Title: Functions to Work with NCBI Accessions and Taxonomy
Description: Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to downloads NCBI data dumps and create a local database for fast and local taxonomic assignment.
Author: Scott Sherrill-Mix [aut, cre]
Maintainer: Scott Sherrill-Mix <shescott@upenn.edu>
Diff between taxonomizr versions 0.5.3 dated 2019-04-22 and 0.6.0 dated 2021-02-08
DESCRIPTION | 10 MD5 | 53 +- NAMESPACE | 1 R/taxa.R | 71 ++- README.md | 61 ++- build/vignette.rds |binary inst/doc/usage.R | 54 +- inst/doc/usage.Rmd | 45 ++ inst/doc/usage.html | 857 ++++++++++++++++++++++---------------------- man/accessionToTaxa.Rd | 12 man/getAccession2taxid.Rd | 9 man/getAccessions.Rd | 19 man/getId.Rd | 23 - man/getId2.Rd | 14 man/getNamesAndNodes.Rd | 9 man/getTaxonomy.Rd | 120 +++--- man/getTaxonomy2.Rd | 122 +++--- man/makeNewick.Rd |only man/prepareDatabase.Rd | 3 man/read.accession2taxid.Rd | 26 - man/read.names.Rd | 10 man/read.names.sql.Rd | 16 man/read.nodes.Rd | 10 man/read.nodes.sql.Rd | 17 man/streamingRead.Rd | 9 man/taxonomizrSwitch.Rd | 2 tests/testthat/test_taxa.R | 105 +++-- vignettes/usage.Rmd | 45 ++ 28 files changed, 980 insertions(+), 743 deletions(-)
Title: Survival Analysis in Health Economic Evaluation
Description: Contains a suite of functions for survival analysis in health economics.
These can be used to run survival models under a frequentist (based on maximum likelihood)
or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian
Monte Carlo). The user can specify a set of parametric models using a common notation and
select the preferred mode of inference. The results can also be post-processed to produce
probabilistic sensitivity analysis and can be used to export the output to an Excel
file (e.g. for a Markov model, as often done by modellers and practitioners). <doi:10.18637/jss.v095.i14>.
Author: Gianluca Baio [aut, cre]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>
Diff between survHE versions 1.1.1 dated 2020-10-07 and 1.1.2 dated 2021-02-08
DESCRIPTION | 16 +++++++---- MD5 | 46 +++++++++++++++---------------- R/make.surv.R | 3 +- R/make.transition.probs.R | 3 +- R/model.fit.plot.R | 3 +- R/poly.weibull.R | 2 + R/print.survHE.R | 3 +- R/psa.plot.R | 5 ++- R/summary.survHE.R | 3 +- R/survHE-package.R | 5 ++- R/utils_fit_models.R | 34 +++++++++++------------ R/utils_make_surv.R | 8 ++++- R/utils_plot_survHE.R | 58 ++++++++++++++++++++++++++++++++-------- man/make.surv.Rd | 3 +- man/make.transition.probs.Rd | 3 +- man/model.fit.plot.Rd | 3 +- man/poly.weibull.Rd | 2 + man/print.survHE.Rd | 3 +- man/psa.plot.Rd | 3 +- man/summary.survHE.Rd | 3 +- man/survHE-package.Rd | 5 ++- src/stan_files/Exponential.stan | 2 - src/stan_files/Gompertz.stan | 6 ++-- src/stan_files/WeibullAF.stan | 2 - 24 files changed, 145 insertions(+), 79 deletions(-)
Title: Armadillo Client for the Armadillo Service
Description: A set of functions to be able to manage data shared on a
'MOLGENIS Armadillo' storage server ('MinIO').
Author: Sido Haakma [aut] (<https://orcid.org/0000-0003-1278-9144>),
Tommy de Boer [aut] (<https://orcid.org/0000-0002-4492-7225>),
Fleur Kelpin [aut, cre] (<https://orcid.org/0000-0003-1527-5130>),
Morris Swertz [aut] (<https://orcid.org/0000-0002-0979-3401>)
Maintainer: Fleur Kelpin <f.kelpin@umcg.nl>
Diff between MolgenisArmadillo versions 1.0.0 dated 2021-02-04 and 1.0.1 dated 2021-02-08
DESCRIPTION | 9 ++++----- MD5 | 6 +++--- NEWS.md | 4 ++++ tests/testthat/test-object.R | 10 +++++----- 4 files changed, 16 insertions(+), 13 deletions(-)
More information about MolgenisArmadillo at CRAN
Permanent link
Title: Statistical Learning Functions
Description: Aids in learning statistical functions incorporating the result of calculus done with each function and how they are obtained, that is, which equation and variables are used. Also for all these equations and their related variables detailed explanations and interactive exercises are also included. All these characteristics allow to the package user to improve the learning of statistics basics by means of their use.
Author: Jose Manuel Gomez Caceres [aut, cre],
Dennis Monheimius [aut],
Eduardo Benito [aut],
Juan Jose Cuadrado [aut],
Universidad de Alcala de Henares [aut]
Maintainer: Jose Manuel Gomez Caceres <josemanuel.gomezc@edu.uah.es>
Diff between LearningRlab versions 1.3 dated 2018-10-30 and 2.2 dated 2021-02-08
DESCRIPTION | 26 MD5 | 96 - NAMESPACE | 4 R/Statistics.R | 3363 ++++++++++++++++++++++++--------------- build/vignette.rds |binary inst/doc/learningRlab.R | 185 +- inst/doc/learningRlab.Rmd | 187 ++ inst/doc/learningRlab.html | 1445 ++++++++++++---- man/LearningRlab.Rd | 7 man/averageDeviation_.Rd | 90 - man/binomial_.Rd |only man/chisquared_.Rd |only man/covariance_.Rd |only man/cv_.Rd |only man/explain.binomial.Rd |only man/explain.chisquared.Rd |only man/explain.covariance.Rd |only man/explain.cv.Rd |only man/explain.fisher.Rd |only man/explain.harmonicMean.Rd |only man/explain.laplace.Rd |only man/explain.normal.Rd |only man/explain.pearson.Rd |only man/explain.percentile.Rd | 72 man/explain.poisson.Rd |only man/explain.tstudent.Rd |only man/explain.variance.Rd | 90 - man/figures/averageDeviation.jpg |only man/figures/binomial.jpg |only man/figures/chisquared.jpg |only man/figures/covariance.jpg |only man/figures/cv.jpg |only man/figures/fisher.jpg |only man/figures/harmonicMean.jpg |only man/figures/laplace.jpg |only man/figures/normal.jpg |only man/figures/pearson.jpg |only man/figures/percentile.jpg |only man/figures/poisson.jpg |only man/figures/quartile.jpg |only man/figures/tstudent.jpg |only man/figures/variance.jpg |binary man/fisher_.Rd |only man/frecuency_abs.Rd | 78 man/frecuency_absolute_acum.Rd | 84 man/frecuency_relative.Rd | 76 man/frecuency_relative_acum.Rd | 84 man/geometricMean_.Rd | 87 - man/harmonicMean_.Rd |only man/interactive.binomial.Rd |only man/interactive.chisquared.Rd |only man/interactive.covariance.Rd |only man/interactive.cv.Rd |only man/interactive.fisher.Rd |only man/interactive.harmonicMean.Rd |only man/interactive.laplace.Rd |only man/interactive.normal.Rd |only man/interactive.pearson.Rd |only man/interactive.poisson.Rd |only man/interactive.tstudent.Rd |only man/laplace_.Rd |only man/median_.Rd | 87 - man/mode_.rd | 91 - man/normal_.Rd |only man/pearson_.Rd |only man/percentile_.Rd | 77 man/poisson_.Rd |only man/quartile_.Rd | 79 man/standardDeviation_.Rd | 93 - man/tstudent_.Rd |only man/variance_.Rd | 86 src/registerDynamicSymbol.c |only vignettes/learningRlab.Rmd | 187 ++ 73 files changed, 4379 insertions(+), 2295 deletions(-)
Title: Plots of the Empirical Attainment Function
Description: Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.
Author: Manuel López-Ibáñez [aut, cre]
(<https://orcid.org/0000-0001-9974-1295>),
Marco Chiarandini [aut],
Carlos Fonseca [aut],
Luís Paquete [aut],
Thomas Stützle [aut],
Mickaël Binois [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>
Diff between eaf versions 1.9-1 dated 2020-03-05 and 2.0 dated 2021-02-08
eaf-1.9-1/eaf/R/calls.R |only eaf-1.9-1/eaf/inst/extdata/ALG_1_dat |only eaf-1.9-1/eaf/inst/extdata/ALG_2_dat |only eaf-1.9-1/eaf/src/Makevars |only eaf-1.9-1/eaf/src/mo-tools/Makefile.libhv |only eaf-2.0/eaf/DESCRIPTION | 23 - eaf-2.0/eaf/MD5 | 161 +++++--- eaf-2.0/eaf/NAMESPACE | 9 eaf-2.0/eaf/NEWS.md | 20 + eaf-2.0/eaf/R/common.R | 1 eaf-2.0/eaf/R/eaf-package.R | 71 +-- eaf-2.0/eaf/R/eaf.R | 481 +++++++++++++++++--------- eaf-2.0/eaf/R/epsilon.R |only eaf-2.0/eaf/R/hv.R | 344 ------------------ eaf-2.0/eaf/R/igd.R |only eaf-2.0/eaf/R/interactive.R |only eaf-2.0/eaf/R/nondominated.R | 24 - eaf-2.0/eaf/R/normalise.R |only eaf-2.0/eaf/R/vorob.R | 4 eaf-2.0/eaf/R/whv.R |only eaf-2.0/eaf/R/zzz.R |only eaf-2.0/eaf/README.md | 13 eaf-2.0/eaf/build |only eaf-2.0/eaf/cleanup |only eaf-2.0/eaf/configure |only eaf-2.0/eaf/configure.ac |only eaf-2.0/eaf/inst/REFERENCES.bib |only eaf-2.0/eaf/inst/extdata/ALG_1_dat.xz |only eaf-2.0/eaf/inst/extdata/ALG_2_dat.xz |only eaf-2.0/eaf/inst/scripts/eafdiff.py | 13 eaf-2.0/eaf/man/CPFs.Rd | 9 eaf-2.0/eaf/man/HybridGA.Rd | 14 eaf-2.0/eaf/man/SPEA2minstoptimeRichmond.Rd | 10 eaf-2.0/eaf/man/SPEA2relativeRichmond.Rd | 8 eaf-2.0/eaf/man/SPEA2relativeVanzyl.Rd | 8 eaf-2.0/eaf/man/Vorob.Rd | 22 - eaf-2.0/eaf/man/choose_eafdiffplot.Rd |only eaf-2.0/eaf/man/eaf-package.Rd | 41 -- eaf-2.0/eaf/man/eafdiff.Rd | 73 +-- eaf-2.0/eaf/man/eafdiffplot.Rd | 148 ++++---- eaf-2.0/eaf/man/eafplot.Rd | 103 +++-- eaf-2.0/eaf/man/eafs.Rd | 21 - eaf-2.0/eaf/man/epsilon.Rd | 42 +- eaf-2.0/eaf/man/gcp2x2.Rd | 18 eaf-2.0/eaf/man/hv_contributions.Rd | 8 eaf-2.0/eaf/man/hypervolume.Rd | 8 eaf-2.0/eaf/man/igd.Rd | 78 +--- eaf-2.0/eaf/man/largest_eafdiff.Rd |only eaf-2.0/eaf/man/macros |only eaf-2.0/eaf/man/nondominated.Rd | 22 - eaf-2.0/eaf/man/normalise.Rd | 5 eaf-2.0/eaf/man/read_datasets.Rd | 40 +- eaf-2.0/eaf/man/whv_hype.Rd |only eaf-2.0/eaf/man/whv_rect.Rd |only eaf-2.0/eaf/src/Makevars.in |only eaf-2.0/eaf/src/Makevars.win | 24 - eaf-2.0/eaf/src/Rcommon.h | 21 + eaf-2.0/eaf/src/Reaf.c | 40 +- eaf-2.0/eaf/src/Repsilon.c | 33 + eaf-2.0/eaf/src/Rhv.c | 75 +++- eaf-2.0/eaf/src/eaf/GNUmakefile | 17 eaf-2.0/eaf/src/eaf/bit_array.h |only eaf-2.0/eaf/src/eaf/eaf.c | 236 +++++++----- eaf-2.0/eaf/src/eaf/eaf.h | 14 eaf-2.0/eaf/src/eaf/eaf3d.c | 2 eaf-2.0/eaf/src/eaf/gcc.mk | 4 eaf-2.0/eaf/src/eaf/io.h | 21 - eaf-2.0/eaf/src/eaf/svn_version | 2 eaf-2.0/eaf/src/init.c | 36 + eaf-2.0/eaf/src/mo-tools/Makefile | 20 - eaf-2.0/eaf/src/mo-tools/cmdline.h | 10 eaf-2.0/eaf/src/mo-tools/dominatedsets.c | 9 eaf-2.0/eaf/src/mo-tools/epsilon.h | 6 eaf-2.0/eaf/src/mo-tools/gcc.mk | 4 eaf-2.0/eaf/src/mo-tools/hv.c | 107 ----- eaf-2.0/eaf/src/mo-tools/igd.c | 9 eaf-2.0/eaf/src/mo-tools/io.h | 21 - eaf-2.0/eaf/src/mo-tools/libhv.mk |only eaf-2.0/eaf/src/mo-tools/ndsort.c | 11 eaf-2.0/eaf/src/mo-tools/nondominated.c | 9 eaf-2.0/eaf/src/mo-tools/svn_version | 2 eaf-2.0/eaf/src/mo-tools/whv.c |only eaf-2.0/eaf/src/mo-tools/whv.h |only eaf-2.0/eaf/src/mo-tools/whv_hype.c |only eaf-2.0/eaf/src/mo-tools/whv_hype.h |only eaf-2.0/eaf/tests/eafplot.R | 6 eaf-2.0/eaf/tests/testthat.R | 1 eaf-2.0/eaf/tests/testthat/helper-common.R |only eaf-2.0/eaf/tests/testthat/test-eaf.R | 6 eaf-2.0/eaf/tests/testthat/test-eafdiffplot.R | 10 eaf-2.0/eaf/tests/testthat/test-eafplot.R | 10 eaf-2.0/eaf/tests/testthat/test-hv.R | 1 eaf-2.0/eaf/tests/testthat/test-normalise.R | 7 eaf-2.0/eaf/tests/testthat/test-pareto-rank.R | 7 eaf-2.0/eaf/tests/testthat/test-vorob.R | 4 eaf-2.0/eaf/tests/testthat/test-whv.R |only eaf-2.0/eaf/tests/testthat/test-whv.rdat |only eaf-2.0/eaf/tests/testthat/test-whv_hype.R |only eaf-2.0/eaf/tools |only 99 files changed, 1310 insertions(+), 1317 deletions(-)
Title: Single-Index Models with a Surface-Link
Description: An implementation of a single-index regression for optimizing individualized dose rules from an observational study. To model interaction effects between baseline covariates and a treatment variable defined on a continuum, we employ two-dimensional penalized spline regression on an index-treatment domain, where the index is defined as a linear combination of the covariates (a single-index). An unspecified main effect for the covariates is allowed, which can also be modeled through a parametric model. A unique contribution of this work is in the parsimonious single-index parametrization specifically defined for the interaction effect term. We refer to Park, Petkova, Tarpey, and Ogden (2020) <doi:10.1111/biom.13320> (for the case of a discrete treatment) and Park, Petkova, Tarpey, and Ogden (2021) "A single-index model with a surface-link for optimizing individualized dose rules" <arXiv:2006.00267v2> for detail of the method. The model can take a member of the exponential family as a response variable and can also take an ordinal categorical response. The main function of this package is simsl().
Author: Hyung Park, Eva Petkova, Thaddeus Tarpey, R. Todd Ogden
Maintainer: Hyung Park <parkh15@nyu.edu>
Diff between simsl versions 0.1.0 dated 2019-10-09 and 0.2.0 dated 2021-02-08
DESCRIPTION | 10 - MD5 | 18 - R/simsl.main.R | 506 +++++++++++++++++++++++++++++++--------------------- R/warfarin.R | 2 data/warfarin.RData |binary man/der.link.Rd | 4 man/fit.simsl.Rd | 59 +++--- man/pred.simsl.Rd | 12 - man/simsl.Rd | 131 ++++++------- man/warfarin.Rd | 2 10 files changed, 429 insertions(+), 315 deletions(-)
Title: Automates the Creation of New Statistical Analysis Projects
Description: Provides functions to
automatically build a directory structure for a new R
project. Using this structure, 'ProjectTemplate'
automates data loading, preprocessing, library
importing and unit testing.
Author: Aleksandar Blagotic [ctb],
Diego Valle-Jones [ctb],
Jeffrey Breen [ctb],
Joakim Lundborg [ctb],
John Myles White [aut, cph],
Josh Bode [ctb],
Kenton White [ctb, cre],
Kirill Mueller [ctb],
Matteo Redaelli [ctb],
Noah Lorang [ctb],
Patrick Schalk [ctb],
Dominik Schneider [ctb],
Gerold Hepp [ctb],
Zunaira Jamile [ctb]
Maintainer: Kenton White <jkentonwhite@gmail.com>
Diff between ProjectTemplate versions 0.10.0 dated 2021-01-08 and 0.10.1 dated 2021-02-08
DESCRIPTION | 14 +-- MD5 | 14 +-- NEWS.md | 10 ++ R/load.project.R | 34 +++++++ build/partial.rdb |binary inst/defaults/templates/full/config/global.dcf | 2 inst/defaults/templates/minimal/config/global.dcf | 2 tests/testthat/test-load.R | 94 ++++++++++++++++++++++ 8 files changed, 150 insertions(+), 20 deletions(-)
More information about ProjectTemplate at CRAN
Permanent link
Title: Genotype Quality Control with 'PLINK'
Description: Genotyping arrays enable the direct measurement of an individuals
genotype at thousands of markers. 'plinkQC' facilitates genotype quality
control for genetic association studies as described by Anderson and
colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic
statistics (e.g. missing genotyping rates per individual, allele frequencies
per genetic marker) and relationship functions accessible from 'R' and
generates a per-individual and per-marker quality control report.
Individuals and markers that fail the quality control can subsequently be
removed to generate a new, clean dataset. Removal of individuals based on
relationship status is optimised to retain as many individuals as possible
in the study.
Author: Hannah Meyer [aut, cre] (<https://orcid.org/0000-0003-4564-0899>)
Maintainer: Hannah Meyer <hannah.v.meyer@gmail.com>
Diff between plinkQC versions 0.3.2 dated 2020-07-07 and 0.3.3 dated 2021-02-08
plinkQC-0.3.2/plinkQC/inst/extdata/data.fail-het.IDs |only plinkQC-0.3.2/plinkQC/inst/extdata/data.fail-imiss.IDs |only plinkQC-0.3.2/plinkQC/inst/extdata/data.fail-sexcheck.IDs |only plinkQC-0.3.2/plinkQC/inst/extdata/data.genome |only plinkQC-0.3.2/plinkQC/inst/extdata/data.het |only plinkQC-0.3.2/plinkQC/inst/extdata/data.imiss |only plinkQC-0.3.2/plinkQC/inst/extdata/data.sexcheck |only plinkQC-0.3.3/plinkQC/DESCRIPTION | 12 plinkQC-0.3.3/plinkQC/MD5 | 129 plinkQC-0.3.3/plinkQC/NAMESPACE | 1 plinkQC-0.3.3/plinkQC/NEWS.md | 33 plinkQC-0.3.3/plinkQC/R/applyQC.R | 197 - plinkQC-0.3.3/plinkQC/R/individualQC.R | 1330 ++++++++-- plinkQC-0.3.3/plinkQC/R/markerQC.R | 342 ++ plinkQC-0.3.3/plinkQC/R/utils.R | 128 plinkQC-0.3.3/plinkQC/README.md | 14 plinkQC-0.3.3/plinkQC/build/vignette.rds |binary plinkQC-0.3.3/plinkQC/inst/doc/AncestryCheck.Rmd | 8 plinkQC-0.3.3/plinkQC/inst/doc/AncestryCheck.pdf |binary plinkQC-0.3.3/plinkQC/inst/doc/Genomes1000.Rmd | 19 plinkQC-0.3.3/plinkQC/inst/doc/Genomes1000.pdf |binary plinkQC-0.3.3/plinkQC/inst/doc/HapMap.Rmd | 9 plinkQC-0.3.3/plinkQC/inst/doc/HapMap.pdf |binary plinkQC-0.3.3/plinkQC/inst/doc/plinkQC.Rmd | 6 plinkQC-0.3.3/plinkQC/inst/doc/plinkQC.pdf |binary plinkQC-0.3.3/plinkQC/inst/extdata/Genomes1000_ID2Pop.txt |only plinkQC-0.3.3/plinkQC/inst/extdata/Genomes1000_PopColors.txt |only plinkQC-0.3.3/plinkQC/inst/extdata/data.HapMapIII.fam |only plinkQC-0.3.3/plinkQC/inst/extdata/data.clean.bed |only plinkQC-0.3.3/plinkQC/inst/extdata/data.clean.bim |only plinkQC-0.3.3/plinkQC/inst/extdata/data.clean.fam |only plinkQC-0.3.3/plinkQC/inst/extdata/exclude_markers |only plinkQC-0.3.3/plinkQC/inst/extdata/extract_markers |only plinkQC-0.3.3/plinkQC/inst/extdata/keep_individuals |only plinkQC-0.3.3/plinkQC/inst/extdata/remove_individuals |only plinkQC-0.3.3/plinkQC/man/checkFiltering.Rd |only plinkQC-0.3.3/plinkQC/man/checkPlink.Rd | 2 plinkQC-0.3.3/plinkQC/man/checkRemoveIDs.Rd |only plinkQC-0.3.3/plinkQC/man/check_ancestry.Rd | 105 plinkQC-0.3.3/plinkQC/man/check_het_and_miss.Rd | 105 plinkQC-0.3.3/plinkQC/man/check_hwe.Rd | 62 plinkQC-0.3.3/plinkQC/man/check_maf.Rd | 61 plinkQC-0.3.3/plinkQC/man/check_relatedness.Rd | 60 plinkQC-0.3.3/plinkQC/man/check_sex.Rd | 100 plinkQC-0.3.3/plinkQC/man/check_snp_missingness.Rd | 61 plinkQC-0.3.3/plinkQC/man/cleanData.Rd | 67 plinkQC-0.3.3/plinkQC/man/evaluate_check_ancestry.Rd | 107 plinkQC-0.3.3/plinkQC/man/evaluate_check_het_and_miss.Rd | 66 plinkQC-0.3.3/plinkQC/man/evaluate_check_relatedness.Rd | 21 plinkQC-0.3.3/plinkQC/man/evaluate_check_sex.Rd | 106 plinkQC-0.3.3/plinkQC/man/perIndividualQC.Rd | 116 plinkQC-0.3.3/plinkQC/man/perMarkerQC.Rd | 62 plinkQC-0.3.3/plinkQC/man/run_check_ancestry.Rd | 45 plinkQC-0.3.3/plinkQC/man/run_check_heterozygosity.Rd | 45 plinkQC-0.3.3/plinkQC/man/run_check_missingness.Rd | 45 plinkQC-0.3.3/plinkQC/man/run_check_relatedness.Rd | 45 plinkQC-0.3.3/plinkQC/man/run_check_sex.Rd | 42 plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.HapMapIII.eigenvec |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.bed |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.bim |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.fail-IBD.IDs |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.fail-het.IDs |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.fail-imiss.IDs |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.fail-sexcheck.IDs |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.fail.IDs |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.fam |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.frq |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.genome |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.het |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.hwe |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.imiss |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.lmiss |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.prune.in |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.prune.out |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.remove.IDs |only plinkQC-0.3.3/plinkQC/tests/testthat/data.clean.sexcheck |only plinkQC-0.3.3/plinkQC/tests/testthat/data_all_passing.het |only plinkQC-0.3.3/plinkQC/tests/testthat/data_all_passing.imiss |only plinkQC-0.3.3/plinkQC/tests/testthat/data_all_passing.sexcheck |only plinkQC-0.3.3/plinkQC/tests/testthat/test-individualQC.R | 117 plinkQC-0.3.3/plinkQC/tests/testthat/test-markerQC.R | 36 plinkQC-0.3.3/plinkQC/tests/testthat/test-utils.R | 17 plinkQC-0.3.3/plinkQC/vignettes/AncestryCheck.Rmd | 8 plinkQC-0.3.3/plinkQC/vignettes/Genomes1000.Rmd | 19 plinkQC-0.3.3/plinkQC/vignettes/HapMap.Rmd | 9 plinkQC-0.3.3/plinkQC/vignettes/plinkQC.Rmd | 6 86 files changed, 3219 insertions(+), 544 deletions(-)
Title: Datasets to Align Financial Markets with Climate Goals
Description: These datasets support the implementation in R of
the software 'PACTA' (Paris Agreement Capital Transition Assessment),
which is a free tool that calculates the alignment between financial
assets and climate scenarios (<https://2degrees-investing.org/>).
Financial institutions use 'PACTA' to study how their capital
allocation impacts the climate. Because both financial institutions
and market data providers keep their data private, this package
provides fake, public data to enable the development and use of
'PACTA' in R.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>),
Jackson Hoffart [aut, dtc] (<https://orcid.org/0000-0002-8600-5042>),
Klaus Hagedorn [aut],
2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>
Diff between r2dii.data versions 0.1.6 dated 2020-12-05 and 0.1.7 dated 2021-02-08
DESCRIPTION | 6 +- MD5 | 64 ++++++++++++------------ NEWS.md | 8 ++- R/classification_bridge.R | 15 +++++ R/utils.R | 26 --------- README.md | 2 data/ald_demo.rda |binary data/data_dictionary.rda |binary data/green_or_brown.rda |binary data/loanbook_demo.rda |binary data/psic_classification.rda |only data/sector_classifications.rda |binary inst/WORDLIST | 30 +++++++---- man/ald_demo.Rd | 2 man/cnb_classification.Rd | 1 man/data_dictionary.Rd | 2 man/gics_classification.Rd | 1 man/green_or_brown.Rd | 2 man/isic_classification.Rd | 1 man/loanbook_demo.Rd | 2 man/nace_classification.Rd | 1 man/naics_classification.Rd | 1 man/psic_classification.Rd |only man/sector_classifications.Rd | 3 - man/sic_classification.Rd | 1 tests/testthat/_snaps/ald_demo.md | 28 +++++----- tests/testthat/_snaps/data_dictionary.md | 10 +-- tests/testthat/_snaps/green_or_brown.md | 8 +-- tests/testthat/_snaps/loanbook_demo.md | 40 +++++++-------- tests/testthat/_snaps/sector_classifications.md | 10 +-- tests/testthat/helper-round_dbl.R | 5 + tests/testthat/test-ald_demo.R | 2 tests/testthat/test-data_dictionary.R | 22 -------- tests/testthat/test-utils.R | 21 ------- 34 files changed, 146 insertions(+), 168 deletions(-)
Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre],
Peter J. van der Most [aut],
Ahmad Vaez [aut],
Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>
Diff between GWASinspector versions 1.4.8.2 dated 2020-10-01 and 1.5.1 dated 2021-02-08
ChangeLog | 8 + DESCRIPTION | 8 - MD5 | 47 +++++----- NAMESPACE | 4 NEWS | 10 ++ R/aaa.R | 2 R/checkConfigFile.R | 29 ++++++ R/class_definition.R | 9 +- R/demoConfig.R | 1 R/drawPlots.R | 24 ++++- R/headerRelatedFunctions.R | 4 R/mafPlotFunction.R | 172 ++++++++++++++++++++++++++++++++++++++++ R/manhattanPlotFunction.R | 4 R/pValueCorPlot.R | 61 +++++++++++++- R/rSQLiteFunctions.R | 180 ++++++++++++++++++++++++++++++++++++++++-- R/run_inspector.R | 5 + R/saveFilesFunctions.R | 18 +++- R/setup_inspector.R | 4 R/studyFunctions.R | 10 +- R/uploadInputFile.R | 2 R/variantMatchingFunctions.R | 4 inst/CITATION |only inst/doc/GWASinspector.html | 4 inst/extdata/config.ini | 20 ++++ inst/rmd/mainReport_extra.rmd | 23 ++++- 25 files changed, 593 insertions(+), 60 deletions(-)
Title: Analysis and Search of Crossover Designs
Description: Generate and analyse crossover designs from combinatorial or search algorithms as well as from literature and a GUI to
access them.
Author: Kornelius Rohmeyer
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>
Diff between Crossover versions 0.1-19 dated 2021-01-04 and 0.1-20 dated 2021-02-08
DESCRIPTION | 9 ++++----- MD5 | 10 +++++----- NEWS | 7 ++++++- inst/doc/Crossover.Rnw | 3 --- inst/doc/Crossover.pdf |binary vignettes/Crossover.Rnw | 3 --- 6 files changed, 15 insertions(+), 17 deletions(-)
Title: Colored Terminal Output
Description: Colored terminal output on terminals that support 'ANSI'
color and highlight codes. It also works in 'Emacs' 'ESS'. 'ANSI'
color support is automatically detected. Colors and highlighting can
be combined and nested. New styles can also be created easily.
This package was inspired by the 'chalk' 'JavaScript' project.
Author: Gábor Csárdi [aut, cre],
Brodie Gaslam [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Diff between crayon versions 1.4.0 dated 2021-01-30 and 1.4.1 dated 2021-02-08
DESCRIPTION | 6 +++--- MD5 | 6 +++--- NEWS.md | 7 +++++++ R/aab-num-ansi-colors.R | 2 ++ 4 files changed, 15 insertions(+), 6 deletions(-)
Title: A Universal Non-Uniform Random Number Generator
Description: A universal non-uniform random number generator
for quite arbitrary distributions with piecewise twice
differentiable densities.
Author: Josef Leydold, Carsten Botts and Wolfgang H\"ormann
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>
Diff between Tinflex versions 1.5 dated 2019-05-28 and 1.7 dated 2021-02-08
Tinflex-1.5/Tinflex/src/Tinflex.c |only Tinflex-1.5/Tinflex/src/Tinflex.h |only Tinflex-1.5/Tinflex/src/Tinflex_source.h |only Tinflex-1.7/Tinflex/DESCRIPTION | 12 Tinflex-1.7/Tinflex/MD5 | 46 +- Tinflex-1.7/Tinflex/NAMESPACE | 6 Tinflex-1.7/Tinflex/NEWS | 15 Tinflex-1.7/Tinflex/R/plot.R | 10 Tinflex-1.7/Tinflex/R/print.R | 40 + Tinflex-1.7/Tinflex/R/sample.R | 6 Tinflex-1.7/Tinflex/R/setup.R | 7 Tinflex-1.7/Tinflex/R/setup_C.R |only Tinflex-1.7/Tinflex/TODO | 15 Tinflex-1.7/Tinflex/build |only Tinflex-1.7/Tinflex/inst |only Tinflex-1.7/Tinflex/man/Tinflex-package.Rd | 32 - Tinflex-1.7/Tinflex/man/Tinflex.sample.Rd | 13 Tinflex-1.7/Tinflex/man/Tinflex.setup.Rd | 26 - Tinflex-1.7/Tinflex/man/plot.Tinflex.Rd | 12 Tinflex-1.7/Tinflex/man/print.Tinflex.Rd | 14 Tinflex-1.7/Tinflex/src/Tinflex_C.c |only Tinflex-1.7/Tinflex/src/Tinflex_C.h |only Tinflex-1.7/Tinflex/src/Tinflex_RC.c |only Tinflex-1.7/Tinflex/src/Tinflex_RC.h |only Tinflex-1.7/Tinflex/src/Tinflex_RC_arrays.h |only Tinflex-1.7/Tinflex/src/Tinflex_lib.c |only Tinflex-1.7/Tinflex/src/Tinflex_lib.h |only Tinflex-1.7/Tinflex/src/Tinflex_lib_shared_private.h |only Tinflex-1.7/Tinflex/src/init.c | 24 - Tinflex-1.7/Tinflex/tests/chisq.R |only Tinflex-1.7/Tinflex/tests/ftable.R |only Tinflex-1.7/Tinflex/tests/tests.R | 437 +++++++++---------- 32 files changed, 410 insertions(+), 305 deletions(-)
Title: Ratio-of-Uniforms Simulation with Transformation
Description: Uses the generalized ratio-of-uniforms (RU) method to simulate
from univariate and (low-dimensional) multivariate continuous distributions.
The user specifies the log-density, up to an additive constant. The RU
algorithm is applied after relocation of mode of the density to zero, and
the user can choose a tuning parameter r. For details see Wakefield, Gelfand
and Smith (1991) <DOI:10.1007/BF01889987>, Efficient generation of random
variates via the ratio-of-uniforms method, Statistics and Computing (1991)
1, 129-133. A Box-Cox variable transformation can be used to make the input
density suitable for the RU method and to improve efficiency. In the
multivariate case rotation of axes can also be used to improve efficiency.
From version 1.2.0 the 'Rcpp' package
<https://cran.r-project.org/package=Rcpp> can be used to improve efficiency.
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Diff between rust versions 1.3.10 dated 2020-09-02 and 1.3.11 dated 2021-02-08
DESCRIPTION | 8 +-- MD5 | 31 ++++++------- NEWS.md | 6 ++ R/gp_example.R | 8 +-- R/ru_sampling.R | 6 +- R/ru_sampling_rcpp.R | 2 R/rust.R | 2 build/partial.rdb |only build/vignette.rds |binary inst/doc/rust-a-vignette.html | 24 ++++++++-- inst/doc/rust-b-when-to-use-vignette.html | 69 ++++++++++++++++++------------ inst/doc/rust-c-using-rcpp-vignette.html | 46 +++++++++++++------- man/gpd_init.Rd | 6 +- man/gpd_logpost.Rd | 2 man/ru.Rd | 2 man/ru_rcpp.Rd | 2 man/rust.Rd | 2 17 files changed, 135 insertions(+), 81 deletions(-)
Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries,
generate data dictionaries, and simulate a data step.
The libname() function will load a directory of data into
a library in one line of code. The dictionary() function
will generate data dictionaries for individual
data frames or an entire library. And the datestep() function
will perform row-by-row data processing.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>
Diff between libr versions 1.1.1 dated 2021-01-06 and 1.1.3 dated 2021-02-08
DESCRIPTION | 6 MD5 | 22 - NEWS.md | 5 R/datastep.R | 20 + README.md | 2 inst/doc/libr-basics.html | 375 ++++++--------------------- inst/doc/libr-datastep.html | 557 +++++++++++++---------------------------- inst/doc/libr-disclaimer.html | 199 -------------- inst/doc/libr-eq.html | 273 ++------------------ inst/doc/libr-management.html | 465 +++++++++------------------------- inst/doc/libr.html | 389 +++++++--------------------- tests/testthat/test-datastep.R | 42 +++ 12 files changed, 623 insertions(+), 1732 deletions(-)
Title: Interval and Enum-Type Representation of Vectors
Description: Enum-type representation of vectors and representation
of intervals, including a method of coercing variables in data frames.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between inum versions 1.0-2 dated 2021-02-04 and 1.0-3 dated 2021-02-08
DESCRIPTION | 8 +- MD5 | 6 - inst/NEWS.Rd | 8 ++ tests/regtest.Rout.save | 160 ++++++++++++++++++++++++------------------------ 4 files changed, 95 insertions(+), 87 deletions(-)
Title: Entropy-Based Segregation Indices
Description: Computes entropy-based segregation indices, as developed by
Theil (1971) <isbn:978-0471858454>, with a focus on
the Mutual Information Index (M) and Theil's Information Index (H).
The M, further described by Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x>
and Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008>,
is a measure of segregation that is highly decomposable. The package provides
tools to decompose the index by units and groups (local segregation),
and by within and between terms. The package also provides a method to decompose
differences in segregation as described by Elbers (2021) <doi:10.1177/0049124121986204>
Includes standard error estimation by bootstrapping.
Author: Benjamin Elbers [aut, cre] (<https://orcid.org/0000-0001-5392-3448>)
Maintainer: Benjamin Elbers <be2239@columbia.edu>
Diff between segregation versions 0.4.0 dated 2021-01-08 and 0.5.0 dated 2021-02-08
DESCRIPTION | 16 ++-- MD5 | 42 ++++++----- NAMESPACE | 2 NEWS.md | 8 ++ R/dissimilarity.R |only R/mutual.R | 120 +++++++++++++++++--------------- R/mutual_difference.R | 21 ++--- R/segregation.R | 62 ++++++++++++++++ README.md | 96 +++++++++++++------------ build |only inst |only man/dissimilarity.Rd |only man/matrix_to_long.Rd |only man/mutual_difference.Rd | 9 ++ man/mutual_local.Rd | 9 ++ man/mutual_total.Rd | 16 +++- man/mutual_within.Rd | 22 ++++- tests/testthat/test_dissimilarity.R |only tests/testthat/test_ipf.R | 18 ++-- tests/testthat/test_matrix_to_long.R |only tests/testthat/test_mutual_difference.R | 11 +- tests/testthat/test_mutual_local.R | 16 ++-- tests/testthat/test_mutual_total.R | 22 +++-- tests/testthat/test_mutual_within.R | 46 +++++++----- vignettes |only 25 files changed, 344 insertions(+), 192 deletions(-)
Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to
load live data from a 'LabKey' Server, <https://www.labkey.com/>,
into the R environment for analysis, provided users have permissions
to read the data. It also enables R users to insert, update, and
delete records stored on a 'LabKey' Server, provided they have appropriate
permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>
Diff between Rlabkey versions 2.5.5 dated 2020-12-17 and 2.6.0 dated 2021-02-08
DESCRIPTION | 8 ++++---- MD5 | 13 +++++++++---- NAMESPACE | 4 ++++ NEWS | 3 +++ R/labkey.pipeline.R |only man/Rlabkey-package.Rd | 4 ++-- man/labkey.pipeline.getFileStatus.Rd |only man/labkey.pipeline.getPipelineContainer.Rd |only man/labkey.pipeline.getProtocols.Rd |only man/labkey.pipeline.startAnalysis.Rd |only 10 files changed, 22 insertions(+), 10 deletions(-)
Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals
for general linear hypotheses in parametric models, including
linear, generalized linear, linear mixed effects, and survival models.
The package includes demos reproducing analyzes presented
in the book "Multiple Comparisons Using R" (Bretz, Hothorn,
Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>),
Frank Bretz [aut],
Peter Westfall [aut],
Richard M. Heiberger [ctb],
Andre Schuetzenmeister [ctb],
Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between multcomp versions 1.4-15 dated 2020-11-14 and 1.4-16 dated 2021-02-08
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/helpers.R | 9 ++++++++- inst/NEWS | 6 ++++++ inst/doc/chfls1.pdf |binary inst/doc/generalsiminf.pdf |binary inst/doc/multcomp-examples.Rnw | 8 ++++---- inst/doc/multcomp-examples.pdf |binary vignettes/multcomp-examples.Rnw | 8 ++++---- 9 files changed, 34 insertions(+), 21 deletions(-)
Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general independence
problem including two-sample, K-sample (non-parametric ANOVA), correlation,
censored, ordered and multivariate problems described in
<doi:10.18637/jss.v028.i08>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>),
Henric Winell [aut] (<https://orcid.org/0000-0001-7995-3047>),
Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>),
Mark A. van de Wiel [aut] (<https://orcid.org/0000-0003-4780-8472>),
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between coin versions 1.4-0 dated 2021-01-16 and 1.4-1 dated 2021-02-08
DESCRIPTION | 10 +++++----- MD5 | 22 +++++++++++----------- build/partial.rdb |binary inst/NEWS.Rd | 10 ++++++++++ inst/doc/Implementation.pdf |binary inst/doc/LegoCondInf.Rnw | 2 +- inst/doc/LegoCondInf.pdf |binary inst/doc/MAXtest.Rnw | 2 +- inst/doc/MAXtest.pdf |binary inst/doc/coin.pdf |binary vignettes/LegoCondInf.Rnw | 2 +- vignettes/MAXtest.Rnw | 2 +- 12 files changed, 30 insertions(+), 20 deletions(-)
Title: Bayesian Multi-Plate High-Throughput Screening of Compounds
Description: Can be used for joint identification of candidate compound hits from multiple assays, in drug discovery. This package implements the framework of I. D. Shterev, D. B. Dunson, C. Chan and G. D. Sempowski. "Bayesian Multi-Plate High-Throughput Screening of Compounds", Scientific Reports 8(1):9551, 2018. This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.
Author: Ivo D. Shterev [aut, cre],
David B. Dunson [aut],
Cliburn Chan [aut],
Gregory D. Sempowski [aut]
Maintainer: Ivo D. Shterev <i.shterev@gmail.com>
Diff between BHTSpack versions 0.5 dated 2018-09-10 and 0.6 dated 2021-02-08
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ R/r.fdr.R | 4 ++++ build/partial.rdb |binary build/vignette.rds |binary inst/doc/BHTSpackManual.R | 14 +++++++------- inst/doc/BHTSpackManual.pdf |binary 7 files changed, 22 insertions(+), 18 deletions(-)
Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and
visualizing tree-structured regression and classification models. This
unified infrastructure can be used for reading/coercing tree models from
different sources ('rpart', 'RWeka', 'PMML') yielding objects that share
functionality for print()/plot()/predict() methods. Furthermore, new and improved
reimplementations of conditional inference trees (ctree()) and model-based
recursive partitioning (mob()) from the 'party' package are provided based
on the new infrastructure. A description of this package was published
by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>),
Heidi Seibold [ctb] (<https://orcid.org/0000-0002-8960-9642>),
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between partykit versions 1.2-11 dated 2020-12-09 and 1.2-12 dated 2021-02-08
DESCRIPTION | 8 +++--- MD5 | 49 ++++++++++++++++++++-------------------- R/ctree.R | 7 ++--- R/extree.R | 20 +++++++++++----- R/glmtree.R | 9 ++++--- R/mob-plot.R | 2 - R/modelparty.R | 1 R/print.R | 2 - R/simpleparty.R | 4 +-- R/utils.R | 14 +++++++++++ R/varimp.R | 2 - build/partial.rdb |only inst/NEWS.Rd | 22 +++++++++++++++++ inst/doc/constparty.pdf |binary inst/doc/ctree.Rnw | 2 - inst/doc/ctree.pdf |binary inst/doc/mob.pdf |binary inst/doc/partykit.pdf |binary man/cforest.Rd | 4 +-- man/glmtree.Rd | 5 ++-- man/varimp.Rd | 6 ++-- tests/bugfixes.R | 6 ++++ tests/bugfixes.Rout.save | 10 ++++++-- tests/regtest-glmtree.Rout.save | 36 ++++++++++++++--------------- tests/regtest-honesty.R | 3 +- vignettes/ctree.Rnw | 2 - 26 files changed, 138 insertions(+), 76 deletions(-)
Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space
Models
Description: Efficient methods for Bayesian inference of state space models
via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel
importance sampling type weighted estimators
(Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>).
Gaussian, Poisson, binomial, negative binomial, and Gamma
observation densities and basic stochastic volatility models
with linear-Gaussian state dynamics,
as well as general non-linear Gaussian models and discretised
diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>),
Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>
Diff between bssm versions 1.1.0 dated 2021-01-20 and 1.1.2 dated 2021-02-08
DESCRIPTION | 8 MD5 | 76 +-- NEWS | 19 R/as_bssm.R | 14 R/check_arguments.R | 12 R/importance_sample.R | 6 R/models.R | 8 R/post_correction.R | 13 R/run_mcmc.R | 15 inst/doc/bssm.html | 380 +++++------------ inst/doc/growth_model.R | 6 inst/doc/growth_model.Rmd | 7 inst/doc/growth_model.html | 266 ++--------- inst/doc/psi_pf.html | 270 ++---------- man/post_correct.Rd | 11 man/run_mcmc_g.Rd | 2 man/run_mcmc_ng.Rd | 13 man/ssm_ung.Rd | 2 man/suggest_N.Rd | 2 src/R_mcmc.cpp | 116 +++-- src/R_postcorrection.cpp | 16 src/approx_mcmc.cpp | 959 ++++++++++++++++++++++++++++++++++++------- src/approx_mcmc.h | 21 src/bssm.h | 3 src/dmvnorm.cpp | 93 ++-- src/mcmc.cpp | 117 +++-- src/mcmc.h | 14 src/model_ssm_mlg.cpp | 6 src/model_ssm_mng.cpp | 26 - src/model_ssm_nlg.cpp | 18 src/model_ssm_ulg.cpp | 2 src/model_ssm_ulg.h | 2 src/model_ssm_ung.cpp | 10 src/model_ssm_ung.h | 2 src/parset_lg.cpp |only src/parset_lg.h |only src/parset_ng.cpp |only src/parset_ng.h |only tests/testthat/test_basics.R | 82 +++ tests/testthat/test_mcmc.R | 8 vignettes/growth_model.Rmd | 7 41 files changed, 1564 insertions(+), 1068 deletions(-)
Title: Power Analysis for Meta-Analysis
Description: A simple and effective tool for computing and visualizing statistical power for meta-analysis,
including power analysis of main effects (Jackson & Turner, 2017)<doi:10.1002/jrsm.1240>,
test of homogeneity (Pigott, 2012)<doi:10.1007/978-1-4614-2278-5>, subgroup analysis,
and categorical moderator analysis (Hedges & Pigott, 2004)<doi:10.1037/1082-989X.9.4.426>.
Author: Jason Griffin [aut, cre]
Maintainer: Jason Griffin <jasongriffin138@gmail.com>
Diff between metapower versions 0.2.1 dated 2020-12-09 and 0.2.2 dated 2021-02-08
DESCRIPTION | 6 MD5 | 94 +++---- NEWS.md | 8 R/compute_homogen_power.R | 41 --- R/compute_homogen_range.R | 2 R/compute_mod_power.R | 38 -- R/compute_mod_range.R | 17 - R/compute_power.R | 33 -- R/compute_power_range.R | 2 R/compute_subgroup_power.R | 41 --- R/compute_subgroup_range.R | 21 - R/compute_variance.R | 6 R/homogen_power.R | 31 +- R/homogen_power_integrity.R | 29 +- R/mod_power.R | 35 +- R/mod_power_integrity.R | 31 +- R/mpower.R | 44 +-- R/mpower_integrity.R | 29 +- R/plot_homogen_power.R | 35 +- R/plot_mod_power.R | 41 --- R/plot_mpower.R | 40 --- R/plot_subgroup_power.R | 39 --- R/print.homogen_power.R | 9 R/print.mod_power.R | 15 - R/print.mpower.R | 9 R/print.subgroup_power.R | 14 - R/subgroup_power.R | 33 +- R/subgroup_power_integrity.R | 36 +- R/summary.homogen_power.R | 9 R/summary.mod_power.R | 16 - R/summary.mpower.R | 10 R/summary.subgroup_power.R | 10 README.md | 16 - inst/CITATION | 4 inst/doc/Using-metapower.R | 16 - inst/doc/Using-metapower.Rmd | 28 +- inst/doc/Using-metapower.html | 127 ++++------ inst/shiny_metapower/rsconnect/shinyapps.io/jason-griffin/shiny_metapower.dcf | 4 inst/shiny_metapower/server.R | 121 +++++---- inst/shiny_metapower/ui.R | 20 + man/figures/README-unnamed-chunk-3-1.png |binary man/homogen_power.Rd | 16 + man/mod_power.Rd | 13 - man/mpower.Rd | 9 man/subgroup_power.Rd | 13 - tests/testthat/test-input-output.R | 50 +-- tests/testthat/test-published-calc.R | 20 + vignettes/Using-metapower.Rmd | 28 +- 48 files changed, 637 insertions(+), 672 deletions(-)
Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning.
The core of the package is ctree(), an implementation of
conditional inference trees which embed tree-structured
regression models into a well defined theory of conditional
inference procedures. This non-parametric class of regression
trees is applicable to all kinds of regression problems, including
nominal, ordinal, numeric, censored as well as multivariate response
variables and arbitrary measurement scales of the covariates.
Based on conditional inference trees, cforest() provides an
implementation of Breiman's random forests. The function mob()
implements an algorithm for recursive partitioning based on
parametric models (e.g. linear models, GLMs or survival
regression) employing parameter instability tests for split
selection. Extensible functionality for visualizing tree-structured
regression models is available. The methods are described in
Hothorn et al. (2006) <doi:10.1198/106186006X133933>,
Zeileis et al. (2008) <doi:10.1198/106186008X319331> and
Strobl et al. (2007) <doi:10.1186/1471-2105-8-25>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>),
Kurt Hornik [aut],
Carolin Strobl [aut],
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between party versions 1.3-5 dated 2020-06-12 and 1.3-6 dated 2021-02-08
DESCRIPTION | 8 ++++---- MD5 | 27 ++++++++++++++------------- build/partial.rdb |only build/vignette.rds |binary inst/CITATION | 8 ++++---- inst/NEWS | 6 ++++++ inst/doc/MOB.pdf |binary inst/doc/party.Rnw | 2 +- inst/doc/party.pdf |binary man/cforest.Rd | 4 ++-- man/ctree.Rd | 4 ++-- man/panelfunctions.Rd | 2 +- man/plot.BinaryTree.Rd | 2 +- man/varimp.Rd | 8 ++++---- vignettes/party.Rnw | 2 +- 15 files changed, 40 insertions(+), 33 deletions(-)
Title: Revisiting Base Rapply
Description: The minimal 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function builds upon rapply()'s native 'C' implementation and requires no other package dependencies.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>
Diff between rrapply versions 1.2.2 dated 2021-01-25 and 1.2.3 dated 2021-02-08
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 4 ++++ R/rrapply.R | 2 +- inst/doc/rrapply.pdf |binary 5 files changed, 13 insertions(+), 9 deletions(-)
Title: Genome-Wide Association Study with SNP-Set Methods
Description: By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.
Author: Kosuke Hamazaki [aut, cre],
Hiroyoshi Iwata [aut, ctb]
Maintainer: Kosuke Hamazaki <hamazaki@ut-biomet.org>
Diff between RAINBOWR versions 0.1.21 dated 2020-10-26 and 0.1.26 dated 2021-02-08
DESCRIPTION | 14 - MD5 | 52 +-- NAMESPACE | 12 R/EMM_functions_cpp.R | 393 ++++++++++++++-------------- R/RGWAS.epistasis.R | 23 - R/RGWAS.multisnp.R | 17 - R/RGWAS.normal.R | 23 + R/RGWAS.twostep.epi.R | 13 R/SS_gwas.R | 4 R/functions_for_RGWAS.R | 332 +++++++++++++++-------- R/other_useful_functions.R | 124 +++++--- README.md | 11 inst/doc/RAINBOWR.Rmd | 10 inst/doc/RAINBOWR.html | 571 ++++++++++++----------------------------- man/EM3.cpp.Rd | 3 man/EM3.linker.cpp.Rd | 3 man/EMM.cpp.Rd | 3 man/EMM1.cpp.Rd | 3 man/RGWAS.epistasis.Rd | 2 man/RGWAS.twostep.epi.Rd | 4 man/estNetwork.Rd | 2 man/estPhylo.Rd | 2 man/manhattan3.Rd | 9 man/score.calc.LR.Rd | 3 man/score.calc.Rd | 3 man/score.calc.epistasis.LR.Rd | 3 vignettes/RAINBOWR.Rmd | 10 27 files changed, 810 insertions(+), 839 deletions(-)
Title: Interactive Add-on Functionality for 'intamap'
Description: Includes additional functionality for spatial interpolation in the intamap package, such as bias correction and network optimization.
Author: Edzer Pebesma <edzer.pebesma@uni-muenster.de>, Jon Skoien <jon.skoien@gmail.com> with contributions from Olivier Baume, A.Chorti, D.T. Hristopulos, S.J. Melles, G. Spiliopoulos
Maintainer: Jon Skoien <jon.skoien@gmail.com>
Diff between intamapInteractive versions 1.1-12 dated 2018-02-23 and 1.1-13 dated 2021-02-08
DESCRIPTION | 11 MD5 | 28 NAMESPACE | 3 R/doSegmentation.R | 1610 +++++++++++++++++++------------------- R/optimizeNetwork.R | 16 R/preProcess.R | 12 R/spCovAdd.R | 4 demo/00Index | 6 demo/optimizingTest.R | 318 +++---- man/anisotropyChoice.Rd | 182 ++-- man/doSegmentation.Rd | 206 ++-- man/intamapInteractive-package.rd | 54 - man/spCovDel.Rd | 5 tests/findRegionalBias.R | 70 - tests/optimizingTest.R | 334 +++---- 15 files changed, 1431 insertions(+), 1428 deletions(-)
More information about intamapInteractive at CRAN
Permanent link
Title: Linear Test Statistics for Permutation Inference
Description: Basic infrastructure for linear test statistics and permutation
inference in the framework of Strasser and Weber (1999) <https://epub.wu.ac.at/102/>.
This package must not be used by end-users. CRAN package 'coin' implements all
user interfaces and is ready to be used by anyone.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between libcoin versions 1.0-7 dated 2021-01-15 and 1.0-8 dated 2021-02-08
DESCRIPTION | 8 MD5 | 32 +-- R/AAA.R | 2 R/ctabs.R | 2 R/libcoin.R | 2 inst/NEWS.Rd | 7 inst/doc/libcoin.Rnw | 322 ++++++++++++++++++++-------------------- inst/doc/libcoin.pdf |binary inst/include/libcoin.h | 2 inst/include/libcoinAPI.h | 2 inst/include/libcoin_internal.h | 2 src/libcoin-init.c | 2 src/libcoin.c | 4 src/libcoin.h | 2 src/libcoinAPI.h | 2 src/libcoin_internal.h | 2 vignettes/libcoin.Rnw | 322 ++++++++++++++++++++-------------------- 17 files changed, 361 insertions(+), 354 deletions(-)
Title: Convert Arabic Numerals to Kansuji
Description: Simple functions to convert given Arabic numerals to Kansuji
numerical figures that represent numbers written in Chinese characters.
Author: Mao Kobayashi [aut, cre]
Maintainer: Mao Kobayashi <kobamao.jp@gmail.com>
Diff between arabic2kansuji versions 0.1.0 dated 2021-01-05 and 0.1.1 dated 2021-02-08
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 5 +++++ R/arabic2kansuji.R | 8 -------- README.md | 3 ++- inst/WORDLIST | 1 - 6 files changed, 15 insertions(+), 18 deletions(-)
More information about arabic2kansuji at CRAN
Permanent link
Title: Visualize Data for Host and Viral Population from 'SMITIDstruct'
using 'HTMLwidgets'
Description: Visualisation tools for 'SMITIDstruct' package.
Allow to visualize host timeline, transmission tree, index diversities
and variant graph using 'HTMLwidgets'. It mainly using 'D3JS' javascript framework.
Author: Jean-Francois Rey [aut, cre],
Julien Boge [ctb]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>
Diff between SMITIDvisu versions 0.0.8 dated 2020-11-05 and 0.0.9 dated 2021-02-08
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- R/SMITIDvisu.R | 4 ++-- man/SMITIDvisu-package.Rd | 4 ++-- tests/testthat/maptt/test-getFeatureDataById.R | 2 +- 5 files changed, 14 insertions(+), 14 deletions(-)
Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph],
Yann Collet [ctb, cph] (Yann Collet is the author of the bundled zstd,
lz4 and xxHash code),
Facebook, Inc. [cph] (Facebook is the copyright holder of the bundled
zstd code),
Reichardt Tino [ctb, cph] (Contributor/copyright holder of zstd bundled
code),
Skibinski Przemyslaw [ctb, cph] (Contributor/copyright holder of zstd
bundled code),
Mori Yuta [ctb, cph] (Contributor/copyright holder of zstd bundled
code),
Romain Francois [ctb, cph] (Derived example/tutorials for ALTREP
structures),
Francesc Alted [ctb, cph] (Shuffling routines derived from Blosc
library),
Bryce Chamberlain [ctb] (qsavem and qload functions),
R Core Team [ctb] (R_expand_binding_value function),
Gentleman Robert [ctb, cph] (R_expand_binding_value function),
Ihaka Ross [ctb, cph] (R_expand_binding_value function),
R Core Team [ctb, cph] (R_expand_binding_value function)
Maintainer: Travers Ching <traversc@gmail.com>
Diff between qs versions 0.23.5 dated 2021-01-06 and 0.23.6 dated 2021-02-08
ChangeLog | 3 DESCRIPTION | 22 +++- MD5 | 74 ++++++++-------- R/RcppExports.R | 8 + R/help_files.R | 178 ++++++++++++++++++++-------------------- R/zzz.R | 2 README.md | 8 - configure | 37 ++++++-- configure.ac | 37 ++++++-- inst/doc/vignette.html | 98 ++++++++++++---------- inst/include/qs_RcppExports.h | 39 ++++++++ man/base85_encode.Rd | 12 +- man/base91_encode.Rd | 4 man/convertToAlt.Rd | 2 man/is_big_endian.Rd | 4 man/lz4_compress_bound.Rd | 2 man/lz4_compress_raw.Rd | 2 man/qdeserialize.Rd | 2 man/qdump.Rd | 6 - man/qread.Rd | 8 - man/qread_fd.Rd | 2 man/qread_handle.Rd | 2 man/qread_ptr.Rd | 2 man/qsave.Rd | 38 ++++---- man/qsave_fd.Rd | 8 - man/qsave_handle.Rd | 8 - man/qserialize.Rd | 8 - man/starnames.Rd | 2 man/zstd_compress_bound.Rd | 2 man/zstd_compress_raw.Rd | 2 src/Makevars.in | 2 src/Makevars.win | 10 +- src/RcppExports.cpp | 71 +++++++++++++++ src/expand_binding_value.cpp |only src/expand_binding_value.h |only src/extra_functions.h | 12 ++ src/qs_common.h | 2 src/qs_deserialization_stream.h | 2 src/qs_serialize_common.h | 43 ++------- 39 files changed, 472 insertions(+), 292 deletions(-)
Title: Alternative Factor Coding Matrices for Linear Model Formulae
Description: A collection of coding functions as alternatives to the standard
functions in the stats package, which have names starting with 'contr.'. Their
main advantage is that they provide a consistent method for defining marginal
effects in factorial models. In a simple one-way ANOVA model the
intercept term is always the simple average of the class means.
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>
Diff between codingMatrices versions 0.3.2 dated 2018-02-18 and 0.3.3 dated 2021-02-08
DESCRIPTION | 8 MD5 | 17 build/vignette.rds |binary inst/doc/codingMatrices.R | 56 inst/doc/codingMatrices.Rnw | 2250 +++++++++++++++---------------- inst/doc/codingMatrices.pdf |binary vignettes/WNVvignette.sty | 296 ++-- vignettes/codingMatrices-concordance.tex |only vignettes/codingMatrices.Rnw | 2250 +++++++++++++++---------------- vignettes/defs.tex | 34 10 files changed, 2456 insertions(+), 2455 deletions(-)
More information about codingMatrices at CRAN
Permanent link
Title: Computation of the Double-Entry Intraclass Correlation
Description: The function computes the double-entry intraclass correlation, which is an index of profile similarity (Furr, 2010; McCrae, 2008). The double-entry intraclass correlation is a more precise index of the agreement of two empirically observed profiles than the often-used intraclass correlation (McCrae, 2008). The function transforms profiles comprising correlations according to the Fisher z-transformation before the double-entry intraclass correlation is calculated. If the profiles comprise scores such as sum scores from various personality scales, it is recommended to standardize each individual score before entering into the function (McCrae, 2008). In case of missing values, the function will automatically use pairwise deletion. For details, see Furr (2010) <doi:10.1080/00223890903379134> or McCrae (2008) <doi:10.1080/00223890701845104>.
Author: Christian Blötner, Michael Paul Grosz
Maintainer: Christian Blötner <c.bloetner@gmail.com>
Diff between iccde versions 0.3.0 dated 2021-01-21 and 0.3.1 dated 2021-02-08
DESCRIPTION | 9 ++-- MD5 | 6 +-- R/iccde.R | 86 +++++++++++++++++++++++++------------------- man/iccde.Rd | 114 +++++++++++++++++++++++++++++++---------------------------- 4 files changed, 117 insertions(+), 98 deletions(-)
Title: R Commander Plug-in for Dichotomous Choice Contingent Valuation
Description: Adds menu items to the R Commander for parametric analysis of dichotomous choice contingent valuation (DCCV) data. CV is a question-based survey method to elicit individuals' preferences for goods and services. This package depends on functions regarding parametric DCCV analysis in the package DCchoice. See Carson and Hanemann (2005) <doi:10.1016/S1574-0099(05)02017-6> for DCCV.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>
Diff between RcmdrPlugin.DCCV versions 0.1-0 dated 2020-11-02 and 0.1-1 dated 2021-02-08
DESCRIPTION | 8 - MD5 | 8 - R/RcmdrPlugin.DCCV.R | 183 +++++++++++++++++++++++++++++++--------- inst/etc/menus.txt | 12 +- man/RcmdrPlugin.DCCV-package.Rd | 16 +-- 5 files changed, 168 insertions(+), 59 deletions(-)
More information about RcmdrPlugin.DCCV at CRAN
Permanent link
Title: API Client for Fantasy Football League Platforms
Description: Helps access various Fantasy Football APIs by handling authentication and
rate-limiting, forming appropriate calls, and returning tidy
dataframes which can be easily connected to other data sources.
Author: Tan Ho [aut, cre]
Maintainer: Tan Ho <tan@tanho.ca>
Diff between ffscrapr versions 1.2.1 dated 2020-12-16 and 1.2.2 dated 2021-02-08
ffscrapr-1.2.1/ffscrapr/tests/testthat/api.myfantasyleague.com |only ffscrapr-1.2.1/ffscrapr/tests/testthat/api.sleeper.app |only ffscrapr-1.2.1/ffscrapr/tests/testthat/www.fleaflicker.com |only ffscrapr-1.2.2/ffscrapr/DESCRIPTION | 6 ffscrapr-1.2.2/ffscrapr/MD5 | 349 +++--- ffscrapr-1.2.2/ffscrapr/NEWS.md | 9 ffscrapr-1.2.2/ffscrapr/R/dp_import.R | 65 + ffscrapr-1.2.2/ffscrapr/README.md | 84 - ffscrapr-1.2.2/ffscrapr/build/vignette.rds |binary ffscrapr-1.2.2/ffscrapr/inst/doc/ffscrapr_caching.html | 228 ---- ffscrapr-1.2.2/ffscrapr/inst/doc/fleaflicker_basics.html | 537 +++------ ffscrapr-1.2.2/ffscrapr/inst/doc/fleaflicker_getendpoint.html | 369 +----- ffscrapr-1.2.2/ffscrapr/inst/doc/mfl_basics.html | 540 +++------ ffscrapr-1.2.2/ffscrapr/inst/doc/mfl_getendpoint.html | 352 +----- ffscrapr-1.2.2/ffscrapr/inst/doc/sleeper_basics.html | 558 +++------- ffscrapr-1.2.2/ffscrapr/inst/doc/sleeper_getendpoint.html | 336 +----- ffscrapr-1.2.2/ffscrapr/inst/httptest |only ffscrapr-1.2.2/ffscrapr/tests/testthat/flea |only ffscrapr-1.2.2/ffscrapr/tests/testthat/gh_dynastyprocess |only ffscrapr-1.2.2/ffscrapr/tests/testthat/helper.R | 4 ffscrapr-1.2.2/ffscrapr/tests/testthat/mfl |only ffscrapr-1.2.2/ffscrapr/tests/testthat/sleeper |only ffscrapr-1.2.2/ffscrapr/tests/testthat/test-dp_import.R | 23 23 files changed, 1085 insertions(+), 2375 deletions(-)
Title: Detrend Images
Description: Detrend fluorescence microscopy image series for
fluorescence fluctuation and correlation spectroscopy ('FCS' and
'FFS') analysis. This package contains functionality published in a
2016 paper <doi:10.1093/bioinformatics/btx434> but it has been
extended since then with the Robin Hood algorithm and thus contains
unpublished work.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>),
Luis Alvarez [ctb, cph] (<https://orcid.org/0000-0003-1316-1906>),
Sergi Padilla-Parra [ctb, ths, cph]
(<https://orcid.org/0000-0002-8010-9481>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between detrendr versions 0.6.11 dated 2021-01-13 and 0.6.12 dated 2021-02-08
DESCRIPTION | 10 ++++----- MD5 | 16 +++++++-------- NEWS.md | 6 +++++ README.md | 2 - inst/doc/batch-mode.html | 44 ++---------------------------------------- inst/doc/linescan-data.html | 40 -------------------------------------- inst/doc/single-images.html | 46 +++----------------------------------------- src/rboxes.h | 15 ++++++++------ tests/testthat/test-myrs.R | 14 +++++++++++++ 9 files changed, 51 insertions(+), 142 deletions(-)
Title: A Lightweight Core of the 'assertive' Package
Description: A minimal set of predicates and assertions used by the assertive
package. This is mainly for use by other package developers who want to
include run-time testing features in their own packages. End-users will
usually want to use assertive directly.
Author: Richard Cotton [aut, cre],
Sunkyu Choi [trl],
Ivanka Skakun [trl],
Gergely Dar<c3><b3>czi [trl],
Anton Antonov [trl],
Hisham Ben Hamidane [trl],
Anja Billing [trl],
Aditya Bhagwat [trl],
Rasmus B<c3><a5><c3><a5>th [trl],
Mine Cetinkaya-Rundel [trl],
Aspasia Chatziefthymiou [trl]
Maintainer: Richard Cotton <richierocks@gmail.com>
Diff between assertive.base versions 0.0-8 dated 2021-01-24 and 0.0-9 dated 2021-02-08
DESCRIPTION | 8 ++++---- MD5 | 9 +++++---- NEWS | 1 + R/conditions.R | 2 +- README.md | 2 +- tests/testthat/test-conditions.R |only 6 files changed, 12 insertions(+), 10 deletions(-)
More information about assertive.base at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-29 1.0.1
2020-03-19 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-22 1.1.13
2020-08-30 1.1.12
2020-04-20 1.1.11
2020-03-20 1.1.10
2020-01-08 1.1.9
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-05-25 2.0.3
2020-02-01 2.0.2
2019-11-10 2.0.1
2019-04-15 2.0
2018-11-20 1.5.0
2018-04-13 1.4.0
2016-12-24 1.3.0
2016-09-03 1.2
2016-08-24 0.5.4
2016-05-12 0.5.3
2016-03-09 0.5.1
2016-02-25 0.4.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-14 0.9.3
2020-05-25 0.9.1
2018-08-09 0.8.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-01-15 1.0.2.0