Title: Several Methods for Procedural Name Generation
Description: A small, dependency-free way to generate random names. Methods
provided include the adjective-surname approach of Docker containers
('<https://github.com/moby/moby/blob/master/pkg/namesgenerator/names-generator.go'),
and combinations of common English or Spanish words.
Author: Michael Mahoney [aut, cre] (<https://orcid.org/0000-0003-2402-304X>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>
Diff between proceduralnames versions 0.1.2 dated 2021-05-11 and 0.2.0 dated 2021-10-01
proceduralnames-0.1.2/proceduralnames/R/docker_names.R |only proceduralnames-0.1.2/proceduralnames/R/english_names.R |only proceduralnames-0.1.2/proceduralnames/R/spanish_names.R |only proceduralnames-0.2.0/proceduralnames/DESCRIPTION | 8 ++-- proceduralnames-0.2.0/proceduralnames/MD5 | 19 ++++----- proceduralnames-0.2.0/proceduralnames/NEWS.md | 10 +++++ proceduralnames-0.2.0/proceduralnames/R/make_names.R |only proceduralnames-0.2.0/proceduralnames/README.md | 12 +++--- proceduralnames-0.2.0/proceduralnames/man/make_docker_names.Rd | 6 ++- proceduralnames-0.2.0/proceduralnames/man/make_english_names.Rd | 20 ++++++++-- proceduralnames-0.2.0/proceduralnames/man/make_names.Rd |only proceduralnames-0.2.0/proceduralnames/man/make_spanish_names.Rd | 20 ++++++++-- proceduralnames-0.2.0/proceduralnames/man/proceduralnames-package.Rd | 5 -- 13 files changed, 66 insertions(+), 34 deletions(-)
More information about proceduralnames at CRAN
Permanent link
Title: BioAcoustic EveNT ClassifiER
Description: Create a hierarchical acoustic event species classifier out of
multiple call type detectors as described in
Rankin et al (2017) <doi:10.1111/mms.12381>.
Author: Eric Archer [aut, cre],
Taiki Sakai [aut]
Maintainer: Eric Archer <eric.archer@noaa.gov>
Diff between banter versions 0.9.3 dated 2018-07-10 and 0.9.4 dated 2021-10-01
DESCRIPTION | 21 +++-- MD5 | 88 ++++++++++++---------- NAMESPACE | 18 ---- R/addBanterDetector.R | 80 +++++++++++--------- R/banter-package.R | 14 +++ R/banterGuide.R |only R/banter_detector.R | 9 -- R/banter_model.R | 3 R/getBanterModel.R | 8 +- R/getBanterModelData.R | 7 + R/getDetectorNames.R | 5 + R/getSampSize.R | 9 +- R/initBanterModel.R | 5 + R/internals.R | 39 +++++++--- R/modelPctCorrect.R | 15 ++- R/numCalls.R | 37 +++++---- R/numEvents.R | 9 +- R/plotDetectorTrace.R | 24 +++--- R/predict.R | 165 +++++++++++++++++++++++++++++++++++-------- R/runBanterModel.R | 19 +++- R/summary.R | 10 ++ README.md | 31 ++++++-- data/datalist |only data/test.data.rdata |binary data/train.data.rdata |binary man/addBanterDetector.Rd | 23 ++++- man/banter-package.Rd | 6 + man/banterGuide.Rd |only man/banter_detector-class.Rd | 11 -- man/getBanterModel.Rd | 9 +- man/getBanterModelData.Rd | 8 +- man/getDetectorNames.Rd | 6 + man/getSampSize.Rd | 10 ++ man/initBanterModel.Rd | 6 + man/internals.Rd | 5 + man/modelPctCorrect.Rd | 6 + man/numCalls.Rd | 9 ++ man/numEvents.Rd | 8 +- man/plotDetectorTrace.Rd | 15 ++- man/predict.Rd | 28 ++++++- man/runBanterModel.Rd | 6 + man/summary.Rd | 19 +++- man/test.data.Rd | 4 - man/train.data.Rd | 4 - tests |only 45 files changed, 557 insertions(+), 242 deletions(-)
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 0.1.3 dated 2021-04-19 and 0.1.4 dated 2021-10-01
DESCRIPTION | 42 ++++++++++++++++++++++++------------------ MD5 | 20 +++++++++++--------- NAMESPACE | 1 + NEWS.md | 8 ++++++++ R/conflicts.R | 27 ++++++++++++++++++++++++--- R/imports.R | 1 + R/tidymodels_prefer.R | 3 ++- R/utils.R | 5 +++++ build/vignette.rds |binary inst/rmarkdown |only man/tidymodels-package.Rd | 4 +--- 11 files changed, 77 insertions(+), 34 deletions(-)
Title: Functions for Analyzing and Plotting Estuary Monitoring Data
Description: Tools for performing routine analysis and plotting tasks with environmental
data from the System Wide Monitoring Program of the National Estuarine
Research Reserve System <http://cdmo.baruch.sc.edu/>. This package builds
on the functionality of the SWMPr package <https://cran.r-project.org/package=SWMPr>,
which is used to retrieve and organize the data. The combined set of tools
address common challenges associated with continuous time series data
for environmental decision making, and are intended for use in annual reporting activities.
References:
Beck, Marcus W. (2016) <ISSN 2073-4859><https://journal.r-project.org/archive/2016-1/beck.pdf>
Rudis, Bob (2014) <https://rud.is/b/2014/11/16/moving-the-earth-well-alaska-hawaii-with-r/>.
United States Environmental Protection Agency (2015) <https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=OWOW&dirEntryId=327030>.
United States Environmental Protection Agency (2012) <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.646.1973&rep=rep1&type=pdf>.
Author: Julie Padilla [aut, ctb],
Marcus Beck [ctb],
Kimberly Cressman [ctb],
Dave Eslinger [cre, ctb],
Bob Rudis [ctb]
Maintainer: Dave Eslinger <dave.eslinger@noaa.gov>
Diff between SWMPrExtension versions 1.1.7 dated 2021-09-16 and 2.0.0 dated 2021-10-01
SWMPrExtension-1.1.7/SWMPrExtension/R/us_laea.R |only SWMPrExtension-1.1.7/SWMPrExtension/data/us_laea.rda |only SWMPrExtension-1.1.7/SWMPrExtension/man/us_laea.Rd |only SWMPrExtension-2.0.0/SWMPrExtension/DESCRIPTION | 14 SWMPrExtension-2.0.0/SWMPrExtension/MD5 | 66 +- SWMPrExtension-2.0.0/SWMPrExtension/NAMESPACE | 32 - SWMPrExtension-2.0.0/SWMPrExtension/NEWS.md | 19 SWMPrExtension-2.0.0/SWMPrExtension/R/counties_4269.R |only SWMPrExtension-2.0.0/SWMPrExtension/R/generate_station_table.R | 1 SWMPrExtension-2.0.0/SWMPrExtension/R/lm_p_labs.R | 4 SWMPrExtension-2.0.0/SWMPrExtension/R/load_shp_file.R | 25 SWMPrExtension-2.0.0/SWMPrExtension/R/national_sk_map.R | 249 +++----- SWMPrExtension-2.0.0/SWMPrExtension/R/res_custom_map.R | 148 ++-- SWMPrExtension-2.0.0/SWMPrExtension/R/res_custom_sk_map.R | 268 ++++---- SWMPrExtension-2.0.0/SWMPrExtension/R/res_local_map.R | 182 +++--- SWMPrExtension-2.0.0/SWMPrExtension/R/res_national_map.R | 177 ++--- SWMPrExtension-2.0.0/SWMPrExtension/R/res_sk_map.R | 299 ++++------ SWMPrExtension-2.0.0/SWMPrExtension/R/reserve_locs.R | 38 - SWMPrExtension-2.0.0/SWMPrExtension/R/seasonal_dot.R | 30 - SWMPrExtension-2.0.0/SWMPrExtension/R/set_date_breaks.R | 37 + SWMPrExtension-2.0.0/SWMPrExtension/R/threshold_criteria_plot.R | 14 SWMPrExtension-2.0.0/SWMPrExtension/R/threshold_identification.R | 20 SWMPrExtension-2.0.0/SWMPrExtension/R/threshold_percentile_plot.R | 14 SWMPrExtension-2.0.0/SWMPrExtension/R/threshold_summary.R | 77 -- SWMPrExtension-2.0.0/SWMPrExtension/R/update_sampling_stations.R | 2 SWMPrExtension-2.0.0/SWMPrExtension/R/us_4269.R |only SWMPrExtension-2.0.0/SWMPrExtension/data/counties_4269.rda |only SWMPrExtension-2.0.0/SWMPrExtension/data/us_4269.rda |only SWMPrExtension-2.0.0/SWMPrExtension/man/counties_4269.Rd |only SWMPrExtension-2.0.0/SWMPrExtension/man/load_shp_file.Rd | 8 SWMPrExtension-2.0.0/SWMPrExtension/man/national_sk_map.Rd | 14 SWMPrExtension-2.0.0/SWMPrExtension/man/res_custom_map.Rd | 157 ++--- SWMPrExtension-2.0.0/SWMPrExtension/man/res_custom_sk_map.Rd | 53 + SWMPrExtension-2.0.0/SWMPrExtension/man/res_local_map.Rd | 55 + SWMPrExtension-2.0.0/SWMPrExtension/man/res_national_map.Rd | 12 SWMPrExtension-2.0.0/SWMPrExtension/man/res_sk_map.Rd | 84 +- SWMPrExtension-2.0.0/SWMPrExtension/man/reserve_locs.Rd | 2 SWMPrExtension-2.0.0/SWMPrExtension/man/set_date_breaks_minor.Rd |only SWMPrExtension-2.0.0/SWMPrExtension/man/us_4269.Rd |only 39 files changed, 1044 insertions(+), 1057 deletions(-)
More information about SWMPrExtension at CRAN
Permanent link
Title: Clinical Data Review Tool
Description: Creation of interactive tables, listings and figures ('TLFs')
and associated report for exploratory analysis of data in a clinical trial,
e.g. for clinical oversight activities.
Interactive figures include sunburst, treemap, scatterplot, line plot and
barplot of counts data.
Interactive tables include table of summary statistics
(as counts of adverse events, enrollment table) and listings.
Possibility to compare data (summary table or listing) across two data batches/sets.
A clinical data review report is created via study-specific configuration
files and template 'R Markdown' reports contained in the package.
Author: Laure Cougnaud [aut, cre],
Michela Pasetto [aut],
Lennart Tuijnder [aut],
Arne De Roeck [ctb, rev] (rev: tests),
Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>
Diff between clinDataReview versions 1.1.0 dated 2021-07-14 and 1.2.0 dated 2021-10-01
clinDataReview-1.1.0/clinDataReview/R/plots-utility-facets.R |only clinDataReview-1.1.0/clinDataReview/man/getSizePlotClinData.Rd |only clinDataReview-1.1.0/clinDataReview/tests/testthat/test_plotlyUtilityFormatToHierachicalData.R |only clinDataReview-1.1.0/clinDataReview/tests/testthat/test_statisticScatterplotClinData.R |only clinDataReview-1.2.0/clinDataReview/DESCRIPTION | 24 clinDataReview-1.2.0/clinDataReview/MD5 | 213 +- clinDataReview-1.2.0/clinDataReview/NAMESPACE | 5 clinDataReview-1.2.0/clinDataReview/R/dataManipulation-annotateData.R | 251 +- clinDataReview-1.2.0/clinDataReview/R/dataManipulation-filterData.R | 23 clinDataReview-1.2.0/clinDataReview/R/dataManipulation-transformData.R | 5 clinDataReview-1.2.0/clinDataReview/R/doc-clinDataReview-common-args.R | 9 clinDataReview-1.2.0/clinDataReview/R/miscellaneous.R | 19 clinDataReview-1.2.0/clinDataReview/R/plots-barplotClinData.R | 49 clinDataReview-1.2.0/clinDataReview/R/plots-boxplotClinData.R | 92 - clinDataReview-1.2.0/clinDataReview/R/plots-countClinData.R | 38 clinDataReview-1.2.0/clinDataReview/R/plots-errorbarClinData.R |only clinDataReview-1.2.0/clinDataReview/R/plots-scatterplotClinData.R | 68 clinDataReview-1.2.0/clinDataReview/R/plots-staticScatterplotClinData.R | 63 clinDataReview-1.2.0/clinDataReview/R/plots-timeProfileIntervalPlot.R | 63 clinDataReview-1.2.0/clinDataReview/R/plots-utility-axisLabels.R |only clinDataReview-1.2.0/clinDataReview/R/plots-utility-dimensions.R |only clinDataReview-1.2.0/clinDataReview/R/plots-utility-getPlotTableVars.R | 27 clinDataReview-1.2.0/clinDataReview/R/plots-utility-layout.R |only clinDataReview-1.2.0/clinDataReview/R/reporting-render_clinDataReviewReport.R | 53 clinDataReview-1.2.0/clinDataReview/R/reporting-skeleton.R | 66 clinDataReview-1.2.0/clinDataReview/build/vignette.rds |binary clinDataReview-1.2.0/clinDataReview/inst/NEWS | 34 clinDataReview-1.2.0/clinDataReview/inst/doc/clinDataReview-dataPreprocessing.html | 12 clinDataReview-1.2.0/clinDataReview/inst/doc/clinDataReview-dataVisualization.Rmd | 239 +- clinDataReview-1.2.0/clinDataReview/inst/doc/clinDataReview-dataVisualization.html | 806 +++++--- clinDataReview-1.2.0/clinDataReview/inst/doc/clinDataReview-reporting.html | 10 clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-701-1148.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-701-1192.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-701-1211.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-704-1445.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-710-1083.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-718-1371.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile-01-718-1427.pdf |binary clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile.Rnw |only clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile.aux | 2 clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile.log | 205 +- clinDataReview-1.2.0/clinDataReview/inst/doc/patientProfiles/subjectProfile.out | 2 clinDataReview-1.2.0/clinDataReview/inst/examples/barplotClinData-example.R | 5 clinDataReview-1.2.0/clinDataReview/inst/examples/boxplotClinData-example.R | 21 clinDataReview-1.2.0/clinDataReview/inst/examples/errorbarClinData-example.R |only clinDataReview-1.2.0/clinDataReview/inst/examples/filterData-example.R | 18 clinDataReview-1.2.0/clinDataReview/inst/examples/scatterplotClinData-example.R | 70 clinDataReview-1.2.0/clinDataReview/inst/examples/sunburstClinData-example.R | 4 clinDataReview-1.2.0/clinDataReview/inst/examples/timeProfileIntervalPlot-example.R |only clinDataReview-1.2.0/clinDataReview/inst/skeleton/config/config-adverseEvents-listing-comparison.yml | 2 clinDataReview-1.2.0/clinDataReview/inst/skeleton/config/config-adverseEvents-summaryTable-comparison.yml |only clinDataReview-1.2.0/clinDataReview/inst/skeleton/config/config-concomitantMedications-listing.yml | 3 clinDataReview-1.2.0/clinDataReview/inst/skeleton/config/config-laboratory-spaghettiPlot-byVisit.yml |only clinDataReview-1.2.0/clinDataReview/inst/skeleton/config/config-laboratory-spaghettiPlot.yml | 2 clinDataReview-1.2.0/clinDataReview/inst/template/countsVisualizationTemplate.json | 2 clinDataReview-1.2.0/clinDataReview/inst/template/listingTemplate.Rmd | 24 clinDataReview-1.2.0/clinDataReview/inst/template/listingTemplate.json | 2 clinDataReview-1.2.0/clinDataReview/inst/template/plotTemplate.Rmd | 53 clinDataReview-1.2.0/clinDataReview/inst/template/plotTemplate.json | 15 clinDataReview-1.2.0/clinDataReview/inst/template/summaryPlotTemplate.Rmd | 81 clinDataReview-1.2.0/clinDataReview/inst/template/summaryPlotTemplate.json | 4 clinDataReview-1.2.0/clinDataReview/inst/template/summaryTableTemplate.Rmd | 191 +- clinDataReview-1.2.0/clinDataReview/inst/template/summaryTableTemplate.json | 8 clinDataReview-1.2.0/clinDataReview/man/barplotClinData.Rd | 21 clinDataReview-1.2.0/clinDataReview/man/boxplotClinData.Rd | 37 clinDataReview-1.2.0/clinDataReview/man/clinDataReview-common-args.Rd | 13 clinDataReview-1.2.0/clinDataReview/man/clinDataReview-templates.Rd | 23 clinDataReview-1.2.0/clinDataReview/man/convertMdToHtml.Rd | 6 clinDataReview-1.2.0/clinDataReview/man/countNLines.Rd |only clinDataReview-1.2.0/clinDataReview/man/errorbarClinData.Rd |only clinDataReview-1.2.0/clinDataReview/man/exportSessionInfoToMd.Rd | 5 clinDataReview-1.2.0/clinDataReview/man/filterData.Rd | 41 clinDataReview-1.2.0/clinDataReview/man/getAxisLabs.Rd |only clinDataReview-1.2.0/clinDataReview/man/getDimGgplot.Rd | 2 clinDataReview-1.2.0/clinDataReview/man/getFacetVars.Rd | 2 clinDataReview-1.2.0/clinDataReview/man/getHeightLab.Rd |only clinDataReview-1.2.0/clinDataReview/man/getJitterVar.Rd |only clinDataReview-1.2.0/clinDataReview/man/getPositionAndMargins.Rd |only clinDataReview-1.2.0/clinDataReview/man/getSizePlot.Rd |only clinDataReview-1.2.0/clinDataReview/man/layoutClinData.Rd |only clinDataReview-1.2.0/clinDataReview/man/plotCountClinData.Rd | 18 clinDataReview-1.2.0/clinDataReview/man/renderInNewSession.Rd | 3 clinDataReview-1.2.0/clinDataReview/man/render_clinDataReviewReport.Rd | 2 clinDataReview-1.2.0/clinDataReview/man/scatterplotClinData.Rd | 98 - clinDataReview-1.2.0/clinDataReview/man/setFacetLayoutWrap.Rd | 2 clinDataReview-1.2.0/clinDataReview/man/staticScatterplotClinData.Rd | 9 clinDataReview-1.2.0/clinDataReview/man/sunburstClinData.Rd | 18 clinDataReview-1.2.0/clinDataReview/man/timeProfileIntervalPlot.Rd | 19 clinDataReview-1.2.0/clinDataReview/man/treemapClinData.Rd | 14 clinDataReview-1.2.0/clinDataReview/tests/testthat/test_annotateData.R | 916 ++++++---- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_barplotClinData.R | 152 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_boxplotClinData.R | 259 +- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_errorbarClinData.R |only clinDataReview-1.2.0/clinDataReview/tests/testthat/test_filterData.R | 756 ++++---- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_getPathHyperlink.R | 25 clinDataReview-1.2.0/clinDataReview/tests/testthat/test_getPlotTableVars.R | 132 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_knitPrint.R | 462 +++-- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_metadata.R | 561 +++--- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_miscellaneous.R | 196 +- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_plotCountClinData.R | 166 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_plotlyUtilityFormatToHierarchicalData.R |only clinDataReview-1.2.0/clinDataReview/tests/testthat/test_plotsUtilityFacets.R | 150 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_plotsUtilityFormatPlotlyClinData.R | 143 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_processData.R | 155 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_render_clinDataReviewReport.R | 728 ++++--- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_reportingFormats.R | 86 clinDataReview-1.2.0/clinDataReview/tests/testthat/test_reportingTemplates.R | 24 clinDataReview-1.2.0/clinDataReview/tests/testthat/test_reportingUtility.R | 34 clinDataReview-1.2.0/clinDataReview/tests/testthat/test_scatterplotClinData.R | 894 ++++++--- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_skeleton.R | 135 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_staticScatterplotClinData.R |only clinDataReview-1.2.0/clinDataReview/tests/testthat/test_sunburstClinData.R | 143 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_tableClinData.R | 116 - clinDataReview-1.2.0/clinDataReview/tests/testthat/test_templates.R | 560 +++--- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_timeProfileIntervalPlot.R | 273 +- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_transformData.R | 271 +- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_treemapClinData.R | 220 -- clinDataReview-1.2.0/clinDataReview/tests/testthat/test_utility-dimensions.R |only clinDataReview-1.2.0/clinDataReview/tests/testthat/test_zipClinDataReviewReport.R | 203 +- clinDataReview-1.2.0/clinDataReview/vignettes/clinDataReview-dataVisualization.Rmd | 239 +- 120 files changed, 6632 insertions(+), 4583 deletions(-)
More information about clinDataReview at CRAN
Permanent link
Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data,
with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French [aut, cre] (<https://orcid.org/0000-0002-9708-3353>),
Mohammad Meysami [ctb] (<https://orcid.org/0000-0002-3322-5244>)
Maintainer: Joshua French <joshua.french@ucdenver.edu>
Diff between smerc versions 1.4.2 dated 2021-02-12 and 1.5 dated 2021-10-01
DESCRIPTION | 8 ++-- MD5 | 24 +++++++------- NAMESPACE | 1 NEWS | 1 R/clusters.R |only R/scan.test.R | 7 ++++ build/vignette.rds |binary inst/doc/smerc_demo.R | 3 + inst/doc/smerc_demo.Rmd | 5 +++ inst/doc/smerc_demo.html | 77 ++++++++++++++++++++++++++++------------------- man/clusters.Rd |only man/scan.test.Rd | 2 + src/RcppExports.cpp | 5 +++ vignettes/smerc_demo.Rmd | 5 +++ 14 files changed, 92 insertions(+), 46 deletions(-)
Title: WOFOST Crop Growth Simulation Model
Description: An implementation of the WOFOST ("World Food Studies") crop growth model. WOFOST is a dynamic simulation model that uses daily weather data, and crop, soil and management parameters to simulate crop growth and development. See De Wit et al. (2019) <doi:10.1016/j.agsy.2018.06.018> for a recent review of the history and use of the model.
Author: Robert J. Hijmans [cre, aut],
Huang Fang [ctb],
C.A. van Diepen [ctb],
Allard de Wit [ctb],
Daniel van Kraalingen [ctb],
Tamme van der Wal [ctb],
C. Rappoldt [ctb],
Hendrik Boogard [ctb],
I.G.A.M. Noy [ctb],
Alterra, Wageningen-UR [cph]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Diff between Rwofost versions 0.8-2 dated 2021-05-27 and 0.8-3 dated 2021-10-01
DESCRIPTION | 11 ++++++----- MD5 | 8 ++++---- NAMESPACE | 2 +- R/spatial.R | 12 ++++++------ build/partial.rdb |binary 5 files changed, 17 insertions(+), 16 deletions(-)
Title: Concentration-Response Modeling of HTS or Transcriptomics Data
Description: Performs the basic concentration response curve fitting used
in the 'tcpl' package. It is a substitute for the original tcplFit() function
(and sub-functions) and allows a wider variety of concentration-response models.
All of the models included in the 'BMDExpress' package are now part of this package,
and the output includes a calculation of the bmd (Benchmark Dose or concentration)
value.
Author: Thomas Sheffield [aut],
Richard Judson [ctb],
Jason Brown [ctb, cre],
Sarah E. Davidson [ctb]
Maintainer: Jason Brown <brown.jason@epa.gov>
Diff between tcplfit2 versions 0.1.1 dated 2021-07-14 and 0.1.2 dated 2021-10-01
DESCRIPTION | 18 ++++--- MD5 | 53 ++++++++++++----------- NEWS.md | 7 ++- R/bmdbounds.R | 2 R/concRespCore.R | 3 - R/concRespPlot.R | 24 +++++++++- R/data.R | 47 ++++++++++++++++---- R/hitcont.R | 15 ++++++ R/tcplObj.R | 60 +++++++++++++++++++++----- build/partial.rdb |only data/signatures.rda |only man/bmdbounds.Rd | 118 ++++++++++++++++++++++++++-------------------------- man/cnst.Rd | 8 ++- man/concRespCore.Rd | 3 - man/concRespPlot.Rd | 106 +++++++++++++++++++++++++++------------------- man/exp2.Rd | 8 ++- man/exp3.Rd | 8 ++- man/exp4.Rd | 8 ++- man/exp5.Rd | 8 ++- man/gnls.Rd | 8 ++- man/hillfn.Rd | 8 ++- man/hitcont.Rd | 84 +++++++++++++++++++++---------------- man/loggnls.Rd | 8 ++- man/loghill.Rd | 8 ++- man/mc3.Rd | 23 +++++----- man/poly1.Rd | 8 ++- man/poly2.Rd | 8 ++- man/pow.Rd | 8 ++- man/signatures.Rd |only 29 files changed, 424 insertions(+), 235 deletions(-)
Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between 'GRASS' 7 geographical
information system and R, based on starting R from within the 'GRASS' 'GIS'
environment, or running free-standing R in a temporary 'GRASS' location;
the package provides facilities for using all 'GRASS' commands from the
R command line. This package may not be used for 'GRASS' 6, for which
'spgrass6' should be used.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>),
Rainer Krug [ctb] (<https://orcid.org/0000-0002-7490-0066>),
Markus Neteler [ctb] (<https://orcid.org/0000-0003-1916-1966>),
Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>),
Floris Vanderhaeghe [ctb] (<https://orcid.org/0000-0002-6378-6229>)
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between rgrass7 versions 0.2-5 dated 2021-01-29 and 0.2-6 dated 2021-10-01
DESCRIPTION | 8 +++---- MD5 | 8 +++---- NAMESPACE | 1 NEWS.md | 10 ++++++++- R/rgrass.R | 63 ++++++++++++++++++++++++++++++++++-------------------------- 5 files changed, 54 insertions(+), 36 deletions(-)
Title: Functional Control Charts
Description: Provides functional control charts
for statistical process monitoring of functional data,
using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507> and
Centofanti et al. (2020) <doi:10.1080/00401706.2020.1753581>.
Author: Christian Capezza [cre, aut],
Fabio Centofanti [aut],
Antonio Lepore [aut],
Alessandra Menafoglio [aut],
Biagio Palumbo [aut],
Simone Vantini [aut]
Maintainer: Christian Capezza <christian.capezza@unina.it>
Diff between funcharts versions 1.0.0 dated 2021-03-15 and 1.1.0 dated 2021-10-01
DESCRIPTION | 10 - MD5 | 55 ++++--- NAMESPACE | 6 NEWS.md |only R/00_mfd.R | 239 ++++++++++++++++++++++++++++++-- R/01_pca.mfd.R | 126 ++++------------ R/02_fof_pc.R | 30 +++- R/02_sof_pc.R | 11 + R/03_phaseI_training.R | 90 ++++++------ R/04_phaseII.R | 25 --- R/05_fault_detection.R | 10 - R/funcharts.R | 7 R/real_time_04_phaseII.R | 17 +- R/simulate.R |only R/sysdata.rda |only README.md | 11 - build/vignette.rds |binary inst/doc/capezza2020.Rmd | 6 inst/doc/capezza2020.html | 8 - inst/doc/centofanti2020.Rmd | 4 inst/doc/centofanti2020.html | 6 inst/doc/mfd.html | 1 man/control_charts_pca.Rd | 28 ++- man/control_charts_pca_mfd_real_time.Rd | 11 + man/inprod_mfd_diag.Rd |only man/predict_fof_pc.Rd | 12 + man/simulate_mfd.Rd |only tests/testthat/test_mfd.R | 56 +++++++ tests/testthat/test_phaseII.R | 14 - vignettes/capezza2020.Rmd | 6 vignettes/centofanti2020.Rmd | 4 31 files changed, 549 insertions(+), 244 deletions(-)
Title: Meta-Analysis of RNA-Seq Data
Description: Implementation of two p-value combination techniques (inverse normal and Fisher methods). A vignette is provided to explain how to perform a meta-analysis from two independent RNA-seq experiments.
Author: Guillemette Marot [aut, cre], Andrea Rau [aut, cre], Florence Jaffrezic [aut], Samuel Blanck [ctb]
Maintainer: samuel Blanck <samuel.blanck@univ-lille.fr>
Diff between metaRNASeq versions 1.0.5 dated 2021-03-15 and 1.0.7 dated 2021-10-01
metaRNASeq-1.0.5/metaRNASeq/vignettes/venn_jpeg.jpg |only metaRNASeq-1.0.7/metaRNASeq/DESCRIPTION | 10 +++++----- metaRNASeq-1.0.7/metaRNASeq/MD5 | 9 ++++----- metaRNASeq-1.0.7/metaRNASeq/R/invnorm.R | 2 +- metaRNASeq-1.0.7/metaRNASeq/build/vignette.rds |binary metaRNASeq-1.0.7/metaRNASeq/inst/doc/metaRNASeq.pdf |binary 6 files changed, 10 insertions(+), 11 deletions(-)
Title: Mail Merge Using R Markdown Documents and 'gmailr'
Description: Perform a mail merge (mass email) using the message defined in
markdown, the recipients in a 'csv' file, and gmail as the mailing engine.
With this package you can parse markdown documents as the body of email, and
the 'yaml' header to specify the subject line of the email. Any '{}' braces
in the email will be encoded with 'glue::glue()'. You can preview the email
in the RStudio viewer pane, and send (draft) email using 'gmailr'.
Author: Andrie de Vries [aut, cre]
Maintainer: Andrie de Vries <apdevries@gmail.com>
Diff between mailmerge versions 0.2.2 dated 2021-09-20 and 0.2.3 dated 2021-10-01
DESCRIPTION | 16 ++++++++-------- MD5 | 12 ++++++------ NEWS.md | 4 ++++ R/googledocs.R | 4 +++- README.md | 8 ++------ inst/WORDLIST | 1 + man/mailmerge-package.Rd | 10 +++++----- 7 files changed, 29 insertions(+), 26 deletions(-)
Title: Behavioral Scientists' Analysis Toolkit
Description: Miscellaneous functions to simplify and expedite analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance. Many of the functions will require installing package(s) listed in the Selected References. Selected References: Canty & Ripley (2021) <https://CRAN.R-project.org/package=boot>. Chen & Popovich (2002) <doi:10.4135/9781412983808>. Cohen (1988) <doi:10.4324/9780203771587>. DeCarlo (1997) <doi:10.1037/1082-989X.2.3.292>. Dinno (2018) <https://CRAN.R-project.org/package=paran>. Doane & Seward (2011) <doi:10.1080/10691898.2011.11889611>. Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Edwards et al. (2020) <https://CRAN.R-project.org/package=lemon>. Field (2001). <doi:10.1037/1082-989X.6.2.161> Fox et al. (2020) <https://CRAN.R-project.org/package=car>. Hedges & Olkin (1985, ISBN: 0123363802) Hester et al. (2020) <https://CRAN.R-project.org/package=remotes>. Ioannidis (2005) <doi:10.1371/journal.pmed.0020124> Kim (2021) <doi:10.5281/zenodo.4445388>. Kim (2020) <https://CRAN.R-project.org/package=ezr>. Long (2020) <https://CRAN.R-project.org/package=interactions>. Mair & Wilcox (2021) <https://CRAN.R-project.org/package=WRS2>. Pasek et al. (2020) <https://CRAN.R-project.org/package=weights>. Simmons et al. (2011) <doi:10.1177/0956797611417632>. Steiger (1980) <doi:10.1037/0033-2909.87.2.245> Tingley et al. (2019) <https://CRAN.R-project.org/package=mediation>. Torchiano (2020) <https://CRAN.R-project.org/package=effsize>. Wickham et al. (2020) <https://CRAN.R-project.org/package=ggplot2>. Wilke (2021) <https://CRAN.R-project.org/package=ggridges>.
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>
Diff between kim versions 0.3.13 dated 2021-04-24 and 0.4.21 dated 2021-10-01
kim-0.3.13/kim/R/chi_square_test_pairwise.R |only kim-0.3.13/kim/man/chi_square_test_pairwise.Rd |only kim-0.4.21/kim/DESCRIPTION | 35 -- kim-0.4.21/kim/MD5 | 190 ++++++---- kim-0.4.21/kim/NAMESPACE | 23 + kim-0.4.21/kim/NEWS.md | 23 + kim-0.4.21/kim/R/barplot_for_counts.R | 96 ++--- kim-0.4.21/kim/R/chi_squared_test_pairwise.R |only kim-0.4.21/kim/R/clean_data_from_qualtrics.R | 399 +++++++++++++++++------ kim-0.4.21/kim/R/cohen_d.R | 2 kim-0.4.21/kim/R/combine_data_across_cols.R |only kim-0.4.21/kim/R/compare_dependent_rs.R |only kim-0.4.21/kim/R/compare_groups.R | 2 kim-0.4.21/kim/R/cum_percent_plot.R | 33 - kim-0.4.21/kim/R/desc_stats.R | 2 kim-0.4.21/kim/R/desc_stats_by_group.R | 4 kim-0.4.21/kim/R/detach_user_installed_pkgs.R |only kim-0.4.21/kim/R/duplicated_values.R |only kim-0.4.21/kim/R/exit_from_parent_function.R |only kim-0.4.21/kim/R/find_duplicates.R | 5 kim-0.4.21/kim/R/fisher_z_transform.R |only kim-0.4.21/kim/R/floodlight_2_by_continuous.R | 97 +++-- kim-0.4.21/kim/R/ggsave_quick.R | 3 kim-0.4.21/kim/R/histogram.R | 25 - kim-0.4.21/kim/R/histogram_by_group.R | 64 +-- kim-0.4.21/kim/R/histogram_w_outlier_bins.R | 40 +- kim-0.4.21/kim/R/id_across_datasets.R | 2 kim-0.4.21/kim/R/logistic_reg_w_interaction.R |only kim-0.4.21/kim/R/logistic_regression.R |only kim-0.4.21/kim/R/logistic_regression_table.R |only kim-0.4.21/kim/R/mann_whitney.R | 2 kim-0.4.21/kim/R/mediation_analysis.R | 2 kim-0.4.21/kim/R/merge_data_tables.R | 78 ++-- kim-0.4.21/kim/R/multiple_regression.R | 68 ++- kim-0.4.21/kim/R/onAttach.R | 1 kim-0.4.21/kim/R/outlier.R |only kim-0.4.21/kim/R/parallel_analysis.R | 80 +--- kim-0.4.21/kim/R/pivot_table.R |only kim-0.4.21/kim/R/plot_group_means.R | 36 -- kim-0.4.21/kim/R/pm.R |only kim-0.4.21/kim/R/prep.R | 20 - kim-0.4.21/kim/R/pretty_round_p_value.R | 47 +- kim-0.4.21/kim/R/pretty_round_r.R |only kim-0.4.21/kim/R/q_stat_test_homo_r.R |only kim-0.4.21/kim/R/read_csv.R | 11 kim-0.4.21/kim/R/read_sole_csv.R | 2 kim-0.4.21/kim/R/regex_match.R | 10 kim-0.4.21/kim/R/remove_from_vector.R |only kim-0.4.21/kim/R/replace_values_in_dt.R |only kim-0.4.21/kim/R/robust_regression.R | 2 kim-0.4.21/kim/R/round_flexibly.R | 121 +++++- kim-0.4.21/kim/R/scatterplot.R | 98 +++-- kim-0.4.21/kim/R/score_scale_items.R | 52 +- kim-0.4.21/kim/R/su.R | 18 - kim-0.4.21/kim/R/t_test_pairwise.R | 12 kim-0.4.21/kim/R/tabulate_vector.R | 2 kim-0.4.21/kim/R/theme_kim.R | 30 - kim-0.4.21/kim/R/tv.R |only kim-0.4.21/kim/R/two_way_anova.R | 62 +-- kim-0.4.21/kim/R/unload_user_installed_pkgs.R |only kim-0.4.21/kim/R/weighted_mean_r.R |only kim-0.4.21/kim/R/weighted_z.R |only kim-0.4.21/kim/R/wilcoxon_rank_sum_test.R | 2 kim-0.4.21/kim/R/z_to_r_transform.R |only kim-0.4.21/kim/README.md | 2 kim-0.4.21/kim/build/partial.rdb |binary kim-0.4.21/kim/inst/CITATION | 4 kim-0.4.21/kim/man/barplot_for_counts.Rd | 13 kim-0.4.21/kim/man/change_var_names.Rd | 90 ++--- kim-0.4.21/kim/man/check_req_pkg.Rd | 50 +- kim-0.4.21/kim/man/chi_squared_test_pairwise.Rd |only kim-0.4.21/kim/man/clean_data_from_qualtrics.Rd | 4 kim-0.4.21/kim/man/cohen_d.Rd | 2 kim-0.4.21/kim/man/combine_data_across_cols.Rd |only kim-0.4.21/kim/man/compare_dependent_rs.Rd |only kim-0.4.21/kim/man/compare_groups.Rd | 2 kim-0.4.21/kim/man/cum_percent_plot.Rd | 2 kim-0.4.21/kim/man/detach_user_installed_pkgs.Rd |only kim-0.4.21/kim/man/duplicated_values.Rd |only kim-0.4.21/kim/man/exit_from_parent_function.Rd |only kim-0.4.21/kim/man/find_duplicates.Rd | 2 kim-0.4.21/kim/man/fisher_z_transform.Rd |only kim-0.4.21/kim/man/floodlight_2_by_continuous.Rd | 14 kim-0.4.21/kim/man/histogram.Rd | 2 kim-0.4.21/kim/man/histogram_by_group.Rd | 2 kim-0.4.21/kim/man/histogram_w_outlier_bins.Rd | 2 kim-0.4.21/kim/man/id_across_datasets.Rd | 2 kim-0.4.21/kim/man/install_all_dependencies.Rd | 40 +- kim-0.4.21/kim/man/kurtosis.Rd | 70 ++-- kim-0.4.21/kim/man/logistic_reg_w_interaction.Rd |only kim-0.4.21/kim/man/logistic_regression.Rd |only kim-0.4.21/kim/man/logistic_regression_table.Rd |only kim-0.4.21/kim/man/merge_data_tables.Rd | 20 - kim-0.4.21/kim/man/multiple_regression.Rd | 14 kim-0.4.21/kim/man/outlier.Rd |only kim-0.4.21/kim/man/parallel_analysis.Rd | 5 kim-0.4.21/kim/man/pivot_table.Rd |only kim-0.4.21/kim/man/plot_group_means.Rd | 2 kim-0.4.21/kim/man/pm.Rd |only kim-0.4.21/kim/man/pretty_round_p_value.Rd | 9 kim-0.4.21/kim/man/pretty_round_r.Rd |only kim-0.4.21/kim/man/q_stat_test_homo_r.Rd |only kim-0.4.21/kim/man/regex_match.Rd | 8 kim-0.4.21/kim/man/remove_from_vector.Rd |only kim-0.4.21/kim/man/remove_user_installed_pkgs.Rd | 66 +-- kim-0.4.21/kim/man/replace_values_in_dt.Rd |only kim-0.4.21/kim/man/robust_regression.Rd | 2 kim-0.4.21/kim/man/round_flexibly.Rd | 116 +++--- kim-0.4.21/kim/man/scatterplot.Rd | 22 + kim-0.4.21/kim/man/score_scale_items.Rd | 23 - kim-0.4.21/kim/man/setwd_to_active_doc.Rd | 40 +- kim-0.4.21/kim/man/skewness.Rd | 78 ++-- kim-0.4.21/kim/man/su.Rd | 53 +-- kim-0.4.21/kim/man/tv.Rd |only kim-0.4.21/kim/man/two_way_anova.Rd | 5 kim-0.4.21/kim/man/unload_user_installed_pkgs.Rd |only kim-0.4.21/kim/man/weighted_mean_r.Rd |only kim-0.4.21/kim/man/weighted_z.Rd |only kim-0.4.21/kim/man/z_to_r_transform.Rd |only 119 files changed, 1546 insertions(+), 1021 deletions(-)
Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified
interface for model fitting, prediction, performance assessment, and
presentation of results. Approaches for model fitting and prediction of
numerical, categorical, or censored time-to-event outcomes include
traditional regression models, regularization methods, tree-based methods,
support vector machines, neural networks, ensembles, data preprocessing,
filtering, and model tuning and selection. Performance metrics are provided
for model assessment and can be estimated with independent test sets, split
sampling, cross-validation, or bootstrap resampling. Resample estimation
can be executed in parallel for faster processing and nested in cases of
model tuning and selection. Modeling results can be summarized with
descriptive statistics; calibration curves; variable importance; partial
dependence plots; confusion matrices; and ROC, lift, and other performance
curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Diff between MachineShop versions 3.0.0 dated 2021-08-19 and 3.1.0 dated 2021-10-01
DESCRIPTION | 10 MD5 | 122 ++--- NAMESPACE | 6 NEWS.md | 14 R/MLControl.R | 47 +- R/ML_BARTMachineModel.R | 8 R/ML_C50Model.R | 8 R/ML_EarthModel.R | 20 R/ML_RFSRCModel.R | 8 R/ML_StackedModel.R | 5 R/ML_SuperModel.R | 8 R/ML_XGBModel.R | 8 R/TrainedInputs.R | 6 R/TrainedModels.R | 2 R/classes.R | 3 R/combine.R | 8 R/conditions.R | 11 R/dependence.R | 23 R/diff.R | 44 + R/metrics.R | 12 R/metrics_factor.R | 4 R/modelinfo.R | 4 R/performance.R | 16 R/predictors.R | 4 R/print.R | 4 R/resample.R | 25 - R/response.R | 2 R/settings.R | 9 R/step_kmeans.R | 21 R/step_kmedoids.R | 11 R/step_spca.R | 5 R/summary.R | 2 R/survival.R | 3 R/utils.R | 89 ++- R/varimp.R | 193 +++++++- README.md | 3 build/vignette.rds |binary inst/doc/UsersGuide.R | 4 inst/doc/UsersGuide.Rmd | 54 ++ inst/doc/UsersGuide.html | 977 ++++++++++++++++++++++-------------------- man/BARTMachineModel.Rd | 4 man/C50Model.Rd | 4 man/EarthModel.Rd | 16 man/MLControl.Rd | 53 +- man/MachineShop-package.Rd | 15 man/RFSRCModel.Rd | 4 man/StackedModel.Rd | 3 man/SuperModel.Rd | 5 man/XGBModel.Rd | 4 man/dependence.Rd | 6 man/modelinfo.Rd | 4 man/settings.Rd | 3 man/step_kmeans.Rd | 21 man/step_kmedoids.Rd | 11 man/step_spca.Rd | 5 man/t.test.Rd | 31 + man/varimp.Rd | 49 ++ tests/testthat/Rplots.pdf |binary tests/testthat/test-varimp.R |only tests/testthat/test-weights.R |only vignettes/UsersGuide.Rmd | 54 ++ vignettes/bibliography.bib | 28 + vignettes/setup.R | 1 63 files changed, 1308 insertions(+), 816 deletions(-)
Title: Coarsened Variable Modeling
Description: Extends R's implementation of categorical variables (factors)
to handle coarsened observations; implements log-linear models for
coarsened categorical data, including latent-class models. Detailed
information and examples are provided in the package vignettes.
Author: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Maintainer: Joseph L. Schafer <Joseph.L.Schafer@census.gov>
Diff between cvam versions 0.9.0 dated 2021-09-23 and 0.9.1 dated 2021-10-01
ChangeLog |only DESCRIPTION | 10 MD5 | 36 - NEWS | 5 R/cvamMlogit.R |only R/cvamModel.R | 36 - R/sysdata.rda |binary build/partial.rdb |binary inst/doc/FittingLogLinearModelsInCvam.pdf |binary inst/doc/UnderstandingCoarsenedFactorsInCvam.pdf |binary src/cvam.f90 | 185 ++++- src/cvam_engine.f90 | 825 ++++++++++++++++++++++- src/cvam_init.c | 20 src/error_handler.f90 | 4 src/icodes_2.h | 10 src/icodes_3.h | 16 tests/UCBAdmissionsTests.Rout.save | 8 tests/abortion2000Tests.Rout.save | 8 tests/crimeTests.Rout.save | 8 tests/hivtestTests.Rout.save | 8 20 files changed, 1107 insertions(+), 72 deletions(-)
Title: Joint Feature Screening via Sparse MLE
Description: Feature screening is a powerful tool in processing ultrahigh dimensional data. It attempts to screen out most irrelevant features in preparation for a more elaborate analysis. Xu and Chen (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening method SMLE, which naturally incorporates the joint effects among features in the screening process. This package provides an efficient implementation of SMLE-screening for high-dimensional linear, logistic, and Poisson models. The package also provides a function for conducting accurate post-screening feature selection based on an iterative hard-thresholding procedure and a user-specified selection criterion.
Author: Qianxiang Zang [aut, cre],
Chen Xu [aut],
Kelly Burkett [aut],
Maintainer: Qianxiang Zang <qzang023@uottawa.ca>
Diff between SMLE versions 2.0-0 dated 2021-09-24 and 2.0-1 dated 2021-10-01
SMLE-2.0-0/SMLE/R/standardize.R |only SMLE-2.0-1/SMLE/DESCRIPTION | 6 SMLE-2.0-1/SMLE/MD5 | 13 - SMLE-2.0-1/SMLE/R/SMLE.R | 66 +++-- SMLE-2.0-1/SMLE/R/dummy.R | 2 SMLE-2.0-1/SMLE/R/ult.R | 460 ++++++++++++++++++------------------ SMLE-2.0-1/SMLE/man/SMLE-package.Rd | 2 SMLE-2.0-1/SMLE/man/SMLE.Rd | 10 8 files changed, 299 insertions(+), 260 deletions(-)
Title: Include Azure Application Insights in Shiny Apps
Description: Imports Azure Application Insights for web pages into Shiny apps
via Microsoft's JavaScript snippet.
Allows app developers to submit page tracking and submit events.
Author: Stefan McKinnon Høj-Edwards [aut, cre],
Kamstrup A/S [cph]
Maintainer: Stefan McKinnon Høj-Edwards <smhe@kamstrup.dk>
Diff between AzureAppInsights versions 0.2.0 dated 2021-09-15 and 0.3.0 dated 2021-10-01
AzureAppInsights-0.2.0/AzureAppInsights/inst/www/LICENSE.txt |only AzureAppInsights-0.2.0/AzureAppInsights/inst/www/ai.2.min.js |only AzureAppInsights-0.2.0/AzureAppInsights/inst/www/azure_insights_loader_v5.js |only AzureAppInsights-0.2.0/AzureAppInsights/man/trackEvent.Rd |only AzureAppInsights-0.3.0/AzureAppInsights/DESCRIPTION | 10 - AzureAppInsights-0.3.0/AzureAppInsights/MD5 | 20 ++- AzureAppInsights-0.3.0/AzureAppInsights/NAMESPACE | 1 AzureAppInsights-0.3.0/AzureAppInsights/NEWS.md | 8 + AzureAppInsights-0.3.0/AzureAppInsights/R/demo.R |only AzureAppInsights-0.3.0/AzureAppInsights/R/include_snippet.R | 53 ---------- AzureAppInsights-0.3.0/AzureAppInsights/R/tracking.R |only AzureAppInsights-0.3.0/AzureAppInsights/inst/www/ApplicationInsights-JS |only AzureAppInsights-0.3.0/AzureAppInsights/inst/www/azure_insights_loader_v2.js |only AzureAppInsights-0.3.0/AzureAppInsights/man/tracking.Rd |only AzureAppInsights-0.3.0/AzureAppInsights/tests/testthat/test-tracking.R |only 15 files changed, 28 insertions(+), 64 deletions(-)
More information about AzureAppInsights at CRAN
Permanent link
Title: Excel Connector for R
Description: Provides comprehensive functionality to read, write and format Excel data.
Author: Mirai Solutions GmbH [aut],
Martin Studer [cre],
The Apache Software Foundation [ctb, cph] (Apache POI),
Graph Builder [ctb, cph] (Curvesapi Java library),
Brett Woolridge [ctb, cph] (SparseBitSet Java library)
Maintainer: Martin Studer <martin.studer@mirai-solutions.com>
Diff between XLConnect versions 1.0.4 dated 2021-07-29 and 1.0.5 dated 2021-10-01
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS | 2 ++ R/onLoad.R | 2 +- README.md | 8 +++++++- build/vignette.rds |binary inst/doc/XLConnect.pdf |binary inst/doc/XLConnectImpatient.pdf |binary 8 files changed, 21 insertions(+), 13 deletions(-)
Title: Compute Energy Landscapes
Description: Compute energy landscapes using a digital elevation model raster and body mass of animals. Vignette available at: <https://emilio-berti.github.io/enerscape.html>.
Author: Emilio Berti
Maintainer: Emilio Berti <emilio.berti@idiv.de>
Diff between enerscape versions 0.1.2 dated 2021-09-06 and 0.1.3 dated 2021-10-01
DESCRIPTION | 6 +++--- MD5 | 6 +++--- R/en_path.R | 1 + build/partial.rdb |binary 4 files changed, 7 insertions(+), 6 deletions(-)
Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality,
which are not directly provided by R's 'base' or 'stats' packages.
These include e.g. measures like r-squared, intraclass correlation
coefficient (Nakagawa, Johnson & Schielzeth (2017)
<doi:10.1098/rsif.2017.0213>), root mean squared error or functions to
check models for overdispersion, singularity or zero-inflation and
more. Functions apply to a large variety of regression models,
including generalized linear models, mixed effects models and Bayesian
models.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>,
@strengejacke),
Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>,
@Dom_Makowski),
Mattan S. Ben-Shachar [aut, ctb]
(<https://orcid.org/0000-0002-4287-4801>, @mattansb),
Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>,
@patilindrajeets),
Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>),
Brenton M. Wiernik [aut, ctb] (<https://orcid.org/0000-0001-9560-6336>,
@bmwiernik),
Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>),
Martin Jullum [rev],
gjo11 [rev]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Diff between performance versions 0.7.3 dated 2021-07-21 and 0.8.0 dated 2021-10-01
performance-0.7.3/performance/man/pp_check.Rd |only performance-0.8.0/performance/DESCRIPTION | 22 performance-0.8.0/performance/MD5 | 338 +++++----- performance-0.8.0/performance/NAMESPACE | 44 - performance-0.8.0/performance/NEWS.md | 35 + performance-0.8.0/performance/R/binned_residuals.R | 24 performance-0.8.0/performance/R/check_collinearity.R | 56 - performance-0.8.0/performance/R/check_convergence.R | 26 performance-0.8.0/performance/R/check_distribution.R | 20 performance-0.8.0/performance/R/check_heterogeneity_bias.R |only performance-0.8.0/performance/R/check_heteroscedasticity.R | 4 performance-0.8.0/performance/R/check_homogeneity.R | 16 performance-0.8.0/performance/R/check_itemscale.R | 30 performance-0.8.0/performance/R/check_model.R | 82 ++ performance-0.8.0/performance/R/check_multimodal.R |only performance-0.8.0/performance/R/check_normality.R | 13 performance-0.8.0/performance/R/check_outliers.R | 88 +- performance-0.8.0/performance/R/check_overdispersion.R | 18 performance-0.8.0/performance/R/check_singularity.R | 6 performance-0.8.0/performance/R/check_sphericity.R | 2 performance-0.8.0/performance/R/check_zeroinflation.R | 23 performance-0.8.0/performance/R/compare_performance.R | 130 +++ performance-0.8.0/performance/R/cronbachs_alpha.R | 4 performance-0.8.0/performance/R/display.R | 14 performance-0.8.0/performance/R/format.R | 7 performance-0.8.0/performance/R/icc.R | 54 - performance-0.8.0/performance/R/item_difficulty.R | 6 performance-0.8.0/performance/R/item_intercor.R | 17 performance-0.8.0/performance/R/item_reliability.R | 12 performance-0.8.0/performance/R/item_split_half.R | 8 performance-0.8.0/performance/R/logLik.R | 10 performance-0.8.0/performance/R/looic.R | 18 performance-0.8.0/performance/R/model_performance.R | 18 performance-0.8.0/performance/R/model_performance.bayesian.R | 86 +- performance-0.8.0/performance/R/model_performance.ivreg.R | 5 performance-0.8.0/performance/R/model_performance.kmeans.R | 2 performance-0.8.0/performance/R/model_performance.lavaan.R | 32 performance-0.8.0/performance/R/model_performance.lm.R | 32 performance-0.8.0/performance/R/model_performance.mixed.R | 14 performance-0.8.0/performance/R/model_performance.rma.R | 36 - performance-0.8.0/performance/R/performance_accuracy.R | 10 performance-0.8.0/performance/R/performance_aicc.R | 4 performance-0.8.0/performance/R/performance_hosmer.R | 10 performance-0.8.0/performance/R/performance_logloss.R | 6 performance-0.8.0/performance/R/performance_mae.R | 2 performance-0.8.0/performance/R/performance_mse.R | 2 performance-0.8.0/performance/R/performance_pcp.R | 6 performance-0.8.0/performance/R/performance_rmse.R | 2 performance-0.8.0/performance/R/performance_roc.R | 18 performance-0.8.0/performance/R/performance_rse.R | 2 performance-0.8.0/performance/R/performance_score.R | 16 performance-0.8.0/performance/R/plot-methods.R | 8 performance-0.8.0/performance/R/pp_check.R | 184 +++-- performance-0.8.0/performance/R/print-methods.R | 34 - performance-0.8.0/performance/R/r2.R | 82 +- performance-0.8.0/performance/R/r2_bayes.R | 28 performance-0.8.0/performance/R/r2_ci.R |only performance-0.8.0/performance/R/r2_coxsnell.R | 45 - performance-0.8.0/performance/R/r2_efron.R | 8 performance-0.8.0/performance/R/r2_kl.R | 8 performance-0.8.0/performance/R/r2_loo.R | 202 ++++- performance-0.8.0/performance/R/r2_mcfadden.R | 14 performance-0.8.0/performance/R/r2_mckelvey.R | 6 performance-0.8.0/performance/R/r2_nagelkerke.R | 11 performance-0.8.0/performance/R/r2_nakagawa.R | 10 performance-0.8.0/performance/R/r2_tjur.R | 4 performance-0.8.0/performance/R/r2_xu.R | 9 performance-0.8.0/performance/R/r2_zeroinflated.R | 16 performance-0.8.0/performance/R/residuals.R | 2 performance-0.8.0/performance/R/skewness_kurtosis.R | 6 performance-0.8.0/performance/R/test_likelihoodratio.R | 10 performance-0.8.0/performance/R/test_performance.R | 62 - performance-0.8.0/performance/README.md | 67 - performance-0.8.0/performance/build/partial.rdb |binary performance-0.8.0/performance/inst/WORDLIST | 20 performance-0.8.0/performance/man/binned_residuals.Rd | 39 - performance-0.8.0/performance/man/check_collinearity.Rd | 108 +-- performance-0.8.0/performance/man/check_convergence.Rd | 66 - performance-0.8.0/performance/man/check_distribution.Rd | 17 performance-0.8.0/performance/man/check_heterogeneity_bias.Rd |only performance-0.8.0/performance/man/check_heteroscedasticity.Rd | 8 performance-0.8.0/performance/man/check_homogeneity.Rd | 2 performance-0.8.0/performance/man/check_itemscale.Rd | 38 - performance-0.8.0/performance/man/check_model.Rd | 20 performance-0.8.0/performance/man/check_multimodal.Rd |only performance-0.8.0/performance/man/check_normality.Rd | 8 performance-0.8.0/performance/man/check_outliers.Rd | 207 +++--- performance-0.8.0/performance/man/check_overdispersion.Rd | 22 performance-0.8.0/performance/man/check_predictions.Rd |only performance-0.8.0/performance/man/check_singularity.Rd | 86 +- performance-0.8.0/performance/man/check_sphericity.Rd | 2 performance-0.8.0/performance/man/check_zeroinflation.Rd | 10 performance-0.8.0/performance/man/compare_performance.Rd | 66 + performance-0.8.0/performance/man/cronbachs_alpha.Rd | 18 performance-0.8.0/performance/man/display.performance_model.Rd | 88 +- performance-0.8.0/performance/man/figures/logo.png |binary performance-0.8.0/performance/man/figures/unnamed-chunk-14-1.png |only performance-0.8.0/performance/man/figures/unnamed-chunk-20-1.png |only performance-0.8.0/performance/man/icc.Rd | 162 ++-- performance-0.8.0/performance/man/item_difficulty.Rd | 14 performance-0.8.0/performance/man/item_intercor.Rd | 32 performance-0.8.0/performance/man/item_reliability.Rd | 8 performance-0.8.0/performance/man/item_split_half.Rd | 12 performance-0.8.0/performance/man/looic.Rd | 6 performance-0.8.0/performance/man/model_performance.Rd | 84 +- performance-0.8.0/performance/man/model_performance.ivreg.Rd | 4 performance-0.8.0/performance/man/model_performance.lavaan.Rd | 121 +-- performance-0.8.0/performance/man/model_performance.lm.Rd | 26 performance-0.8.0/performance/man/model_performance.merMod.Rd | 15 performance-0.8.0/performance/man/model_performance.rma.Rd | 59 - performance-0.8.0/performance/man/model_performance.stanreg.Rd | 55 - performance-0.8.0/performance/man/performance_accuracy.Rd | 26 performance-0.8.0/performance/man/performance_hosmer.Rd | 8 performance-0.8.0/performance/man/performance_logloss.Rd | 72 +- performance-0.8.0/performance/man/performance_mse.Rd | 8 performance-0.8.0/performance/man/performance_pcp.Rd | 56 - performance-0.8.0/performance/man/performance_rmse.Rd | 94 +- performance-0.8.0/performance/man/performance_roc.Rd | 8 performance-0.8.0/performance/man/performance_rse.Rd | 52 - performance-0.8.0/performance/man/performance_score.Rd | 6 performance-0.8.0/performance/man/r2.Rd | 48 - performance-0.8.0/performance/man/r2_bayes.Rd | 34 - performance-0.8.0/performance/man/r2_coxsnell.Rd | 28 performance-0.8.0/performance/man/r2_efron.Rd | 72 +- performance-0.8.0/performance/man/r2_kullback.Rd | 57 - performance-0.8.0/performance/man/r2_loo.Rd | 89 +- performance-0.8.0/performance/man/r2_mcfadden.Rd | 9 performance-0.8.0/performance/man/r2_mckelvey.Rd | 16 performance-0.8.0/performance/man/r2_nakagawa.Rd | 42 - performance-0.8.0/performance/man/r2_somers.Rd | 2 performance-0.8.0/performance/man/r2_tjur.Rd | 56 - performance-0.8.0/performance/man/r2_xu.Rd | 60 - performance-0.8.0/performance/man/r2_zeroinflated.Rd | 82 +- performance-0.8.0/performance/man/test_performance.Rd | 102 +-- performance-0.8.0/performance/tests/testthat.R | 18 performance-0.8.0/performance/tests/testthat/helper-requiet.R |only performance-0.8.0/performance/tests/testthat/test-backticks.R | 2 performance-0.8.0/performance/tests/testthat/test-check_collinearity.R | 38 - performance-0.8.0/performance/tests/testthat/test-check_convergence.R | 2 performance-0.8.0/performance/tests/testthat/test-check_homogeneity.R | 2 performance-0.8.0/performance/tests/testthat/test-check_normality.R | 2 performance-0.8.0/performance/tests/testthat/test-check_overdispersion.R | 2 performance-0.8.0/performance/tests/testthat/test-check_singularity.R | 2 performance-0.8.0/performance/tests/testthat/test-check_sphericity.R | 2 performance-0.8.0/performance/tests/testthat/test-check_zeroinflation.R | 2 performance-0.8.0/performance/tests/testthat/test-compare_performance.R | 8 performance-0.8.0/performance/tests/testthat/test-coxph.R | 2 performance-0.8.0/performance/tests/testthat/test-cronbachs_alpha.R | 2 performance-0.8.0/performance/tests/testthat/test-icc.R | 2 performance-0.8.0/performance/tests/testthat/test-item_difficulty.R | 2 performance-0.8.0/performance/tests/testthat/test-item_intercor.R | 2 performance-0.8.0/performance/tests/testthat/test-item_reliability.R | 2 performance-0.8.0/performance/tests/testthat/test-item_splithalf.R | 2 performance-0.8.0/performance/tests/testthat/test-model_performance-various.R | 14 performance-0.8.0/performance/tests/testthat/test-model_performance.bayesian.R | 26 performance-0.8.0/performance/tests/testthat/test-model_performance.gam.R | 2 performance-0.8.0/performance/tests/testthat/test-model_performance.kmeans.R | 2 performance-0.8.0/performance/tests/testthat/test-model_performance.lm.R | 2 performance-0.8.0/performance/tests/testthat/test-model_performance.merMod.R | 2 performance-0.8.0/performance/tests/testthat/test-model_performance.rma.R | 2 performance-0.8.0/performance/tests/testthat/test-performance_roc.R | 6 performance-0.8.0/performance/tests/testthat/test-r2_bayes.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_coxsnell.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_kullback.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_mcfadden.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_nagelkerke.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_nakagawa.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_tjur.R | 2 performance-0.8.0/performance/tests/testthat/test-r2_zeroinflated.R | 2 performance-0.8.0/performance/tests/testthat/test-rmse.R | 2 performance-0.8.0/performance/tests/testthat/test-roc.R | 2 performance-0.8.0/performance/tests/testthat/test-test_likelihoodratio.R | 6 performance-0.8.0/performance/tests/testthat/test-test_performance.R | 6 performance-0.8.0/performance/tests/testthat/test-test_vuong.R | 6 performance-0.8.0/performance/tests/testthat/test-test_wald.R | 8 175 files changed, 2755 insertions(+), 2137 deletions(-)
Title: Quickly Get Datetime Data Ready for Analysis
Description: Transforms datetime data into a format ready for analysis.
It offers two core functionalities; aggregating data to a higher level interval
(thicken) and imputing records where observations were absent (pad).
Author: Edwin Thoen
Maintainer: Edwin Thoen <edwinthoen@gmail.com>
Diff between padr versions 0.5.3 dated 2020-09-12 and 0.6.0 dated 2021-10-01
DESCRIPTION | 10 +- MD5 | 36 +++---- NEWS.md | 24 ++++ R/get_interval.R | 5 + R/pad.R | 16 ++- R/thicken.R | 16 +-- R/thicken_cust.R | 2 R/thicken_helpers.R | 8 + README.md | 48 ++++++--- build/vignette.rds |binary inst/doc/padr.html | 180 ++++++++++++++++++++----------------- inst/doc/padr_custom.html | 108 ++++++++++++---------- inst/doc/padr_implementation.html | 62 ++++++++---- man/pad.Rd | 7 - man/thicken.Rd | 4 tests/testthat/test_pad.R | 28 +++++ tests/testthat/test_span.R | 20 ++-- tests/testthat/test_thicken.R | 42 +++++--- tests/testthat/test_thicken_cust.R | 14 ++ 19 files changed, 395 insertions(+), 235 deletions(-)
Title: Accelerated Failure Time for High Dimensional Data with MCMC
Description: Functions for Posterior estimates of Accelerated Failure Time(AFT) model with MCMC and Maximum likelihood estimates of AFT model without MCMC for univariate and multivariate analysis in high dimensional gene expression data are available in this 'afthd' package.
AFT model with Bayesian framework for multivariate in high dimensional data has been proposed by Prabhash et al.(2016)
<doi:10.21307/stattrans-2016-046>.
Author: Atanu Bhattacharjee [aut, cre, ctb],
Gajendra Kumar Vishwakarma [aut, ctb],
Pragya Kumari [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Diff between afthd versions 0.1.0 dated 2021-05-31 and 1.1.0 dated 2021-10-01
DESCRIPTION | 19 ++++------- MD5 | 36 ++++++++++----------- R/aftbybmv.R | 93 +++++++++++++++++++++++++++++++------------------------ R/lgnbymv.R | 24 ++++++++------ R/lgnbyuni.R | 12 ++++--- R/lgstbymv.R | 45 ++++++++++++++------------ R/lgstbyuni.R | 22 +++++++------ R/rglaft.R | 2 + R/rglwbysm.R | 26 ++++++++++----- R/rglwbysu.R | 23 ++++++++----- R/wbyAgmv.R | 21 ++++++++---- R/wbyscrkm.R | 53 ++++++++++++++++++++----------- R/wbyscrku.R | 26 ++++++++++----- R/wbysmv.R | 38 +++++++++++++--------- R/wbysuni.R | 14 ++++---- man/lgstbyuni.Rd | 2 - man/rglaft.Rd | 1 man/rglwbysm.Rd | 1 man/rglwbysu.Rd | 1 19 files changed, 273 insertions(+), 186 deletions(-)
Title: VPC Percentiles and Prediction Intervals
Description: Perform a Visual Predictive Check (VPC), while accounting for
stratification, censoring, and prediction correction. Using piping from
'magrittr', the intuitive syntax gives users a flexible and powerful method
to generate VPCs using both traditional binning and a new binless approach
Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile
Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS)
prediction correction.
Author: Olivier Barriere [aut],
Benjamin Rich [aut],
James Craig [aut, cre],
Samer Mouksassi [aut],
Kris Jamsen [ctb],
Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Diff between tidyvpc versions 1.1.0 dated 2020-09-29 and 1.2.0 dated 2021-10-01
tidyvpc-1.1.0/tidyvpc/inst/doc/tidyvpc.R |only tidyvpc-1.1.0/tidyvpc/inst/doc/tidyvpc.Rmd |only tidyvpc-1.1.0/tidyvpc/inst/doc/tidyvpc.html |only tidyvpc-1.1.0/tidyvpc/inst/plotfunction.R |only tidyvpc-1.1.0/tidyvpc/inst/prepare_vpc.R |only tidyvpc-1.1.0/tidyvpc/inst/vpc_app.r |only tidyvpc-1.1.0/tidyvpc/man/plot.Rd |only tidyvpc-1.1.0/tidyvpc/man/runShinyVPC.Rd |only tidyvpc-1.1.0/tidyvpc/vignettes/tidyvpc.Rmd |only tidyvpc-1.2.0/tidyvpc/DESCRIPTION | 30 tidyvpc-1.2.0/tidyvpc/MD5 | 86 +- tidyvpc-1.2.0/tidyvpc/NAMESPACE | 11 tidyvpc-1.2.0/tidyvpc/R/data.R | 48 + tidyvpc-1.2.0/tidyvpc/R/npde.R |only tidyvpc-1.2.0/tidyvpc/R/plot.R | 158 ++++- tidyvpc-1.2.0/tidyvpc/R/vpcstats.R | 613 +++++++++++++------- tidyvpc-1.2.0/tidyvpc/README.md | 51 - tidyvpc-1.2.0/tidyvpc/build/vignette.rds |binary tidyvpc-1.2.0/tidyvpc/data/obs_cat_data.rda |only tidyvpc-1.2.0/tidyvpc/data/obs_data.rda |binary tidyvpc-1.2.0/tidyvpc/data/sim_cat_data.rda |only tidyvpc-1.2.0/tidyvpc/data/sim_data.rda |binary tidyvpc-1.2.0/tidyvpc/inst/binless_cat_validation.R |only tidyvpc-1.2.0/tidyvpc/inst/doc/tidyvpc_cat.R |only tidyvpc-1.2.0/tidyvpc/inst/doc/tidyvpc_cat.Rmd |only tidyvpc-1.2.0/tidyvpc/inst/doc/tidyvpc_cat.html |only tidyvpc-1.2.0/tidyvpc/inst/doc/tidyvpc_cont.R |only tidyvpc-1.2.0/tidyvpc/inst/doc/tidyvpc_cont.Rmd |only tidyvpc-1.2.0/tidyvpc/inst/doc/tidyvpc_cont.html |only tidyvpc-1.2.0/tidyvpc/inst/extdata |only tidyvpc-1.2.0/tidyvpc/man/bininfo.Rd | 28 tidyvpc-1.2.0/tidyvpc/man/binless.Rd | 74 +- tidyvpc-1.2.0/tidyvpc/man/binning.Rd | 38 - tidyvpc-1.2.0/tidyvpc/man/binningfunctions.Rd | 2 tidyvpc-1.2.0/tidyvpc/man/censoring.Rd | 26 tidyvpc-1.2.0/tidyvpc/man/check_order.Rd | 14 tidyvpc-1.2.0/tidyvpc/man/generics.Rd | 2 tidyvpc-1.2.0/tidyvpc/man/nopredcorrect.Rd | 9 tidyvpc-1.2.0/tidyvpc/man/npde.Rd |only tidyvpc-1.2.0/tidyvpc/man/obs_cat_data.Rd |only tidyvpc-1.2.0/tidyvpc/man/obs_data.Rd | 10 tidyvpc-1.2.0/tidyvpc/man/observed.Rd | 29 tidyvpc-1.2.0/tidyvpc/man/plot.tidyvpcobj.Rd |only tidyvpc-1.2.0/tidyvpc/man/predcorrect.Rd | 25 tidyvpc-1.2.0/tidyvpc/man/print.tidyvpcobj.Rd | 6 tidyvpc-1.2.0/tidyvpc/man/sim_cat_data.Rd |only tidyvpc-1.2.0/tidyvpc/man/sim_data.Rd | 8 tidyvpc-1.2.0/tidyvpc/man/simulated.Rd | 19 tidyvpc-1.2.0/tidyvpc/man/stratify.Rd | 19 tidyvpc-1.2.0/tidyvpc/man/vpcstats.Rd | 37 - tidyvpc-1.2.0/tidyvpc/tests/testthat/test-binless.R |only tidyvpc-1.2.0/tidyvpc/tests/testthat/test-binning.R | 48 + tidyvpc-1.2.0/tidyvpc/vignettes/tidyvpc_cat.Rmd |only tidyvpc-1.2.0/tidyvpc/vignettes/tidyvpc_cont.Rmd |only 54 files changed, 916 insertions(+), 475 deletions(-)
Title: Multivariate Fay Herriot Models for Small Area Estimation
Description: Implements multivariate Fay-Herriot models for small area estimation. It uses empirical best linear unbiased prediction (EBLUP) estimator. Multivariate models consider the correlation of several target variables and borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. Models which accommodated by this package are univariate model with several target variables (model 0), multivariate model (model 1), autoregressive multivariate model (model 2), and heteroscedastic autoregressive multivariate model (model 3). Functions provide EBLUP estimators and mean squared error (MSE) estimator for each model. These models were developed by Roberto Benavent and Domingo Morales (2015) <doi:10.1016/j.csda.2015.07.013>.
Author: Novia Permatasari, Azka Ubaidillah
Maintainer: Novia Permatasari <16.9335@stis.ac.id>
Diff between msae versions 0.1.3 dated 2021-04-12 and 0.1.4 dated 2021-10-01
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- R/data1.R | 2 +- R/data2.R | 2 +- R/data3.R | 2 +- R/eblupUFH.R | 2 +- data/datasae1.rda |binary man/datasae1.Rd | 2 +- man/datasae2.Rd | 2 +- man/datasae3.Rd | 2 +- man/eblupUFH.Rd | 2 +- 11 files changed, 22 insertions(+), 22 deletions(-)
Title: Geometric Morphometric Methods and Virtual Anthropology Tools
Description: Tools for geometric morphometric analysis. The package includes tools of virtual anthropology to align two not articulated parts belonging to the same specimen, to build virtual cavities as endocast (Profico et al, 2021 <doi:10.1002/ajpa.24340>).
Author: Antonio Profico, Costantino Buzi, Silvia Castiglione, Marina Melchionna, Paolo Piras, Pasquale Raia, Alessio Veneziano
Maintainer: Antonio Profico <antonio.profico@gmail.com>
Diff between Arothron versions 2.0.2 dated 2021-06-08 and 2.0.3 dated 2021-10-01
DESCRIPTION | 10 ++-- MD5 | 6 +- NAMESPACE | 128 +++++++++++++++++++++++++++---------------------------- R/twodvarshape.R | 2 4 files changed, 73 insertions(+), 73 deletions(-)
Title: A New Age-Period-Cohort Model for Describing and Investigating
Inter-Cohort Differences and Life Course Dynamics
Description: It implemented Age-Period-Interaction Model (APC-I Model) proposed in the paper of Liying Luo and James S. Hodges in 2019. A new age-period-cohort model for describing and investigating inter-cohort differences and life course dynamics.
Author: Jiahui Xu [aut, cre],
Liying Luo [aut]
Maintainer: Jiahui Xu <jpx5053@psu.edu>
Diff between APCI versions 0.1.0 dated 2021-01-09 and 1.0.2 dated 2021-10-01
APCI-0.1.0/APCI/data/blackmen.rda |only APCI-0.1.0/APCI/data/blackwomen.rda |only APCI-0.1.0/APCI/data/whitemen.rda |only APCI-0.1.0/APCI/data/whitewomen.rda |only APCI-0.1.0/APCI/man/blackmen.Rd |only APCI-0.1.0/APCI/man/blackwomen.Rd |only APCI-0.1.0/APCI/man/whitemen.Rd |only APCI-0.1.0/APCI/man/whitewomen.Rd |only APCI-1.0.2/APCI/DESCRIPTION | 17 ++-- APCI-1.0.2/APCI/MD5 | 36 ++++----- APCI-1.0.2/APCI/R/CohortDeviation.R | 70 +++++++++++++++---- APCI-1.0.2/APCI/R/MainEffect.R | 53 +++++++++++--- APCI-1.0.2/APCI/R/ageperiod_group.R |only APCI-1.0.2/APCI/R/apci.R | 98 ++++++++++++++++++++++++-- APCI-1.0.2/APCI/R/globals.R | 6 + APCI-1.0.2/APCI/R/temp6_model.R | 120 ++++++++++++++++++--------------- APCI-1.0.2/APCI/data/cpsmen.rda |only APCI-1.0.2/APCI/data/cpswomen.rda |only APCI-1.0.2/APCI/man/ageperiod_group.Rd |only APCI-1.0.2/APCI/man/apci.Rd | 34 ++++++--- APCI-1.0.2/APCI/man/cohortdeviation.Rd | 31 +++++++- APCI-1.0.2/APCI/man/cpsmen.Rd |only APCI-1.0.2/APCI/man/cpswomen.Rd |only APCI-1.0.2/APCI/man/maineffect.Rd | 6 + APCI-1.0.2/APCI/man/temp_model.Rd | 24 +++++- APCI-1.0.2/APCI/tests/1_tests.R | 62 ++++++++++++++++- 26 files changed, 422 insertions(+), 135 deletions(-)
Title: Download and Tidy Data from the Reserve Bank of Australia
Description: Download up-to-date data from the Reserve Bank of Australia
in a tidy data frame. Package includes functions to download current and
historical statistical tables
(<https://www.rba.gov.au/statistics/tables/>) and forecasts
(<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data
includes a broad range of Australian macroeconomic and financial time
series.
Author: Matt Cowgill [aut, cre] (<https://orcid.org/0000-0003-0422-3300>),
Angus Moore [ctb]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>
Diff between readrba versions 0.1.1 dated 2021-04-06 and 0.1.2 dated 2021-10-01
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Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing
different procedures and tools used in plant science and experimental designs.
The mean aim of the package is to support researchers during the planning of
experiments and data collection (tarpuy()), data analysis and graphics (yupana())
, and technical writing.
Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>
Diff between inti versions 0.4.3 dated 2021-09-08 and 0.4.4 dated 2021-10-01
DESCRIPTION | 10 - MD5 | 50 +++--- NAMESPACE | 1 NEWS.md | 21 ++ R/jc_tombola.R | 80 ++++++---- R/yupana_analysis.R | 44 ++++- R/yupana_export_smr.R | 2 R/yupana_mvr.R | 67 ++++---- build/partial.rdb |binary inst/doc/apps.Rmd | 2 inst/doc/apps.html | 4 inst/doc/rticles.html | 2 inst/doc/yupana.Rmd | 2 inst/doc/yupana.html | 2 inst/tarpuy/ui.R | 35 +++- inst/tarpuy/www/custom.css | 19 ++ inst/yupana/rsconnect/shinyapps.io/flavjack/yupana.dcf | 6 inst/yupana/rsconnect/shinyapps.io/flavjack/yupanapro.dcf | 6 inst/yupana/server.R | 46 +++--- inst/yupana/ui.R | 105 ++++++++++---- inst/yupana/www/custom.css | 18 ++ man/jc_tombola.Rd | 3 man/yupana_analysis.Rd | 10 + man/yupana_mvr.Rd | 13 - vignettes/apps.Rmd | 2 vignettes/yupana.Rmd | 2 26 files changed, 360 insertions(+), 192 deletions(-)
Title: Automated Boosted Regression Tree Modelling and Mapping Suite
Description: Automates delta log-normal boosted regression tree abundance
prediction. Loops through parameters provided (LR (learning rate), TC (tree
complexity), BF (bag fraction)), chooses best, simplifies, & generates line,
dot & bar plots, & outputs these & predictions & a report, makes predicted
abundance maps, and Unrepresentativeness surfaces.
Package core built around 'gbm' (gradient boosting machine) functions in
'dismo' (Hijmans, Phillips, Leathwick & Jane Elith, 2020 & ongoing), itself
built around 'gbm' (Greenwell, Boehmke, Cunningham & Metcalfe, 2020 &
ongoing, originally by Ridgeway). Indebted to Elith/Leathwick/Hastie 2008
'Working Guide' <doi:10.1111/j.1365-2656.2008.01390.x>; workflow follows
Appendix S3. See <http://www.simondedman.com/> for published guides and
papers using this package.
Author: Simon Dedman [aut, cre],
Hans Gerritsen [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>
Diff between gbm.auto versions 1.4.1 dated 2021-02-24 and 1.5.0 dated 2021-10-01
DESCRIPTION | 8 - MD5 | 14 +- NEWS.md | 6 - R/gbm.auto.R | 28 ++--- R/gbm.basemap.R | 2 R/gbm.loop.R | 274 +++++++++++++++++++++++++++++++---------------------- man/gbm.basemap.Rd | 2 man/gbm.loop.Rd | 24 ++++ 8 files changed, 215 insertions(+), 143 deletions(-)