Wed, 13 Jul 2022

Package pointblank updated to version 0.11.0 with previous version 0.10.0 dated 2022-01-23

Title: Data Validation and Organization of Metadata for Local and Remote Tables
Description: Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
Author: Richard Iannone [aut, cre] , Mauricio Vargas [aut]
Maintainer: Richard Iannone <riannone@me.com>

Diff between pointblank versions 0.10.0 dated 2022-01-23 and 0.11.0 dated 2022-07-13

 pointblank-0.10.0/pointblank/man/figures                                      |only
 pointblank-0.11.0/pointblank/DESCRIPTION                                      |   22 
 pointblank-0.11.0/pointblank/MD5                                              |  522 +++----
 pointblank-0.11.0/pointblank/NAMESPACE                                        |    3 
 pointblank-0.11.0/pointblank/NEWS.md                                          |   18 
 pointblank-0.11.0/pointblank/R/action_levels.R                                |  191 +-
 pointblank-0.11.0/pointblank/R/all_passed.R                                   |   46 
 pointblank-0.11.0/pointblank/R/col_count_match.R                              |only
 pointblank-0.11.0/pointblank/R/col_exists.R                                   |  171 +-
 pointblank-0.11.0/pointblank/R/col_is_character.R                             |  169 +-
 pointblank-0.11.0/pointblank/R/col_is_date.R                                  |  165 +-
 pointblank-0.11.0/pointblank/R/col_is_factor.R                                |  163 +-
 pointblank-0.11.0/pointblank/R/col_is_integer.R                               |  166 +-
 pointblank-0.11.0/pointblank/R/col_is_logical.R                               |  169 +-
 pointblank-0.11.0/pointblank/R/col_is_numeric.R                               |  169 +-
 pointblank-0.11.0/pointblank/R/col_is_posix.R                                 |  168 +-
 pointblank-0.11.0/pointblank/R/col_schema_match.R                             |  270 ++--
 pointblank-0.11.0/pointblank/R/col_vals_between.R                             |  231 +--
 pointblank-0.11.0/pointblank/R/col_vals_decreasing.R                          |  206 +--
 pointblank-0.11.0/pointblank/R/col_vals_equal.R                               |  183 +-
 pointblank-0.11.0/pointblank/R/col_vals_expr.R                                |  205 +--
 pointblank-0.11.0/pointblank/R/col_vals_gt.R                                  |  191 +-
 pointblank-0.11.0/pointblank/R/col_vals_gte.R                                 |  183 +-
 pointblank-0.11.0/pointblank/R/col_vals_in_set.R                              |  182 +-
 pointblank-0.11.0/pointblank/R/col_vals_increasing.R                          |  194 +-
 pointblank-0.11.0/pointblank/R/col_vals_lt.R                                  |  183 +-
 pointblank-0.11.0/pointblank/R/col_vals_lte.R                                 |  183 +-
 pointblank-0.11.0/pointblank/R/col_vals_make_set.R                            |  183 +-
 pointblank-0.11.0/pointblank/R/col_vals_make_subset.R                         |  186 +-
 pointblank-0.11.0/pointblank/R/col_vals_not_between.R                         |  237 ++-
 pointblank-0.11.0/pointblank/R/col_vals_not_equal.R                           |  185 +-
 pointblank-0.11.0/pointblank/R/col_vals_not_in_set.R                          |  178 +-
 pointblank-0.11.0/pointblank/R/col_vals_not_null.R                            |  175 +-
 pointblank-0.11.0/pointblank/R/col_vals_null.R                                |  177 +-
 pointblank-0.11.0/pointblank/R/col_vals_regex.R                               |  199 +-
 pointblank-0.11.0/pointblank/R/col_vals_within_spec.R                         |  190 +-
 pointblank-0.11.0/pointblank/R/column_roles.R                                 |   18 
 pointblank-0.11.0/pointblank/R/conjointly.R                                   |  204 +--
 pointblank-0.11.0/pointblank/R/create_agent.R                                 |  331 +++-
 pointblank-0.11.0/pointblank/R/create_informant.R                             |  116 +
 pointblank-0.11.0/pointblank/R/create_multiagent.R                            |  178 +-
 pointblank-0.11.0/pointblank/R/draft_validation.R                             |  229 +++
 pointblank-0.11.0/pointblank/R/emailing.R                                     |  307 +---
 pointblank-0.11.0/pointblank/R/file_naming.R                                  |  213 ++-
 pointblank-0.11.0/pointblank/R/get_agent_report.R                             |  248 ++-
 pointblank-0.11.0/pointblank/R/get_agent_x_list.R                             |   52 
 pointblank-0.11.0/pointblank/R/get_data_extracts.R                            |   76 -
 pointblank-0.11.0/pointblank/R/get_informant_report.R                         |   57 
 pointblank-0.11.0/pointblank/R/get_multiagent_report.R                        |  163 +-
 pointblank-0.11.0/pointblank/R/get_sundered_data.R                            |  160 +-
 pointblank-0.11.0/pointblank/R/has_columns.R                                  |  130 +
 pointblank-0.11.0/pointblank/R/incorporate.R                                  |  101 -
 pointblank-0.11.0/pointblank/R/info_add.R                                     |  549 ++++----
 pointblank-0.11.0/pointblank/R/interrogate.R                                  |  598 ++++++---
 pointblank-0.11.0/pointblank/R/logging.R                                      |  151 +-
 pointblank-0.11.0/pointblank/R/object_ops.R                                   |  482 +++----
 pointblank-0.11.0/pointblank/R/print.R                                        |   30 
 pointblank-0.11.0/pointblank/R/read_disk_multiagent.R                         |    8 
 pointblank-0.11.0/pointblank/R/remove_deactivate.R                            |   32 
 pointblank-0.11.0/pointblank/R/row_count_match.R                              |  273 ++--
 pointblank-0.11.0/pointblank/R/rows_complete.R                                |  185 +-
 pointblank-0.11.0/pointblank/R/rows_distinct.R                                |  187 +-
 pointblank-0.11.0/pointblank/R/scan_data.R                                    |  354 +++--
 pointblank-0.11.0/pointblank/R/serially.R                                     |  233 ++-
 pointblank-0.11.0/pointblank/R/specially.R                                    |  282 ++--
 pointblank-0.11.0/pointblank/R/steps_and_briefs.R                             |  337 +++--
 pointblank-0.11.0/pointblank/R/table_transformers.R                           |  310 ++--
 pointblank-0.11.0/pointblank/R/tbl_from_db.R                                  |  416 ++++--
 pointblank-0.11.0/pointblank/R/tbl_from_file.R                                |  250 ++-
 pointblank-0.11.0/pointblank/R/tbl_match.R                                    |  162 +-
 pointblank-0.11.0/pointblank/R/tbl_store.R                                    |  664 +++++++---
 pointblank-0.11.0/pointblank/R/utils-profiling.R                              |    2 
 pointblank-0.11.0/pointblank/R/utils.R                                        |  112 +
 pointblank-0.11.0/pointblank/R/validate_rmd.R                                 |    6 
 pointblank-0.11.0/pointblank/R/write_testthat_file.R                          |  183 +-
 pointblank-0.11.0/pointblank/R/yaml_exec.R                                    |   14 
 pointblank-0.11.0/pointblank/R/yaml_read_agent.R                              |  403 ++----
 pointblank-0.11.0/pointblank/R/yaml_read_informant.R                          |  235 ---
 pointblank-0.11.0/pointblank/R/yaml_write.R                                   |  544 ++++++--
 pointblank-0.11.0/pointblank/R/zzz.R                                          |    1 
 pointblank-0.11.0/pointblank/README.md                                        |    2 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_count_match.png      |only
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_count_match.svg      |only
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_exists.png           |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_exists.svg           |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_character.png     |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_character.svg     |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_date.png          |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_date.svg          |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_factor.png        |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_factor.svg        |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_integer.png       |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_integer.svg       |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_logical.png       |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_logical.svg       |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_numeric.png       |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_numeric.svg       |   15 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_posix.png         |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_is_posix.svg         |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_schema_match.png     |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_schema_match.svg     |   22 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_between.png     |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_between.svg     |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_decreasing.png  |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_decreasing.svg  |    9 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_equal.png       |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_equal.svg       |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_expr.png        |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_expr.svg        |   18 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_gt.png          |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_gt.svg          |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_gte.png         |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_gte.svg         |   18 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_in_set.png      |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_in_set.svg      |   18 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_increasing.png  |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_increasing.svg  |    9 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_lt.png          |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_lt.svg          |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_lte.png         |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_lte.svg         |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_make_set.png    |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_make_set.svg    |    6 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_make_subset.png |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_make_subset.svg |    6 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_between.png |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_between.svg |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_equal.png   |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_equal.svg   |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_in_set.png  |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_in_set.svg  |   22 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_null.png    |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_not_null.svg    |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_null.png        |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_null.svg        |   18 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_regex.png       |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_regex.svg       |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_within_spec.png |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/col_vals_within_spec.svg |    6 
 pointblank-0.11.0/pointblank/inst/img/function_icons/conjointly.png           |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/conjointly.svg           |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/row_count_match.png      |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/row_count_match.svg      |   16 
 pointblank-0.11.0/pointblank/inst/img/function_icons/rows_complete.png        |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/rows_complete.svg        |   10 
 pointblank-0.11.0/pointblank/inst/img/function_icons/rows_distinct.png        |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/rows_distinct.svg        |   20 
 pointblank-0.11.0/pointblank/inst/img/function_icons/serially.png             |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/serially.svg             |   11 
 pointblank-0.11.0/pointblank/inst/img/function_icons/specially.png            |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/specially.svg            |    8 
 pointblank-0.11.0/pointblank/inst/img/function_icons/tbl_match.png            |binary
 pointblank-0.11.0/pointblank/inst/img/function_icons/tbl_match.svg            |    8 
 pointblank-0.11.0/pointblank/inst/text/translations_built                     |binary
 pointblank-0.11.0/pointblank/man/action_levels.Rd                             |  207 ++-
 pointblank-0.11.0/pointblank/man/activate_steps.Rd                            |    5 
 pointblank-0.11.0/pointblank/man/affix_date.Rd                                |   76 -
 pointblank-0.11.0/pointblank/man/affix_datetime.Rd                            |  117 +
 pointblank-0.11.0/pointblank/man/all_passed.Rd                                |   58 
 pointblank-0.11.0/pointblank/man/col_count_match.Rd                           |only
 pointblank-0.11.0/pointblank/man/col_exists.Rd                                |  186 +-
 pointblank-0.11.0/pointblank/man/col_is_character.Rd                          |  185 +-
 pointblank-0.11.0/pointblank/man/col_is_date.Rd                               |  190 +-
 pointblank-0.11.0/pointblank/man/col_is_factor.Rd                             |  192 +-
 pointblank-0.11.0/pointblank/man/col_is_integer.Rd                            |  183 +-
 pointblank-0.11.0/pointblank/man/col_is_logical.Rd                            |  192 +-
 pointblank-0.11.0/pointblank/man/col_is_numeric.Rd                            |  192 +-
 pointblank-0.11.0/pointblank/man/col_is_posix.Rd                              |  191 +-
 pointblank-0.11.0/pointblank/man/col_schema.Rd                                |   97 -
 pointblank-0.11.0/pointblank/man/col_schema_match.Rd                          |  203 ++-
 pointblank-0.11.0/pointblank/man/col_vals_between.Rd                          |  219 ++-
 pointblank-0.11.0/pointblank/man/col_vals_decreasing.Rd                       |  204 +--
 pointblank-0.11.0/pointblank/man/col_vals_equal.Rd                            |  174 +-
 pointblank-0.11.0/pointblank/man/col_vals_expr.Rd                             |  219 ++-
 pointblank-0.11.0/pointblank/man/col_vals_gt.Rd                               |  188 +-
 pointblank-0.11.0/pointblank/man/col_vals_gte.Rd                              |  180 +-
 pointblank-0.11.0/pointblank/man/col_vals_in_set.Rd                           |  184 +-
 pointblank-0.11.0/pointblank/man/col_vals_increasing.Rd                       |  191 +-
 pointblank-0.11.0/pointblank/man/col_vals_lt.Rd                               |  174 +-
 pointblank-0.11.0/pointblank/man/col_vals_lte.Rd                              |  174 +-
 pointblank-0.11.0/pointblank/man/col_vals_make_set.Rd                         |  185 +-
 pointblank-0.11.0/pointblank/man/col_vals_make_subset.Rd                      |  186 +-
 pointblank-0.11.0/pointblank/man/col_vals_not_between.Rd                      |  223 ++-
 pointblank-0.11.0/pointblank/man/col_vals_not_equal.Rd                        |  176 +-
 pointblank-0.11.0/pointblank/man/col_vals_not_in_set.Rd                       |  160 +-
 pointblank-0.11.0/pointblank/man/col_vals_not_null.Rd                         |  175 +-
 pointblank-0.11.0/pointblank/man/col_vals_null.Rd                             |  179 +-
 pointblank-0.11.0/pointblank/man/col_vals_regex.Rd                            |  209 ++-
 pointblank-0.11.0/pointblank/man/col_vals_within_spec.Rd                      |  193 +-
 pointblank-0.11.0/pointblank/man/conjointly.Rd                                |  196 +-
 pointblank-0.11.0/pointblank/man/create_agent.Rd                              |  361 +++--
 pointblank-0.11.0/pointblank/man/create_informant.Rd                          |  137 +-
 pointblank-0.11.0/pointblank/man/create_multiagent.Rd                         |  199 +-
 pointblank-0.11.0/pointblank/man/db_tbl.Rd                                    |  303 +++-
 pointblank-0.11.0/pointblank/man/deactivate_steps.Rd                          |    4 
 pointblank-0.11.0/pointblank/man/draft_validation.Rd                          |  232 +++
 pointblank-0.11.0/pointblank/man/email_blast.Rd                               |  126 -
 pointblank-0.11.0/pointblank/man/email_create.Rd                              |  114 -
 pointblank-0.11.0/pointblank/man/export_report.Rd                             |  149 +-
 pointblank-0.11.0/pointblank/man/file_tbl.Rd                                  |  233 ++-
 pointblank-0.11.0/pointblank/man/get_agent_report.Rd                          |  144 +-
 pointblank-0.11.0/pointblank/man/get_agent_x_list.Rd                          |   67 -
 pointblank-0.11.0/pointblank/man/get_data_extracts.Rd                         |   80 -
 pointblank-0.11.0/pointblank/man/get_informant_report.Rd                      |    5 
 pointblank-0.11.0/pointblank/man/get_multiagent_report.Rd                     |  174 +-
 pointblank-0.11.0/pointblank/man/get_sundered_data.Rd                         |  159 +-
 pointblank-0.11.0/pointblank/man/get_tt_param.Rd                              |   54 
 pointblank-0.11.0/pointblank/man/has_columns.Rd                               |  144 +-
 pointblank-0.11.0/pointblank/man/incorporate.Rd                               |  119 +
 pointblank-0.11.0/pointblank/man/info_columns.Rd                              |   78 -
 pointblank-0.11.0/pointblank/man/info_columns_from_tbl.Rd                     |  107 +
 pointblank-0.11.0/pointblank/man/info_section.Rd                              |   75 -
 pointblank-0.11.0/pointblank/man/info_snippet.Rd                              |   90 -
 pointblank-0.11.0/pointblank/man/info_tabular.Rd                              |   83 -
 pointblank-0.11.0/pointblank/man/interrogate.Rd                               |   59 
 pointblank-0.11.0/pointblank/man/log4r_step.Rd                                |  158 +-
 pointblank-0.11.0/pointblank/man/reexports.Rd                                 |    2 
 pointblank-0.11.0/pointblank/man/remove_steps.Rd                              |    5 
 pointblank-0.11.0/pointblank/man/row_count_match.Rd                           |  236 ++-
 pointblank-0.11.0/pointblank/man/rows_complete.Rd                             |  168 +-
 pointblank-0.11.0/pointblank/man/rows_distinct.Rd                             |  170 +-
 pointblank-0.11.0/pointblank/man/scan_data.Rd                                 |   38 
 pointblank-0.11.0/pointblank/man/serially.Rd                                  |  241 ++-
 pointblank-0.11.0/pointblank/man/set_tbl.Rd                                   |   47 
 pointblank-0.11.0/pointblank/man/snip_highest.Rd                              |   41 
 pointblank-0.11.0/pointblank/man/snip_list.Rd                                 |   42 
 pointblank-0.11.0/pointblank/man/snip_lowest.Rd                               |   41 
 pointblank-0.11.0/pointblank/man/snip_stats.Rd                                |   47 
 pointblank-0.11.0/pointblank/man/specially.Rd                                 |  287 ++--
 pointblank-0.11.0/pointblank/man/tbl_get.Rd                                   |   87 -
 pointblank-0.11.0/pointblank/man/tbl_match.Rd                                 |  166 +-
 pointblank-0.11.0/pointblank/man/tbl_source.Rd                                |   97 -
 pointblank-0.11.0/pointblank/man/tbl_store.Rd                                 |  386 ++++-
 pointblank-0.11.0/pointblank/man/tt_string_info.Rd                            |   63 
 pointblank-0.11.0/pointblank/man/tt_summary_stats.Rd                          |  124 +
 pointblank-0.11.0/pointblank/man/tt_tbl_colnames.Rd                           |   71 -
 pointblank-0.11.0/pointblank/man/tt_tbl_dims.Rd                               |   57 
 pointblank-0.11.0/pointblank/man/tt_time_shift.Rd                             |   71 -
 pointblank-0.11.0/pointblank/man/tt_time_slice.Rd                             |   69 -
 pointblank-0.11.0/pointblank/man/write_testthat_file.Rd                       |  181 ++
 pointblank-0.11.0/pointblank/man/x_read_disk.Rd                               |   87 -
 pointblank-0.11.0/pointblank/man/x_write_disk.Rd                              |  218 +--
 pointblank-0.11.0/pointblank/man/yaml_agent_interrogate.Rd                    |  142 --
 pointblank-0.11.0/pointblank/man/yaml_agent_show_exprs.Rd                     |  107 -
 pointblank-0.11.0/pointblank/man/yaml_agent_string.Rd                         |  104 -
 pointblank-0.11.0/pointblank/man/yaml_informant_incorporate.Rd                |  111 -
 pointblank-0.11.0/pointblank/man/yaml_read_agent.Rd                           |  145 --
 pointblank-0.11.0/pointblank/man/yaml_read_informant.Rd                       |  122 -
 pointblank-0.11.0/pointblank/man/yaml_write.Rd                                |  341 ++++-
 pointblank-0.11.0/pointblank/tests/testthat/_snaps/draft_validation.md        |    2 
 pointblank-0.11.0/pointblank/tests/testthat/test-column_roles.R               |    4 
 pointblank-0.11.0/pointblank/tests/testthat/test-create_validation_steps.R    |   77 +
 pointblank-0.11.0/pointblank/tests/testthat/test-expectation_fns.R            |  578 +++++---
 pointblank-0.11.0/pointblank/tests/testthat/test-get_agent_report.R           |  211 +--
 pointblank-0.11.0/pointblank/tests/testthat/test-get_informant_report.R       |  211 +--
 pointblank-0.11.0/pointblank/tests/testthat/test-interrogate_simple.R         |  161 ++
 pointblank-0.11.0/pointblank/tests/testthat/test-interrogate_with_agent.R     |  285 +++-
 pointblank-0.11.0/pointblank/tests/testthat/test-sundering.R                  |   62 
 pointblank-0.11.0/pointblank/tests/testthat/test-test_fns.R                   |  361 ++---
 pointblank-0.11.0/pointblank/tests/testthat/test-transformers.R               |  115 +
 pointblank-0.11.0/pointblank/tests/testthat/test-util_functions.R             |   48 
 261 files changed, 19913 insertions(+), 12032 deletions(-)

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Package rstpm2 updated to version 1.5.7 with previous version 1.5.6 dated 2022-05-10

Title: Smooth Survival Models, Including Generalized Survival Models
Description: R implementation of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth <doi:10.1177/0962280216664760>. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects <doi:10.1002/sim.7451>, and copulas. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0(t)=exp(-exp(eta_0(t))) is modelled for natural splines for eta_0, and the time-dependent cumulative acceleration factor eta(t,x)=\int_0^t exp(eta_1(u,x)) du for log acceleration factor eta_1(u,x). The Markov multi-state models allow for a range of models with smooth transitions to predict transition probabilities, length of stay, utilities and costs, with differences, ratios and standardisation.
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Benjamin Christoffersen [aut], Paul Lambert [ctb], Lasse Hjort Jakobsen [ctb], Alessandro Gasparini [ctb], Gordon Smyth [cph], Patrick Alken [cph], Simon Wood [cph], Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package rfoaas updated to version 2.3.2 with previous version 2.1.0 dated 2020-01-09

Title: R Interface to 'FOAAS'
Description: R access to the 'FOAAS' (F... Off As A Service) web service is provided.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between rfoaas versions 2.1.0 dated 2020-01-09 and 2.3.2 dated 2022-07-13

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Package IMIX updated to version 1.1.5 with previous version 1.1.4 dated 2021-02-10

Title: Gaussian Mixture Model for Multi-Omics Data Integration
Description: A multivariate Gaussian mixture model framework to integrate multiple types of genomic data and allow modeling of inter-data-type correlations for association analysis. 'IMIX' can be implemented to test whether a disease is associated with genes in multiple genomic data types, such as DNA methylation, copy number variation, gene expression, etc. It can also study the integration of multiple pathways. 'IMIX' uses the summary statistics of association test outputs and conduct integration analysis for two or three types of genomics data. 'IMIX' features statistically-principled model selection, global FDR control and computational efficiency. Details are described in Ziqiao Wang and Peng Wei (2020) <doi:10.1093/bioinformatics/btaa1001>.
Author: Ziqiao Wang [aut, cre] , Peng Wei [ths]
Maintainer: Ziqiao Wang <wzqjanet@gmail.com>

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Package CGNM updated to version 0.4.0 with previous version 0.3.2 dated 2022-06-04

Title: Cluster Gauss-Newton Method
Description: Find multiple solutions of a nonlinear least squares problem. Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute approximate multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31.
Author: Yasunori Aoki
Maintainer: Yasunori Aoki <yaoki@uwaterloo.ca>

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Package SoilTaxonomy updated to version 0.2.0 with previous version 0.1.4 dated 2021-08-05

Title: A System of Soil Classification for Making and Interpreting Soil Surveys
Description: Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.
Author: Andrew Brown [aut, cre], Dylan Beaudette [aut]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

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Package modelsummary updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-29

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package GDSARM updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-23

Title: Gauss - Dantzig Selector: Aggregation over Random Models
Description: The method aims to identify important factors in screening experiments by aggregation over random models as studied in Singh and Stufken (2022) <doi:10.48550/arXiv.2205.13497>. This package provides functions to run the Gauss-Dantzig selector on screening experiments when interactions may be affecting the response. Currently, all functions require each factor to be at two levels coded as +1 and -1.
Author: Rakhi Singh [cre, aut] , John Stufken [aut]
Maintainer: Rakhi Singh <agrakhi@gmail.com>

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Package interp updated to version 1.1-3 with previous version 1.1-2 dated 2022-05-10

Title: Interpolation Methods
Description: Bivariate data interpolation on regular and irregular grids, either linear or using splines are the main part of this package. It is intended to provide FOSS replacement functions for the ACM licensed akima::interp and tripack::tri.mesh functions. Linear interpolation is implemented in interp::interp(..., method="linear"), this corresponds to the call akima::interp(..., linear=TRUE) which is the default setting and covers most of akima::interp use cases in depending packages. A re-implementation of Akimas irregular grid spline interpolation (akima::interp(..., linear=FALSE)) is now also available via interp::interp(..., method="akima"). Estimators for partial derivatives are now also available in interp::locpoly(), these are a prerequisite for the spline interpolation. The basic part is a GPLed triangulation algorithm (sweep hull algorithm by David Sinclair) providing the starting point for the irregular grid interpolator. As side effect this algorithm is also used to provide replacements for almost all functions of the tripack package which also suffers from the same ACM license restrictions. All functions are designed to be backward compatible with their akima / tripack counterparts.
Author: Albrecht Gebhardt [aut, cre, cph], Roger Bivand [aut], David Sinclair [aut, cph]
Maintainer: Albrecht Gebhardt <albrecht.gebhardt@aau.at>

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Package dashboardthemes updated to version 1.1.6 with previous version 1.1.5 dated 2021-08-21

Title: Customise the Appearance of 'shinydashboard' Applications using Themes
Description: Allows manual creation of themes and logos to be used in applications created using the 'shinydashboard' package. Removes the need to change the underlying css code by wrapping it into a set of convenient R functions.
Author: Nik Lilovski [aut, cre]
Maintainer: Nik Lilovski <nik.lilovski@outlook.com>

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Package resevol updated to version 0.3.0.1 with previous version 0.2.0.9 dated 2022-01-06

Title: Simulate Agricultural Production and Evolution of Pesticide Resistance
Description: Simulates individual-based models of agricultural pest management and the evolution of pesticide resistance. Management occurs on a spatially explicit landscape that is divided into an arbitrary number of farms that can grow one of up to 10 crops and apply one of up to 10 pesticides. Pest genomes are modelled in a way that allows for any number of pest traits with an arbitrary covariance structure that is constructed using an evolutionary algorithm in the mine_gmatrix() function. Simulations are then run using the run_farm_sim() function. This package thereby allows for highly mechanistic social-ecological models of the evolution of pesticide resistance under different types of crop rotation and pesticide application regimes.
Author: A. Bradley Duthie [aut, cre] , Rose McKeon [aut, ctr], Rosie Mangan [ctr], Luc Bussi&eacute;re [ctr], Matthew Tinsley [ctr]
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>

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Package cmsafvis updated to version 1.1.12 with previous version 1.1.11 dated 2022-03-15

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package processmapR updated to version 0.5.1 with previous version 0.5.0 dated 2022-07-10

Title: Construct Process Maps Using Event Data
Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Benoît Depaire [ctb], Felix Mannhardt [ctb], Thijs Beuving [ctb], urvikalia [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package effects updated to version 4.2-2 with previous version 4.2-1 dated 2022-01-06

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb], R Core Team [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package spOccupancy updated to version 0.4.0 with previous version 0.3.2 dated 2022-05-23

Title: Single-Species, Multi-Species, and Integrated Spatial Occupancy Models
Description: Fits single-species, multi-species, and integrated non-spatial and spatial occupancy models using Markov Chain Monte Carlo (MCMC). Models are fit using Polya-Gamma data augmentation detailed in Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>. Spatial models are fit using either Gaussian processes or Nearest Neighbor Gaussian Processes (NNGP) for large spatial datasets. Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2020) <arXiv:2001.09111>. Provides functionality for data integration of multiple single-species occupancy data sets using a joint likelihood framework. Details on data integration are given in Miller, Pacifici, Sanderlin, and Reich (2019) <doi:10.1111/2041-210X.13110>. Details on single-species and multi-species models are found in MacKenzie, Nichols, Lachman, Droege, Royle, and Langtimm (2002) <doi:10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2> and Dorazio and Royle <doi:10.1198/016214505000000015>, respectively.
Author: Jeffrey Doser [aut, cre], Andrew Finley [aut], Marc Kery [ctb]
Maintainer: Jeffrey Doser <doserjef@msu.edu>

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Package shinyWidgets updated to version 0.7.1 with previous version 0.7.0 dated 2022-05-11

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package oceanis updated to version 1.8.5 with previous version 1.8.4 dated 2021-11-25

Title: Cartography for Statistical Analysis
Description: Creating maps for statistical analysis such as proportional circles, choropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technologies). - Create interactive maps through zoom and pop-up ('leaflet' technology). - Create frozen maps with the possibility to add labels.
Author: Sebastien Novella [aut, cre], Sebastien Calvet [aut], Nicolas Chauvot [aut], PSAR-AT Unite CED - INSEE PACA [ctb], SED - DR Hauts-de-France - INSEE [ctb], PSAR-SL - DR Auvergne-Rhone-Alpes - INSEE [ctb], PSAR-EER - DR Occitanie - INSEE [ctb], SED - D [...truncated...]
Maintainer: Sebastien Novella <sebastien.novella@insee.fr>

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Package kst updated to version 0.5-3 with previous version 0.5-2 dated 2019-04-07

Title: Knowledge Space Theory
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kst' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces.
Author: Christina Stahl [aut], David Meyer [aut], Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

Diff between kst versions 0.5-2 dated 2019-04-07 and 0.5-3 dated 2022-07-13

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Package golem updated to version 0.3.3 with previous version 0.3.2 dated 2022-03-04

Title: A Framework for Robust Shiny Applications
Description: An opinionated framework for building a production-ready 'Shiny' application. This package contains a series of tools for building a robust 'Shiny' application from start to finish.
Author: Colin Fay [cre, aut] , Vincent Guyader [aut] , Sebastien Rochette [aut] , Cervan Girard [aut] , Novica Nakov [ctb], David Granjon [ctb], Arthur Breant [ctb], Antoine Languillaume [ctb], ThinkR [cph]
Maintainer: Colin Fay <contact@colinfay.me>

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New package goodpractice with initial version 1.0.3
Package: goodpractice
Title: Advice on R Package Building
Version: 1.0.3
Description: Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc.
License: MIT + file LICENSE
URL: https://github.com/mangothecat/goodpractice
BugReports: https://github.com/mangothecat/goodpractice/issues
Imports: clisymbols, covr, crayon, cyclocomp (>= 1.1.0), desc, jsonlite, lintr (>= 3.0.0), praise, rcmdcheck, rstudioapi, tools, utils, whoami, withr, xml2, xmlparsedata (>= 1.0.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-07-13 08:08:50 UTC; karina.marks
Author: Ascent Digital Services UK Limited [cph] , Karina Marks [aut, cre] , Daniel de Bortoli [aut] , Gabor Csardi [aut], Hannah Frick [aut], Owen Jones [aut] , Hannah Alexander [aut], Ana Simmons [ctb] , Fabian Scheipl [ctb]
Maintainer: Karina Marks <karina.marks@ascent.io>
Repository: CRAN
Date/Publication: 2022-07-13 13:20:08 UTC

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Package permutes updated to version 2.6 with previous version 2.5 dated 2022-06-15

Title: Permutation Tests for Time Series Data
Description: Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

Diff between permutes versions 2.5 dated 2022-06-15 and 2.6 dated 2022-07-13

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New package FDboost with initial version 1.1-0
Package: FDboost
Title: Boosting Functional Regression Models
Version: 1.1-0
Date: 2022-06-14
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Depends: R (>= 3.5.0), mboost (>= 2.9-0)
Imports: methods, graphics, grDevices, utils, stats, Matrix, gamboostLSS (>= 2.0-0), stabs, mgcv, MASS, zoo
Suggests: fda, fields, ggplot2, maps, mapdata, knitr, refund, testthat
License: GPL-2
Packaged: 2022-07-13 09:34:57 UTC; david
Encoding: UTF-8
BugReports: https://github.com/boost-R/FDboost/issues
URL: https://github.com/boost-R/FDboost
VignetteBuilder: knitr
NeedsCompilation: no
Author: Sarah Brockhaus [aut], David Ruegamer [aut, cre], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others [ctb]
Repository: CRAN
Date/Publication: 2022-07-13 12:50:02 UTC

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Package chameleon updated to version 0.2-2 with previous version 0.2-1 dated 2022-07-13

Title: Automatic Colors for Multi-Dimensional Data
Description: Assign distinct colors to arbitrary multi-dimensional data, considering its structure.
Author: Oren Ben-Kiki [aut, cre], Weizmann Institute of Science [cph]
Maintainer: Oren Ben-Kiki <oren@ben-kiki.org>

Diff between chameleon versions 0.2-1 dated 2022-07-13 and 0.2-2 dated 2022-07-13

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Package callr updated to version 3.7.1 with previous version 3.7.0 dated 2021-04-20

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gabor Csardi [aut, cre, cph] , Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package buildmer updated to version 2.6 with previous version 2.5 dated 2022-06-14

Title: Stepwise Elimination and Term Reordering for Mixed-Effects Regression
Description: Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect-selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, the explained deviance, or the F-test of the change in R².
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

Diff between buildmer versions 2.5 dated 2022-06-14 and 2.6 dated 2022-07-13

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Package datamods updated to version 1.3.3 with previous version 1.3.2 dated 2022-05-06

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Zauad Shahreer Abeer [aut], Eduard Szoecs [ctb]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between datamods versions 1.3.2 dated 2022-05-06 and 1.3.3 dated 2022-07-13

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New package ForagingOrg with initial version 0.1.0
Package: ForagingOrg
Title: Organization Measures for Visual Foraging
Version: 0.1.0
Author: Marcos Bella-Fernandez
Maintainer: Marcos Bella-Fernandez <marcosbellafernandez@gmail.com>
Description: Several functions to compute indicators for organization and efficiency in visual foraging, multi-target visual search, and cancellation tasks. The current version of this package includes the following indicators: best-r, mean Inter-target Distance, Percentage Above Optimal (PAO) scan path, and intersections in the scan path. For more detailed descriptions, see Mark et al. (2004) <doi:10.1212/01.WNL.0000131947.08670.D4>.
License: GPL-3
Encoding: UTF-8
Depends: PairViz, TSP
NeedsCompilation: no
Packaged: 2022-07-08 17:27:59 UTC; durie
Repository: CRAN
Date/Publication: 2022-07-13 08:20:02 UTC

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Package chameleon updated to version 0.2-1 with previous version 0.2-0 dated 2021-08-03

Title: Automatic Colors for Multi-Dimensional Data
Description: Assign distinct colors to arbitrary multi-dimensional data, considering its structure.
Author: Oren Ben-Kiki [aut, cre], Weizmann Institute of Science [cph]
Maintainer: Oren Ben-Kiki <oren@ben-kiki.org>

Diff between chameleon versions 0.2-0 dated 2021-08-03 and 0.2-1 dated 2022-07-13

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New package TrenchR with initial version 0.1.0
Package: TrenchR
Title: Tools for Microclimate and Biophysical Ecology
Description: Tools for translating environmental change into organismal response. Microclimate models to vertically scale weather station data to organismal heights. The biophysical modeling tools include both general models for heat flows and specific models to predict body temperatures for a variety of ectothermic taxa. Additional functions model and temporally partition air and soil temperatures and solar radiation. Utility functions estimate the organismal and environmental parameters needed for biophysical ecology. 'TrenchR' focuses on relatively simple and modular functions so users can create transparent and flexible biophysical models. Many functions are derived from Gates (1980) <doi:10.1007/978-1-4612-6024-0> and Campbell and Norman (1988) <isbn:9780387949376>.
Version: 0.1.0
Maintainer: Lauren Buckley <lbuckley@uw.edu>
License: MIT + file LICENSE
Date: 2022-07-07
URL: https://trenchproject.github.io/, https://github.com/trenchproject/TrenchR
BugReports: https://github.com/trenchproject/TrenchR/issues
VignetteBuilder: knitr
Depends: R (>= 3.3.1)
Imports: deSolve, msm, Rdpack (>= 0.7), stats, zoo
Suggests: covr, knitr, rmarkdown, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-07-07 20:32:39 UTC; lbuckley
Author: Lauren Buckley [aut, cre] , Bryan Briones Ortiz [aut], Isaac Caruso [aut], Aji John [aut] , Ofir Levy [aut] , Abigail Meyer [aut], Eric Riddell [aut] , Yutaro Sakairi [aut], Juniper Simonis [aut] , Brian Helmuth [ctb]
Repository: CRAN
Date/Publication: 2022-07-13 07:30:06 UTC

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New package renderthis with initial version 0.1.0
Package: renderthis
Title: Render Slides to Different Formats
Version: 0.1.0
Description: Render slides to different formats, including 'html', 'pdf', 'png', 'gif', 'pptx', and 'mp4', as well as a 'social' output, a 'png' of the first slide re-sized for sharing on social media.
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Imports: cli (>= 3.0.0), digest, fs, jsonlite, magick (>= 2.7.1), pagedown, progress, rmarkdown, withr, xaringan, zip
Suggests: av, chromote, knitr, lifecycle, officer, pdftools, testthat (>= 3.0.0), webshot2
Config/Needs/website: xaringanExtra
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-07 15:36:56 UTC; jhelvy
Author: John Helveston [aut, cre, cph] , Garrick Aden-Buie [aut] , Bryan Shalloway [ctb]
Maintainer: John Helveston <john.helveston@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-13 07:30:02 UTC

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Package tidymodels updated to version 1.0.0 with previous version 0.2.0 dated 2022-03-19

Title: Easily Install and Load the 'Tidymodels' Packages
Description: The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
Author: Max Kuhn [aut, cre] , Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between tidymodels versions 0.2.0 dated 2022-03-19 and 1.0.0 dated 2022-07-13

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 MD5                       |   10 -
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Package Rwhois updated to version 1.0.12 with previous version 1.0.11 dated 2022-07-02

Title: WHOIS Server Querying
Description: Queries data from WHOIS servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>

Diff between Rwhois versions 1.0.11 dated 2022-07-02 and 1.0.12 dated 2022-07-13

 DESCRIPTION   |    8 ++++----
 MD5           |    6 +++---
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 README.md     |    2 +-
 4 files changed, 10 insertions(+), 16 deletions(-)

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Package RGMM updated to version 1.1.0 with previous version 0.1.0 dated 2022-06-24

Title: Robust Mixture Model
Description: Algorithms for estimating robustly the parameters of a Gaussian, Student, or Laplace Mixture Model.
Author: Antoine Godichon-Baggioni [aut, cre, cph], Stephane Robin [aut]
Maintainer: Antoine Godichon-Baggioni <antoine.godichon_baggioni@upmc.fr>

Diff between RGMM versions 0.1.0 dated 2022-06-24 and 1.1.0 dated 2022-07-13

 DESCRIPTION                     |    9 
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Package lessR updated to version 4.2.2 with previous version 4.2.0 dated 2022-06-03

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics, and comprehensive summary statistics via pivot tables. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.2.0 dated 2022-06-03 and 4.2.2 dated 2022-07-13

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Package gtExtras updated to version 0.4.1 with previous version 0.4.0 dated 2022-06-09

Title: Extending 'gt' for Beautiful HTML Tables
Description: Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.
Author: Thomas Mock [aut, cre, cph], Daniel D. Sjoberg [ctb]
Maintainer: Thomas Mock <j.thomasmock@gmail.com>

Diff between gtExtras versions 0.4.0 dated 2022-06-09 and 0.4.1 dated 2022-07-13

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More information about gtExtras at CRAN
Permanent link

Package yamlet updated to version 0.9.2 with previous version 0.8.7 dated 2022-04-18

Title: Versatile Curation of Table Metadata
Description: A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate.data.frame and ?modify.default. See ?read_yamlet ?write_yamlet, ?io_csv, and ?ggplot.decorated.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between yamlet versions 0.8.7 dated 2022-04-18 and 0.9.2 dated 2022-07-13

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More information about yamlet at CRAN
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Package upsetjs updated to version 1.11.1 with previous version 1.11.0 dated 2022-05-11

Title: 'HTMLWidget' Wrapper of 'UpSet.js' for Exploring Large Set Intersections
Description: 'UpSet.js' is a re-implementation of 'UpSetR' to create interactive set visualizations for more than three sets. This is a 'htmlwidget' wrapper around the 'JavaScript' library 'UpSet.js'.
Author: Samuel Gratzl [aut, cre]
Maintainer: Samuel Gratzl <sam@sgratzl.com>

Diff between upsetjs versions 1.11.0 dated 2022-05-11 and 1.11.1 dated 2022-07-13

 DESCRIPTION                    |   10 +-
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 inst/doc/venn.html             |   37 +++++---
 10 files changed, 229 insertions(+), 180 deletions(-)

More information about upsetjs at CRAN
Permanent link

Package OpasnetUtils (with last version 1.3) was removed from CRAN

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

2017-06-30 1.3
2015-06-03 1.2.0
2014-09-01 1.1.0
2013-07-17 1.0.0

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Package text2sdg (with last version 0.1.3) was removed from CRAN

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2022-05-31 0.1.3
2021-11-30 0.1.2
2021-11-07 0.1.1

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Package portalr (with last version 0.3.9) was removed from CRAN

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2021-12-03 0.3.9
2021-05-23 0.3.8
2021-01-27 0.3.7
2020-11-23 0.3.6
2020-08-28 0.3.5

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2022-05-21 0.3.2
2022-02-28 0.3.1
2022-02-12 0.3.0
2022-01-20 0.2.4
2022-01-19 0.2.3
2021-09-20 0.2.2

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Package mRpostman (with last version 1.0.0) was removed from CRAN

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2020-11-30 1.0.0
2020-09-16 0.9.0.0
2020-04-20 0.3.1
2019-10-17 0.3.0
2019-08-22 0.2.0

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Package skpr (with last version 1.1.4) was removed from CRAN

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2022-04-08 1.1.4
2021-08-17 1.0.0
2021-05-11 0.66.5
2020-03-04 0.64.2
2019-12-02 0.62.0
2019-09-19 0.61.3
2018-11-13 0.57.0
2018-09-21 0.56.1
2018-08-08 0.54.3
2018-07-13 0.53.4
2018-07-11 0.53.3
2018-05-30 0.49.1
2018-05-16 0.49.0
2018-03-26 0.47.5
2018-01-22 0.45.2
2017-10-20 0.40.1
2017-10-15 0.39.0
2017-08-17 0.35.1

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Package BullsEyeR (with last version 0.2.0) was removed from CRAN

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2017-12-21 0.2.0
2017-12-11 0.1.0

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Package mptools (with last version 1.0.1) was removed from CRAN

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2016-02-21 1.0.1

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Package arabicStemR (with last version 1.2) was removed from CRAN

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2017-02-07 1.2
2016-06-04 1.0

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