Wed, 18 May 2022

Package qrjoint updated to version 2.0-6 with previous version 2.0-3 dated 2019-01-25

Title: Joint Estimation in Linear Quantile Regression
Description: Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
Author: Surya Tokdar <surya.tokdar@duke.edu> and Erika Cunningham <erika.ball@duke.edu>
Maintainer: Surya Tokdar <surya.tokdar@duke.edu>

Diff between qrjoint versions 2.0-3 dated 2019-01-25 and 2.0-6 dated 2022-05-18

 DESCRIPTION            |   12 +-
 MD5                    |   10 -
 NAMESPACE              |    2 
 R/qrjoint.R            |   10 -
 man/predict.qrjoint.Rd |    5 
 src/qrjoint.c          |  248 +++++++++++++++++++++++++------------------------
 6 files changed, 145 insertions(+), 142 deletions(-)

More information about qrjoint at CRAN
Permanent link

Package RTL updated to version 1.1.0 with previous version 1.0.0 dated 2022-02-11

Title: Risk Tool Library - Trading, Risk, 'Analytics' for Commodities
Description: A toolkit for Commodities 'analytics', risk management and trading professionals. Includes functions for API calls to 'Morningstar Commodities' and 'Genscape'.
Author: Philippe Cote [aut, cre], Nima Safaian [aut]
Maintainer: Philippe Cote <pcote@ualberta.ca>

Diff between RTL versions 1.0.0 dated 2022-02-11 and 1.1.0 dated 2022-05-18

 RTL-1.0.0/RTL/R/ir_df_us.R                 |only
 RTL-1.0.0/RTL/data/usSwapIR.rda            |only
 RTL-1.0.0/RTL/data/usSwapIRdef.rda         |only
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 RTL-1.1.0/RTL/DESCRIPTION                  |   22 +-
 RTL-1.1.0/RTL/MD5                          |  100 ++++-----
 RTL-1.1.0/RTL/NAMESPACE                    |    6 
 RTL-1.1.0/RTL/NEWS.md                      |   28 ++
 RTL-1.1.0/RTL/R/RTL-package.R              |    2 
 RTL-1.1.0/RTL/R/RcppExports.R              |only
 RTL-1.1.0/RTL/R/chart_zscore.R             |   11 -
 RTL-1.1.0/RTL/R/data.R                     |  318 ++++++++++++++---------------
 RTL-1.1.0/RTL/R/morningstar.R              |   48 ----
 RTL-1.1.0/RTL/R/npv.R                      |   79 +++----
 RTL-1.1.0/RTL/R/promptBeta.R               |  155 +++++++-------
 RTL-1.1.0/RTL/R/simGBM.R                   |   27 +-
 RTL-1.1.0/RTL/R/simOU.R                    |   38 ++-
 RTL-1.1.0/RTL/R/simOUJ.R                   |   63 ++++-
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 RTL-1.1.0/RTL/R/tradeStats.R               |   11 -
 RTL-1.1.0/RTL/README.md                    |   10 
 RTL-1.1.0/RTL/data/cancrudeassays.rda      |binary
 RTL-1.1.0/RTL/data/cancrudeassayssum.rda   |binary
 RTL-1.1.0/RTL/data/crudeassaysBP.rda       |binary
 RTL-1.1.0/RTL/data/crudeassaysXOM.rda      |binary
 RTL-1.1.0/RTL/data/crudes.rda              |binary
 RTL-1.1.0/RTL/data/dflong.rda              |binary
 RTL-1.1.0/RTL/data/dfwide.rda              |binary
 RTL-1.1.0/RTL/data/eiaStocks.rda           |binary
 RTL-1.1.0/RTL/data/eiaStorageCap.rda       |binary
 RTL-1.1.0/RTL/data/eurodollar.rda          |binary
 RTL-1.1.0/RTL/data/expiry_table.rda        |binary
 RTL-1.1.0/RTL/data/fizdiffs.rda            |binary
 RTL-1.1.0/RTL/data/fxfwd.rda               |binary
 RTL-1.1.0/RTL/data/planets.rda             |binary
 RTL-1.1.0/RTL/data/spot2futConvergence.rda |binary
 RTL-1.1.0/RTL/data/spot2futCurve.rda       |binary
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 RTL-1.1.0/RTL/data/usSwapCurves.rda        |binary
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 RTL-1.1.0/RTL/man/eiaStorageCap.Rd         |   32 +-
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 RTL-1.1.0/RTL/man/simOU.Rd                 |    6 
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 58 files changed, 527 insertions(+), 465 deletions(-)

More information about RTL at CRAN
Permanent link

Package soilDB updated to version 2.7.0 with previous version 2.6.15 dated 2022-04-14

Title: Soil Database Interface
Description: A collection of functions for reading data from USDA-NCSS soil databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.6.15 dated 2022-04-14 and 2.7.0 dated 2022-05-18

 soilDB-2.6.15/soilDB/R/SDA_coecoclass.R                            |only
 soilDB-2.6.15/soilDB/R/SDA_hydric.R                                |only
 soilDB-2.6.15/soilDB/R/SDA_interpretations.R                       |only
 soilDB-2.6.15/soilDB/R/SDA_muaggatt.R                              |only
 soilDB-2.6.15/soilDB/R/SDA_pmgroupname.R                           |only
 soilDB-2.6.15/soilDB/R/SDA_properties.R                            |only
 soilDB-2.6.15/soilDB/R/mapunit_geom_by_ll_bbox.R                   |only
 soilDB-2.6.15/soilDB/man/mapunit_geom_by_ll_bbox.Rd                |only
 soilDB-2.6.15/soilDB/tests/testthat/test-SDA_coecoclass.R          |only
 soilDB-2.6.15/soilDB/tests/testthat/test-SDA_hydric.R              |only
 soilDB-2.6.15/soilDB/tests/testthat/test-SDA_interpretations.R     |only
 soilDB-2.6.15/soilDB/tests/testthat/test-SDA_muaggatt.R            |only
 soilDB-2.6.15/soilDB/tests/testthat/test-SDA_pmgroupname.R         |only
 soilDB-2.6.15/soilDB/tests/testthat/test-SDA_properties.R          |only
 soilDB-2.7.0/soilDB/DESCRIPTION                                    |   13 
 soilDB-2.7.0/soilDB/MD5                                            |  398 +-
 soilDB-2.7.0/soilDB/NAMESPACE                                      |   27 
 soilDB-2.7.0/soilDB/NEWS.md                                        |   29 
 soilDB-2.7.0/soilDB/R/AAAA.R                                       |   50 
 soilDB-2.7.0/soilDB/R/ISSR800.R                                    |  370 +
 soilDB-2.7.0/soilDB/R/KSSL_VG_model.R                              |  232 -
 soilDB-2.7.0/soilDB/R/OSDquery.R                                   |  296 -
 soilDB-2.7.0/soilDB/R/ROSETTA.R                                    |  490 +-
 soilDB-2.7.0/soilDB/R/SDA-spatial.R                                |  934 ++--
 soilDB-2.7.0/soilDB/R/SDA_query.R                                  |  632 +--
 soilDB-2.7.0/soilDB/R/SDA_utils.R                                  |   66 
 soilDB-2.7.0/soilDB/R/SSURGO_spatial_query.R                       |  170 
 soilDB-2.7.0/soilDB/R/SoilDataViewer.R                             |  236 -
 soilDB-2.7.0/soilDB/R/WCS-utils.R                                  | 1050 ++---
 soilDB-2.7.0/soilDB/R/createSSURGO.R                               |only
 soilDB-2.7.0/soilDB/R/createStaticNASIS.R                          |  354 -
 soilDB-2.7.0/soilDB/R/dbQueryNASIS.R                               |  158 
 soilDB-2.7.0/soilDB/R/estimateColorMixture.R                       |  142 
 soilDB-2.7.0/soilDB/R/fetchEDIT_tools.R                            |  326 -
 soilDB-2.7.0/soilDB/R/fetchHenry.R                                 |  902 ++--
 soilDB-2.7.0/soilDB/R/fetchKSSL.R                                  |  912 ++--
 soilDB-2.7.0/soilDB/R/fetchLDM.R                                   |   17 
 soilDB-2.7.0/soilDB/R/fetchNASIS.R                                 |  262 -
 soilDB-2.7.0/soilDB/R/fetchNASISLabData.R                          |  146 
 soilDB-2.7.0/soilDB/R/fetchNASISWebReport.R                        |  809 ++--
 soilDB-2.7.0/soilDB/R/fetchNASIS_components.R                      |   39 
 soilDB-2.7.0/soilDB/R/fetchNASIS_pedons.R                          |    2 
 soilDB-2.7.0/soilDB/R/fetchNASIS_report.R                          |  720 +--
 soilDB-2.7.0/soilDB/R/fetchNOAA.R                                  |  264 -
 soilDB-2.7.0/soilDB/R/fetchOSD.R                                   |  796 ++--
 soilDB-2.7.0/soilDB/R/fetchPedonPC.R                               |  232 -
 soilDB-2.7.0/soilDB/R/fetchRaCA.R                                  |  402 --
 soilDB-2.7.0/soilDB/R/fetchSCAN.R                                  |    2 
 soilDB-2.7.0/soilDB/R/fetchSDA_spatial.R                           |  574 +-
 soilDB-2.7.0/soilDB/R/fetchSoilGrids.R                             |  400 +-
 soilDB-2.7.0/soilDB/R/fetchVegdata.R                               |  122 
 soilDB-2.7.0/soilDB/R/getHzErrorsNASIS.R                           |   90 
 soilDB-2.7.0/soilDB/R/getHzErrorsPedonPC.R                         |   44 
 soilDB-2.7.0/soilDB/R/get_NASIS_table_key_by_name.R                |  124 
 soilDB-2.7.0/soilDB/R/get_NASIS_table_name_by_purpose.R            |  460 +-
 soilDB-2.7.0/soilDB/R/get_OSD.R                                    |  444 +-
 soilDB-2.7.0/soilDB/R/get_SDA_coecoclass.R                         |only
 soilDB-2.7.0/soilDB/R/get_SDA_cosurfmorph.R                        |only
 soilDB-2.7.0/soilDB/R/get_SDA_hydric.R                             |only
 soilDB-2.7.0/soilDB/R/get_SDA_interpretation.R                     |only
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 soilDB-2.7.0/soilDB/R/get_SDA_pmgroupname.R                        |only
 soilDB-2.7.0/soilDB/R/get_SDA_property.R                           |only
 soilDB-2.7.0/soilDB/R/get_SSURGO_utils.R                           |only
 soilDB-2.7.0/soilDB/R/get_colors_from_pedon_db.R                   |  202 -
 soilDB-2.7.0/soilDB/R/get_component_from_GDB.R                     | 1126 ++---
 soilDB-2.7.0/soilDB/R/get_component_from_SDA.R                     | 1774 ++++-----
 soilDB-2.7.0/soilDB/R/get_concentrations_from_NASIS_db.R           |  108 
 soilDB-2.7.0/soilDB/R/get_cosoilmoist_from_LIMS.R                  |    4 
 soilDB-2.7.0/soilDB/R/get_cosoilmoist_from_NASIS.R                 |  158 
 soilDB-2.7.0/soilDB/R/get_cosoilmoist_from_SDA.R                   |   84 
 soilDB-2.7.0/soilDB/R/get_extended_data_from_NASIS_db.R            |   27 
 soilDB-2.7.0/soilDB/R/get_extended_data_from_pedon_db.R            |  296 -
 soilDB-2.7.0/soilDB/R/get_hz_data_from_NASIS_db.R                  |  182 
 soilDB-2.7.0/soilDB/R/get_hz_data_from_pedon_db.R                  |  178 
 soilDB-2.7.0/soilDB/R/get_lablayer_data_from_NASIS_db.R            |  122 
 soilDB-2.7.0/soilDB/R/get_labpedon_data_from_NASIS_db.R            |   82 
 soilDB-2.7.0/soilDB/R/get_mapunit_from_NASIS.R                     |  443 +-
 soilDB-2.7.0/soilDB/R/get_phfmp_from_NASIS_db.R                    |   66 
 soilDB-2.7.0/soilDB/R/get_phlabresults_data_from_NASIS_db.R        |  236 -
 soilDB-2.7.0/soilDB/R/get_projectmapunit_from_NASIS.R              |  100 
 soilDB-2.7.0/soilDB/R/get_site_data_from_NASIS_db.R                |  362 -
 soilDB-2.7.0/soilDB/R/get_site_data_from_pedon_db.R                |  198 -
 soilDB-2.7.0/soilDB/R/get_soilseries_from_NASIS.R                  |  203 -
 soilDB-2.7.0/soilDB/R/get_text_notes_from_NASIS_db.R               |  366 -
 soilDB-2.7.0/soilDB/R/get_veg_data_from_NASIS_db.R                 |  188 
 soilDB-2.7.0/soilDB/R/get_veg_from_AK_Site.R                       |   88 
 soilDB-2.7.0/soilDB/R/get_veg_from_MT_veg_db.R                     |   84 
 soilDB-2.7.0/soilDB/R/get_veg_from_NPS_PLOTS_db.R                  |   78 
 soilDB-2.7.0/soilDB/R/get_veg_other_from_MT_veg_db.R               |   84 
 soilDB-2.7.0/soilDB/R/get_veg_species_from_MT_veg_db.R             |   80 
 soilDB-2.7.0/soilDB/R/get_vegplot_data_from_NASIS_db.R             |  925 ++--
 soilDB-2.7.0/soilDB/R/mix_and_clean_colors.R                       |  166 
 soilDB-2.7.0/soilDB/R/mukey-WCS.R                                  |  380 +
 soilDB-2.7.0/soilDB/R/openNASISchannel.R                           |  166 
 soilDB-2.7.0/soilDB/R/parseWebReport.R                             |  192 
 soilDB-2.7.0/soilDB/R/seriesExtent.R                               |  299 -
 soilDB-2.7.0/soilDB/R/siblings.R                                   |  264 -
 soilDB-2.7.0/soilDB/R/simplfyFragmentData.R                        |  541 +-
 soilDB-2.7.0/soilDB/R/simplifyArtifactData.R                       |  328 -
 soilDB-2.7.0/soilDB/R/simplifyColorData.R                          |  394 +-
 soilDB-2.7.0/soilDB/R/soilDB-package.R                             |  260 -
 soilDB-2.7.0/soilDB/R/taxaExtent.R                                 |  612 +--
 soilDB-2.7.0/soilDB/R/uncode.R                                     |   54 
 soilDB-2.7.0/soilDB/R/utils.R                                      | 1966 +++++-----
 soilDB-2.7.0/soilDB/R/waterDayYear.R                               |  118 
 soilDB-2.7.0/soilDB/build/partial.rdb                              |binary
 soilDB-2.7.0/soilDB/data/gopheridge.rda                            |binary
 soilDB-2.7.0/soilDB/data/loafercreek.rda                           |binary
 soilDB-2.7.0/soilDB/data/mineralKing.rda                           |binary
 soilDB-2.7.0/soilDB/data/us_ss_timeline.rda                        |binary
 soilDB-2.7.0/soilDB/inst/CITATION                                  |    4 
 soilDB-2.7.0/soilDB/inst/WORDLIST                                  | 1244 +++---
 soilDB-2.7.0/soilDB/man/ISSR800.wcs.Rd                             |   95 
 soilDB-2.7.0/soilDB/man/KSSL_VG_model.Rd                           |  122 
 soilDB-2.7.0/soilDB/man/NASISDomainsAsFactor.Rd                    |   44 
 soilDB-2.7.0/soilDB/man/OSDquery.Rd                                |  204 -
 soilDB-2.7.0/soilDB/man/ROSETTA.Rd                                 |  188 
 soilDB-2.7.0/soilDB/man/SCAN_SNOTEL_metadata.Rd                    |   48 
 soilDB-2.7.0/soilDB/man/SDA_query.Rd                               |  170 
 soilDB-2.7.0/soilDB/man/SDA_spatialQuery.Rd                        |  373 -
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 soilDB-2.7.0/soilDB/man/createStaticNASIS.Rd                       |   72 
 soilDB-2.7.0/soilDB/man/dbConnectNASIS.Rd                          |   44 
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 soilDB-2.7.0/soilDB/man/fetchGDB.Rd                                |  156 
 soilDB-2.7.0/soilDB/man/fetchHenry.Rd                              |  182 
 soilDB-2.7.0/soilDB/man/fetchKSSL.Rd                               |  286 -
 soilDB-2.7.0/soilDB/man/fetchNASIS.Rd                              |  196 
 soilDB-2.7.0/soilDB/man/fetchNASISLabData.Rd                       |   66 
 soilDB-2.7.0/soilDB/man/fetchNASISWebReport.Rd                     |  224 -
 soilDB-2.7.0/soilDB/man/fetchOSD.Rd                                |  270 -
 soilDB-2.7.0/soilDB/man/fetchPedonPC.Rd                            |   70 
 soilDB-2.7.0/soilDB/man/fetchRaCA.Rd                               |  148 
 soilDB-2.7.0/soilDB/man/fetchSDA.Rd                                |  240 -
 soilDB-2.7.0/soilDB/man/fetchSDA_spatial.Rd                        |  151 
 soilDB-2.7.0/soilDB/man/fetchSoilGrids.Rd                          |  158 
 soilDB-2.7.0/soilDB/man/fetchVegdata.Rd                            |  162 
 soilDB-2.7.0/soilDB/man/getHzErrorsNASIS.Rd                        |   50 
 soilDB-2.7.0/soilDB/man/get_EDIT_ecoclass_by_geoUnit.Rd            |   54 
 soilDB-2.7.0/soilDB/man/get_NASIS_table_key_by_name.Rd             |   60 
 soilDB-2.7.0/soilDB/man/get_NASIS_table_name_by_purpose.Rd         |   82 
 soilDB-2.7.0/soilDB/man/get_NOAA_GHCND.Rd                          |   76 
 soilDB-2.7.0/soilDB/man/get_NOAA_stations_nearXY.Rd                |   70 
 soilDB-2.7.0/soilDB/man/get_OSD.Rd                                 |   86 
 soilDB-2.7.0/soilDB/man/get_SDA_coecoclass.Rd                      |   84 
 soilDB-2.7.0/soilDB/man/get_SDA_cosurfmorph.Rd                     |only
 soilDB-2.7.0/soilDB/man/get_SDA_hydric.Rd                          |   96 
 soilDB-2.7.0/soilDB/man/get_SDA_interpretation.Rd                  | 1376 +++---
 soilDB-2.7.0/soilDB/man/get_SDA_muaggatt.Rd                        |   58 
 soilDB-2.7.0/soilDB/man/get_SDA_pmgroupname.Rd                     |   80 
 soilDB-2.7.0/soilDB/man/get_SDA_property.Rd                        |  310 -
 soilDB-2.7.0/soilDB/man/get_SDV_legend_elements.Rd                 |   56 
 soilDB-2.7.0/soilDB/man/get_colors_from_pedon_db.Rd                |   50 
 soilDB-2.7.0/soilDB/man/get_comonth_from_NASIS_db.Rd               |  102 
 soilDB-2.7.0/soilDB/man/get_component_data_from_NASIS_db.Rd        |  210 -
 soilDB-2.7.0/soilDB/man/get_cosoilmoist_from_NASIS.Rd              |  122 
 soilDB-2.7.0/soilDB/man/get_extended_data_from_NASIS_db.Rd         |  108 
 soilDB-2.7.0/soilDB/man/get_extended_data_from_pedon_db.Rd         |   50 
 soilDB-2.7.0/soilDB/man/get_hz_data_from_NASIS_db.Rd               |   78 
 soilDB-2.7.0/soilDB/man/get_hz_data_from_pedon_db.Rd               |   58 
 soilDB-2.7.0/soilDB/man/get_lablayer_data_from_NASIS_db.Rd         |   64 
 soilDB-2.7.0/soilDB/man/get_labpedon_data_from_NASIS_db.Rd         |   72 
 soilDB-2.7.0/soilDB/man/get_mapunit_from_NASIS.Rd                  |   92 
 soilDB-2.7.0/soilDB/man/get_site_data_from_NASIS_db.Rd             |   82 
 soilDB-2.7.0/soilDB/man/get_site_data_from_pedon_db.Rd             |   50 
 soilDB-2.7.0/soilDB/man/get_soilseries_from_NASIS.Rd               |   66 
 soilDB-2.7.0/soilDB/man/get_text_notes_from_NASIS_db.Rd            |  110 
 soilDB-2.7.0/soilDB/man/get_veg_data_from_NASIS_db.Rd              |   76 
 soilDB-2.7.0/soilDB/man/get_veg_from_AK_Site.Rd                    |   50 
 soilDB-2.7.0/soilDB/man/get_veg_from_MT_veg_db.Rd                  |   52 
 soilDB-2.7.0/soilDB/man/get_veg_from_NPS_PLOTS_db.Rd               |   54 
 soilDB-2.7.0/soilDB/man/get_veg_other_from_MT_veg_db.Rd            |   52 
 soilDB-2.7.0/soilDB/man/get_veg_species_from_MT_veg_db.Rd          |   52 
 soilDB-2.7.0/soilDB/man/make_EDIT_service_URL.Rd                   |  192 
 soilDB-2.7.0/soilDB/man/mukey.wcs.Rd                               |  111 
 soilDB-2.7.0/soilDB/man/processSDA_WKT.Rd                          |   80 
 soilDB-2.7.0/soilDB/man/seriesExtent.Rd                            |  131 
 soilDB-2.7.0/soilDB/man/siblings.Rd                                |  132 
 soilDB-2.7.0/soilDB/man/simplifyFragmentData.Rd                    |  134 
 soilDB-2.7.0/soilDB/man/soilDB-package.Rd                          |   46 
 soilDB-2.7.0/soilDB/man/taxaExtent.Rd                              |  449 +-
 soilDB-2.7.0/soilDB/man/uncode.Rd                                  |    2 
 soilDB-2.7.0/soilDB/man/waterDayYear.Rd                            |   86 
 soilDB-2.7.0/soilDB/tests/testthat/test-ISSR800.R                  |  157 
 soilDB-2.7.0/soilDB/tests/testthat/test-OSDquery.R                 |   74 
 soilDB-2.7.0/soilDB/tests/testthat/test-ROSETTA.R                  |  253 -
 soilDB-2.7.0/soilDB/tests/testthat/test-SDA_query.R                |  397 +-
 soilDB-2.7.0/soilDB/tests/testthat/test-SoilDataViewer.R           |   52 
 soilDB-2.7.0/soilDB/tests/testthat/test-fetchEDIT_tools.R          |   98 
 soilDB-2.7.0/soilDB/tests/testthat/test-fetchHenry.R               |  452 +-
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Package nplplot updated to version 4.6 with previous version 4.5 dated 2014-05-01

Title: Plotting Linkage and Association Results
Description: Provides routines for plotting linkage and association results along a chromosome, with marker names displayed along the top border. There are also routines for generating BED and BedGraph custom tracks for viewing in the UCSC genome browser. The data reformatting program Mega2 uses this package to plot output from a variety of programs.
Author: Robert V Baron <rvb5@pitt.edu>, Nandita Mukhopadhyay, Xinyu Tang, Daniel E. Weeks <weeks@pitt.edu>
Maintainer: Daniel E. Weeks <weeks@pitt.edu>

Diff between nplplot versions 4.5 dated 2014-05-01 and 4.6 dated 2022-05-18

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Package MatchIt updated to version 4.4.0 with previous version 4.3.4 dated 2022-03-08

Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)
Author: Daniel Ho [aut] , Kosuke Imai [aut] , Gary King [aut] , Elizabeth Stuart [aut] , Alex Whitworth [ctb], Noah Greifer [ctb, cre, aut]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between MatchIt versions 4.3.4 dated 2022-03-08 and 4.4.0 dated 2022-05-18

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Permanent link

Package IDSL.UFAx updated to version 1.2 with previous version 1.1 dated 2022-03-22

Title: Exhaustive Chemical Enumeration for United Formula Annotation
Description: A pipeline to annotate a number of peaks from the IDSL.IPA peaklists using an exhaustive chemical enumeration-based approach. This package can perform elemental composition using following 15 elements : C, B, Br, Cl, K, S, Se, Si, N, H, As, F, I, Na, O, and P.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

Diff between IDSL.UFAx versions 1.1 dated 2022-03-22 and 1.2 dated 2022-05-18

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Package GerminaR updated to version 2.1.4 with previous version 2.1.3 dated 2021-10-10

Title: Indices and Graphics for Assess Seed Germination Process
Description: A collection of different indices and visualization techniques for evaluate the seed germination process in ecophysiological studies (Lozano-Isla et al. 2019) <doi:10.1111/1440-1703.1275>.
Author: Flavio Lozano-Isla [aut, cre] , Omar Benites Alfaro [aut] , Marcelo F. Pompelli [aut, ths] , Denise Garcia de Santana [aut], Marli A. Ranal [aut], Federal University of Pernambuco [cph] , Federal Rural University of Pernambuco [cph] , Inkaverse [ctb]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

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Package brmsmargins updated to version 0.2.0 with previous version 0.1.1 dated 2021-12-16

Title: Bayesian Marginal Effects for 'brms' Models
Description: Calculate Bayesian marginal effects, average marginal effects, and marginal coefficients (also called population averaged coefficients) for models fit using the 'brms' package including fixed effects, mixed effects, and location scale models. These are based on marginal predictions that integrate out random effects if necessary (see for example <doi:10.1186/s12874-015-0046-6> and <doi:10.1111/biom.12707>).
Author: Joshua F. Wiley [aut, cre] , Donald Hedeker [aut]
Maintainer: Joshua F. Wiley <jwiley.psych@gmail.com>

Diff between brmsmargins versions 0.1.1 dated 2021-12-16 and 0.2.0 dated 2022-05-18

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Package dipm updated to version 1.7 with previous version 1.6 dated 2022-03-10

Title: Depth Importance in Precision Medicine (DIPM) Method
Description: An implementation of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.
Author: Cai Li [aut, cre], Victoria Chen [aut], Heping Zhang [aut]
Maintainer: Cai Li <cli9@ncsu.edu>

Diff between dipm versions 1.6 dated 2022-03-10 and 1.7 dated 2022-05-18

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More information about dipm at CRAN
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Package BiocManager updated to version 1.30.18 with previous version 1.30.17 dated 2022-04-21

Title: Access the Bioconductor Project Package Repository
Description: A convenient tool to install and update Bioconductor packages.
Author: Martin Morgan [aut] , Marcel Ramos [ctb, cre]
Maintainer: Marcel Ramos <marcel.ramos@roswellpark.org>

Diff between BiocManager versions 1.30.17 dated 2022-04-21 and 1.30.18 dated 2022-05-18

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Permanent link

New package markets with initial version 1.0.2
Package: markets
Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Version: 1.0.2
Date: 2022-05-18
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
Language: en-US
URL: https://github.com/pi-kappa-devel/markets/, https://markets.pikappa.eu/
BugReports: https://github.com/pi-kappa-devel/markets/issues
Depends: R (>= 3.5.0)
Imports: bbmle (>= 1.0.20), dplyr (>= 0.7.6), Formula, magrittr (>= 1.5), MASS (>= 7.3-50), methods, rlang (>= 0.2.1), systemfit (>= 1.1), tibble (>= 1.4.2), tidyr (>= 1.0.2), Rcpp, RcppGSL, RcppParallel
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: ggplot2 (>= 3.0.0), knitr (>= 1.20), numDeriv (>= 2016.8.1.1), rmarkdown (>= 1.10), testthat (>= 2.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppGSL
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2022-05-18 11:24:28 UTC; ntelispak
Author: Pantelis Karapanagiotis [aut, cre]
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 19:10:02 UTC

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New package hgwrr with initial version 0.2-1
Package: hgwrr
Title: Hierarchical and Geographically Weighted Regression
Version: 0.2-1
Date: 2022-05-17
Author: Yigong Hu
Maintainer: Yigong Hu <yigong.hu@bristol.ac.uk>
Description: This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.8)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0), stats, utils
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2022-05-18 10:29:52 UTC; hpdell
Repository: CRAN
Date/Publication: 2022-05-18 19:10:07 UTC

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New package EpiInvert with initial version 0.1.0
Package: EpiInvert
Version: 0.1.0
Title: Estimation of Time Varying Reproduction Numbers and Restored Incidence Curves Using Variational Techniques
Maintainer: Luis Alvarez <lalvarez@ulpgc.es>
Description: Estimation, by inverting a renewal equation, of time-varying reproduction numbers and restored incidence curves with festive days and weekly biases corrected as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540>.
URL: https://github.com/lalvarezmat/EpiInvert
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.8.3)
LinkingTo: Rcpp
Suggests: knitr, ggplot2, grid, dplyr, testthat (>= 3.0.0), rmarkdown
Depends: R (>= 2.10)
LazyLoad: yes
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-05-18 13:49:45 UTC; lalva
Author: Luis Alvarez [aut, cre] , Jean-David Morel [ctb] , Jean-Michel Morel [ctb]
Repository: CRAN
Date/Publication: 2022-05-18 19:10:09 UTC

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New package TSdisaggregation with initial version 2.0.0
Package: TSdisaggregation
Title: High-Dimensional Temporal Disaggregation
Version: 2.0.0
Description: First - Generates (potentially high-dimensional) high-frequency and low-frequency series for simulation studies in temporal disaggregation; Second - a toolkit utilizing temporal disaggregation and benchmarking techniques with a low-dimensional matrix of indicator series previously proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third - novel techniques proposed by Mosley, Gibberd and Eckley (2021) <arXiv:2108.05783> for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Imports: Rdpack, zoo, lars, Matrix, withr
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-17 22:52:06 UTC; kaveh
Author: Luke Mosley [aut, cre], Kaveh S. Nobari [aut]
Maintainer: Luke Mosley <l.mosley@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2022-05-18 19:00:05 UTC

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New package smlmkalman with initial version 0.1.0
Package: smlmkalman
Title: Generation and Tracking of Super-Resolution Filamentous Datasets
Version: 0.1.0
Author: Andrew Buist [aut, cre]
Maintainer: Andrew Buist <ab1051@exeter.ac.uk>
Depends: R (>= 4.1.0), stats, spdep, pracma, scales, truncnorm
Description: A pair of functions that allow for the generation and tracking of coordinate data clouds without a time dimension, primarily for use in super-resolution plant micro-tubule image segmentation.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-18 18:33:40 UTC; Andrew
Repository: CRAN
Date/Publication: 2022-05-18 19:00:02 UTC

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Package ROpenCVLite updated to version 4.55.2 with previous version 4.55.0 dated 2022-04-13

Title: Helper Package for Installing OpenCV with R
Description: Installs 'OpenCV' for use by other packages. 'OpenCV' <https://opencv.org/> is library of programming functions mainly aimed at real-time computer vision. This 'Lite' version contains the stable base version of 'OpenCV' and does not contain any of its externally contributed modules.
Author: Simon Garnier [aut, cre] , Muschelli John [ctb]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between ROpenCVLite versions 4.55.0 dated 2022-04-13 and 4.55.2 dated 2022-05-18

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More information about ROpenCVLite at CRAN
Permanent link

Package namedropR updated to version 2.3.3 with previous version 2.3.2 dated 2022-05-09

Title: Create Visual Citations for Presentation Slides
Description: Provides 'visual citations' containing the metadata of a scientific paper and a 'QR' code. A 'visual citation' is a banner containing title, authors, journal and year of a publication. This package can create such banners based on 'BibTeX' and 'BibLaTeX' references and includes a QR code pointing to the 'DOI'. The resulting HTML object or PNG image can be included in a presentation to point the audience to good resources for further reading. Styling is possible via predefined designs or via custom 'CSS'. This package is not intended as replacement for proper reference manager packages, but a tool to enrich scientific presentation slides.
Author: Christian A. Gebhard [aut, cre]
Maintainer: Christian A. Gebhard <christian.gebhard@posteo.de>

Diff between namedropR versions 2.3.2 dated 2022-05-09 and 2.3.3 dated 2022-05-18

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 MD5                              |   30 ++---
 NAMESPACE                        |    1 
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 R/drop_name.R                    |   26 +++-
 R/write_vc.R                     |   51 ++++++--
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 tests/testthat/aesthetic_tests.R |   26 ++--
 tests/testthat/test-drop_html.R  |   40 ------
 tests/testthat/test-drop_name.R  |  211 ++++++++++++++++++++++++------------
 tests/testthat/test-write_vc.R   |  226 ++++++++++++++++++++++++++-------------
 vignettes/use_rmarkdown.Rmd      |    2 
 16 files changed, 426 insertions(+), 249 deletions(-)

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New package ThomasJeffersonUniv with initial version 0.1.0
Package: ThomasJeffersonUniv
Title: Handy Tools for TJU/TJUH Employees
Version: 0.1.0
Date: 2022-05-17
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Description: Functions for admin needs of employees of Thomas Jefferson University and Thomas Jefferson University Hospital, Philadelphia, PA.
License: GPL-2
Encoding: UTF-8
Imports: zoo, timeDate, lubridate
Language: en-US
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2022-05-17 16:51:34 UTC; txz003
Repository: CRAN
Date/Publication: 2022-05-18 16:40:11 UTC

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New package T2Qv with initial version 0.1.0
Package: T2Qv
Title: Control Qualitative Variables
Version: 0.1.0
Maintainer: Wilson Rojas-Preciado <wrojas@utmachala.edu.ec>
Description: Covers k-table control analysis using multivariate control charts for qualitative variables using fundamentals of multiple correspondence analysis and multiple factor analysis. The graphs can be shown in a flat or interactive way, in the same way all the outputs can be shown in an interactive shiny panel.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: shiny, shinydashboardPlus, shinydashboard, shinycssloaders, dplyr, ca, highcharter, stringr, tables, purrr, tidyr, htmltools (>= 0.5.1.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-05-18 02:51:04 UTC; wilso
Author: Wilson Rojas-Preciado [aut, cre], Mauricio Rojas-Campuzano [aut, ctb], Purificacion Galindo-Villardon [aut, ctb], Omar Ruiz-Barzola [aut, ctb]
Repository: CRAN
Date/Publication: 2022-05-18 17:00:04 UTC

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New package shinybrowser with initial version 1.0.0
Package: shinybrowser
Title: Find Out Information About a User's Web Browser in 'Shiny'
Version: 1.0.0
Description: Sometimes it's useful to know some information about your user in a 'Shiny' app. The available information is: browser name (such as 'Chrome' or 'Safari') and version, device type (mobile or desktop), operating system (such as 'Windows' or 'Mac' or 'Android') and version, and browser dimensions.
URL: https://github.com/daattali/shinybrowser https://daattali.com/shiny/shinybrowser-demo/
BugReports: https://github.com/daattali/shinybrowser/issues
Depends: R (>= 3.1.0)
Imports: shiny (>= 1.0.4)
Suggests: shinydisconnect
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-17 16:25:04 UTC; Dean-X1C
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 16:40:02 UTC

More information about shinybrowser at CRAN
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New package ScaleSpikeSlab with initial version 1.0
Package: ScaleSpikeSlab
Title: Scalable Spike-and-Slab
Version: 1.0
Date: 2022-05-13
Description: A scalable Gibbs sampling implementation for high dimensional Bayesian regression with the continuous spike-and-slab prior. Niloy Biswas, Lester Mackey and Xiao-Li Meng, "Scalable Spike-and-Slab" (2022) <arXiv:2204.01668>.
License: GPL (>= 2)
Imports: Rcpp, stats, TruncatedNormal
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2022-05-17 20:40:23 UTC; niloybiswas
Author: Niloy Biswas [aut, cre] , Lester Mackey [aut], Xiao-Li Meng [aut]
Maintainer: Niloy Biswas <niloy_biswas@g.harvard.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-05-18 17:00:07 UTC

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Package rbmi updated to version 1.1.4 with previous version 1.1.3 dated 2022-03-21

Title: Reference Based Multiple Imputation
Description: Implements reference based multiple imputation allowing for the imputation of longitudinal datasets using predefined strategies.
Author: Craig Gower-Page [aut, cre], Alessandro Noci [aut], Marcel Wolbers [ctb], Roche [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>

Diff between rbmi versions 1.1.3 dated 2022-03-21 and 1.1.4 dated 2022-05-18

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 31 files changed, 516 insertions(+), 218 deletions(-)

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New package qbr with initial version 1.0.0
Package: qbr
Title: Access the 'Quickbase' JSON API
Version: 1.0.0
Description: Programmatically access the 'Quickbase' JSON API <https://developer.quickbase.com>. You supply parameters for an API call, 'qbr' delivers an http request to the API endpoint and returns its response. Outputs follow 'tidyverse' philosophy.
URL: https://github.com/BHII-KSC/qbr
BugReports: https://github.com/BHII-KSC/qbr/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr (>= 1.0.9), httr (>= 1.4.3), jsonlite (>= 1.8.0), magrittr (>= 2.0.3), purrr (>= 0.3.4), stringr (>= 1.4.0), tibble (>= 3.1.7)
Suggests: testthat (>= 3.0.0), keyring
NeedsCompilation: no
Packaged: 2022-05-17 17:44:07 UTC; jae1028
Author: John Erdmann [aut, cre], Keene State College [cph, fnd]
Maintainer: John Erdmann <john.erdmann@keene.edu>
Repository: CRAN
Date/Publication: 2022-05-18 16:40:05 UTC

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New package protoshiny with initial version 0.1.0
Package: protoshiny
Title: Interactive Dendrograms for Visualizing Hierarchical Clusters with Prototypes
Version: 0.1.0
Description: Shiny app to interactively visualize hierarchical clustering with prototypes. For details on hierarchical clustering with prototypes, see Bien and Tibshirani (2011) <doi:10.1198/jasa.2011.tm10183>. This package currently launches the application.
License: GPL-3
Encoding: UTF-8
Imports: DT, dynamicTreeCut, methods, protoclust, rare, shiny, shinycssloaders, shinythemes, tools
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-05-17 16:03:30 UTC; andeek
Author: Andee Kaplan [aut, cre], Jacob Bien [aut], Mike Bostock [cph] , Brian Reavis [cph]
Maintainer: Andee Kaplan <andee.kaplan@colostate.edu>
Repository: CRAN
Date/Publication: 2022-05-18 16:30:08 UTC

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New package naive with initial version 1.0.0
Package: naive
Title: Empirical Extrapolation of Time Feature Patterns
Version: 1.0.0
Description: An application for the empirical extrapolation of time features selecting and summarizing the most relevant patterns in time sequences.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: purrr (>= 0.3.4), ggplot2 (>= 3.3.5), readr (>= 2.1.2), lubridate (>= 1.7.10), imputeTS (>= 3.2), fANCOVA (>= 0.6-1), scales (>= 1.1.1), tictoc (>= 1.0.1), modeest (>= 2.4.0), moments (>= 0.14), greybox (>= 1.0.1), Rfast (>= 2.0.6)
URL: https://rpubs.com/giancarlo_vercellino/naive
NeedsCompilation: no
Packaged: 2022-05-18 07:30:24 UTC; gvercellino
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 17:00:02 UTC

More information about naive at CRAN
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New package grwat with initial version 0.0.2
Package: grwat
Title: River Hydrograph Separation and Analysis
Version: 0.0.2
Date: 2022-05-17
Description: River hydrograph separation and daily runoff time series analysis. Provides various filters to separate baseflow and quickflow using methods by Lyne and Hollick (1979) <https://www.researchgate.net/publication/272491803_Stochastic_Time-Variable_Rainfall-Runoff_Modeling>, Chapman (1991) <doi:10.1029/91WR01007>, Boughton (1993) <https://cir.nii.ac.jp/crid/1572543026556977024>, Jakeman and Hornberger (1993) <doi:10.1029/93WR00877>, Chapman and Maxwell (1996) <https://search.informit.org/doi/10.3316/informit.360361071346753>, and Kudelin (1960) <https://www.worldcat.org/title/printsipy-regionalnoi-otsenki-estestvennykh-resursov-podzemnykh-vod/>. Implements advanced separation technique by Rets et al. (2022) <doi:10.1134/S0097807822010146> which involves meteorological data to reveal genetic components of the runoff: ground, rain, thaw and spring (seasonal thaw). High-performance C++17 computation, annually aggregated variables, statistical testing and numerous plotting functions for high-quality visualization.
License: MIT + file LICENSE
URL: https://github.com/tsamsonov/grwat
BugReports: https://github.com/tsamsonov/grwat/issues
Encoding: UTF-8
Language: en-US
LinkingTo: Rcpp
SystemRequirements: pandoc
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 3.3)
Imports: crayon, progress, Rcpp, magrittr, dplyr, tidyr, lubridate, stringr, rlang, grid, ggplot2, knitr, rmarkdown, kableExtra, zoo, trend, mblm
Suggests: ggridges, ggHoriPlot, ggthemes, ncdf4, sf, testthat, stringi
NeedsCompilation: yes
Packaged: 2022-05-17 16:27:50 UTC; tsamsonov
Author: Timofey Samsonov [aut, cre] , Ekaterina Retz [ctb] , Maria Kireeva [ctb]
Maintainer: Timofey Samsonov <iamste@yandex.ru>
Repository: CRAN
Date/Publication: 2022-05-18 16:40:08 UTC

More information about grwat at CRAN
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New package DLPCA with initial version 0.0.2
Package: DLPCA
Title: The Distributed Local PCA Algorithm
Version: 0.0.2
Date: 2022-05-18
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: Algorithm to handle with optimal subset selection for distributed local principal component analysis. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2022-05-18 07:39:17 UTC; s
Author: Guangbao Guo [aut, cre] , Guoqi Qian [aut], Yixiao Liu [aut], Haoyue Song [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-05-18 17:00:10 UTC

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Package DisImpact updated to version 0.0.17 with previous version 0.0.16 dated 2022-02-18

Title: Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups
Description: Implements methods for calculating disproportionate impact: the percentage point gap, proportionality index, and the 80% index. California Community Colleges Chancellor's Office (2017). Percentage Point Gap Method. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>. California Community Colleges Chancellor's Office (2014). Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.
Author: Vinh Nguyen [aut, cre]
Maintainer: Vinh Nguyen <nguyenvq714@gmail.com>

Diff between DisImpact versions 0.0.16 dated 2022-02-18 and 0.0.17 dated 2022-05-18

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Package survAUC updated to version 1.1-0 with previous version 1.0-5 dated 2012-09-04

Title: Estimators of Prediction Accuracy for Time-to-Event Data
Description: Provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.
Author: Sergej Potapov, Werner Adler and Matthias Schmid.
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between survAUC versions 1.0-5 dated 2012-09-04 and 1.1-0 dated 2022-05-18

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Package MiMIR updated to version 1.3 with previous version 1.2 dated 2022-04-15

Title: Metabolomics-Based Models for Imputing Risk
Description: Provides an intuitive framework for ad-hoc statistical analysis of 1H-NMR metabolomics by Nightingale Health. It allows to easily explore new metabolomics measurements assayed by Nightingale Health, comparing the distributions with a large Consortium (BBMRI-nl); project previously published metabolic scores [<doi:10.1016/j.ebiom.2021.103764>, <doi:10.1161/CIRCGEN.119.002610>, <doi:10.1038/s41467-019-11311-9>, <doi:10.7554/eLife.63033>, <doi:10.1161/CIRCULATIONAHA.114.013116>, <doi:10.1007/s00125-019-05001-w>]; and calibrate the metabolic surrogate values to a desired dataset.
Author: Daniele Bizzarri [aut, cre] , Marcel Reinders [aut, ths] , Marian Beekman [aut] , Pieternella Eline Slagboom [aut, ths] , Erik van den Akker [aut, ths]
Maintainer: Daniele Bizzarri <d.bizzarri@lumc.nl>

Diff between MiMIR versions 1.2 dated 2022-04-15 and 1.3 dated 2022-05-18

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 MiMIR-1.3/MiMIR/man/QCprep.Rd                                                   |    2 
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 MiMIR-1.3/MiMIR/man/c21.Rd                                                      |   26 
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Package IDSL.UFA updated to version 1.2 with previous version 1.1 dated 2022-03-22

Title: United Formula Annotation (UFA) for HRMS Data Processing
Description: A pipeline to annotate peaklists from the IDSL.IPA package with molecular formula using an isotopic profile matching approach. The IDSL.UFA pipeline is especially beneficial when MS/MS data channels are not available. The IDSL.UFA package has functions to process user-defined adduct formulas.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

Diff between IDSL.UFA versions 1.1 dated 2022-03-22 and 1.2 dated 2022-05-18

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Permanent link

Package epiDisplay updated to version 3.5.0.2 with previous version 3.5.0.1 dated 2018-05-10

Title: Epidemiological Data Display Package
Description: Package for data exploration and result presentation. Full 'epicalc' package with data management functions is available at '<https://medipe.psu.ac.th/epicalc/>'.
Author: Virasakdi Chongsuvivatwong <cvirasak@medicine.psu.ac.th>
Maintainer: Virasakdi Chongsuvivatwong <cvirasak@medicine.psu.ac.th>

Diff between epiDisplay versions 3.5.0.1 dated 2018-05-10 and 3.5.0.2 dated 2022-05-18

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Package tram updated to version 0.7-1 with previous version 0.7-0 dated 2022-04-01

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <arxiv:1910.09219>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) can be fitted as well.
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between tram versions 0.7-0 dated 2022-04-01 and 0.7-1 dated 2022-05-18

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Package tidywikidatar updated to version 0.5.2 with previous version 0.5.1 dated 2022-03-11

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local 'SQLite' database.
Author: Giorgio Comai [aut, cre, cph] , EDJNet [fnd]
Maintainer: Giorgio Comai <giorgio.comai@cci.tn.it>

Diff between tidywikidatar versions 0.5.1 dated 2022-03-11 and 0.5.2 dated 2022-05-18

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Package sentopics updated to version 0.7.1 with previous version 0.7.0 dated 2022-05-09

Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Description: A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.
Author: Olivier Delmarcelle [aut, cre] , Samuel Borms [ctb] , Chengua Lin [cph] , Yulan He [cph] , Jose Bernardo [cph] , David Robinson [cph] ), Julia Silge [cph] , <https://orcid.org/0000-0002-3671-836X>)
Maintainer: Olivier Delmarcelle <delmarcelle.olivier@gmail.com>

Diff between sentopics versions 0.7.0 dated 2022-05-09 and 0.7.1 dated 2022-05-18

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New package REndo with initial version 2.4.5
Package: REndo
Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Version: 2.4.5
Date: 2022-05-17
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.
License: GPL-3
URL: https://github.com/mmeierer/REndo
BugReports: https://github.com/mmeierer/REndo/issues
NeedsCompilation: yes
Depends: R (>= 3.4)
Imports: methods (>= 3.4), stats (>= 3.4), utils (>= 3.4), Formula (>= 1.2), optimx (>= 2013.8.7), mvtnorm (>= 1.0-8), AER (>= 1.2-5), Matrix (>= 1.2-14), lme4 (>= 1.1-18-1), data.table (>= 1.11.8), corpcor (>= 1.6.9), Rcpp (>= 1.0.3), lmtest (>= 0.9-35)
Suggests: testthat, covr, R.rsp
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
VignetteBuilder: R.rsp
Packaged: 2022-05-17 22:06:14 UTC; patrik
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut]
Maintainer: Raluca Gui <raluca.gui@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 13:40:06 UTC

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New package rdataretriever with initial version 3.1.0
Package: rdataretriever
Title: R Interface to the Data Retriever
Description: Provides an R interface to the Data Retriever <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's command line interface. The Data Retriever automates the tasks of finding, downloading, and cleaning public datasets, and then stores them in a local database.
Version: 3.1.0
BugReports: https://github.com/ropensci/rdataretriever/issues
URL: https://docs.ropensci.org/rdataretriever/ (website), https://github.com/ropensci/rdataretriever/
Depends: R (>= 3.4.0)
Imports: reticulate (>= 1.16), semver
Suggests: testthat (>= 1.0.0), DBI, devtools, RSQLite, RPostgreSQL, knitr, rmarkdown, dbplyr, raster, ggplot2
VignetteBuilder: knitr
SystemRequirements: Python (>= 3.7), retriever (>= 3.0.0) (version must be listed to patch to allow parsing)
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-14 06:33:59 UTC; henrysenyondo
Author: Henry Senyondo [aut, cre] , Daniel McGlinn [aut] , Pranita Sharma [aut] , David J Harris [aut] , Hao Ye [aut] , Shawn Taylor [aut] , Jeroen Ooms [aut] , Francisco Rodriguez-Sanchez Ooms [aut] , Karthik Ram [aut] , Apoorva Pandey [aut] , Harshit Bansa [...truncated...]
Maintainer: Henry Senyondo <henrykironde@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 14:00:02 UTC

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Package NewmanOmics updated to version 1.0.10 with previous version 1.0.9 dated 2022-05-03

Title: Extending the Newman Studentized Range Statistic to Transcriptomics
Description: Extends the classical Newman studentized range statistic in various ways that can be applied to genome-scale transcriptomic or other expression data.
Author: Zachary Abrams, Greg Gershkowitz, Anoushka Joglekar, Chao Liu, Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between NewmanOmics versions 1.0.9 dated 2022-05-03 and 1.0.10 dated 2022-05-18

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New package mlr3verse with initial version 0.2.5
Package: mlr3verse
Title: Easily Install and Load the 'mlr3' Package Family
Version: 0.2.5
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.
License: LGPL-3
URL: https://mlr3verse.mlr-org.com, https://github.com/mlr-org/mlr3verse
BugReports: https://github.com/mlr-org/mlr3verse/issues
Depends: mlr3 (>= 0.12.0), R (>= 3.1.0)
Imports: bbotk, data.table, mlr3cluster, mlr3data, mlr3filters, mlr3fselect (>= 0.6.0), mlr3hyperband, mlr3learners, mlr3misc, mlr3pipelines (>= 0.4.0), mlr3tuning (>= 0.9.0), mlr3tuningspaces (>= 0.1.1), mlr3viz, paradox (>= 0.6.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-18 12:45:36 UTC; michel
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 13:50:02 UTC

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New package LAM with initial version 0.6-19
Package: LAM
Title: Some Latent Variable Models
Version: 0.6-19
Date: 2022-05-17 14:14:12
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: Includes some procedures for latent variable modeling with a particular focus on multilevel data. The 'LAM' package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal(); Longford, 1987; <doi:10.1093/biomet/74.4.817>), a general Metropolis-Hastings algorithm (amh(); Roberts & Rosenthal, 2001, <doi:10.1214/ss/1015346320>) and penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland, 2014; <doi:10.1093/aje/kwt245>).
Depends: R (>= 3.1)
Imports: CDM, graphics, Rcpp, sirt, stats, utils
Suggests: coda, expm, MASS, numDeriv, TAM
Enhances: lavaan, lme4
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/alexanderrobitzsch/LAM, https://sites.google.com/site/alexanderrobitzsch2/software
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-05-17 12:15:23 UTC; sunpn563
Repository: CRAN
Date/Publication: 2022-05-18 13:40:10 UTC

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Package graph4lg updated to version 1.6.0 with previous version 1.4.0 dated 2022-03-08

Title: Build Graphs for Landscape Genetics Analysis
Description: Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://igraph.org/>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et al., 2015) <doi:10.1038/hdy.2014.62>.
Author: Paul Savary [aut, cre] , Gilles Vuidel [ctb] , Tyler Rudolph [ctb]
Maintainer: Paul Savary <psavary@protonmail.com>

Diff between graph4lg versions 1.4.0 dated 2022-03-08 and 1.6.0 dated 2022-05-18

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Package dobin updated to version 1.0.3 with previous version 1.0.2 dated 2020-02-24

Title: Dimension Reduction for Outlier Detection
Description: A dimension reduction technique for outlier detection. DOBIN: a Distance based Outlier BasIs using Neighbours, constructs a set of basis vectors for outlier detection. This is not an outlier detection method; rather it is a pre-processing method for outlier detection. It brings outliers to the fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020) <doi:10.1080/10618600.2020.1807353>.
Author: Sevvandi Kandanaarachchi [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package deeptime updated to version 0.2.2 with previous version 0.2.1 dated 2022-01-10

Title: Plotting Tools for Anyone Working in Deep Time
Description: Extends the functionality of other plotting packages like 'ggplot2' and 'lattice' to help facilitate the plotting of data over long time intervals, including, but not limited to, geological, evolutionary, and ecological data. The primary goal of 'deeptime' is to enable users to add highly customizable timescales to their visualizations. Other functions are also included to assist with other areas of deep time visualization.
Author: William Gearty [aut, cre]
Maintainer: William Gearty <willgearty@gmail.com>

Diff between deeptime versions 0.2.1 dated 2022-01-10 and 0.2.2 dated 2022-05-18

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New package cinaR with initial version 0.2.3
Package: cinaR
Title: A Computational Pipeline for Bulk 'ATAC-Seq' Profiles
Version: 0.2.3
Description: Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data analyses. This package combines different packages to have an ultimate package for both data analyses and visualization of 'ATAC-seq' data. Methods are described in 'Karakaslar et al.' (2021) <doi:10.1101/2021.03.05.434143>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/eonurk/cinaR/
BugReports: https://github.com/eonurk/cinaR/issues/
Depends: R (>= 4.0.0)
Imports: ChIPseeker, DESeq2, dplyr, edgeR, fgsea, GenomicRanges, TxDb.Hsapiens.UCSC.hg38.knownGene, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Mmusculus.UCSC.mm10.knownGene, ggplot2, ggrepel, grDevices, limma, utils, pheatmap, preprocessCore, RColorBrewer, sva, writexl
Suggests: knitr, rmarkdown, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-17 08:45:32 UTC; onur-lumc
Author: Onur Karakaslar [aut, cre], Duygu Ucar [aut]
Maintainer: Onur Karakaslar <eonurkara@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 14:00:09 UTC

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Package track (with last version 1.1.9) was removed from CRAN

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

2016-07-22 1.1.9
2015-04-01 1.1.8
2015-03-14 1.1.7
2012-04-13 1.0-15
2011-12-11 1.0-13
2011-12-09 1.0-12
2011-11-30 1.0-11
2011-01-30 1.0-1
2011-01-21 1.0-0

Permanent link
Package file2meco (with last version 0.2.3) was removed from CRAN

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

2022-05-06 0.2.3
2022-03-25 0.2.2
2022-01-06 0.2.1
2021-11-16 0.2.0
2021-09-09 0.1.0

Permanent link
Package monaco updated to version 0.2.2 with previous version 0.2.1 dated 2021-03-06

Title: The 'Monaco' Editor as a HTML Widget
Description: A HTML widget rendering the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the built-in features of the 'Monaco' editor, the widget allows to prettify multiple languages, to view the 'HTML' rendering of 'Markdown' code, and to view and resize 'SVG' images.
Author: Stephane Laurent [aut, cre], Microsoft Corporation [ctb, cph] , James Long and contributors [ctb, cph] , Rich Harris [ctb, cph] , Lionel Tzatzkin [ctb, cph] , Andrei Kashcha [ctb, cph] , Vitaly Puzrin [ctb, cph] , Alex Kocharin [ctb, cph] , John Schl [...truncated...]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package lefko3 updated to version 5.2.0 with previous version 5.1.0 dated 2022-04-03

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Complete analytical environment for the construction and analysis of matrix population models and integral projection models. Includes the ability to construct historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices and raw and function-based Leslie matrices.
Author: Richard P. Shefferson [aut, cre] , Johan Ehrlen [aut]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package IDSL.IPA updated to version 1.5 with previous version 1.4 dated 2022-03-22

Title: Intrinsic Peak Analysis (IPA) for HRMS Data
Description: A sophisticated pipeline for processing LC/HRMS data to extract signals of organic compounds. The package performs isotope pairing, peak detection, alignment, RT correction, gap filling, peak annotation and visualization of extracted ion chromatograms and total ion chromatograms.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

Diff between IDSL.IPA versions 1.4 dated 2022-03-22 and 1.5 dated 2022-05-18

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Package bdpar updated to version 3.0.2 with previous version 3.0.1 dated 2021-06-24

Title: Big Data Preprocessing Architecture
Description: Provide a tool to easily build customized data flows to pre-process large volumes of information from different sources. To this end, 'bdpar' allows to (i) easily use and create new functionalities and (ii) develop new data source extractors according to the user needs. Additionally, the package provides by default a predefined data flow to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual sources (SMS, Email, tweets, YouTube comments).
Author: Miguel Ferreiro-Diaz [aut, cre], David Ruano-Ordas [aut, ctr], Tomas R. Cotos-Yanez [aut, ctr], Jose Ramon Mendez Reboredo [aut, ctr], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Diaz <miguel.ferreiro.diaz@gmail.com>

Diff between bdpar versions 3.0.1 dated 2021-06-24 and 3.0.2 dated 2022-05-18

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Permanent link

New package pathwayTMB with initial version 0.1.2
Package: pathwayTMB
Title: Pathway Based Tumor Mutational Burden
Version: 0.1.2
Maintainer: Junwei Han <hanjunwei1981@163.com>
Description: A systematic bioinformatics tool to develop a new pathway-based gene panel for tumor mutational burden (TMB) assessment (pathway-based tumor mutational burden, PTMB), using somatic mutations files in an efficient manner from either The Cancer Genome Atlas sources or any in-house studies as long as the data is in mutation annotation file (MAF) format. Besides, we develop a multiple machine learning method using the sample's PTMB profiles to identify cancer-specific dysfunction pathways, which can be a biomarker of prognostic and predictive for cancer immunotherapy.
License: GPL (>= 2)
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: BiocGenerics, purrr, utils, glmnet, randomForest, stats, survival, survminer, caret, data.table, RColorBrewer, grDevices, pROC, graphics, maftools, clusterProfiler
VignetteBuilder: knitr,rmarkdown,qpdf
Suggests: stringi, knitr, rmarkdown, testthat, BiocManager, xfun, e1071, qpdf, tinytex, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2022-05-18 07:22:38 UTC; DELL
Author: Junwei Han [aut, cre, cph], Xiangmei Li [aut]
Repository: CRAN
Date/Publication: 2022-05-18 08:30:02 UTC

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Package opencpu updated to version 2.2.8 with previous version 2.2.7 dated 2022-02-22

Title: Producing and Reproducing Results
Description: A system for embedded scientific computing and reproducible research with R. The OpenCPU server exposes a simple but powerful HTTP api for RPC and data interchange with R. This provides a reliable and scalable foundation for statistical services or building R web applications. The OpenCPU server runs either as a single-user development server within the interactive R session, or as a multi-user Linux stack based on Apache2. The entire system is fully open source and permissively licensed. The OpenCPU website has detailed documentation and example apps.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between opencpu versions 2.2.7 dated 2022-02-22 and 2.2.8 dated 2022-05-18

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New package mnlfa with initial version 0.2-4
Package: mnlfa
Title: Moderated Nonlinear Factor Analysis
Version: 0.2-4
Date: 2022-05-17 12:28:17
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014, <doi:10.1080/00273171.2014.889594>). Regularization methods are implemented for assessing non-invariant items. Currently, the package includes dichotomous items and unidimensional item response models. Extensions will be included in future package versions.
Depends: R (>= 3.1)
Imports: CDM (>= 7.0-4), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Enhances: aMNLFA, GPCMlasso, sirt
URL: https://github.com/alexanderrobitzsch/mnlfa, https://sites.google.com/site/alexanderrobitzsch2/software
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-05-17 10:28:51 UTC; sunpn563
Repository: CRAN
Date/Publication: 2022-05-18 08:10:05 UTC

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Package EigenR updated to version 1.2.3 with previous version 1.2.2 dated 2022-01-22

Title: Complex Matrix Algebra with 'Eigen'
Description: Matrix algebra using the 'Eigen' C++ library: determinant, rank, inverse, pseudo-inverse, kernel and image, QR decomposition, Cholesky decomposition, linear least-squares problems. Also provides matrix functions such as exponential, logarithm, power, sine and cosine. Complex matrices are supported.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between EigenR versions 1.2.2 dated 2022-01-22 and 1.2.3 dated 2022-05-18

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Package DIZutils updated to version 0.1.0 with previous version 0.0.15 dated 2022-02-28

Title: Utilities for 'DIZ' R Package Development
Description: Utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
Author: Jonathan M. Mang [aut, cre] , Lorenz A. Kapsner [aut] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen, Germany [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

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New package CACIMAR with initial version 1.0.0
Package: CACIMAR
Title: Cross-Species Analysis of Cell Identities, Markers and Regulations
Version: 1.0.0
Maintainer: Junyao Jiang <jiangjunyao789@163.com>
Author: Junyao Jiang <jiangjunyao789@163.com>
Description: A toolkit to perform cross-species analysis based on scRNA-seq data. This package contains 5 main features. (1) identify Markers in each cluster. (2) Cell type annotation (3) identify conserved markers. (4) identify conserved cell types. (5) identify conserved modules of regulatory networks.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: pheatmap, pbapply, psych, ROCR, reshape2, dplyr, grDevices, stats, methods, viridisLite
Depends: R (>= 4.0), Seurat
Suggests: knitr, testthat (>= 3.0.0)
URL: https://github.com/jiang-junyao/CACIMAR
BugReports: https://github.com/jiang-junyao/CACIMAR/issues
NeedsCompilation: no
Packaged: 2022-05-17 12:49:03 UTC; jiangjunyao
Repository: CRAN
Date/Publication: 2022-05-18 08:20:02 UTC

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Package spatstat.core updated to version 2.4-4 with previous version 2.4-2 dated 2022-03-31

Title: Core Functionality of the 'spatstat' Family
Description: Functionality for data analysis and modelling of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Chiara Fend [ctb], Julian Gilbey [ctb], Yongtao G [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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New package rsolr with initial version 0.0.13
Package: rsolr
Title: R to Solr Interface
Version: 0.0.13
Author: Michael Lawrence, Gabe Becker, Jan Vogel
Maintainer: Michael Lawrence <michafla@gene.com>
Description: A comprehensive R API for querying Apache Solr databases. A Solr core is represented as a data frame or list that supports Solr-side filtering, sorting, transformation and aggregation, all through the familiar base R API. Queries are processed lazily, i.e., a query is only sent to the database when the data are required.
License: Apache License (== 2.0)
VignetteBuilder: knitr
Imports: restfulr (>= 0.0.2), graph, S4Vectors (>= 0.14.3), rjson, XML, RCurl
Depends: R (>= 3.4.0), BiocGenerics (>= 0.15.1), methods
Suggests: nycflights13, RUnit, MASS, knitr
NeedsCompilation: no
Packaged: 2022-05-17 23:32:52 UTC; michafla
Repository: CRAN
Date/Publication: 2022-05-18 07:10:02 UTC

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Package ICtest updated to version 0.3-5 with previous version 0.3-4 dated 2021-03-20

Title: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction
Description: For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.
Author: Klaus Nordhausen [aut, cre] , Hannu Oja [aut] , David E. Tyler [aut], Joni Virta [aut]
Maintainer: Klaus Nordhausen <klaus.k.nordhausen@jyu.fi>

Diff between ICtest versions 0.3-4 dated 2021-03-20 and 0.3-5 dated 2022-05-18

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Package hdnom updated to version 6.0.1 with previous version 6.0.0 dated 2019-06-23

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut], Miao-Zhu Li [aut], Frank Harrell [ctb] , Sergej Potapov [ctb] , Werner Adler [ctb] , Matthias Schmid [ctb]
Maintainer: Nan Xiao <me@nanx.me>

Diff between hdnom versions 6.0.0 dated 2019-06-23 and 6.0.1 dated 2022-05-18

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New package habCluster with initial version 1.0.3
Package: habCluster
Title: Detecting Spatial Clustering Based on Connection Cost Between Grids
Version: 1.0.3
Date: 2022-04-21
Author: Qiang Dai
Maintainer: Qiang Dai <daiqiang@cib.ac.cn>
Description: Based on landscape connectivity, spatial boundaries were identified using community detection algorithm at grid level. Methods using raster as input and the value of each cell of the raster is the "smoothness" to indicate how easy the cell connecting with neighbor cells. Details about the 'habCluster' package methods can be found in Zhang et al. <bioRxiv:2022.05.06.490926>.
License: GPL (>= 3)
Depends: R (>= 4.0.0), igraph (>= 1.3.0), stars (>= 0.5-0), sf (>= 1.0.0), methods
Imports: Rcpp, raster
Suggests: knitr, rmarkdown, testthat (>= 3.1.0), spelling
LinkingTo: Rcpp
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2022-05-17 08:00:26 UTC; qiang
Repository: CRAN
Date/Publication: 2022-05-18 08:00:02 UTC

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New package GEint with initial version 1.0
Package: GEint
Title: Misspecified Models for Gene-Environment Interaction
Version: 1.0
Date: 2022-05-17
Description: The first major functionality is to compute the bias in misspecified linear gene-environment interaction models. The most generalized function for this objective is GE_bias(). However GE_bias() requires specification of many higher order moments of covariates in the model. If users are unsure about how to calculate/estimate these higher order moments, it may be easier to use GE_bias_normal_squaredmis(). This function places many more assumptions on the covariates (most notably that they are all jointly generated from a multivariate normal distribution) and is thus able to automatically calculate many of the higher order moments automatically, necessitating only that the user specify some covariances. There are also functions to solve for the bias through simulation and non-linear equation solvers, these can be used to check your work. Second major functionality is to implement the Bootstrap Inference with Correct Sandwich (BICS) testing procedure, which we have found to provide better finite-sample performance than other inference procedures for testing GxE interaction. More details on these functions are available in Sun, Carroll, Christiani, and Lin (2018) <doi:10.1111/biom.12813>.
Imports: mvtnorm, bindata, nleqslv, pracma, speedglm, rje, geepack, stats
License: GPL-3
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-17 20:17:44 UTC; rsun3
Author: Ryan Sun [aut, cre], Richard Barfield [ctb]
Maintainer: Ryan Sun <ryansun.work@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-18 07:20:02 UTC

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Package DIZtools updated to version 0.0.5 with previous version 0.0.4 dated 2022-03-03

Title: Lightweight Utilities for 'DIZ' R Package Development
Description: Lightweight utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
Author: Jonathan M. Mang [aut, cre] , Lorenz A. Kapsner [aut] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen, Germany [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

Diff between DIZtools versions 0.0.4 dated 2022-03-03 and 0.0.5 dated 2022-05-18

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Package ReviewR updated to version 2.3.8 with previous version 2.3.7 dated 2021-09-02

Title: A Light-Weight, Portable Tool for Reviewing Individual Patient Records
Description: A portable Shiny tool to explore patient-level electronic health record data and perform chart review in a single integrated framework. This tool supports browsing clinical data in many different formats including multiple versions of the 'OMOP' common data model as well as the 'MIMIC-III' data model. In addition, chart review information is captured and stored securely via the Shiny interface in a 'REDCap' (Research Electronic Data Capture) project using the 'REDCap' API. See the 'ReviewR' website for additional information, documentation, and examples.
Author: Laura Wiley [aut] , Luke Rasmussen [aut] , David Mayer [cre, aut] , The Wiley Lab [cph, fnd]
Maintainer: David Mayer <david.mayer@cuanschutz.edu>

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Package Rbeast updated to version 0.9.4 with previous version 0.9.3 dated 2022-03-04

Title: Bayesian Change-Point Detection and Time Series Decomposition
Description: Interpretation of time series data is affected by model choices. Different models can give different or even contradicting estimates of patterns, trends, and mechanisms for the same data--a limitation alleviated by the Bayesian estimator of abrupt change,seasonality, and trend (BEAST) of this package. BEAST seeks to improve time series decomposition by forgoing the "single-best-model" concept and embracing all competing models into the inference via a Bayesian model averaging scheme. It is a flexible tool to uncover abrupt changes (i.e., change-points), cyclic variations (e.g., seasonality), and nonlinear trends in time-series observations. BEAST not just tells when changes occur but also quantifies how likely the detected changes are true. It detects not just piecewise linear trends but also arbitrary nonlinear trends. BEAST is applicable to real-valued time series data of all kinds, be it for remote sensing, economics, climate sciences, ecology, and hydrology. Example applications include its use to identify regime shifts in ecological data, map forest disturbance and land degradation from satellite imagery, detect market trends in economic data, pinpoint anomaly and extreme events in climate data, and unravel system dynamics in biological data. Details on BEAST are reported in Zhao et al. (2019) <doi:10.1016/j.rse.2019.04.034>.
Author: Kaiguang Zhao [aut, cre], Tongxi Hu [aut], Yang Li [aut], Jack Dongarra [ctb], Cleve Moler [ctb]
Maintainer: Kaiguang Zhao <zhao.1423@osu.edu>

Diff between Rbeast versions 0.9.3 dated 2022-03-04 and 0.9.4 dated 2022-05-18

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Package maat updated to version 1.1.0 with previous version 1.0.2 dated 2021-07-09

Title: Multiple Administrations Adaptive Testing
Description: Provides an extension of the shadow-test approach to computerized adaptive testing (CAT) implemented in the 'TestDesign' package for the assessment framework involving multiple tests administered periodically throughout the year. This framework is referred to as the Multiple Administrations Adaptive Testing (MAAT) and supports multiple item pools vertically scaled and multiple phases (stages) of CAT within each test. Between phases and tests, transitioning from one item pool (and associated constraints) to another is allowed as deemed necessary to enhance the quality of measurement.
Author: Seung W. Choi [aut, cre] , Sangdon Lim [aut] , Luping Niu [aut] , Sooyong Lee [aut] , M. Christina Schneider [ctb], Jay Lee [ctb], Garron Gianopulos [ctb]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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Package LPRelevance updated to version 3.3 with previous version 3.2 dated 2021-04-22

Title: Relevance-Integrated Statistical Inference Engine
Description: Provide methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2021, <arXiv:2004.09588>).
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kaijunwang.19@gmail.com>

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Package IDSL.MXP updated to version 1.2 with previous version 1.1 dated 2022-03-22

Title: Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry Data)
Description: A tiny parser to extract mass spectra data and metadata table of MS acquisition properties from mzML, mzXML and netCDF mass spectrometry files.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

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Package htestClust updated to version 0.2.2 with previous version 0.2.1 dated 2022-02-13

Title: Reweighted Marginal Hypothesis Tests for Clustered Data
Description: A collection of reweighted marginal hypothesis tests for clustered data, based on reweighting methods of Williamson, J., Datta, S., and Satten, G. (2003) <doi:10.1111/1541-0420.00005>. The tests in this collection are clustered analogs to well-known hypothesis tests in the classical setting, and are appropriate for data with cluster- and/or group-size informativeness. The syntax and output of functions are modeled after common, recognizable functions native to R. Methods used in the package refer to Gregg, M., Datta, S., and Lorenz, D. (2020) <doi:10.1177/0962280220928572>, Nevalainen, J., Oja, H., and Datta, S. (2017) <doi:10.1002/sim.7288> Dutta, S. and Datta, S. (2015) <doi:10.1111/biom.12447>, Lorenz, D., Datta, S., and Harkema, S. (2011) <doi:10.1002/sim.4368>, Datta, S. and Satten, G. (2008) <doi:10.1111/j.1541-0420.2007.00923.x>, Datta, S. and Satten, G. (2005) <doi:10.1198/016214504000001583>.
Author: Mary Gregg [aut, cre] , Somnath Datta [aut] , Doug Lorenz [aut]
Maintainer: Mary Gregg <megregg07@gmail.com>

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Package chorrrds (with last version 0.1.9.5) was removed from CRAN

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

2020-06-30 0.1.9.5
2020-03-16 0.1.9.4
2020-02-08 0.1.9.3
2019-11-07 0.1.9.2
2019-05-19 0.1.9.1
2019-04-19 0.1.9
2019-01-28 0.1.8
2018-08-11 0.1.7
2018-04-22 0.1.4
2018-04-19 0.1.3

Permanent link
Package RcppCensSpatial (with last version 0.1.0) was removed from CRAN

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

2021-09-21 0.1.0

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New package webshot2 with initial version 0.1.0
Package: webshot2
Title: Take Screenshots of Web Pages
Version: 0.1.0
Description: Takes screenshots of web pages, including Shiny applications and R Markdown documents. 'webshot2' uses headless Chrome or Chromium as the browser back-end.
Imports: chromote (>= 0.1.0), later, promises, magrittr, callr
Suggests: shiny, httpuv, rmarkdown
Depends: R (>= 3.2)
License: GPL-2
Encoding: UTF-8
URL: https://github.com/rstudio/webshot2
BugReports: https://github.com/rstudio/webshot2/issues
Language: en-US
NeedsCompilation: no
Packaged: 2022-05-13 19:54:06 UTC; barret
Author: Winston Chang [aut, cre], Barret Schloerke [ctb] , RStudio [cph, fnd]
Maintainer: Winston Chang <winston@rstudio.com>
Repository: CRAN
Date/Publication: 2022-05-18 06:00:02 UTC

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