Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory
factor analysis, structural equation models, and latent growth curve models.
Author: Edgar Merkle [aut, cre] (<https://orcid.org/0000-0001-7158-0653>),
Yves Rosseel [aut],
Ben Goodrich [aut],
Mauricio Garnier-Villarreal [ctb]
(<https://orcid.org/0000-0002-2951-6647>, R/blav_compare.R,
R/ctr_bayes_fit.R),
Terrence D. Jorgensen [ctb] (<https://orcid.org/0000-0001-5111-6773>,
R/ctr_bayes_fit.R, R/ctr_ppmc.R),
Huub Hoofs [ctb] (R/ctr_bayes_fit.R),
Rens van de Schoot [ctb] (R/ctr_bayes_fit.R)
Maintainer: Edgar Merkle <merklee@missouri.edu>
Diff between blavaan versions 0.3-16 dated 2021-07-11 and 0.3-17 dated 2021-07-19
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ NEWS.md | 12 +++++++++++- R/blav_cond_utils.R | 2 +- R/blav_fit_measures.R | 2 +- R/blav_utils.R | 16 +++++++++------- R/blavaan.R | 3 +-- R/lav_export_stanmarg.R | 12 ++++++++---- R/lvgqs.R | 8 ++++---- R/postpred.R | 32 ++++++++++++++++---------------- R/stanmarg_data.R | 5 +++-- inst/testdata/sysdata.rda |binary src/stan_files/stanmarg.stan | 39 +++++++++++++++++++++++++++++---------- 13 files changed, 98 insertions(+), 63 deletions(-)
Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided here in a single data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves. Also provided are functions to copy the curves into memory, and to plot the curves and their underlying data, as well as functions to calibrate radiocarbon dates.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Diff between IntCal versions 0.2.0 dated 2021-07-04 and 0.2.1 dated 2021-07-19
IntCal-0.2.0/IntCal/man/draw.calibrationcurve.Rd |only IntCal-0.2.1/IntCal/DESCRIPTION | 12 IntCal-0.2.1/IntCal/MD5 | 44 + IntCal-0.2.1/IntCal/NAMESPACE | 11 IntCal-0.2.1/IntCal/NEWS.md | 9 IntCal-0.2.1/IntCal/R/IntCal.R | 525 +++-------------------- IntCal-0.2.1/IntCal/R/calibrate.R |only IntCal-0.2.1/IntCal/R/data.R |only IntCal-0.2.1/IntCal/README | 18 IntCal-0.2.1/IntCal/build/partial.rdb |binary IntCal-0.2.1/IntCal/build/vignette.rds |only IntCal-0.2.1/IntCal/inst/doc |only IntCal-0.2.1/IntCal/man/age.pMC.Rd | 2 IntCal-0.2.1/IntCal/man/caldist.Rd |only IntCal-0.2.1/IntCal/man/calibrate.Rd |only IntCal-0.2.1/IntCal/man/ccurve.Rd |only IntCal-0.2.1/IntCal/man/copyCalibrationCurve.Rd | 32 - IntCal-0.2.1/IntCal/man/draw.ccurve.Rd |only IntCal-0.2.1/IntCal/man/hpd.Rd |only IntCal-0.2.1/IntCal/man/intcal.data.Rd | 12 IntCal-0.2.1/IntCal/man/list.ccurves.Rd |only IntCal-0.2.1/IntCal/man/mix.curves.Rd | 13 IntCal-0.2.1/IntCal/man/pMC.age.Rd | 2 IntCal-0.2.1/IntCal/vignettes |only 24 files changed, 173 insertions(+), 507 deletions(-)
Title: Access Elevation Data from Various APIs
Description: Several web services are available that provide access to elevation
data. This package provides access to several of those services and
returns elevation data either as a SpatialPointsDataFrame from
point elevation services or as a raster object from raster
elevation services. Currently, the package supports access to the
Amazon Web Services Terrain Tiles <https://registry.opendata.aws/terrain-tiles/>,
the Open Topography Global Datasets API <https://opentopography.org/developers/>,
and the USGS Elevation Point Query Service <https://nationalmap.gov/epqs/>.
Author: Jeffrey Hollister [aut, cre] (<https://orcid.org/0000-0002-9254-9740>),
Tarak Shah [ctb],
Alec L. Robitaille [ctb] (<https://orcid.org/0000-0002-4706-1762>),
Marcus W. Beck [rev] (<https://orcid.org/0000-0002-4996-0059>),
Mike Johnson [ctb] (<https://orcid.org/0000-0002-5288-8350>)
Maintainer: Jeffrey Hollister <hollister.jeff@epa.gov>
Diff between elevatr versions 0.3.4 dated 2021-01-21 and 0.4.0 dated 2021-07-19
DESCRIPTION | 11 MD5 | 42 - NAMESPACE | 27 R/get_elev_point.R | 175 +++- R/get_elev_raster.R | 158 ++- R/internal.R | 198 +++- README.md | 44 - build/vignette.rds |binary inst/doc/introduction_to_elevatr.Rmd | 4 inst/doc/introduction_to_elevatr.html | 1360 ---------------------------------- man/bbox_to_sp.Rd | 7 man/estimate_raster_size.Rd | 4 man/get_aws_points.Rd | 10 man/get_aws_terrain.Rd | 22 man/get_elev_point.Rd | 29 man/get_elev_raster.Rd | 32 man/get_epqs.Rd | 12 man/get_opentopo.Rd | 7 tests/testthat/test-get_elev_point.R | 29 tests/testthat/test-get_elev_raster.R | 13 tests/testthat/test-internal.R | 44 - vignettes/introduction_to_elevatr.Rmd | 4 22 files changed, 632 insertions(+), 1600 deletions(-)
Title: Analysis of NCES Education Survey and Assessment Data
Description: Read in and analyze functions for education survey and assessment data from the National Center for Education Statistics (NCES) <https://nces.ed.gov/>, including National Assessment of Educational Progress (NAEP) data <https://nces.ed.gov/nationsreportcard/> and data from the International Assessment Database: Organisation for Economic Co-operation and Development (OECD) <https://www.oecd.org/>, including Programme for International Student Assessment (PISA), Teaching and Learning International Survey (TALIS), Programme for the International Assessment of Adult Competencies (PIAAC), and International Association for the Evaluation of Educational Achievement (IEA) <https://www.iea.nl/>, including Trends in International Mathematics and Science Study (TIMSS), TIMSS Advanced, Progress in International Reading Literacy Study (PIRLS), International Civic and Citizenship Study (ICCS), International Computer and Information Literacy Study (ICILS), and Civic Education Study (CivEd).
Author: Paul Bailey [aut, cre],
Ahmad Emad [aut],
Huade Huo [aut],
Michael Lee [aut],
Yuqi Liao [aut],
Alex Lishinski [aut],
Trang Nguyen [aut],
Qingshu Xie [aut],
Jiao Yu [aut],
Ting Zhang [aut],
Eric Buehler [aut],
person("Sun-joo", "Lee", role="aut"),
person("Emmanuel", "Sikali", role="pdr", email = "Emmanuel.Sikali@ed.gov")),
Jeppe Bundsgaard [ctb],
Ren C'deBaca [ctb],
Anders Astrup Christensen [ctb]
Maintainer: Paul Bailey <pbailey@air.org>
Diff between EdSurvey versions 2.6.9 dated 2021-03-23 and 2.7.0 dated 2021-07-19
EdSurvey-2.6.9/EdSurvey/inst/doc/introduction.pdf |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-0-main.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-1-lesdf.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-2-esdfl.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-3-TIMSS.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-4-pisa.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-5-piaac.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-6-ECLS_K.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-7-ELS.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-8-HSLS.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-mixed.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/test-mvrlm.R |only EdSurvey-2.6.9/EdSurvey/tests/testthat/testHelper.R |only EdSurvey-2.7.0/EdSurvey/DESCRIPTION | 19 EdSurvey-2.7.0/EdSurvey/MD5 | 621 - EdSurvey-2.7.0/EdSurvey/NAMESPACE | 482 - EdSurvey-2.7.0/EdSurvey/R/DoFCorrection.R | 200 EdSurvey-2.7.0/EdSurvey/R/achievementLevels.R | 1842 ++-- EdSurvey-2.7.0/EdSurvey/R/all.R | 48 EdSurvey-2.7.0/EdSurvey/R/as.data.frame.light.edsurvey.data.frame.R | 42 EdSurvey-2.7.0/EdSurvey/R/cacheMetaReqUpdate.R | 120 EdSurvey-2.7.0/EdSurvey/R/cbind.light.edsurvey.data.frame.R | 116 EdSurvey-2.7.0/EdSurvey/R/checkDataClass.R | 54 EdSurvey-2.7.0/EdSurvey/R/contourPlot.R | 194 EdSurvey-2.7.0/EdSurvey/R/copyDataToTemp.R | 58 EdSurvey-2.7.0/EdSurvey/R/cor.sdf.R | 944 +- EdSurvey-2.7.0/EdSurvey/R/descriptionOfFile.R | 326 EdSurvey-2.7.0/EdSurvey/R/dim.edsurvey.data.frame.R | 168 EdSurvey-2.7.0/EdSurvey/R/downloadECLS_K.R | 275 EdSurvey-2.7.0/EdSurvey/R/downloadELS.R | 254 EdSurvey-2.7.0/EdSurvey/R/downloadHSLS.R | 242 EdSurvey-2.7.0/EdSurvey/R/downloadICCS.R | 106 EdSurvey-2.7.0/EdSurvey/R/downloadICILS.R | 101 EdSurvey-2.7.0/EdSurvey/R/downloadPIAAC.R | 205 EdSurvey-2.7.0/EdSurvey/R/downloadPIRLS.R | 246 EdSurvey-2.7.0/EdSurvey/R/downloadPISA.R | 451 - EdSurvey-2.7.0/EdSurvey/R/downloadPISA_YAFS.R |only EdSurvey-2.7.0/EdSurvey/R/downloadTALIS.R | 222 EdSurvey-2.7.0/EdSurvey/R/downloadTIMSS.R | 280 EdSurvey-2.7.0/EdSurvey/R/downloadTIMSSAdv.R | 228 EdSurvey-2.7.0/EdSurvey/R/download_ePIRLS.R | 228 EdSurvey-2.7.0/EdSurvey/R/edsurvey-package.R | 70 EdSurvey-2.7.0/EdSurvey/R/edsurvey.data.frame.R | 1421 +-- EdSurvey-2.7.0/EdSurvey/R/edsurvey.data.frame.list.R | 414 - EdSurvey-2.7.0/EdSurvey/R/edsurveyTable.R | 1886 ++-- EdSurvey-2.7.0/EdSurvey/R/edsurveyTable2pdf.R | 332 EdSurvey-2.7.0/EdSurvey/R/gap.R | 4050 +++++----- EdSurvey-2.7.0/EdSurvey/R/getAttributes.R | 94 EdSurvey-2.7.0/EdSurvey/R/getData.R | 1716 ++-- EdSurvey-2.7.0/EdSurvey/R/glm.sdf.R | 2110 ++--- EdSurvey-2.7.0/EdSurvey/R/head.edsurvey.data.frame.R | 18 EdSurvey-2.7.0/EdSurvey/R/itterateESDFL.R | 30 EdSurvey-2.7.0/EdSurvey/R/levelsSDF.R | 456 - EdSurvey-2.7.0/EdSurvey/R/lm.sdf.R | 2664 +++--- EdSurvey-2.7.0/EdSurvey/R/merge.light.edsurvey.data.frame.R | 82 EdSurvey-2.7.0/EdSurvey/R/mixed.sdf.R | 1230 +-- EdSurvey-2.7.0/EdSurvey/R/mml.paramtabs.R |only EdSurvey-2.7.0/EdSurvey/R/mml.scoreNAEP.R |only EdSurvey-2.7.0/EdSurvey/R/mml.scoreTIMSS.R |only EdSurvey-2.7.0/EdSurvey/R/mml.sdf.R |only EdSurvey-2.7.0/EdSurvey/R/mml.sdf.helpers.R |only EdSurvey-2.7.0/EdSurvey/R/mvrlm.sdf.R | 2081 ++--- EdSurvey-2.7.0/EdSurvey/R/percentile.R | 1587 ++- EdSurvey-2.7.0/EdSurvey/R/predictGLM.R | 78 EdSurvey-2.7.0/EdSurvey/R/print.edsurvey.data.frame.R | 220 EdSurvey-2.7.0/EdSurvey/R/rbind.light.edsurvey.data.frame.R | 140 EdSurvey-2.7.0/EdSurvey/R/readBB_2001.R | 792 - EdSurvey-2.7.0/EdSurvey/R/readBB_2003.R | 1104 +- EdSurvey-2.7.0/EdSurvey/R/readBB_2012.R | 339 EdSurvey-2.7.0/EdSurvey/R/readBPS_1994.R | 808 - EdSurvey-2.7.0/EdSurvey/R/readBPS_2001.R | 336 EdSurvey-2.7.0/EdSurvey/R/readBPS_2009.R | 300 EdSurvey-2.7.0/EdSurvey/R/readBPS_2014.R | 383 EdSurvey-2.7.0/EdSurvey/R/readBTLS.R | 390 EdSurvey-2.7.0/EdSurvey/R/readECLS_B.R | 855 +- EdSurvey-2.7.0/EdSurvey/R/readECLS_K1998.R | 799 - EdSurvey-2.7.0/EdSurvey/R/readECLS_K2011.R | 1261 +-- EdSurvey-2.7.0/EdSurvey/R/readELS.R | 949 +- EdSurvey-2.7.0/EdSurvey/R/readHSB_SO.R | 476 - EdSurvey-2.7.0/EdSurvey/R/readHSB_SR.R | 672 - EdSurvey-2.7.0/EdSurvey/R/readHSLS.R | 747 - EdSurvey-2.7.0/EdSurvey/R/readICCS.R | 3668 ++++----- EdSurvey-2.7.0/EdSurvey/R/readICILS.R | 1465 +-- EdSurvey-2.7.0/EdSurvey/R/readNAEP.r | 1277 +-- EdSurvey-2.7.0/EdSurvey/R/readNLS72.R | 622 - EdSurvey-2.7.0/EdSurvey/R/readPIAAC.R | 947 +- EdSurvey-2.7.0/EdSurvey/R/readPIRLS.R | 2337 ++--- EdSurvey-2.7.0/EdSurvey/R/readPISA.R | 3525 ++++---- EdSurvey-2.7.0/EdSurvey/R/readPISA_YAFS.R |only EdSurvey-2.7.0/EdSurvey/R/readTALIS.R | 1111 +- EdSurvey-2.7.0/EdSurvey/R/readTIMSS.R | 3572 ++++---- EdSurvey-2.7.0/EdSurvey/R/readTIMSSAdv.R | 1361 +-- EdSurvey-2.7.0/EdSurvey/R/readUTILS.R | 2262 ++--- EdSurvey-2.7.0/EdSurvey/R/read_ePIRLS.R | 1337 +-- EdSurvey-2.7.0/EdSurvey/R/rebindAttributes.R | 92 EdSurvey-2.7.0/EdSurvey/R/recode.sdf.R | 324 EdSurvey-2.7.0/EdSurvey/R/rename.sdf.R | 472 - EdSurvey-2.7.0/EdSurvey/R/rq.sdf.R | 1418 +-- EdSurvey-2.7.0/EdSurvey/R/sameSurvey.R | 60 EdSurvey-2.7.0/EdSurvey/R/searchSDF.R | 292 EdSurvey-2.7.0/EdSurvey/R/setAttributes.R | 68 EdSurvey-2.7.0/EdSurvey/R/showCodebook.R | 246 EdSurvey-2.7.0/EdSurvey/R/showCutPoints.R | 62 EdSurvey-2.7.0/EdSurvey/R/showPlausibleValues.R | 368 EdSurvey-2.7.0/EdSurvey/R/showWeights.R | 220 EdSurvey-2.7.0/EdSurvey/R/subset.edsurvey.data.frame.list.R | 202 EdSurvey-2.7.0/EdSurvey/R/subset.light.edsurvey.data.frame.R | 180 EdSurvey-2.7.0/EdSurvey/R/summary2.R | 700 - EdSurvey-2.7.0/EdSurvey/R/utilities.R | 415 - EdSurvey-2.7.0/EdSurvey/R/varEstToCov.R | 220 EdSurvey-2.7.0/EdSurvey/R/waldTest.R | 416 - EdSurvey-2.7.0/EdSurvey/R/zzz.R | 18 EdSurvey-2.7.0/EdSurvey/build/vignette.rds |binary EdSurvey-2.7.0/EdSurvey/inst/NEWS.Rd | 632 - EdSurvey-2.7.0/EdSurvey/inst/doc/introduction.R | 18 EdSurvey-2.7.0/EdSurvey/inst/doc/introduction.Rmd | 205 EdSurvey-2.7.0/EdSurvey/inst/doc/introduction.html |only EdSurvey-2.7.0/EdSurvey/inst/extdata/PISAal.rds |binary EdSurvey-2.7.0/EdSurvey/inst/suggestWeights |only EdSurvey-2.7.0/EdSurvey/man/DoFCorrection.Rd | 190 EdSurvey-2.7.0/EdSurvey/man/EdSurvey-package.Rd | 76 EdSurvey-2.7.0/EdSurvey/man/SD.Rd | 246 EdSurvey-2.7.0/EdSurvey/man/achievementLevels.Rd | 400 EdSurvey-2.7.0/EdSurvey/man/as.data.frame.Rd | 46 EdSurvey-2.7.0/EdSurvey/man/bind-methods.Rd | 80 EdSurvey-2.7.0/EdSurvey/man/contourPlot.Rd | 146 EdSurvey-2.7.0/EdSurvey/man/cor.sdf.Rd | 368 EdSurvey-2.7.0/EdSurvey/man/dim.edsurvey.data.frame.Rd | 64 EdSurvey-2.7.0/EdSurvey/man/downloadCivEDICCS.Rd | 52 EdSurvey-2.7.0/EdSurvey/man/downloadECLS_K.Rd | 102 EdSurvey-2.7.0/EdSurvey/man/downloadELS.Rd | 92 EdSurvey-2.7.0/EdSurvey/man/downloadHSLS.Rd | 86 EdSurvey-2.7.0/EdSurvey/man/downloadICILS.Rd | 52 EdSurvey-2.7.0/EdSurvey/man/downloadPIAAC.Rd | 72 EdSurvey-2.7.0/EdSurvey/man/downloadPIRLS.Rd | 102 EdSurvey-2.7.0/EdSurvey/man/downloadPISA.Rd | 139 EdSurvey-2.7.0/EdSurvey/man/downloadPISA_YAFS.Rd |only EdSurvey-2.7.0/EdSurvey/man/downloadTALIS.Rd | 92 EdSurvey-2.7.0/EdSurvey/man/downloadTIMSS.Rd | 104 EdSurvey-2.7.0/EdSurvey/man/downloadTIMSSAdv.Rd | 102 EdSurvey-2.7.0/EdSurvey/man/download_ePIRLS.Rd | 92 EdSurvey-2.7.0/EdSurvey/man/edsurvey-class.Rd | 526 - EdSurvey-2.7.0/EdSurvey/man/edsurvey.data.frame.list.Rd | 302 EdSurvey-2.7.0/EdSurvey/man/edsurveyTable.Rd | 378 EdSurvey-2.7.0/EdSurvey/man/edsurveyTable2pdf.Rd | 190 EdSurvey-2.7.0/EdSurvey/man/examples/DoFCorrection.R | 56 EdSurvey-2.7.0/EdSurvey/man/examples/SD.R | 52 EdSurvey-2.7.0/EdSurvey/man/examples/achievementLevels.R | 94 EdSurvey-2.7.0/EdSurvey/man/examples/contourPlot.R | 26 EdSurvey-2.7.0/EdSurvey/man/examples/cor.sdf.R | 132 EdSurvey-2.7.0/EdSurvey/man/examples/downloadECLS_K.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/downloadELS.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/downloadHSLS.R | 16 EdSurvey-2.7.0/EdSurvey/man/examples/downloadICCS.R | 8 EdSurvey-2.7.0/EdSurvey/man/examples/downloadICILS.R | 8 EdSurvey-2.7.0/EdSurvey/man/examples/downloadPIAAC.R | 10 EdSurvey-2.7.0/EdSurvey/man/examples/downloadPIRLS.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/downloadPISA.R | 16 EdSurvey-2.7.0/EdSurvey/man/examples/downloadPISA_YAFS.R |only EdSurvey-2.7.0/EdSurvey/man/examples/downloadTALIS.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/downloadTIMSS.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/downloadTIMSSAdv.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/download_ePIRLS.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/edsurvey-class.R | 36 EdSurvey-2.7.0/EdSurvey/man/examples/edsurvey.data.frame.list.R | 112 EdSurvey-2.7.0/EdSurvey/man/examples/edsurveyTable.R | 60 EdSurvey-2.7.0/EdSurvey/man/examples/edsurveyTable2pdf.R | 54 EdSurvey-2.7.0/EdSurvey/man/examples/gap.R | 128 EdSurvey-2.7.0/EdSurvey/man/examples/getData.R | 118 EdSurvey-2.7.0/EdSurvey/man/examples/getPlausibleValue.R | 12 EdSurvey-2.7.0/EdSurvey/man/examples/getWeightJkReplicates.R | 12 EdSurvey-2.7.0/EdSurvey/man/examples/glm.sdf.R | 52 EdSurvey-2.7.0/EdSurvey/man/examples/hasPlausibleValue.R | 20 EdSurvey-2.7.0/EdSurvey/man/examples/isWeight.R | 20 EdSurvey-2.7.0/EdSurvey/man/examples/levelsSDF.R | 38 EdSurvey-2.7.0/EdSurvey/man/examples/lm.sdf.R | 72 EdSurvey-2.7.0/EdSurvey/man/examples/merge.light.edsurvey.data.frame.R | 36 EdSurvey-2.7.0/EdSurvey/man/examples/mixed.sdf.R | 28 EdSurvey-2.7.0/EdSurvey/man/examples/mml.sdf.R |only EdSurvey-2.7.0/EdSurvey/man/examples/mvrlm.sdf.R | 104 EdSurvey-2.7.0/EdSurvey/man/examples/nrow.edsurvey.data.frame.R | 38 EdSurvey-2.7.0/EdSurvey/man/examples/oddsRatio.R | 14 EdSurvey-2.7.0/EdSurvey/man/examples/percentile.R | 52 EdSurvey-2.7.0/EdSurvey/man/examples/readBB_2001.R | 32 EdSurvey-2.7.0/EdSurvey/man/examples/readBB_2003.R | 32 EdSurvey-2.7.0/EdSurvey/man/examples/readBB_2012.R | 24 EdSurvey-2.7.0/EdSurvey/man/examples/readBPS_1994.R | 30 EdSurvey-2.7.0/EdSurvey/man/examples/readBPS_2001.R | 24 EdSurvey-2.7.0/EdSurvey/man/examples/readBPS_2009.R | 24 EdSurvey-2.7.0/EdSurvey/man/examples/readBPS_2014.R | 24 EdSurvey-2.7.0/EdSurvey/man/examples/readBTLS.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/readECLS_K1998.R | 30 EdSurvey-2.7.0/EdSurvey/man/examples/readECLS_K2011.R | 30 EdSurvey-2.7.0/EdSurvey/man/examples/readELS.R | 44 EdSurvey-2.7.0/EdSurvey/man/examples/readHSB_SO.R | 30 EdSurvey-2.7.0/EdSurvey/man/examples/readHSB_SR.R | 30 EdSurvey-2.7.0/EdSurvey/man/examples/readHSLS.R | 46 EdSurvey-2.7.0/EdSurvey/man/examples/readICCS.R | 14 EdSurvey-2.7.0/EdSurvey/man/examples/readICILS.R | 12 EdSurvey-2.7.0/EdSurvey/man/examples/readNAEP.R | 26 EdSurvey-2.7.0/EdSurvey/man/examples/readPIAAC.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/readPIRLS.R | 12 EdSurvey-2.7.0/EdSurvey/man/examples/readPISA.R | 24 EdSurvey-2.7.0/EdSurvey/man/examples/readPISA_YAFS.R |only EdSurvey-2.7.0/EdSurvey/man/examples/readTALIS.R | 50 EdSurvey-2.7.0/EdSurvey/man/examples/readTIMSS.R | 24 EdSurvey-2.7.0/EdSurvey/man/examples/readTIMSSAdv.R | 14 EdSurvey-2.7.0/EdSurvey/man/examples/read_ePIRLS.R | 12 EdSurvey-2.7.0/EdSurvey/man/examples/rebindAttributes.R | 70 EdSurvey-2.7.0/EdSurvey/man/examples/recode.sdf.R | 28 EdSurvey-2.7.0/EdSurvey/man/examples/rename.sdf.R | 16 EdSurvey-2.7.0/EdSurvey/man/examples/rq.sdf.R | 16 EdSurvey-2.7.0/EdSurvey/man/examples/searchSDF.R | 48 EdSurvey-2.7.0/EdSurvey/man/examples/showCodebook.R | 38 EdSurvey-2.7.0/EdSurvey/man/examples/showCutPoints.R | 14 EdSurvey-2.7.0/EdSurvey/man/examples/showPlausibleValues.R | 14 EdSurvey-2.7.0/EdSurvey/man/examples/showWeights.R | 14 EdSurvey-2.7.0/EdSurvey/man/examples/subset.edsurvey.data.frame.R | 146 EdSurvey-2.7.0/EdSurvey/man/examples/suggestWeights.R |only EdSurvey-2.7.0/EdSurvey/man/examples/summary2.R | 28 EdSurvey-2.7.0/EdSurvey/man/examples/updatePlausibleValue.R | 22 EdSurvey-2.7.0/EdSurvey/man/examples/varEstToCov.R | 44 EdSurvey-2.7.0/EdSurvey/man/examples/waldTest.R | 68 EdSurvey-2.7.0/EdSurvey/man/gap.Rd | 842 +- EdSurvey-2.7.0/EdSurvey/man/getData.Rd | 358 EdSurvey-2.7.0/EdSurvey/man/getPlausibleValue.Rd | 78 EdSurvey-2.7.0/EdSurvey/man/getWeightJkReplicates.Rd | 64 EdSurvey-2.7.0/EdSurvey/man/glm.sdf.Rd | 468 - 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EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-3-TIMSS.R | 424 - EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-4-pisa.R | 276 EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-5-piaac.R | 90 EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-6-ECLS_K.R | 236 EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-7-ELS.R | 50 EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-8-HSLS.R | 48 EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-9-YAFS.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/REF-mixed.R | 80 EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test1.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test2.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test3.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test4.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test5.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test6.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test7.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test8.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/aLevels_test9.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/gap4_varest.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/gap_esdfl_pct.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/gap_main_percentile.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/lm1.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/lm1re.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/lm1t.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/lm2.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/lm2t.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/mmlTIMMS.rds |only EdSurvey-2.7.0/EdSurvey/tests/testthat/pct1.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/pct1simp.rds |only EdSurvey-2.7.0/EdSurvey/tests/testthat/pct1sym.rds |only EdSurvey-2.7.0/EdSurvey/tests/testthat/pct2.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/pct3.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/pct_varest.rds |binary EdSurvey-2.7.0/EdSurvey/tests/testthat/test-10-main.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-15-lesdf.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-20-esdfl.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-30-TIMSS.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-35-piaac.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-40-ELS.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-45-HSLS.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-50-pisa.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-51-YAFS.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-60-ECLS_K.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-70-mixed.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-75-iccs.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/test-80-mvrlm.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat/tstHelper.R |only EdSurvey-2.7.0/EdSurvey/tests/testthat_tests.R | 8 EdSurvey-2.7.0/EdSurvey/vignettes/introduction.Rmd | 205 336 files changed, 45254 insertions(+), 43645 deletions(-)
Title: R Library for Spatial Data Analysis
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis,
Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code
of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis.
The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
Author: Xun Li [aut, cre],
Luc Anselin [aut]
Maintainer: Xun Li <lixun910@gmail.com>
Diff between rgeoda versions 0.0.8-1 dated 2021-03-04 and 0.0.8-2 dated 2021-07-19
rgeoda-0.0.8-1/rgeoda/src/libgeoda/pg/geoms.c |only rgeoda-0.0.8-1/rgeoda/src/libgeoda/pg/utils.c |only rgeoda-0.0.8-1/rgeoda/src/libgeoda/shapelib/dbfopen.c |only rgeoda-0.0.8-1/rgeoda/src/libgeoda/shapelib/safileio.c |only rgeoda-0.0.8-1/rgeoda/src/libgeoda/shapelib/shpopen.c |only rgeoda-0.0.8-2/rgeoda/DESCRIPTION | 8 rgeoda-0.0.8-2/rgeoda/MD5 | 121 +- rgeoda-0.0.8-2/rgeoda/NAMESPACE | 9 rgeoda-0.0.8-2/rgeoda/R/RcppExports.R | 28 rgeoda-0.0.8-2/rgeoda/R/rgeoda.R | 8 rgeoda-0.0.8-2/rgeoda/R/weights.R | 203 ++++ rgeoda-0.0.8-2/rgeoda/man/Weight-class.Rd | 6 rgeoda-0.0.8-2/rgeoda/man/as.matrix.Rd |only rgeoda-0.0.8-2/rgeoda/man/create_weights.Rd |only rgeoda-0.0.8-2/rgeoda/man/get_neighbors.Rd | 2 rgeoda-0.0.8-2/rgeoda/man/get_neighbors_weights.Rd |only rgeoda-0.0.8-2/rgeoda/man/read_gal.Rd |only rgeoda-0.0.8-2/rgeoda/man/read_gwt.Rd |only rgeoda-0.0.8-2/rgeoda/man/read_swm.Rd |only rgeoda-0.0.8-2/rgeoda/man/set_neighbors.Rd |only rgeoda-0.0.8-2/rgeoda/man/set_neighbors_with_weights.Rd |only rgeoda-0.0.8-2/rgeoda/man/update_weights.Rd |only rgeoda-0.0.8-2/rgeoda/src/RcppExports.cpp | 91 + rgeoda-0.0.8-2/rgeoda/src/libgeoda/DataUtils.h | 4 rgeoda-0.0.8-2/rgeoda/src/libgeoda/GenUtils.cpp | 335 ++++++ rgeoda-0.0.8-2/rgeoda/src/libgeoda/GenUtils.h | 19 rgeoda-0.0.8-2/rgeoda/src/libgeoda/SpatialIndAlgs.cpp | 126 ++ rgeoda-0.0.8-2/rgeoda/src/libgeoda/SpatialIndAlgs.h | 15 rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/DorlingCartogram.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/DorlingCartogram.h |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/azp.cpp | 34 rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/pam.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/pam.h |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/pam_wrapper.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/pam_wrapper.h |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/redcap.cpp | 64 - rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/redcap.h | 20 rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/redcap_wrapper.cpp | 29 rgeoda-0.0.8-2/rgeoda/src/libgeoda/clustering/schc_wrapper.cpp | 27 rgeoda-0.0.8-2/rgeoda/src/libgeoda/gda_clustering.cpp | 3 rgeoda-0.0.8-2/rgeoda/src/libgeoda/gda_interface.h | 2 rgeoda-0.0.8-2/rgeoda/src/libgeoda/gda_sa.cpp | 99 ++ rgeoda-0.0.8-2/rgeoda/src/libgeoda/gda_sa.h | 6 rgeoda-0.0.8-2/rgeoda/src/libgeoda/gda_weights.cpp | 491 +++++++++- rgeoda-0.0.8-2/rgeoda/src/libgeoda/gda_weights.h | 18 rgeoda-0.0.8-2/rgeoda/src/libgeoda/libgeoda.cpp | 19 rgeoda-0.0.8-2/rgeoda/src/libgeoda/libgeoda.h | 1 rgeoda-0.0.8-2/rgeoda/src/libgeoda/pg/geoms.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/pg/utils.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/rng.h | 1 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/LISA.cpp | 25 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/LISA.h | 4 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/MultiGeary.cpp | 2 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/MultiJoinCount.cpp | 13 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/UniG.cpp | 7 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/UniGeary.cpp | 38 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/UniGeary.h | 3 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/UniGstar.cpp | 6 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/UniJoinCount.cpp | 34 rgeoda-0.0.8-2/rgeoda/src/libgeoda/sa/UniLocalMoran.cpp | 4 rgeoda-0.0.8-2/rgeoda/src/libgeoda/shape/centroid.h | 2 rgeoda-0.0.8-2/rgeoda/src/libgeoda/shapelib/dbfopen.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/shapelib/safileio.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/shapelib/shapefil.h | 2 rgeoda-0.0.8-2/rgeoda/src/libgeoda/shapelib/shpopen.cpp |only rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/GalWeight.cpp | 68 + rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/GalWeight.h | 26 rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/GeodaWeight.cpp | 60 + rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/GeodaWeight.h | 35 rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/GwtWeight.cpp | 16 rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/GwtWeight.h | 6 rgeoda-0.0.8-2/rgeoda/src/libgeoda/weights/PointsToContigWeights.cpp | 4 rgeoda-0.0.8-2/rgeoda/src/rcpp_rgeoda.cpp | 1 rgeoda-0.0.8-2/rgeoda/src/rcpp_weights.cpp | 138 ++ 74 files changed, 2053 insertions(+), 230 deletions(-)
Title: Panel Generalized Linear Models
Description: Estimation of panel models for glm-like models:
this includes binomial models (logit and probit), count models (poisson and negbin)
and ordered models (logit and probit), as described in:
Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7,
Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and
Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Diff between pglm versions 0.2-2 dated 2020-01-17 and 0.2-3 dated 2021-07-19
pglm-0.2-2/pglm/NEWS |only pglm-0.2-3/pglm/DESCRIPTION | 18 ++-- pglm-0.2-3/pglm/MD5 | 18 ++-- pglm-0.2-3/pglm/NEWS.md |only pglm-0.2-3/pglm/R/lnl.binomial.R | 131 +++++++++++++++++------------------ pglm-0.2-3/pglm/data/Fairness.rda |binary pglm-0.2-3/pglm/data/HealthIns.rda |binary pglm-0.2-3/pglm/data/PatentsRD.rda |binary pglm-0.2-3/pglm/data/PatentsRDUS.rda |binary pglm-0.2-3/pglm/data/UnionWage.rda |binary pglm-0.2-3/pglm/man/pglm.Rd | 2 11 files changed, 86 insertions(+), 83 deletions(-)
Title: Adjusted Limited Dependent Variable Mixture Models
Description: The goal of the package 'aldvmm' is to fit adjusted limited
dependent variable mixture models of health state utilities. Adjusted
limited dependent variable mixture models are finite mixtures of normal
distributions with an accumulation of density mass at the limits, and a gap
between 100% quality of life and the next smaller utility value. The
package 'aldvmm' uses the likelihood and expected value functions proposed
by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using
normal component distributions and a multinomial logit model of
probabilities of component membership.
Author: Mark Pletscher [aut, cre, cph]
Maintainer: Mark Pletscher <pletscher.mark@gmail.com>
Diff between aldvmm versions 0.8.3 dated 2021-06-16 and 0.8.4 dated 2021-07-19
DESCRIPTION | 8 +- MD5 | 68 +++++++++--------- NEWS.md | 6 + R/aldvmm.cv.R | 2 R/aldvmm.gof.R | 2 R/aldvmm.ll.R | 8 -- R/aldvmm.sefit.R | 25 ++++-- R/predict.aldvmm.R | 6 - R/summary.aldvmm.R | 2 build/partial.rdb |binary inst/doc/aldvmm_vignette.R | 113 ++++++++++++++++++++++++++++-- inst/doc/aldvmm_vignette.Rmd | 130 +++++++++++++++++++++++++++++++---- inst/doc/aldvmm_vignette.pdf |binary man/aldvmm-package.Rd | 62 ++++++++-------- man/aldvmm.gof.Rd | 2 man/summary.Rd | 40 +++++----- man/utility.Rd | 88 +++++++++++------------ tests/testthat/test.aldvmm.sefit.R | 4 - tests/testthat/test.predict.aldvmm.R | 29 +++++++ vignettes/aldvmm_bib.bib | 8 +- vignettes/aldvmm_vignette.Rmd | 130 +++++++++++++++++++++++++++++++---- vignettes/plot_comp_mhl1.RData |binary vignettes/plot_comp_mhl2.RData |binary vignettes/plot_comp_mhl3.RData |binary vignettes/tab_comp_coef.RData |binary vignettes/tab_comp_time.RData |binary vignettes/tab_sum_const.RData |binary vignettes/tab_sum_cstata.RData |binary vignettes/tab_sum_cstr.RData |binary vignettes/tab_sum_mod1.RData |binary vignettes/tab_sum_mod1bfgs.RData |binary vignettes/tab_sum_mod1nlminb.RData |binary vignettes/tab_sum_mod2.RData |binary vignettes/tab_sum_mod2stata.RData |binary vignettes/tab_sum_tobit.RData |binary 35 files changed, 540 insertions(+), 193 deletions(-)
Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel
sparse direct Solver) are wrapped in a class whose methods can be used
for sequentially solving a sparse linear system (symmetric or not)
with one or many right hand sides (dense or sparse).
There is a possibility to do separately symbolic analysis,
LU (or LDL^t) factorization and system solving.
Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'.
'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194>
and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre],
Emmanuel Agullo [ctb],
Patrick Amestoy [ctb, cph],
Maurice Bremond [ctb],
Alfredo Buttari [ctb],
Philippe Combes [ctb],
Marie Durand [ctb],
Aurelia Fevre [ctb],
Abdou Guermouche [ctb],
Guillaume Joslin [ctb],
Jacko Koster [ctb],
Jean-Yves L'Excellent [ctb],
Stephane Pralet [ctb],
Chiara Puglisi [ctb],
Francois-Henry Rouet [ctb],
Wissam Sid-Lakhdar [ctb],
Tzvetomila Slavova [ctb],
Bora Ucar [ctb],
Clement Weisbecker [ctb],
Juergen Schulze [ctb],
George Karypis [ctb],
Douglas C. Schmidt [ctb],
Isamu Hasegawa [ctb],
Alexander Chemeris [ctb],
Makoto Matsumoto [ctb],
Takuji Nishimura [ctb],
Francois Pellegrini [ctb],
David Goudin [ctb],
Pascal Henon [ctb],
Pierre Ramet [ctb],
Sebastien Fourestier [ctb],
Jun-Ho Her [ctb],
Cedric Chevalier [ctb],
Timothy A. Davis [ctb, cph],
Iain S. Duff [ctb, cph],
John K. Reid [ctb, cph],
Richard Stallman [ctb],
Samuel Thibault [ctb, cph],
CERFACS [cph],
CNRS [cph],
ENS Lyon [cph],
INP Toulouse [cph],
INRIA [cph],
University of Bordeaux [cph],
Regents of the University of Minnesota [cph],
Free Software Foundation, Inc [cph],
Alexander Chemeris [cph],
Makoto Matsumoto [cph],
Takuji Nishimura [cph],
Universite de Bordeaux [cph],
CNRS [cph],
INRAE [cph]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>
Diff between rmumps versions 5.2.1-12 dated 2020-02-20 and 5.2.1-13 dated 2021-07-19
rmumps-5.2.1-12/rmumps/src/lib/mpi.patch |only rmumps-5.2.1-12/rmumps/src/lib/warnings.patch |only rmumps-5.2.1-13/rmumps/DESCRIPTION | 8 +++---- rmumps-5.2.1-13/rmumps/MD5 | 10 +++------ rmumps-5.2.1-13/rmumps/NEWS | 6 +++++ rmumps-5.2.1-13/rmumps/src/lib/scotch_6.0.9/src/libscotch/graph_io_chac.c | 9 +++++--- rmumps-5.2.1-13/rmumps/src/lib/scotch_6.0.9/src/libscotch/parser.c | 11 ++++++++++ 7 files changed, 31 insertions(+), 13 deletions(-)
Title: API Client and Dataset Management for the Demographic and Health
Survey (DHS) Data
Description: Provides a client for (1) querying the DHS API for survey indicators
and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys
and datasets for analysis, (3) downloading survey datasets from the DHS website,
(4) loading datasets and associate metadata into R, and (5) extracting variables
and combining datasets for pooled analysis.
Author: OJ Watson [aut, cre] (<https://orcid.org/0000-0003-2374-0741>),
Jeff Eaton [aut] (<https://orcid.org/0000-0001-7728-728X>),
Lucy D'Agostino McGowan [rev] (<https://orcid.org/0000-0001-7297-9359>),
Duncan Gillespie [rev]
Maintainer: OJ Watson <oj.watson@hotmail.co.uk>
Diff between rdhs versions 0.7.2 dated 2021-04-28 and 0.7.3 dated 2021-07-19
DESCRIPTION | 6 MD5 | 26 - NEWS.md | 4 R/client.R | 14 R/ui.R | 2 build/vignette.rds |binary inst/doc/anemia.html | 438 ++++++------------------------ inst/doc/boundaries.html | 330 +++------------------- inst/doc/client.html | 596 ++++++++++++---------------------------- inst/doc/country_codes.html | 272 +----------------- inst/doc/geojson.html | 318 ++------------------- inst/doc/introduction.html | 640 +++++++++++++------------------------------- inst/doc/testing.html | 278 +------------------ inst/doc/toolkit.html | 276 +----------------- 14 files changed, 650 insertions(+), 2550 deletions(-)
Title: Coarse Approximation Linear Function
Description: Contains greedy algorithms for coarse approximation linear functions.
Author: Stephanie Lane [aut, cre], John Ford [aut], Clark Jeffries [aut], Diana Perkins [aut]
Maintainer: John Ford <JoRuFo@gmail.com>
Diff between CALF versions 1.0.15 dated 2020-05-28 and 1.0.16 dated 2021-07-19
DESCRIPTION | 12 - MD5 | 29 ++-- NAMESPACE | 1 R/calf_wrappers.R | 250 +++++++++++++++++++++++++++++++++++++++- man/CALF-package.Rd | 78 ++++++------ man/CaseControl.Rd | 32 ++--- man/calf.Rd | 64 +++++----- man/calf_exact_binary_subset.Rd | 88 +++++++------- man/calf_fractional.Rd | 82 ++++++------- man/calf_randomize.Rd | 82 ++++++------- man/calf_subset.Rd | 88 +++++++------- man/cv.calf.Rd | 84 ++++++------- man/perm_target_cv.calf.Rd |only man/write.calf.Rd | 32 ++--- man/write.calf_randomize.Rd | 32 ++--- man/write.calf_subset.Rd | 32 ++--- 16 files changed, 615 insertions(+), 371 deletions(-)
Title: Short Sprints
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data.
Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU),
and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters
can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized
in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>,
Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>,
Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>,
Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, and
Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
Author: Mladen Jovanović [aut, cre],
Jason D. Vescovi [dtc]
Maintainer: Mladen Jovanović <coach.mladen.jovanovic@gmail.com>
Diff between shorts versions 1.1.5 dated 2021-07-02 and 1.1.6 dated 2021-07-19
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 6 ++++++ R/model_using_splits.R | 11 ++++++++++- R/predict_functions.R | 12 +++++++++++- inst/CITATION | 4 ++-- man/model_split_times.Rd | 12 +++++++++++- man/predict_kinematics.Rd | 12 +++++++++++- 8 files changed, 61 insertions(+), 16 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-04 1.9
2020-10-13 1.3
Title: Data Management of Large Hierarchical Data
Description: Import 'SPSS' data, handle and change 'SPSS' meta data, store and access large hierarchical data in 'SQLite' data bases.
Author: Benjamin Becker [aut, cre],
Karoline Sachse [ctb],
Johanna Busse [ctb]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>
Diff between eatGADS versions 0.16.0 dated 2021-02-23 and 0.17.0 dated 2021-07-19
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Title: Penalized Transformation Models
Description: Partially penalized versions of specific transformation models
implemented in package 'mlt'. Available models include a fully parametric version
of the Cox model, other parametric survival models (Weibull, etc.), models for
binary and ordered categorical variables, normal and transformed-normal (Box-Cox type)
linear models, and continuous outcome logistic regression. Hyperparameter tuning
is facilitated through model-based optimization functionalities from package 'mlrMBO'.
The accompanying vignette describes the methodology used in 'tramnet' in detail.
Transformation models and model-based optimization are described in
Hothorn et al. (2019) <doi:10.1111/sjos.12291> and
Bischl et al. (2016) <arxiv:1703.03373>, respectively.
Author: Lucas Kook [cre, aut],
Balint Tamasi [ctb],
Sandra Siegfried [ctb],
Samuel Pawel [ctb],
Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Lucas Kook <lucasheinrich.kook@uzh.ch>
Diff between tramnet versions 0.0-5 dated 2021-03-16 and 0.0-6 dated 2021-07-19
DESCRIPTION | 9 +++++---- MD5 | 4 ++-- inst/doc/tramnet.pdf |binary 3 files changed, 7 insertions(+), 6 deletions(-)
Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between parallelly versions 1.26.1 dated 2021-06-30 and 1.27.0 dated 2021-07-19
DESCRIPTION | 6 MD5 | 31 ++-- NAMESPACE | 1 NEWS | 33 +++++ R/availableCores.R | 20 ++- R/availableWorkers.R | 4 R/makeClusterPSOCK.R | 36 +++++ R/options.R | 2 R/parallelly_disable_parallel_setup_if_needed.R | 149 +++++++++++++++++++----- R/ports.R | 3 R/stealth_sample.R | 10 + inst/WORDLIST | 7 - man/availableCores.Rd | 9 + man/availableWorkers.Rd | 4 man/parallelly.options.Rd | 2 tests/freePort.R | 14 ++ tests/r_bug18119.R |only 17 files changed, 261 insertions(+), 70 deletions(-)
Title: Hypothesis Matrix Translation
Description: Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038> and Rabe, Vasishth, Hohenstein, Kliegl, and Schad (2020) <doi:10.21105/joss.02134>.
Author: Maximilian M. Rabe [aut, cre] (<https://orcid.org/0000-0002-2556-5644>),
Shravan Vasishth [aut] (<https://orcid.org/0000-0003-2027-1994>),
Sven Hohenstein [aut] (<https://orcid.org/0000-0002-9708-1593>),
Reinhold Kliegl [aut] (<https://orcid.org/0000-0002-0180-8488>),
Daniel J. Schad [aut] (<https://orcid.org/0000-0003-2586-6823>)
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>
Diff between hypr versions 0.2.1 dated 2021-06-07 and 0.2.2 dated 2021-07-19
DESCRIPTION | 6 MD5 | 16 +- NAMESPACE | 2 R/equations.R | 59 +++++++-- R/hypr.R | 2 build/vignette.rds |binary inst/doc/hypr-contrasts.html | 229 ++--------------------------------- inst/doc/hypr-intro.html | 259 ++++----------------------------------- inst/doc/hypr-regression.html | 273 ++++++------------------------------------ 9 files changed, 153 insertions(+), 693 deletions(-)
Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for
visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as
frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as
bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include
but are not limited to: points with multiple uncertainty intervals,
eye plots (Spiegelhalter D., 1999) <doi:10.1111/1467-985X.00120>,
density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>,
quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>,
complementary cumulative distribution function
barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>,
and fit curves with multiple uncertainty ribbons.
Author: Matthew Kay [aut, cre],
Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>
Diff between ggdist versions 2.4.1 dated 2021-06-10 and 3.0.0 dated 2021-07-19
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ggdist-3.0.0/ggdist/R/distributions.R |only ggdist-3.0.0/ggdist/R/geom.R | 230 ++- ggdist-3.0.0/ggdist/R/geom_dotsinterval.R | 350 +--- ggdist-3.0.0/ggdist/R/geom_interval.R | 16 ggdist-3.0.0/ggdist/R/geom_lineribbon.R | 54 ggdist-3.0.0/ggdist/R/geom_pointinterval.R | 248 +-- ggdist-3.0.0/ggdist/R/geom_slabinterval.R | 333 +++- ggdist-3.0.0/ggdist/R/ggdist-package.R | 56 ggdist-3.0.0/ggdist/R/parse_dist.R | 3 ggdist-3.0.0/ggdist/R/point_interval.R | 187 ++ ggdist-3.0.0/ggdist/R/position_dodgejust.R |only ggdist-3.0.0/ggdist/R/scale_.R | 6 ggdist-3.0.0/ggdist/R/scale_colour_ramp.R | 6 ggdist-3.0.0/ggdist/R/stat.R | 59 ggdist-3.0.0/ggdist/R/stat_dist_slabinterval.R | 266 ++- ggdist-3.0.0/ggdist/R/stat_dotsinterval.R | 566 +++---- ggdist-3.0.0/ggdist/R/stat_interval.R | 1 ggdist-3.0.0/ggdist/R/stat_pointinterval.R | 227 +-- ggdist-3.0.0/ggdist/R/stat_sample_slabinterval.R | 123 + ggdist-3.0.0/ggdist/R/stat_slabinterval.R | 18 ggdist-3.0.0/ggdist/R/theme_ggdist.R | 145 +- 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Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone, Ryan Kyle, Johann Popp, Mathew Jay, Charles Reynard, Allison Cheung and Nagendra Singanallur.
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>
Diff between epiR versions 2.0.26 dated 2021-06-01 and 2.0.31 dated 2021-07-19
epiR-2.0.26/epiR/vignettes/epiR_descriptive.tex |only epiR-2.0.31/epiR/DESCRIPTION | 10 epiR-2.0.31/epiR/MD5 | 148 +- epiR-2.0.31/epiR/NAMESPACE | 2 epiR-2.0.31/epiR/NEWS | 41 epiR-2.0.31/epiR/R/epi.2by2.R | 245 +++- epiR-2.0.31/epiR/R/epi.convgrid.R | 81 - epiR-2.0.31/epiR/R/epi.descriptives.R | 6 epiR-2.0.31/epiR/R/epi.directadj.R | 108 + epiR-2.0.31/epiR/R/epi.tests.R | 667 +++++------- epiR-2.0.31/epiR/build/vignette.rds |binary epiR-2.0.31/epiR/inst/doc/epiR_RSurveillance.html | 4 epiR-2.0.31/epiR/inst/doc/epiR_descriptive.R | 41 epiR-2.0.31/epiR/inst/doc/epiR_descriptive.Rmd | 88 - epiR-2.0.31/epiR/inst/doc/epiR_descriptive.html | 210 --- epiR-2.0.31/epiR/inst/doc/epiR_measures_of_association.R |only epiR-2.0.31/epiR/inst/doc/epiR_measures_of_association.Rmd |only epiR-2.0.31/epiR/inst/doc/epiR_measures_of_association.html |only epiR-2.0.31/epiR/inst/doc/epiR_sample_size.html | 4 epiR-2.0.31/epiR/inst/doc/epiR_surveillance.html | 4 epiR-2.0.31/epiR/man/epi.2by2.Rd | 224 ++-- epiR-2.0.31/epiR/man/epi.about.Rd | 4 epiR-2.0.31/epiR/man/epi.betabuster.Rd | 18 epiR-2.0.31/epiR/man/epi.blcm.paras.Rd | 18 epiR-2.0.31/epiR/man/epi.bohning.Rd | 10 epiR-2.0.31/epiR/man/epi.ccc.Rd | 72 - epiR-2.0.31/epiR/man/epi.conf.Rd | 66 - epiR-2.0.31/epiR/man/epi.convgrid.Rd | 15 epiR-2.0.31/epiR/man/epi.cp.Rd | 17 epiR-2.0.31/epiR/man/epi.cpresids.Rd | 22 epiR-2.0.31/epiR/man/epi.descriptives.Rd | 17 epiR-2.0.31/epiR/man/epi.dgamma.Rd | 15 epiR-2.0.31/epiR/man/epi.directadj.Rd | 123 +- epiR-2.0.31/epiR/man/epi.dms.Rd | 9 epiR-2.0.31/epiR/man/epi.dsl.Rd | 1 epiR-2.0.31/epiR/man/epi.edr.Rd | 36 epiR-2.0.31/epiR/man/epi.empbayes.Rd | 6 epiR-2.0.31/epiR/man/epi.herdtest.Rd | 2 epiR-2.0.31/epiR/man/epi.indirectadj.Rd | 25 epiR-2.0.31/epiR/man/epi.insthaz.Rd | 18 epiR-2.0.31/epiR/man/epi.interaction.Rd | 47 epiR-2.0.31/epiR/man/epi.iv.Rd | 2 epiR-2.0.31/epiR/man/epi.kappa.Rd | 20 epiR-2.0.31/epiR/man/epi.ltd.Rd | 7 epiR-2.0.31/epiR/man/epi.mh.Rd | 1 epiR-2.0.31/epiR/man/epi.nomogram.Rd | 4 epiR-2.0.31/epiR/man/epi.occc.Rd | 11 epiR-2.0.31/epiR/man/epi.offset.Rd | 9 epiR-2.0.31/epiR/man/epi.pooled.Rd | 7 epiR-2.0.31/epiR/man/epi.popsize.Rd | 7 epiR-2.0.31/epiR/man/epi.prcc.Rd | 5 epiR-2.0.31/epiR/man/epi.prev.Rd | 23 epiR-2.0.31/epiR/man/epi.psi.Rd | 32 epiR-2.0.31/epiR/man/epi.sscc.Rd | 19 epiR-2.0.31/epiR/man/epi.ssclus1estb.Rd | 5 epiR-2.0.31/epiR/man/epi.ssclus1estc.Rd | 3 epiR-2.0.31/epiR/man/epi.sscohortc.Rd | 6 epiR-2.0.31/epiR/man/epi.sscohortt.Rd | 8 epiR-2.0.31/epiR/man/epi.sscompb.Rd | 2 epiR-2.0.31/epiR/man/epi.sscompc.Rd | 4 epiR-2.0.31/epiR/man/epi.ssdetect.Rd | 4 epiR-2.0.31/epiR/man/epi.ssdxtest.Rd | 4 epiR-2.0.31/epiR/man/epi.ssequc.Rd | 8 epiR-2.0.31/epiR/man/epi.ssninfb.Rd | 12 epiR-2.0.31/epiR/man/epi.ssninfc.Rd | 2 epiR-2.0.31/epiR/man/epi.sssimpleestb.Rd | 2 epiR-2.0.31/epiR/man/epi.sssimpleestc.Rd | 1 epiR-2.0.31/epiR/man/epi.ssstrataestc.Rd | 9 epiR-2.0.31/epiR/man/epi.sssupc.Rd | 2 epiR-2.0.31/epiR/man/epi.ssxsectn.Rd | 4 epiR-2.0.31/epiR/man/epi.tests.Rd | 113 +- epiR-2.0.31/epiR/man/rsu.sep.cens.Rd | 1 epiR-2.0.31/epiR/man/rsu.sep.rsfreecalc.Rd | 1 epiR-2.0.31/epiR/man/rsu.sssep.rb2st1rf.Rd | 1 epiR-2.0.31/epiR/man/rsu.sssep.rbmrg.Rd | 1 epiR-2.0.31/epiR/vignettes/epiR_descriptive.Rmd | 88 - epiR-2.0.31/epiR/vignettes/epiR_measures_of_association.Rmd |only epiR-2.0.31/epiR/vignettes/epiR_measures_of_association.bib |only 78 files changed, 1386 insertions(+), 1466 deletions(-)
Title: Extract Drug Dosages from Free-Text Prescriptions
Description: Utilities for converting unstructured electronic prescribing instructions into structured medication data. Extracts drug dose, units, daily dosing frequency and intervals from English-language prescriptions. Based on Karystianis et al. (2015) <doi:10.1186/s12911-016-0255-x>.
Author: David Selby [aut, cre] (<https://orcid.org/0000-0001-8026-5663>),
Belay Birlie Yimer [ctb],
Ben Marwick [ctb]
Maintainer: David Selby <david.selby@manchester.ac.uk>
Diff between doseminer versions 0.1.0 dated 2021-05-12 and 0.1.2 dated 2021-07-19
DESCRIPTION | 17 ++++---- MD5 | 34 ++++++++--------- NEWS.md | 9 ++++ R/extract.R | 5 +- README.md | 41 ++++++++------------- build/vignette.rds |binary inst/doc/case_study.Rmd | 6 --- inst/doc/case_study.html | 41 +++++---------------- inst/doc/introduction.Rmd | 4 +- inst/doc/introduction.html | 76 +++++++-------------------------------- man/doseminer-package.Rd | 49 ++++++++++++++----------- man/drug_units.Rd | 44 +++++++++++----------- man/extract_from_prescription.Rd | 74 ++++++++++++++++++------------------- man/hourly_to_daily.Rd | 34 ++++++++--------- man/multiply_dose.Rd | 42 ++++++++++----------- man/weekly_to_daily.Rd | 34 ++++++++--------- vignettes/case_study.Rmd | 6 --- vignettes/introduction.Rmd | 4 +- 18 files changed, 224 insertions(+), 296 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-18 1.3
Title: Analysis of Complex Survey Samples
Description: Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement.
Author: Thomas Lumley
Maintainer: "Thomas Lumley" <t.lumley@auckland.ac.nz>
Diff between survey versions 4.0 dated 2020-04-03 and 4.1-1 dated 2021-07-19
survey-4.0/survey/inst/doc/phase1.Rnw |only survey-4.0/survey/vignettes/phase1.Rnw |only survey-4.1-1/survey/DESCRIPTION | 10 survey-4.1-1/survey/INDEX | 1 survey-4.1-1/survey/MD5 | 156 ++++-- survey-4.1-1/survey/NAMESPACE | 31 + survey-4.1-1/survey/R/DBI.R | 6 survey-4.1-1/survey/R/dAIC.R |only survey-4.1-1/survey/R/gofchisq.R |only survey-4.1-1/survey/R/grake.R | 12 survey-4.1-1/survey/R/greg.R | 10 survey-4.1-1/survey/R/logrank.R | 11 survey-4.1-1/survey/R/mrb.R | 2 survey-4.1-1/survey/R/multistage.R | 2 survey-4.1-1/survey/R/naa.R |only survey-4.1-1/survey/R/newsvyquantile.R |only survey-4.1-1/survey/R/olr.R | 56 +- survey-4.1-1/survey/R/pps.R | 76 +++ survey-4.1-1/survey/R/qrule.R |only survey-4.1-1/survey/R/regtest.R | 166 +++++-- survey-4.1-1/survey/R/survey.R | 336 ++------------- survey-4.1-1/survey/R/surveyby.R | 30 - survey-4.1-1/survey/R/surveygraph.R | 4 survey-4.1-1/survey/R/surveyrep.R | 216 --------- survey-4.1-1/survey/R/svymi.R | 47 ++ survey-4.1-1/survey/R/svypredmeans.R | 9 survey-4.1-1/survey/R/svyqq.R |only survey-4.1-1/survey/R/svyquantile.R |only survey-4.1-1/survey/R/svyranktest.R | 3 survey-4.1-1/survey/R/svyttest.R | 5 survey-4.1-1/survey/R/sysdata.rda |binary survey-4.1-1/survey/R/twophase2.R | 8 survey-4.1-1/survey/THANKS | 23 - survey-4.1-1/survey/build/vignette.rds |binary survey-4.1-1/survey/data/api.rda |binary survey-4.1-1/survey/data/crowd.rda |binary survey-4.1-1/survey/data/election.rda |binary survey-4.1-1/survey/data/fpc.rda |binary survey-4.1-1/survey/data/hospital.rda |binary survey-4.1-1/survey/data/mu284.rda |binary survey-4.1-1/survey/data/nhanes.rda |binary survey-4.1-1/survey/data/scd.rda |binary survey-4.1-1/survey/data/yrbs.rda |binary survey-4.1-1/survey/inst/NEWS | 98 ++++ survey-4.1-1/survey/inst/disclaimer | 6 survey-4.1-1/survey/inst/doc/domain.pdf |binary survey-4.1-1/survey/inst/doc/epi.pdf |binary survey-4.1-1/survey/inst/doc/phase1.pdf |binary survey-4.1-1/survey/inst/doc/pps.pdf |binary survey-4.1-1/survey/inst/doc/qrule.Rnw |only survey-4.1-1/survey/inst/doc/qrule.pdf |only survey-4.1-1/survey/inst/doc/survey.pdf |binary survey-4.1-1/survey/man/HR.Rd | 8 survey-4.1-1/survey/man/anova.svyglm.Rd | 14 survey-4.1-1/survey/man/as.svrepdesign.Rd | 22 survey-4.1-1/survey/man/calibrate.Rd | 4 survey-4.1-1/survey/man/confint.svyglm.Rd | 2 survey-4.1-1/survey/man/fpc.Rd | 2 survey-4.1-1/survey/man/hospital.Rd | 2 survey-4.1-1/survey/man/nhanes.Rd | 2 survey-4.1-1/survey/man/oldsvyquantile.Rd |only survey-4.1-1/survey/man/pchisqsum.Rd | 11 survey-4.1-1/survey/man/poisson_sampling.Rd |only survey-4.1-1/survey/man/svyby.Rd | 27 + survey-4.1-1/survey/man/svychisq.Rd | 4 survey-4.1-1/survey/man/svycontrast.Rd | 15 survey-4.1-1/survey/man/svygofchisq.Rd |only survey-4.1-1/survey/man/svylogrank.Rd | 16 survey-4.1-1/survey/man/svypredmeans.Rd | 15 survey-4.1-1/survey/man/svyqqplot.Rd |only survey-4.1-1/survey/man/svyquantile.Rd | 256 +++++------ survey-4.1-1/survey/man/svyranktest.Rd | 4 survey-4.1-1/survey/man/svystandardize.Rd | 2 survey-4.1-1/survey/man/svyttest.Rd | 5 survey-4.1-1/survey/man/with.svyimputationList.Rd | 10 survey-4.1-1/survey/man/withReplicates.Rd | 4 survey-4.1-1/survey/man/yrbs.Rd | 2 survey-4.1-1/survey/tests/README | 5 survey-4.1-1/survey/tests/contrast-replicates.R |only survey-4.1-1/survey/tests/coxph-termtest.R |only survey-4.1-1/survey/tests/datos_ejemplo.rds |only survey-4.1-1/survey/tests/defftest.R |only survey-4.1-1/survey/tests/logranktest.R |only survey-4.1-1/survey/tests/na_action.R |only survey-4.1-1/survey/tests/naa.rda |only survey-4.1-1/survey/tests/newquantile.R |only survey-4.1-1/survey/tests/poisson.R |only survey-4.1-1/survey/tests/quantile.R | 32 - survey-4.1-1/survey/tests/quantile.Rout.save | 46 +- survey-4.1-1/survey/tests/quantiles-chile.R |only survey-4.1-1/survey/tests/svyby_se.R |only survey-4.1-1/survey/tests/toy_example_for_postStratify.R |only survey-4.1-1/survey/vignettes/qrule.Rnw |only 93 files changed, 945 insertions(+), 889 deletions(-)
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Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on
the diversity-dependent birth-death process to test whether
speciation or extinction are diversity-dependent, under various
models including various types of key innovations.
See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309,
<DOI:10.1098/rspb.2011.1439>,
Etienne & Haegeman 2012, Am. Nat. 180: E75-E89,
<DOI:10.1086/667574> and
Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099,
<DOI:10.1111/2041-210X.12565>.
Also contains functions to simulate the diversity-dependent
process.
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>
Diff between DDD versions 4.4.1 dated 2021-01-14 and 5.0 dated 2021-07-19
DDD-4.4.1/DDD/configure |only DDD-4.4.1/DDD/src/Makevars |only DDD-4.4.1/DDD/src/R_init_DDD.c |only DDD-4.4.1/DDD/src/dd_loglik_rhs_FORTRAN.f95 |only DDD-5.0/DDD/DESCRIPTION | 12 - DDD-5.0/DDD/MD5 | 71 +++---- DDD-5.0/DDD/R/RcppExports.R |only DDD-5.0/DDD/R/bd_ML.R | 4 DDD-5.0/DDD/R/bd_loglik.R | 27 +- DDD-5.0/DDD/R/dd_KI_ML.R | 2 DDD-5.0/DDD/R/dd_KI_loglik.R | 49 +++-- DDD-5.0/DDD/R/dd_LR.R | 2 DDD-5.0/DDD/R/dd_ML.R | 2 DDD-5.0/DDD/R/dd_MS_ML.R | 5 DDD-5.0/DDD/R/dd_MS_loglik.R | 266 ++-------------------------- DDD-5.0/DDD/R/dd_SR_ML.R | 2 DDD-5.0/DDD/R/dd_SR_loglik.R | 27 +- DDD-5.0/DDD/R/dd_loglik.R | 101 ++++++---- DDD-5.0/DDD/R/dd_loglik_bw_rhs.R | 7 DDD-5.0/DDD/R/dd_logliknorm_rhs2.R | 2 DDD-5.0/DDD/R/dd_logliknorm_rhs3.R | 4 DDD-5.0/DDD/R/td_loglik_rhs_sim.R | 2 DDD-5.0/DDD/man/bd_ML.Rd | 4 DDD-5.0/DDD/man/bd_loglik.Rd | 10 - DDD-5.0/DDD/man/dd_KI_ML.Rd | 2 DDD-5.0/DDD/man/dd_KI_loglik.Rd | 13 + DDD-5.0/DDD/man/dd_LR.Rd | 2 DDD-5.0/DDD/man/dd_ML.Rd | 2 DDD-5.0/DDD/man/dd_MS_ML.Rd | 5 DDD-5.0/DDD/man/dd_MS_loglik.Rd | 13 + DDD-5.0/DDD/man/dd_SR_ML.Rd | 2 DDD-5.0/DDD/man/dd_SR_loglik.Rd | 2 DDD-5.0/DDD/man/dd_loglik.Rd | 7 DDD-5.0/DDD/man/dd_multiple_KI_loglik.Rd | 4 DDD-5.0/DDD/src/RcppExports.cpp |only DDD-5.0/DDD/src/dd_integrate_bw_odeint.cpp |only DDD-5.0/DDD/src/dd_integrate_odeint.cpp |only DDD-5.0/DDD/src/dd_integrate_td_odeint.cpp |only DDD-5.0/DDD/src/dd_logliknorm_odeint.cpp |only DDD-5.0/DDD/src/odeint_helper.h |only DDD-5.0/DDD/tests/testthat.R | 3 DDD-5.0/DDD/tests/testthat/test_DDD.R | 101 ++++++---- 42 files changed, 319 insertions(+), 436 deletions(-)
Title: Analysis of Basketball Data
Description: Collection of tools to work with basketball data. Functions available are related to friendly
web scraping and visualization. Data were obtained from <https://www.euroleague.net/>,
<https://www.eurocupbasketball.com/> and <https://www.acb.com/>, following the instructions
of their respectives robots.txt files, when available. Tools for visualization include a population pyramid, 2D plots,
circular plots of players' percentiles, plots of players' monthly/yearly stats,
team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games
and maps of nationalities. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>
Diff between BAwiR versions 1.2.6 dated 2021-04-23 and 1.2.7 dated 2021-07-19
DESCRIPTION | 16 ++++++++-------- MD5 | 22 +++++++++++----------- NAMESPACE | 3 +-- NEWS | 5 +++++ R/get_shooting_plot.R | 11 ++++++----- R/scraping_games_euro.R | 4 ++-- inst/doc/BAwiR.R | 30 +++++++++++++++--------------- inst/doc/BAwiR.html | 11 +++++------ man/BAwiR-package.Rd | 11 +++++------ man/acb_games_1718.Rd | 2 +- man/acb_players_1718.Rd | 2 +- man/scraping_games_euro.Rd | 4 ++-- 12 files changed, 62 insertions(+), 59 deletions(-)
Title: Single-Cell Clustering using Autoencoder and Network Fusion
Description: A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.
Author: Bang Tran [aut, cre],
Duc Tran [aut],
Hung Nguyen [aut],
Tin Nguyen [fnd]
Maintainer: Bang Tran <bang.t.s@nevada.unr.edu>
Diff between scCAN versions 1.0.0 dated 2021-07-12 and 1.0.1 dated 2021-07-19
DESCRIPTION | 10 +++++----- MD5 | 7 ++++--- NAMESPACE | 1 + R/Utils.R | 6 ++++++ man/adjustedRandIndex.Rd |only 5 files changed, 16 insertions(+), 8 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-05 2.6.0
2020-07-06 2.3.9
2019-06-03 2.1.8
2019-05-31 2.1.6
2019-02-27 2.1.0
2019-02-07 2.0.0
2018-07-02 1.0.1
2017-12-21 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-03-03 1.1.6
2019-05-29 1.1.4
2019-05-13 1.1.3
2019-01-04 1.1.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-05 0.9-9