.Rd                                     |    4 
 civis-2.0.0/civis/man/remote_hosts_post.Rd                                     |    4 
 civis-2.0.0/civis/man/reports_delete_projects.Rd                               |    4 
 civis-2.0.0/civis/man/reports_delete_services_projects.Rd                      |only
 civis-2.0.0/civis/man/reports_delete_services_shares_groups.Rd                 |    4 
 civis-2.0.0/civis/man/reports_delete_services_shares_users.Rd                  |    4 
 civis-2.0.0/civis/man/reports_delete_shares_groups.Rd                          |    4 
 civis-2.0.0/civis/man/reports_delete_shares_users.Rd                           |    4 
 civis-2.0.0/civis/man/reports_list_git.Rd                                      |    4 
 civis-2.0.0/civis/man/reports_list_git_commits.Rd                              |    4 
 civis-2.0.0/civis/man/reports_list_projects.Rd                                 |    4 
 civis-2.0.0/civis/man/reports_list_services_projects.Rd                        |only
 civis-2.0.0/civis/man/reports_list_services_shares.Rd                          |    2 
 civis-2.0.0/civis/man/reports_list_shares.Rd                                   |    2 
 civis-2.0.0/civis/man/reports_put_git.Rd                                       |    4 
 civis-2.0.0/civis/man/reports_put_projects.Rd                                  |    4 
 civis-2.0.0/civis/man/reports_put_services_projects.Rd                         |only
 civis-2.0.0/civis/man/reports_put_services_shares_groups.Rd                    |    6 
 civis-2.0.0/civis/man/reports_put_services_shares_users.Rd                     |    6 
 civis-2.0.0/civis/man/reports_put_shares_groups.Rd                             |    6 
 civis-2.0.0/civis/man/reports_put_shares_users.Rd                              |    6 
 civis-2.0.0/civis/man/results_delete_projects.Rd                               |    4 
 civis-2.0.0/civis/man/results_delete_services_projects.Rd                      |only
 civis-2.0.0/civis/man/results_delete_services_shares_groups.Rd                 |    4 
 civis-2.0.0/civis/man/results_delete_services_shares_users.Rd                  |    4 
 civis-2.0.0/civis/man/results_delete_shares_groups.Rd                          |    4 
 civis-2.0.0/civis/man/results_delete_shares_users.Rd                           |    4 
 civis-2.0.0/civis/man/results_list_git.Rd                                      |    4 
 civis-2.0.0/civis/man/results_list_git_commits.Rd                              |    4 
 civis-2.0.0/civis/man/results_list_projects.Rd                                 |    4 
 civis-2.0.0/civis/man/results_list_services_projects.Rd                        |only
 civis-2.0.0/civis/man/results_list_services_shares.Rd                          |    2 
 civis-2.0.0/civis/man/results_list_shares.Rd                                   |    2 
 civis-2.0.0/civis/man/results_put_git.Rd                                       |    4 
 civis-2.0.0/civis/man/results_put_projects.Rd                                  |    4 
 civis-2.0.0/civis/man/results_put_services_projects.Rd                         |only
 civis-2.0.0/civis/man/results_put_services_shares_groups.Rd                    |    6 
 civis-2.0.0/civis/man/results_put_services_shares_users.Rd                     |    6 
 civis-2.0.0/civis/man/results_put_shares_groups.Rd                             |    6 
 civis-2.0.0/civis/man/results_put_shares_users.Rd                              |    6 
 civis-2.0.0/civis/man/run_civis.Rd                                             |only
 civis-2.0.0/civis/man/run_template.Rd                                          |only
 civis-2.0.0/civis/man/scripts_delete_containers_projects.Rd                    |    4 
 civis-2.0.0/civis/man/scripts_delete_containers_shares_groups.Rd               |    4 
 civis-2.0.0/civis/man/scripts_delete_containers_shares_users.Rd                |    4 
 civis-2.0.0/civis/man/scripts_delete_custom_projects.Rd                        |    4 
 civis-2.0.0/civis/man/scripts_delete_custom_shares_groups.Rd                   |    4 
 civis-2.0.0/civis/man/scripts_delete_custom_shares_users.Rd                    |    4 
 civis-2.0.0/civis/man/scripts_delete_javascript_projects.Rd                    |    4 
 civis-2.0.0/civis/man/scripts_delete_javascript_shares_groups.Rd               |    4 
 civis-2.0.0/civis/man/scripts_delete_javascript_shares_users.Rd                |    4 
 civis-2.0.0/civis/man/scripts_delete_python3_projects.Rd                       |    4 
 civis-2.0.0/civis/man/scripts_delete_python3_shares_groups.Rd                  |    4 
 civis-2.0.0/civis/man/scripts_delete_python3_shares_users.Rd                   |    4 
 civis-2.0.0/civis/man/scripts_delete_r_projects.Rd                             |    4 
 civis-2.0.0/civis/man/scripts_delete_r_shares_groups.Rd                        |    4 
 civis-2.0.0/civis/man/scripts_delete_r_shares_users.Rd                         |    4 
 civis-2.0.0/civis/man/scripts_delete_sql_projects.Rd                           |    4 
 civis-2.0.0/civis/man/scripts_delete_sql_shares_groups.Rd                      |    4 
 civis-2.0.0/civis/man/scripts_delete_sql_shares_users.Rd                       |    4 
 civis-2.0.0/civis/man/scripts_get.Rd                                           |    2 
 civis-2.0.0/civis/man/scripts_get_containers.Rd                                |    6 
 civis-2.0.0/civis/man/scripts_get_custom.Rd                                    |    2 
 civis-2.0.0/civis/man/scripts_get_javascript.Rd                                |    2 
 civis-2.0.0/civis/man/scripts_get_python3.Rd                                   |    3 
 civis-2.0.0/civis/man/scripts_get_r.Rd                                         |    3 
 civis-2.0.0/civis/man/scripts_get_sql.Rd                                       |    2 
 civis-2.0.0/civis/man/scripts_list_containers_projects.Rd                      |    4 
 civis-2.0.0/civis/man/scripts_list_containers_shares.Rd                        |    2 
 civis-2.0.0/civis/man/scripts_list_custom_projects.Rd                          |    4 
 civis-2.0.0/civis/man/scripts_list_custom_shares.Rd                            |    2 
 civis-2.0.0/civis/man/scripts_list_javascript_git.Rd                           |    4 
 civis-2.0.0/civis/man/scripts_list_javascript_git_commits.Rd                   |    4 
 civis-2.0.0/civis/man/scripts_list_javascript_projects.Rd                      |    4 
 civis-2.0.0/civis/man/scripts_list_javascript_shares.Rd                        |    2 
 civis-2.0.0/civis/man/scripts_list_python3_git.Rd                              |    4 
 civis-2.0.0/civis/man/scripts_list_python3_git_commits.Rd                      |    4 
 civis-2.0.0/civis/man/scripts_list_python3_projects.Rd                         |    4 
 civis-2.0.0/civis/man/scripts_list_python3_shares.Rd                           |    2 
 civis-2.0.0/civis/man/scripts_list_r_git.Rd                                    |    4 
 civis-2.0.0/civis/man/scripts_list_r_git_commits.Rd                            |    4 
 civis-2.0.0/civis/man/scripts_list_r_projects.Rd                               |    4 
 civis-2.0.0/civis/man/scripts_list_r_shares.Rd                                 |    2 
 civis-2.0.0/civis/man/scripts_list_sql_git.Rd                                  |    4 
 civis-2.0.0/civis/man/scripts_list_sql_git_commits.Rd                          |    4 
 civis-2.0.0/civis/man/scripts_list_sql_projects.Rd                             |    4 
 civis-2.0.0/civis/man/scripts_list_sql_shares.Rd                               |    2 
 civis-2.0.0/civis/man/scripts_patch.Rd                                         |    4 
 civis-2.0.0/civis/man/scripts_patch_containers.Rd                              |   12 
 civis-2.0.0/civis/man/scripts_patch_custom.Rd                                  |    2 
 civis-2.0.0/civis/man/scripts_patch_javascript.Rd                              |    4 
 civis-2.0.0/civis/man/scripts_patch_python3.Rd                                 |    9 
 civis-2.0.0/civis/man/scripts_patch_r.Rd                                       |    9 
 civis-2.0.0/civis/man/scripts_patch_sql.Rd                                     |    4 
 civis-2.0.0/civis/man/scripts_post.Rd                                          |    4 
 civis-2.0.0/civis/man/scripts_post_containers.Rd                               |   26 
 civis-2.0.0/civis/man/scripts_post_containers_clone.Rd                         |    6 
 civis-2.0.0/civis/man/scripts_post_containers_runs_logs.Rd                     |    2 
 civis-2.0.0/civis/man/scripts_post_custom.Rd                                   |    2 
 civis-2.0.0/civis/man/scripts_post_custom_clone.Rd                             |    2 
 civis-2.0.0/civis/man/scripts_post_javascript.Rd                               |    4 
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Package plinkQC updated to version 0.2.2 with previous version 0.2.1 dated 2019-03-01

Title: Genotype Quality Control with 'PLINK'
Description: Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study.
Author: Hannah Meyer [aut, cre] (<https://orcid.org/0000-0003-4564-0899>)
Maintainer: Hannah Meyer <hannah.v.meyer@gmail.com>

Diff between plinkQC versions 0.2.1 dated 2019-03-01 and 0.2.2 dated 2019-06-19

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Package see updated to version 0.2.0 with previous version 0.1.0 dated 2019-05-24

Title: Visualisation Toolbox for 'easystats' and Extra Geoms, Themes and Color Palettes for 'ggplot2'
Description: Provides plotting utilities supporting easystats-packages (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://www.materialui.co/colors>.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, inv] (<https://orcid.org/0000-0001-5375-9967>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package spc updated to version 0.6.1 with previous version 0.6.0 dated 2018-04-12

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

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Package ordinalClust updated to version 1.3.3 with previous version 1.3.1 dated 2018-08-06

Title: Ordinal Data Clustering, Co-Clustering and Classification
Description: Ordinal data classification, clustering and co-clustering using model-based approach with the Bos distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) <doi:10.1007/s11222-015-9585-2>).
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse@gmail.com>

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Package CoRpower updated to version 1.0.2 with previous version 1.0.1 dated 2019-04-25

Title: Power Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials
Description: Calculates power for assessment of intermediate biomarker responses as correlates of risk in the active treatment group in clinical efficacy trials, as described in Gilbert, Janes, and Huang, Power/Sample Size Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials (2016, Statistics in Medicine). The methods differ from past approaches by accounting for the level of clinical treatment efficacy overall and in biomarker response subgroups, which enables the correlates of risk results to be interpreted in terms of potential correlates of efficacy/protection. The methods also account for inter-individual variability of the observed biomarker response that is not biologically relevant (e.g., due to technical measurement error of the laboratory assay used to measure the biomarker response), which is important because power to detect a specified correlate of risk effect size is heavily affected by the biomarker's measurement error. The methods can be used for a general binary clinical endpoint model with a univariate dichotomous, trichotomous, or continuous biomarker response measured in active treatment recipients at a fixed timepoint after randomization, with either case-cohort Bernoulli sampling or case-control without-replacement sampling of the biomarker (a baseline biomarker is handled as a trivial special case). In a specified two-group trial design, the computeN() function can initially be used for calculating additional requisite design parameters pertaining to the target population of active treatment recipients observed to be at risk at the biomarker sampling timepoint. Subsequently, the power calculation employs an inverse probability weighted logistic regression model fitted by the tps() function in the 'osDesign' package. Power results as well as the relationship between the correlate of risk effect size and treatment efficacy can be visualized using various plotting functions. To link power calculations for detecting a correlate of risk and a correlate of treatment efficacy, a baseline immunogenicity predictor (BIP) can be simulated according to a specified classification rule (for dichotomous or trichotomous BIPs) or correlation with the biomarker response (for continuous BIPs), then outputted along with biomarker response data under assignment to treatment, and clinical endpoint data for both treatment and placebo groups.
Author: Stephanie Wu [aut], Michal Juraska [aut, cre], Peter Gilbert [aut], Yunda Huang [aut]
Maintainer: Michal Juraska <mjuraska@fredhutch.org>

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Package tidyqwi updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-06

Title: A Convenient API for Accessing United States Census Bureau's Quarterly Workforce Indicator
Description: The purpose of this package is to access the United States Census Bureau's Quarterly Workforce Indicator data. Additionally, the data will be retrieved in a tidy format for further manipulation with full variable descriptions added if desired. Information about the United States Census Bureau's Quarterly Workforce Indicator is available at <https://www.census.gov/data/developers/data-sets/qwi.html>.
Author: Michael DeWitt [aut, cre] (<https://orcid.org/0000-0001-8940-1967>), Mona Ahmadiani [aut] (<https://orcid.org/0000-0002-1269-5685>), Adam S. Hyde [aut] (<https://orcid.org/0000-0003-1205-0032>)
Maintainer: Michael DeWitt <me.dewitt.jr@gmail.com>

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Package rspa updated to version 0.2.5 with previous version 0.2.4 dated 2019-05-17

Title: Adapt Numerical Records to Fit (in)Equality Restrictions
Description: Minimally adjust the values of numerical records in a data.frame, such that each record satisfies a predefined set of equality and/or inequality constraints. The constraints can be defined using the 'validate' package. The core algorithms have recently been moved to the 'lintools' package, refer to 'lintools' for a more basic interface and access to a version of the algorithm that works with sparse matrices.
Author: Mark van der Loo
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package rfacebookstat updated to version 1.9.1 with previous version 1.9.0 dated 2019-05-21

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package ggdemetra updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-24

Title: 'ggplot2' Extension for Seasonal and Trading Day Adjustment with 'RJDemetra'
Description: Provides 'ggplot2' functions to return the results of seasonal and trading day adjustment made by 'RJDemetra'. 'RJDemetra' is an 'R' interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System and the European System of Central Banks.
Author: Alain Quartier-la-Tente [aut, cre]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

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Package QUALYPSO updated to version 1.1 with previous version 1.0.1 dated 2019-05-24

Title: Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections
Description: These functions use data augmentation and Bayesian techniques for the assessment of single-member and incomplete ensembles of climate projections. It provides unbiased estimates of climate change responses of all simulation chains and of all uncertainty variables. It additionally propagates uncertainty due to missing information in the estimates. - Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie. (2019) <doi:10.1175/JCLI-D-18-0606.1>.
Author: Guillaume Evin [aut, cre]
Maintainer: Guillaume Evin <guillaume.evin@irstea.fr>

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Package qgraph updated to version 1.6.3 with previous version 1.6.2 dated 2019-05-09

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.
Author: Sacha Epskamp [aut, cre], Giulio Costantini [aut], Jonas Haslbeck [aut], Adela Isvoranu [aut], Angelique O. J. Cramer [ctb], Lourens J. Waldorp [ctb], Verena D. Schmittmann [ctb], Denny Borsboom [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package MXM updated to version 1.4.4 with previous version 1.4.3 dated 2019-05-27

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. References: a) Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets. Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>. b) Tsagris, M., Lagani, V. and Tsamardinos, I. (2018). Feature selection for high-dimensional temporal data. BMC Bioinformatics, 19:17. <doi:10.1186/s12859-018-2023-7>. c) Tsagris, M., Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). Constraint-based causal discovery with mixed data. International Journal of Data Science and Analytics, 6(1): 19-30. <doi:10.1007/s41060-018-0097-y>. d) Tsagris, M., Papadovasilakis, Z., Lakiotaki, K. and Tsamardinos, I. (2018). Efficient feature selection on gene expression data: Which algorithm to use? BioRxiv. <doi:10.1101/431734>. e) Tsagris, M. (2019). Bayesian Network Learning with the PC Algorithm: An Improved and Correct Variation. Applied Artificial Intelligence, 33(2):101-123. <doi:10.1080/08839514.2018.1526760>. f) Borboudakis, G. and Tsamardinos, I. (2019). Forward-Backward Selection with Early Dropping. Journal of Machine Learning Research 20: 1-39.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package CSTools updated to version 1.0.1 with previous version 1.0.0 dated 2019-04-24

Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
Description: Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the ERA4CS project MEDSCOPE. Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>. Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>. Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. Torralba et al. (2017) <doi:10.1175/JAMC-D-16-0204.1>. D'Onofrio et al. (2014) <doi:10.1175/JHM-D-13-096.1>.
Author: BSC-CNS [cph], Louis-Philippe Caron [aut] (<https://orcid.org/0000-0001-5221-0147>), Jost von Hardenberg [aut] (<https://orcid.org/0000-0002-5312-8070>), Nuria Perez-Zanon [aut, cre] (<https://orcid.org/0000-0001-8568-3071>), Llorenç LLedo [aut], Nicolau Manubens [aut], Niti Mishra [ctb], Veronica Torralba [aut], Deborah Verfaillie [aut], Lauriane Batte [ctb], Jesus Peña [ctb], Bert van Schaeybroeck [ctb]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>

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New package ui with initial version 0.1.0
Package: ui
Title: Uncertainty Intervals and Sensitivity Analysis for Missing Data
Version: 0.1.0
Author: Minna Genbaeck [aut, cre],
Maintainer: Minna Genbaeck <minna.genback@umu.se>
Description: Implements functions to derive uncertainty intervals for (i) regression (linear and probit) parameters when outcome is missing not at random (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbaeck, M., Ng, N., Stanghellini, E., de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>; and (ii) double robust and outcome regression estimators of average causal effects (on the treated) with possibly unobserved confounding introduced in Genbaeck, M., de Luna, X. (2018) <doi:10.1111/biom.13001>.
Depends: R (>= 3.5)
Imports: Matrix, maxLik, mvtnorm, numDeriv, graphics, stats
Suggests: MASS
Encoding: UTF-8
LazyData: true
License: GPL-2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-19 09:28:53 UTC; miahjr04
Repository: CRAN
Date/Publication: 2019-06-19 12:10:03 UTC

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New package shrinkTVP with initial version 1.0.0
Package: shrinkTVP
Type: Package
Title: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage
Version: 1.0.0
Authors@R: c( person("Peter", "Knaus", email = "peter.knaus@wu.ac.at", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6498-7084")), person("Angela", "Bitto-Nemling", role = "aut"), person("Annalisa", "Cadonna", email = "annalisa.cadonna@wu.ac.at", role = "aut", comment = c(ORCID = "0000-0003-0360-7628")), person("Sylvia", "Frühwirth-Schnatter", email = "sylvia.fruehwirth-schnatter@wu.ac.at", role = "aut", comment = c(ORCID = "0000-0003-0516-5552")), person("Daniel", "Winkler", email = "daniel.winkler@wu.ac.at", role = "ctb"), person("Kemal", "Dingic", role = "ctb"))
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: Rcpp, GIGrvg, stochvol, coda, methods, utils
LinkingTo: Rcpp, RcppArmadillo, GIGrvg, RcppProgress, stochvol
RoxygenNote: 6.1.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-06-19 09:59:04 UTC; pknaus
Author: Peter Knaus [aut, cre] (<https://orcid.org/0000-0001-6498-7084>), Angela Bitto-Nemling [aut], Annalisa Cadonna [aut] (<https://orcid.org/0000-0003-0360-7628>), Sylvia Frühwirth-Schnatter [aut] (<https://orcid.org/0000-0003-0516-5552>), Daniel Winkler [ctb], Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>
Repository: CRAN
Date/Publication: 2019-06-19 12:10:07 UTC

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Package mvtnorm updated to version 1.0-11 with previous version 1.0-10 dated 2019-03-04

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] (<https://orcid.org/0000-0002-6294-8185>), Martin Maechler [ctb], Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package metaheuristicOpt updated to version 2.0.0 with previous version 1.0.0 dated 2017-10-16

Title: Metaheuristic for Optimization
Description: An implementation of metaheuristic algorithms for continuous optimization. Currently, the package contains the implementations of 21 algorithms, as follows: particle swarm optimization (Kennedy and Eberhart, 1995), ant lion optimizer (Mirjalili, 2015 <doi:10.1016/j.advengsoft.2015.01.010>), grey wolf optimizer (Mirjalili et al., 2014 <doi:10.1016/j.advengsoft.2013.12.007>), dragonfly algorithm (Mirjalili, 2015 <doi:10.1007/s00521-015-1920-1>), firefly algorithm (Yang, 2009 <doi:10.1007/978-3-642-04944-6_14>), genetic algorithm (Holland, 1992, ISBN:978-0262581110), grasshopper optimisation algorithm (Saremi et al., 2017 <doi:10.1016/j.advengsoft.2017.01.004>), harmony search algorithm (Mahdavi et al., 2007 <doi:10.1016/j.amc.2006.11.033>), moth flame optimizer (Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>, sine cosine algorithm (Mirjalili, 2016 <doi:10.1016/j.knosys.2015.12.022>), whale optimization algorithm (Mirjalili and Lewis, 2016 <doi:10.1016/j.advengsoft.2016.01.008>), clonal selection algorithm (Castro, 2002 <doi:10.1109/TEVC.2002.1011539>), differential evolution (Das & Suganthan, 2011), shuffled frog leaping (Eusuff, Landsey & Pasha, 2006), cat swarm optimization (Chu et al., 2006), artificial bee colony algorithm (Karaboga & Akay, 2009), krill-herd algorithm (Gandomi & Alavi, 2012), cuckoo search (Yang & Deb, 2009), bat algorithm (Yang, 2012), gravitational based search (Rashedi et al., 2009) and black hole optimization (Hatamlou, 2013).
Author: Lala Septem Riza [aut, cre], Iip [aut], Eddy Prasetyo Nugroho [aut], Muhammad Bima Adi Prabowo [aut], Enjun Junaeti [aut], Ade Gafar Abdullah [aut]
Maintainer: Lala Septem Riza <lala.s.riza@upi.edu>

Diff between metaheuristicOpt versions 1.0.0 dated 2017-10-16 and 2.0.0 dated 2019-06-19

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New package MatchIt.mice with initial version 1.0.3
Type: Package
Package: MatchIt.mice
Title: Selecting Matched Samples from Multiply Imputed Datasets
Description: Selects matched samples from the control and treatment groups of each imputed datasets and estimates the weight of each individual in the complete distribution of control and treatment groups of the imputed datasets. Please see the package GitHub page <https://github.com/FarhadPishgar/MatchIt.mice/> for more details.
Version: 1.0.3
Author: Farhad Pishgar
Maintainer: Farhad Pishgar <Farhad.Pishgar@Gmail.com>
URL: https://github.com/FarhadPishgar/MatchIt.mice
BugReports: https://github.com/FarhadPishgar/MatchIt.mice/issues
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: mice, MatchIt
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-19 09:35:45 UTC; Farhad
Repository: CRAN
Date/Publication: 2019-06-19 12:10:19 UTC

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New package shinymanager with initial version 1.0
Package: shinymanager
Title: Authentication Management for 'Shiny' Applications
Version: 1.0
Authors@R: c( person("Benoit", "Thieurmel", email = "benoit.thieurmel@datastorm.fr", role = c("aut", "cre")), person("Victor", "Perrier", email = "victor.perrier@dreamRs.fr", role = c("aut")) )
Description: Simple and secure authentification mechanism for single 'Shiny' applications. Credentials are stored in an encrypted 'SQLite' database. Source code of main application is protected until authentication is successful.
License: GPL-3
URL: https://github.com/datastorm-open/shinymanager
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: R6, shiny, htmltools, DT (>= 0.5), DBI, RSQLite, openssl, R.utils, billboarder
Suggests: keyring, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2019-06-18 09:15:34 UTC; Datastorm
Author: Benoit Thieurmel [aut, cre], Victor Perrier [aut]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>
Repository: CRAN
Date/Publication: 2019-06-19 11:20:04 UTC

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New package portfolioBacktest with initial version 0.1.0
Package: portfolioBacktest
Title: Automated Backtesting of Portfolios over Multiple Datasets
Version: 0.1.0
Date: 2019-06-19
Description: Automated backtesting of multiple portfolios over multiple datasets of stock prices in a rolling-window fashion. Intended for researchers and practitioners to backtest a set of different portfolios, as well as by a course instructor to assess the students in their portfolio design in a fully automated and convenient manner, with results conveniently formatted in tables and plots. Each portfolio design is easily defined as a function that takes as input a window of the stock prices and outputs the portfolio weights. Multiple portfolios can be easily specified as a list of functions or as files in a folder. Multiple datasets can be conveniently extracted randomly from different markets, different time periods, and different subsets of the stock universe. The results can be later assessed and ranked with tables based on a number of performance criteria (e.g., expected return, volatility, Sharpe ratio, drawdown, turnover rate, return on investment, computational time, etc.), as well as plotted in a number of ways with nice barplots and boxplots.
Authors@R: c( person(c("Daniel", "P."), "Palomar", role = c("cre", "aut"), email = "daniel.p.palomar@gmail.com"), person("Rui", "Zhou", role = "aut", email = "rzhouae@connect.ust.hk") )
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>
URL: https://CRAN.R-project.org/package=portfolioBacktest, https://github.com/dppalomar/portfolioBacktest
BugReports: https://github.com/dppalomar/portfolioBacktest/issues
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Imports: doSNOW, evaluate, foreach, PerformanceAnalytics, quantmod, R.utils, snow, utils, xts, zoo
Suggests: CVXR, DT, ggplot2, gridExtra, knitr, prettydoc, readtext, rmarkdown, R.rsp, stringi, testthat
VignetteBuilder: knitr, rmarkdown, R.rsp
NeedsCompilation: no
Packaged: 2019-06-19 05:30:35 UTC; palomar
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut]
Repository: CRAN
Date/Publication: 2019-06-19 11:40:02 UTC

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New package nlMS with initial version 1.0
Package: nlMS
Type: Package
Title: Non-Linear Model Selection
Version: 1.0
Author: Carme Font <carme.font.moragon@gmail.com>
Maintainer: Carme Font <carme.font.moragon@gmail.com>
Description: Package to select best model among several linear and nonlinear models. The main function uses the gnls() function from the 'nlme' package to fit the data to nine regression models, named: "linear", "quadratic", "cubic", "logistic", "exponential", "power", "monod", "haldane", "logit".
License: GPL-3
Imports: nlme, stats, graphics, grDevices
NeedsCompilation: no
Packaged: 2019-06-03 10:07:56 UTC; cfont
Repository: CRAN
Date/Publication: 2019-06-19 11:50:02 UTC

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Package miceadds updated to version 3.4-17 with previous version 3.3-33 dated 2019-05-11

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are included. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>) and substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>).
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 3.3-33 dated 2019-05-11 and 3.4-17 dated 2019-06-19

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Package cluster updated to version 2.1.0 with previous version 2.0.9 dated 2019-05-01

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>), Keefe Murphy [ctb] (volume.ellipsoid({d >= 3}))
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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New package wwntests with initial version 1.0.0
Package: wwntests
Type: Package
Title: Hypothesis Tests for Functional Time Series
Version: 1.0.0
Author: Daniel Petoukhov [aut, cre]
Maintainer: Daniel Petoukhov <dvpetouk@uwaterloo.ca>
Authors@R: person("Daniel", "Petoukhov", email = "dvpetouk@uwaterloo.ca", role = c("aut", "cre"))
Description: Provides an array of white noise hypothesis tests for functional data and related visualizations. These include tests based on the norms of autocovariance operators that are built under both strong and weak white noise assumptions. Additionally, tests based on the spectral density operator and on principal component dimensional reduction are included, which are built under strong white noise assumptions. These methods are described in Kokoszka et al. (2017) <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019) <doi:10.1016/j.ecosta.2019.01.003>, and Gabrys and Kokoszka (2007) <doi:10.1198/016214507000001111>, respectively.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: sde, stats, ftsa, rainbow, MASS, graphics
Suggests: testthat, knitr, rmarkdown, fOptions, CompQuadForm, tensorA
RoxygenNote: 6.1.1
VignetteBuilder: knitr
BugReports: https://github.com/jimthemadmanlahey/wwntests/issues
NeedsCompilation: no
Packaged: 2019-06-18 22:08:43 UTC; daniel
Repository: CRAN
Date/Publication: 2019-06-19 10:50:03 UTC

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Package psycho updated to version 0.4.91 with previous version 0.4.9 dated 2019-03-31

Title: Efficient and Publishing-Oriented Workflow for Psychological Science
Description: The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.
Author: Dominique Makowski [aut, cre, cph] (<https://orcid.org/0000-0001-5375-9967>), Hugo Najberg [ctb], Viliam Simko [ctb], Sasha Epskamp [rev] (Sasha reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/470)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between psycho versions 0.4.9 dated 2019-03-31 and 0.4.91 dated 2019-06-19

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Package AzureVM updated to version 2.0.0 with previous version 1.0.0 dated 2018-12-25

Title: Virtual Machines in 'Azure'
Description: Functionality for working with virtual machines (VMs) in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/services/virtual-machines/>. Includes facilities to deploy, startup, shutdown, and cleanly delete VMs and VM clusters. Deployment configurations can be highly customised, and can make use of existing resources as well as creating new ones. A selection of predefined configurations is provided to allow easy deployment of commonly used Linux and Windows images, including Data Science Virtual Machines. With a running VM, execute scripts and install optional extensions. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package StratigrapheR updated to version 0.0.6 with previous version 0.0.5 dated 2019-04-26

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Wouters, S., Da Silva, A.C. Crucifix, M., Sinnesael, M., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2019, Litholog generation with the StratigrapheR package and signal decomposition for cyclostratigraphic purposes. Geophysical Research Abstracts Vol. 21, EGU2019-5520, 2019, EGU General Assembly 2019. <http://hdl.handle.net/2268/234402> The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>

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New package StratifiedMedicine with initial version 0.1.0
Package: StratifiedMedicine
Type: Package
Title: Stratified Medicine
Version: 0.1.0
Author: Thomas Jemielita [aut, cre]
Maintainer: Thomas Jemielita <thomasjemielita@gmail.com>
Description: A toolkit for stratified medicine, subgroup identification, and precision medicine. Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate models (counterfactual patient-level quantities, for example the individual treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) parameter estimation and inference (for the overall population and discovered subgroups). These tools can directly feed into stratified medicine algorithms including PRISM (patient identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)). PRISM is a flexible and general framework which accepts user-created models/functions. This package is in beta and will be continually updated.
License: GPL-3
Encoding: UTF-8
LazyData: true4
Depends: R (>= 3.1),
Imports: dplyr, partykit, rpart, ranger, BART, grf, survival, survRM2, glmnet, ggplot2, mvtnorm, coin, TH.data
RoxygenNote: 6.1.1
URL: https://github.com/thomasjemielita/StratifiedMedicine
Suggests: knitr, rmarkdown, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-18 20:23:22 UTC; thoma
Repository: CRAN
Date/Publication: 2019-06-19 09:50:03 UTC

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New package mixSPE with initial version 0.1.1
Package: mixSPE
Type: Package
Title: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification
Version: 0.1.1
Date: 2019-06-18
Author: Utkarsh J. Dang[aut, cre], Michael P. B. Gallaugher[ctb], Ryan P. Browne[aut, cre], and Paul D. McNicholas[aut]
Maintainer: Utkarsh J. Dang <udang@binghamton.edu>
Description: Mixtures of skewed and elliptical distributions are implemented using mixtures of multivariate skew power exponential and power exponential distributions, respectively. A generalized expectation-maximization framework is used for parameter estimation. Methodology for mixtures of power exponential distributions is from Dang et al. (2015) <doi: 10.1111/biom.12351>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: mvtnorm
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-06-18 15:20:36 UTC; udang
Repository: CRAN
Date/Publication: 2019-06-19 09:10:02 UTC

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New package lgrdata with initial version 0.1.1
Package: lgrdata
Type: Package
Title: Example Datasets for a Learning Guide to R
Version: 0.1.1
Authors@R: c(person("Remko", "Duursma", email = "remkoduursma@gmail.com", role = c("aut", "cre")), person("Jeff","Powell", role="ctb"))
Description: A largish collection of example datasets, including several classics. Many of these datasets are well suited for regression, classification, and visualization.
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: ggplot2
LazyData: false
License: CC0
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-18 17:44:42 UTC; remko
Author: Remko Duursma [aut, cre], Jeff Powell [ctb]
Maintainer: Remko Duursma <remkoduursma@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-19 09:40:03 UTC

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New package klustR with initial version 0.1.0
Package: klustR
Title: D3 Dynamic Cluster Visualizations
Description: Used to create dynamic, interactive 'D3.js' based parallel coordinates and principal component plots in 'R'. The plots make visualizing k-means or other clusters simple and informative.
Version: 0.1.0
Authors@R: person("McKay", "Davis", email = "mckaymdavis@gmail.com", role = c("aut", "cre"))
URL: https://mckaymdavis.github.io/klustR/, https://github.com/McKayMDavis/klustR
BugReports: https://github.com/McKayMDavis/klustR/issues
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Imports: htmlwidgets (>= 0.3.2), jsonlite
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-18 18:01:08 UTC; mckaydavis
Author: McKay Davis [aut, cre]
Maintainer: McKay Davis <mckaymdavis@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-19 09:40:08 UTC

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New package gert with initial version 0.1
Package: gert
Type: Package
Title: Simple Git Client
Version: 0.1
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Description: Minimal git client for R based on 'libgit2' <https://libgit2.org/>. This package requires a somewhat recent version of 'libgit2' is installed on the system.
License: MIT + file LICENSE
SystemRequirements: libgit2 (>= 0.26): libgit2-devel (rpm) or libgit2-dev (deb)
URL: http://github.com/r-lib/gert (devel), https://libgit2.org (upstream)
BugReports: http://github.com/r-lib/gert/issues
Encoding: UTF-8
RoxygenNote: 6.1.1
Imports: credentials (>= 1.0), askpass, openssl
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-06-18 14:16:33 UTC; jeroen
Repository: CRAN
Date/Publication: 2019-06-19 09:00:03 UTC

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New package BisqueRNA with initial version 1.0
Package: BisqueRNA
Title: Decomposition of Bulk Expression with Single-Cell Sequencing
Version: 1.0
Authors@R: c( person(given = 'Brandon', family = 'Jew', email = 'brandon.jew@ucla.edu', role = c('aut', 'cre')), person(given = 'Marcus', family = 'Alvarez', role = 'aut') )
Description: Provides tools to accurately estimate cell type abundances from heterogeneous bulk expression. A reference-based method utilizes single-cell information to generate a signature matrix and transformation of bulk expression for accurate regression based estimates. A marker-based method utilizes known cell-specific marker genes to measure relative abundances across samples. For more details, see Jew and Alvarez et al (2019) <doi:10.1101/669911>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: Biobase, lsei, methods, stats
Suggests: Seurat, plyr, knitr, rmarkdown, testthat
URL: https://www.biorxiv.org/content/10.1101/669911v1
BugReports: https://github.com/cozygene/bisque/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-18 17:27:50 UTC; bjew
Author: Brandon Jew [aut, cre], Marcus Alvarez [aut]
Maintainer: Brandon Jew <brandon.jew@ucla.edu>
Repository: CRAN
Date/Publication: 2019-06-19 09:30:09 UTC

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New package scriptName with initial version 1.0.1
Package: scriptName
Title: Determine a Script's Filename from Within the Script Itself
Description: A small set of functions wrapping up the call stack and command line inspection needed to determine a running script's filename from within the script itself.
Version: 1.0.1
Authors@R: c( person("Thomas", "Sibley", email = "trsibley@uw.edu", role = c("aut", "cre")), person("University of Washington", role = c("cph")), person("Travers", "Ching", email = "traversc@gmail.com", role = c("ctb")) )
License: MIT + file LICENSE
URL: https://github.com/MullinsLab/scriptName
BugReports: https://github.com/MullinsLab/scriptName/issues
Imports: rlang (>= 0.1.0), purrr (>= 0.2.3)
Suggests: testthat, devtools
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-06-19 06:36:17 UTC; tom
Author: Thomas Sibley [aut, cre], University of Washington [cph], Travers Ching [ctb]
Maintainer: Thomas Sibley <trsibley@uw.edu>
Repository: CRAN
Date/Publication: 2019-06-19 07:40:03 UTC

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Package krige updated to version 0.2-1 with previous version 0.1-1 dated 2018-08-24

Title: Geospatial Kriging with Metropolis Sampling
Description: Estimates kriging models for geographical point-referenced data. Method is described in Monogan and Gill (2016) <doi:10.1017/psrm.2015.5>.
Author: Jason S. Byers [aut, cre], Jeff Gill [aut], James E. Monogan III [aut]
Maintainer: Jason S. Byers <jaybyers55@gmail.com>

Diff between krige versions 0.1-1 dated 2018-08-24 and 0.2-1 dated 2019-06-19

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Package jstable updated to version 0.8.3 with previous version 0.8.2 dated 2019-06-07

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jstable versions 0.8.2 dated 2019-06-07 and 0.8.3 dated 2019-06-19

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Package phangorn updated to version 2.5.5 with previous version 2.5.3 dated 2019-03-23

Title: Phylogenetic Reconstruction and Analysis
Description: Package contains methods for estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation. Allows to compare trees, models selection and offers visualizations for trees and split networks.
Author: Klaus Schliep [aut, cre] (<https://orcid.org/0000-0003-2941-0161>), Emmanuel Paradis [aut] (<https://orcid.org/0000-0003-3092-2199>), Leonardo de Oliveira Martins [aut] (<https://orcid.org/0000-0001-5247-1320>), Alastair Potts [aut], Tim W. White [aut], Cyrill Stachniss [ctb], Michelle Kendall [ctb], Keren Halabi [ctb], Richel Bilderbeek [ctb], Kristin Winchell [ctb]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

Diff between phangorn versions 2.5.3 dated 2019-03-23 and 2.5.5 dated 2019-06-19

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Package liftr updated to version 0.9.2 with previous version 0.9 dated 2018-05-14

Title: Containerize R Markdown Documents for Continuous Reproducibility
Description: Persistent reproducible reporting by containerization of R Markdown documents.
Author: Nan Xiao [aut, cre] (<https://orcid.org/0000-0002-0250-5673>), Miao-Zhu Li [ctb], Teng-Fei Yin [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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