Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data
processing, see <http://spark.apache.org>. This package supports connecting to
local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end,
and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut],
Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>),
Kevin Ushey [aut],
JJ Allaire [aut],
Samuel Macedo [ctb],
Hossein Falaki [aut],
Lu Wang [aut],
Andy Zhang [aut],
Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>),
Jozef Hajnala [ctb],
Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>),
Wil Davis [ctb],
RStudio [cph],
The Apache Software Foundation [aut, cph]
Maintainer: Yitao Li <yitao@rstudio.com>
Diff between sparklyr versions 1.5.1 dated 2020-12-01 and 1.5.2 dated 2020-12-11
DESCRIPTION | 8 ++-- MD5 | 35 ++++++++++--------- NAMESPACE | 2 + NEWS.md | 15 +++++++- R/dplyr_spark_connection.R | 20 +++++++++-- R/dplyr_spark_table.R | 3 + R/dplyr_sql.R | 18 ++++++---- R/ml_feature_dplyr_transformer.R | 1 R/shell_connection.R | 1 inst/java/sparklyr-1.5-2.10.jar |binary inst/java/sparklyr-1.6-2.10.jar |binary inst/java/sparklyr-2.0-2.11.jar |binary inst/java/sparklyr-2.3-2.11.jar |binary inst/java/sparklyr-2.4-2.11.jar |binary inst/java/sparklyr-2.4-2.12.jar |binary inst/java/sparklyr-3.0-2.12.jar |binary inst/java/sparklyr-master-2.12.jar |binary java/spark-2.0.0/stratifiedsamplingutils.scala |only java/spark-2.0.0/transformers.scala | 45 ++++++++++++++++++++++--- 19 files changed, 110 insertions(+), 38 deletions(-)
Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce APIs like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between progressr versions 0.6.0 dated 2020-05-19 and 0.7.0 dated 2020-12-11
progressr-0.6.0/progressr/tests/with_progress,stdout.R |only progressr-0.7.0/progressr/DESCRIPTION | 15 progressr-0.7.0/progressr/MD5 | 110 +-- progressr-0.7.0/progressr/NAMESPACE | 2 progressr-0.7.0/progressr/NEWS | 79 ++ progressr-0.7.0/progressr/R/global_progression_handler.R |only progressr-0.7.0/progressr/R/handler_debug.R | 11 progressr-0.7.0/progressr/R/handler_pbcol.R |only progressr-0.7.0/progressr/R/handler_progress.R | 16 progressr-0.7.0/progressr/R/handlers.R | 36 - progressr-0.7.0/progressr/R/make_progression_handler.R | 141 ++-- progressr-0.7.0/progressr/R/progress.R | 2 progressr-0.7.0/progressr/R/progress_aggregator.R | 2 progressr-0.7.0/progressr/R/progression.R | 34 - progressr-0.7.0/progressr/R/progressor.R | 84 ++ progressr-0.7.0/progressr/R/progressr-package.R | 3 progressr-0.7.0/progressr/R/utils.R | 11 progressr-0.7.0/progressr/R/with_progress.R | 249 +++---- progressr-0.7.0/progressr/R/without_progress.R | 13 progressr-0.7.0/progressr/R/zzz.R | 17 progressr-0.7.0/progressr/build/vignette.rds |binary progressr-0.7.0/progressr/demo/mandelbrot.R | 2 progressr-0.7.0/progressr/inst/WORDLIST | 21 progressr-0.7.0/progressr/inst/doc/progressr-intro.html | 312 ++++++--- progressr-0.7.0/progressr/inst/doc/progressr-intro.md | 329 +++++++--- progressr-0.7.0/progressr/man/global_progression_handler.Rd |only progressr-0.7.0/progressr/man/handler_ascii_alert.Rd | 2 progressr-0.7.0/progressr/man/handler_debug.Rd | 4 progressr-0.7.0/progressr/man/handler_newline.Rd | 2 progressr-0.7.0/progressr/man/handler_pbcol.Rd |only progressr-0.7.0/progressr/man/handler_pbmcapply.Rd | 2 progressr-0.7.0/progressr/man/handler_progress.Rd | 14 progressr-0.7.0/progressr/man/handler_txtprogressbar.Rd | 2 progressr-0.7.0/progressr/man/handlers.Rd | 20 progressr-0.7.0/progressr/man/make_progression_handler.Rd | 6 progressr-0.7.0/progressr/man/progress.Rd | 4 progressr-0.7.0/progressr/man/progression.Rd | 13 progressr-0.7.0/progressr/man/progressor.Rd | 21 progressr-0.7.0/progressr/man/progressr.Rd | 5 progressr-0.7.0/progressr/man/progressr.options.Rd | 2 progressr-0.7.0/progressr/man/register_global_progression_handler.Rd |only progressr-0.7.0/progressr/man/withProgressShiny.Rd | 2 progressr-0.7.0/progressr/man/with_progress.Rd | 6 progressr-0.7.0/progressr/tests/demo.R | 2 progressr-0.7.0/progressr/tests/exceptions.R | 14 progressr-0.7.0/progressr/tests/globals,relay.R |only progressr-0.7.0/progressr/tests/incl/start,load-only.R | 74 ++ progressr-0.7.0/progressr/tests/progressor.R | 16 progressr-0.7.0/progressr/tests/utils.R | 2 progressr-0.7.0/progressr/tests/with_progress,delay.R | 4 progressr-0.7.0/progressr/tests/with_progress,relay.R |only progressr-0.7.0/progressr/tests/with_progress.R | 34 - progressr-0.7.0/progressr/tests/without_progress.R | 15 progressr-0.7.0/progressr/tests/zzz,doFuture.R | 38 - progressr-0.7.0/progressr/tests/zzz,foreach_do.R | 17 progressr-0.7.0/progressr/tests/zzz,furrr.R | 35 - progressr-0.7.0/progressr/tests/zzz,future.apply.R | 35 - progressr-0.7.0/progressr/tests/zzz,plyr.R | 16 progressr-0.7.0/progressr/tests/zzz,purrr.R | 18 progressr-0.7.0/progressr/vignettes/progressr-intro.md | 329 +++++++--- 60 files changed, 1588 insertions(+), 655 deletions(-)
Title: Downloading, Reading and Analysing PNADC Microdata
Description: Provides tools for downloading, reading, and analysing the PNADC
household survey from Brazilian Institute of Geography and Statistics - IBGE.
The data must be downloaded from the official website <https://www.ibge.gov.br/>.
Further analyses must be made using package 'survey'.
Author: Douglas Braga [aut],
Gabriel Assuncao [aut, cre],
Luna Hidalgo [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>
Diff between PNADcIBGE versions 0.6.0 dated 2020-03-06 and 0.6.1 dated 2020-12-11
DESCRIPTION | 14 +++++++------- MD5 | 26 +++++++++++++------------- R/example.R | 2 +- R/get_pnadc.R | 39 +++++++++++++++++++++------------------ R/pnadc_deflator.R | 15 ++++++++------- R/pnadc_design.R | 10 +++++----- R/pnadc_labeller.R | 24 +++++++++++++++--------- R/read_pnadc.R | 12 ++++++------ man/get_pnadc.Rd | 6 +++--- man/pnadc_deflator.Rd | 10 +++++----- man/pnadc_design.Rd | 6 +++--- man/pnadc_example.Rd | 2 +- man/pnadc_labeller.Rd | 6 +++--- man/read_pnadc.Rd | 6 +++--- 14 files changed, 94 insertions(+), 84 deletions(-)
Title: Recursive Partitioning of Network Models
Description: Network trees recursively partition the data with respect to covariates. Two network tree algorithms are available: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures. After partitioning, correlation-based networks (psychometric networks) can be fit on the partitioned data.
Author: Payton Jones [aut, cre] (<https://orcid.org/0000-0001-6513-8498>),
Thorsten Simon [aut] (<https://orcid.org/0000-0002-3778-7738>),
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Payton Jones <paytonjjones@gmail.com>
Diff between networktree versions 0.2.2 dated 2020-03-18 and 1.0.0 dated 2020-12-11
DESCRIPTION | 24 - MD5 | 45 +-- NAMESPACE | 85 +++--- NEWS.md | 36 +- R/comparetree.R | 190 ++++++------- R/cortrafo.R |only R/datadocumentation.R | 298 ++++++++++----------- R/getnetwork.R | 172 ++++++------ R/hiddenfunctions.R | 486 ++++++++++++++++++++++++++--------- R/imports.R | 19 - R/mvnfit.R | 249 +++++++++--------- R/networktree.R | 622 ++++++++++++++++++++++----------------------- inst/CITATION | 24 - man/comparetree.Rd | 128 ++++----- man/cortrafo.Rd |only man/dass.Rd | 112 ++++---- man/figures |only man/getnetwork.Rd | 84 +++--- man/mvnfit.Rd | 84 +++--- man/networktree.Rd | 190 +++++++------ man/plot.networktree.Rd | 74 +++-- man/predict.networktree.Rd | 45 +-- man/print.networktree.Rd | 42 +-- man/tipi.Rd | 114 ++++---- man/workaholic.Rd | 94 +++--- 25 files changed, 1772 insertions(+), 1445 deletions(-)
Title: Text Analysis with Emphasis on POS Tagging, Readability and
Lexical Diversity
Description: A set of tools to analyze texts. Includes, amongst others, functions for
automatic language detection, hyphenation, several indices of lexical diversity
(e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch,
SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also
provided, to enable frequency analyses (supports Celex and Leipzig Corpora
Collection file formats) and measures like tf-idf. Note: For full functionality
a local installation of TreeTagger is recommended. It is also recommended to
not load this package directly, but by loading one of the available language
support packages from the 'l10n' repository
<https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin
for the R GUI and IDE RKWard, providing graphical dialogs for its basic
features. The respective R package 'rkward' cannot be installed directly from a
repository, as it is a part of RKWard. To make full use of this feature, please
install RKWard from <https://rkward.kde.org> (plugins are detected
automatically). Due to some restrictions on CRAN, the full package sources are
only available from the project homepage. To ask for help, report bugs, request
features, or discuss the development of the package, please subscribe to the
koRpus-dev mailing list (<https://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre],
Earl Brown [ctb],
Alberto Mirisola [ctb],
Alexandre Brulet [ctb],
Laura Hauser [ctb]
Maintainer: Meik Michalke <meik.michalke@hhu.de>
Diff between koRpus versions 0.13-3 dated 2020-10-15 and 0.13-4 dated 2020-12-11
ChangeLog | 17 +++ DESCRIPTION | 62 ++++++------- MD5 | 28 +++--- R/02_method_tokenize.R | 4 R/02_method_treetag.R | 31 ++++-- R/koRpus-internal.R | 148 ++++++++++++++++++-------------- R/koRpus-internal.read.corp.custom.R | 5 - R/koRpus-package.R | 4 build/partial.rdb |binary inst/CITATION | 6 - inst/NEWS.Rd | 23 ++++ inst/doc/koRpus_vignette.html | 104 ++++++++-------------- inst/templates/lang.support-xx.R | 44 +++++---- inst/templates/package_koRpus.lang.xx.R | 4 man/koRpus-package.Rd | 4 15 files changed, 269 insertions(+), 215 deletions(-)
Title: Fundamental Clustering Problems Suite
Description: Many conventional clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>),
Peter Nahrgang [ctr, ctb],
Felix Pape [ctr, ctb],
Vasyl Pihur [ctb],
Guy Brock [ctb],
Susmita Datta [ctb],
Somnath Datta [ctb],
Luis Winckelmann [com],
Alfred Ultsch [dtc, ctb],
Quirin Stier [ctb, rev]
Maintainer: Michael Thrun <m.thrun@gmx.net>
Diff between FCPS versions 1.2.4 dated 2020-09-07 and 1.2.6 dated 2020-12-11
FCPS-1.2.4/FCPS/R/DBscan.R |only FCPS-1.2.4/FCPS/R/Hierarchical_DBSCAN.R |only FCPS-1.2.4/FCPS/man/DBscan.Rd |only FCPS-1.2.4/FCPS/man/Hierarchical_DBSCAN.Rd |only FCPS-1.2.6/FCPS/DESCRIPTION | 11 FCPS-1.2.6/FCPS/MD5 | 178 +-- FCPS-1.2.6/FCPS/NAMESPACE | 15 FCPS-1.2.6/FCPS/R/ADPclustering.R | 146 +- FCPS-1.2.6/FCPS/R/APclustering.R | 138 +- FCPS-1.2.6/FCPS/R/AgglomerativeNestingClustering.R | 144 +- FCPS-1.2.6/FCPS/R/AutomaticProjectionBasedClustering.R | 247 ++-- FCPS-1.2.6/FCPS/R/ClusterAccuracy.R | 220 ++-- FCPS-1.2.6/FCPS/R/ClusterChallenge.R | 382 +++---- FCPS-1.2.6/FCPS/R/ClusterDendrogram.R | 178 +-- FCPS-1.2.6/FCPS/R/ClusterInterDistances.R | 104 - FCPS-1.2.6/FCPS/R/ClusterNoEstimation.R | 2 FCPS-1.2.6/FCPS/R/ClusterPlotMDS.R | 133 +- FCPS-1.2.6/FCPS/R/ClusterabilityMDplot.R | 749 +++++++------- FCPS-1.2.6/FCPS/R/CrossEntropyClustering.R | 6 FCPS-1.2.6/FCPS/R/DBSCAN.R |only FCPS-1.2.6/FCPS/R/DatabionicSwarmClustering.R | 250 ++-- FCPS-1.2.6/FCPS/R/DensityPeakClustering.R | 170 +-- FCPS-1.2.6/FCPS/R/DivisiveAnalysisClustering.R | 133 +- FCPS-1.2.6/FCPS/R/EntropyOfDataField.R | 174 +-- FCPS-1.2.6/FCPS/R/EstimateRadiusByDistance.R | 58 - FCPS-1.2.6/FCPS/R/FannyClustering.R | 10 FCPS-1.2.6/FCPS/R/GenieClustering.R | 126 +- FCPS-1.2.6/FCPS/R/HCLclustering.R | 76 - FCPS-1.2.6/FCPS/R/HierarchicalClusterData.R | 260 ++-- FCPS-1.2.6/FCPS/R/HierarchicalClusterDists.R | 102 - FCPS-1.2.6/FCPS/R/HierarchicalClustering.R | 115 +- FCPS-1.2.6/FCPS/R/HierarchicalDBSCAN.R |only FCPS-1.2.6/FCPS/R/LargeApplicationClustering.R | 96 - FCPS-1.2.6/FCPS/R/MSTclustering.R | 106 - FCPS-1.2.6/FCPS/R/MarkovClustering.R | 167 +-- FCPS-1.2.6/FCPS/R/MinimalEnergyClustering.R | 148 +- FCPS-1.2.6/FCPS/R/MinimaxLinkageClustering.R | 127 +- FCPS-1.2.6/FCPS/R/MoGclustering.R | 128 +- FCPS-1.2.6/FCPS/R/ModelBasedClustering.R | 106 - FCPS-1.2.6/FCPS/R/NeuralGasClustering.R | 76 - FCPS-1.2.6/FCPS/R/OPTICSclustering.R | 124 +- FCPS-1.2.6/FCPS/R/PAMclustering.R | 110 +- FCPS-1.2.6/FCPS/R/PenalizedRegressionBasedClustering.R | 6 FCPS-1.2.6/FCPS/R/ProjectionPursuitClustering.R | 136 +- FCPS-1.2.6/FCPS/R/QTclustering.R | 105 - FCPS-1.2.6/FCPS/R/RobustTrimmedClustering.R | 78 - FCPS-1.2.6/FCPS/R/SOMclustering.R | 150 +- FCPS-1.2.6/FCPS/R/SharedNearestNeighborClustering.R | 166 +-- FCPS-1.2.6/FCPS/R/SpectralClustering.R | 158 +- FCPS-1.2.6/FCPS/R/Spectrum.R | 94 - FCPS-1.2.6/FCPS/R/SubspaceClustering.R | 298 ++--- FCPS-1.2.6/FCPS/R/TandemClustering.R | 298 ++--- FCPS-1.2.6/FCPS/R/internalMDSestimate.R | 6 FCPS-1.2.6/FCPS/R/kmeansClustering.R | 107 +- FCPS-1.2.6/FCPS/R/pdfClustering.R | 88 - FCPS-1.2.6/FCPS/build/partial.rdb |binary FCPS-1.2.6/FCPS/inst/CITATION | 31 FCPS-1.2.6/FCPS/inst/doc/FCPS.R | 6 FCPS-1.2.6/FCPS/inst/doc/FCPS.Rmd | 6 FCPS-1.2.6/FCPS/inst/doc/FCPS.html | 60 + FCPS-1.2.6/FCPS/man/APclustering.Rd | 160 +- FCPS-1.2.6/FCPS/man/AgglomerativeNestingClustering.Rd | 130 +- FCPS-1.2.6/FCPS/man/AutomaticProjectionBasedClustering.Rd | 222 ++-- FCPS-1.2.6/FCPS/man/ClusterAccuracy.Rd | 134 +- FCPS-1.2.6/FCPS/man/ClusterChallenge.Rd | 134 +- FCPS-1.2.6/FCPS/man/ClusterDistances.Rd | 4 FCPS-1.2.6/FCPS/man/ClusterInterDistances.Rd | 2 FCPS-1.2.6/FCPS/man/ClusterNoEstimation.Rd | 2 FCPS-1.2.6/FCPS/man/ClusterPlotMDS.Rd | 8 FCPS-1.2.6/FCPS/man/CrossEntropyClustering.Rd | 2 FCPS-1.2.6/FCPS/man/DBSCAN.Rd |only FCPS-1.2.6/FCPS/man/DatabionicSwarmClustering.Rd | 21 FCPS-1.2.6/FCPS/man/DensityPeakClustering.Rd | 4 FCPS-1.2.6/FCPS/man/DivisiveAnalysisClustering.Rd | 11 FCPS-1.2.6/FCPS/man/EntropyOfDataField.Rd | 2 FCPS-1.2.6/FCPS/man/EstimateRadiusByDistance.Rd | 4 FCPS-1.2.6/FCPS/man/FCPS-package.Rd | 105 + FCPS-1.2.6/FCPS/man/FannyClustering.Rd | 4 FCPS-1.2.6/FCPS/man/HierarchicalClusterData.Rd | 4 FCPS-1.2.6/FCPS/man/HierarchicalClusterDists.Rd | 4 FCPS-1.2.6/FCPS/man/HierarchicalClustering.Rd | 6 FCPS-1.2.6/FCPS/man/HierarchicalDBSCAN.Rd |only FCPS-1.2.6/FCPS/man/LargeApplicationClustering.Rd | 4 FCPS-1.2.6/FCPS/man/MSTclustering.Rd | 4 FCPS-1.2.6/FCPS/man/MarkovClustering.Rd | 116 +- FCPS-1.2.6/FCPS/man/MoGclustering.Rd | 4 FCPS-1.2.6/FCPS/man/PAMclustering.Rd | 4 FCPS-1.2.6/FCPS/man/RobustTrimmedClustering.Rd | 10 FCPS-1.2.6/FCPS/man/SharedNearestNeighborClustering.Rd | 124 +- FCPS-1.2.6/FCPS/man/Spectrum.Rd | 10 FCPS-1.2.6/FCPS/man/SubspaceClustering.Rd | 27 FCPS-1.2.6/FCPS/man/kmeansClustering.Rd | 26 FCPS-1.2.6/FCPS/man/kmeansDist.Rd | 4 FCPS-1.2.6/FCPS/vignettes/FCPS.Rmd | 6 94 files changed, 4326 insertions(+), 4084 deletions(-)
Title: Treatment Effects with Multiple Periods and Groups
Description: The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2020) <https://www.ssrn.com/abstract=3148250>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.
Author: Brantly Callaway [aut, cre],
Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>
Diff between did versions 1.2.3 dated 2020-02-17 and 2.0.0 dated 2020-12-11
did-1.2.3/did/R/did.R |only did-1.2.3/did/man/AGGTE.Rd |only did-1.2.3/did/man/compute.mp.spatt.Rd |only did-1.2.3/did/man/expf.Rd |only did-1.2.3/did/man/figures/README-unnamed-chunk-5-1.png |only did-1.2.3/did/man/figures/README-unnamed-chunk-6-1.png |only did-1.2.3/did/man/figures/README-unnamed-chunk-7-1.png |only did-1.2.3/did/man/g.Rd |only did-1.2.3/did/man/onefun.Rd |only did-1.2.3/did/man/summary.AGGTE.Rd |only did-2.0.0/did/DESCRIPTION | 26 did-2.0.0/did/MD5 | 111 + did-2.0.0/did/NAMESPACE | 25 did-2.0.0/did/NEWS.md | 33 did-2.0.0/did/R/AGGTEobj.R |only did-2.0.0/did/R/DIDparams.R |only did-2.0.0/did/R/MP.R |only did-2.0.0/did/R/MP.TEST.R |only did-2.0.0/did/R/aggte.R |only did-2.0.0/did/R/att_gt.R |only did-2.0.0/did/R/compute.aggte.R |only did-2.0.0/did/R/compute.att_gt.R |only did-2.0.0/did/R/conditional_did_pretest.R |only did-2.0.0/did/R/data.R | 10 did-2.0.0/did/R/ggdid.R |only did-2.0.0/did/R/gplot.R |only did-2.0.0/did/R/imports.R | 11 did-2.0.0/did/R/mboot.R |only did-2.0.0/did/R/mp.spatt.R |only did-2.0.0/did/R/mp.spatt.test.R |only did-2.0.0/did/R/pre_process_did.R |only did-2.0.0/did/R/process_attgt.R |only did-2.0.0/did/R/zzz.R | 4 did-2.0.0/did/README.md | 363 ++++- did-2.0.0/did/build/vignette.rds |binary did-2.0.0/did/inst/CITATION |only did-2.0.0/did/inst/doc/did-basics.R | 128 ++ did-2.0.0/did/inst/doc/did-basics.Rmd | 336 +++++ did-2.0.0/did/inst/doc/did-basics.html | 970 ++++++++++++---- did-2.0.0/did/inst/doc/extensions.R |only did-2.0.0/did/inst/doc/extensions.Rmd |only did-2.0.0/did/inst/doc/extensions.html |only did-2.0.0/did/inst/doc/multi-period-did.R |only did-2.0.0/did/inst/doc/multi-period-did.Rmd |only did-2.0.0/did/inst/doc/multi-period-did.html |only did-2.0.0/did/inst/doc/pre-testing.R |only did-2.0.0/did/inst/doc/pre-testing.Rmd |only did-2.0.0/did/inst/doc/pre-testing.html |only did-2.0.0/did/man/AGGTEobj.Rd |only did-2.0.0/did/man/DIDparams.Rd |only did-2.0.0/did/man/MP.Rd | 27 did-2.0.0/did/man/MP.TEST.Rd | 27 did-2.0.0/did/man/aggte.Rd |only did-2.0.0/did/man/att_gt.Rd |only did-2.0.0/did/man/compute.aggte.Rd | 96 + did-2.0.0/did/man/compute.att_gt.Rd |only did-2.0.0/did/man/conditional_did_pretest.Rd |only did-2.0.0/did/man/did.Rd | 5 did-2.0.0/did/man/figures/README-unnamed-chunk-11-1.png |only did-2.0.0/did/man/figures/README-unnamed-chunk-8-1.png |only did-2.0.0/did/man/figures/logo.png |only did-2.0.0/did/man/getSE.Rd |only did-2.0.0/did/man/get_agg_inf_func.Rd |only did-2.0.0/did/man/ggdid.AGGTEobj.Rd |only did-2.0.0/did/man/ggdid.MP.Rd |only did-2.0.0/did/man/ggdid.Rd | 62 - did-2.0.0/did/man/gplot.Rd | 19 did-2.0.0/did/man/indicator.Rd | 2 did-2.0.0/did/man/mboot.Rd |only did-2.0.0/did/man/mp.spatt.Rd | 122 -- did-2.0.0/did/man/mp.spatt.test.Rd | 86 - did-2.0.0/did/man/mpdta.Rd | 16 did-2.0.0/did/man/pre_process_did.Rd |only did-2.0.0/did/man/print.MP.Rd |only did-2.0.0/did/man/process_attgt.Rd |only did-2.0.0/did/man/splot.Rd |only did-2.0.0/did/man/summary.AGGTEobj.Rd |only did-2.0.0/did/man/summary.MP.Rd | 2 did-2.0.0/did/man/summary.MP.TEST.Rd | 2 did-2.0.0/did/man/test.mboot.Rd |only did-2.0.0/did/man/wif.Rd |only did-2.0.0/did/vignettes/did-basics-fig1.png |only did-2.0.0/did/vignettes/did-basics.Rmd | 336 +++++ did-2.0.0/did/vignettes/extensions.Rmd |only did-2.0.0/did/vignettes/extensions_anticipation.png |only did-2.0.0/did/vignettes/multi-period-did.Rmd |only did-2.0.0/did/vignettes/pre-testing.Rmd |only did-2.0.0/did/vignettes/setup_sims.R |only 88 files changed, 2043 insertions(+), 776 deletions(-)
Title: Data Sets for RuPaul's Drag Race
Description: These are data sets for the hit TV show, RuPaul's Drag Race.
Data right now include episode-level data, contestant-level data, and
episode-contestant-level data. This is a work in progress, and a love letter
of a kind to RuPaul's Drag Race and the performers that have appeared on the show.
This may not be the most productive use of my time, but I have tenure and what
are you going to do about it? I think there is at least some value in this package
if it allows the show's fandom to learn more about the R programming language
around its contents.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>
Diff between dragracer versions 0.1.4 dated 2020-11-19 and 0.1.5 dated 2020-12-11
DESCRIPTION | 6 +++--- MD5 | 11 ++++++----- NEWS.md | 6 ++++++ R/zzz.R |only README.md | 7 ++++++- data/rpdr_contep.rda |binary inst/doc/dragracer-intro.html | 23 ++++++++++++----------- 7 files changed, 33 insertions(+), 20 deletions(-)
Title: Tools for Analyzing Factorial Experiments
Description: Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.
Author: Roland Pfister, Markus Janczyk
Maintainer: Roland Pfister <roland.pfister@psychologie.uni-wuerzburg.de>
Diff between schoRsch versions 1.8 dated 2020-09-23 and 1.9 dated 2020-12-11
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/toclipboard.R | 15 +++++++++++---- man/schoRsch.Rd | 1 + man/toclipboard.Rd | 4 +++- 5 files changed, 23 insertions(+), 13 deletions(-)
Title: Multiple Mediation Analysis
Description: Used for general multiple mediation analysis.
The analysis method is described in Yu et al. (2014) <doi:10.4172/2155-6180.1000189> "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival", published on Journal of Biometrics & Biostatistics, 5(2):189; and Yu et al.(2017) <DOI:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors", published on Spatial and Spatio-temporal Epidemiology, 21, 13-23.
Author: Qingzhao Yu and Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>
Diff between mma versions 10.3-2 dated 2020-05-24 and 10.5-0 dated 2020-12-11
mma-10.3-2/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-5.png |only mma-10.3-2/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-6.png |only mma-10.3-2/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-7.png |only mma-10.5-0/mma/DESCRIPTION | 8 mma-10.5-0/mma/MD5 | 47 mma-10.5-0/mma/NAMESPACE | 1 mma-10.5-0/mma/R/mma.r | 3812 +++++++--- mma-10.5-0/mma/inst/doc/MMAvignette.html | 196 mma-10.5-0/mma/man/boot.med.Rd | 4 mma-10.5-0/mma/man/boot.mod.Rd | 10 mma-10.5-0/mma/man/med.Rd | 5 mma-10.5-0/mma/man/mma-package.Rd | 4 mma-10.5-0/mma/man/mma.Rd | 4 mma-10.5-0/mma/man/test.moderation.Rd | 6 mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-10-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-10-3.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-13-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-16-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-17-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-17-2.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-19-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-22-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-1.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-2.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-3.png |binary mma-10.5-0/mma/vignettes/MMAvignette_files/figure-html/unnamed-chunk-23-4.png |binary 26 files changed, 2996 insertions(+), 1101 deletions(-)
Title: Access and Search MedRxiv and BioRxiv Preprint Data
Description: An increasingly important source of health-related bibliographic
content are preprints - preliminary versions of research articles that have
yet to undergo peer review. The two preprint repositories most relevant to
health-related sciences are medRxiv <https://www.medrxiv.org/> and
bioRxiv <https://www.biorxiv.org/>, both of which are operated by the Cold
Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the
'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>,
allowing users to easily download medRxiv and bioRxiv preprint metadata
(e.g. title, abstract, publication date, author list, etc) into R.
'medrxivr' also provides functions to search the downloaded preprint records
using regular expressions and Boolean logic, as well as helper functions
that allow users to export their search results to a .BIB file for easy
import to a reference manager and to download the full-text PDFs of
preprints matching their search criteria.
Author: Luke McGuinness [aut, cre] (<https://orcid.org/0000-0001-8730-9761>),
Lena Schmidt [aut] (<https://orcid.org/0000-0003-0709-8226>),
Tuija Sonkkila [rev],
Najko Jahn [rev]
Maintainer: Luke McGuinness <luke.mcguinness@bristol.ac.uk>
Diff between medrxivr versions 0.0.3 dated 2020-09-28 and 0.0.4 dated 2020-12-11
DESCRIPTION | 8 - MD5 | 20 +-- NEWS.md | 7 + R/mx_api.R | 6 README.md | 20 ++- inst/CITATION | 17 +- inst/WORDLIST | 42 +++--- inst/doc/medrxivr.html | 269 ++++++++++++++++++++++++++++++++++++++++++- inst/paper.md | 6 tests/testthat/test-api.R | 2 tests/testthat/test-search.R | 4 11 files changed, 351 insertions(+), 50 deletions(-)
Title: Projection Based Clustering
Description: A clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data" <DOI:10.1007/s00357-020-09373-2>. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package, and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.
Author: Michael Thrun [aut, cre, cph],
Florian Lerch [aut],
Felix Pape [aut],
Tim Schreier [aut],
Luis Winckelmann [aut],
Kristian Nybo [cph],
Jarkko Venna [cph]
Maintainer: Michael Thrun <m.thrun@gmx.net>
Diff between ProjectionBasedClustering versions 1.1.5 dated 2020-10-25 and 1.1.6 dated 2020-12-11
DESCRIPTION | 10 - MD5 | 16 +- NAMESPACE | 1 R/Projection2Bestmatches.R |only R/ProjectionBasedClustering.R | 36 +++-- R/RcppExports.R | 46 +++---- man/PolarSwarm.Rd | 152 +++++++++++------------ man/Projection2Bestmatches.Rd |only man/ProjectionBasedClustering.Rd | 169 +++++++++++++------------- man/UniformManifoldApproximationProjection.Rd | 2 10 files changed, 225 insertions(+), 207 deletions(-)
More information about ProjectionBasedClustering at CRAN
Permanent link
Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Will try to fit decision trees that try to "predict" values for each column based on the values of each other column.
Along the way, each time a split is evaluated, it will take the observations that fall into each branch as a homogeneous
cluster in which it will search for outliers in the 1-d distribution of the column being predicted. Outliers are determined
according to confidence intervals in this 1-d distribution, and need to have a large gap with respect to the next observation
in sorted order to be flagged as outliers. Since outliers are searched for in a decision tree branch, it will know the conditions
that make it a rare observation compared to others that meet the same conditions, and the conditions will always be correlated
with the target variable (as it's being predicted from them). Full procedure is described in Cortes (2020) <arXiv:2001.00636>.
Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between outliertree versions 1.3.0 dated 2020-06-10 and 1.3.1 dated 2020-12-11
DESCRIPTION | 10 +++++----- MD5 | 10 +++++----- R/helpers.R | 25 ++++++++----------------- R/outliertree.R | 2 ++ src/Rwrapper.cpp | 13 ++++++++++--- src/outlier_tree.h | 6 +++--- 6 files changed, 33 insertions(+), 33 deletions(-)
Title: 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' provides many desirable
features. This package bundles these header files for easy use by R packages via a simple
'LinkingTo:' inclusion.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppSpdlog versions 0.0.3 dated 2020-10-23 and 0.0.4 dated 2020-12-11
RcppSpdlog-0.0.3/RcppSpdlog/inst/include/spdlog/cfg/log_levels.h |only RcppSpdlog-0.0.4/RcppSpdlog/ChangeLog | 10 RcppSpdlog-0.0.4/RcppSpdlog/DESCRIPTION | 8 RcppSpdlog-0.0.4/RcppSpdlog/MD5 | 51 RcppSpdlog-0.0.4/RcppSpdlog/build/partial.rdb |binary RcppSpdlog-0.0.4/RcppSpdlog/inst/NEWS.Rd | 7 RcppSpdlog-0.0.4/RcppSpdlog/inst/doc/introduction.html | 277 - RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/cfg/helpers-inl.h | 1 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/details/mpmc_blocking_q.h | 6 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/details/thread_pool-inl.h | 5 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/details/thread_pool.h | 1 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/chrono.h | 79 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/color.h | 57 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/compile.h | 82 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/core.h | 448 +- RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/format-inl.h | 1896 ++++++++-- RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/format.h | 1157 +++--- RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/locale.h | 44 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/os.h | 104 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/ostream.h | 28 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/printf.h | 4 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/fmt/bundled/ranges.h | 22 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/logger.h | 44 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/pattern_formatter.h | 4 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/sinks/dup_filter_sink.h | 2 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/spdlog.h | 34 RcppSpdlog-0.0.4/RcppSpdlog/inst/include/spdlog/version.h | 2 27 files changed, 3032 insertions(+), 1341 deletions(-)
Title: Computational Prediction of Proteins Encoded by Circadian Genes
Description: A computational model for predicting proteins encoded by circadian genes. The support vector machine has been employed with Laplace kernel for prediction of circadian proteins, where compositional, transitional and physico-chemical features were utilized as numeric features. User can predict for the test dataset using the proposed computational model. Besides, the user can also build their own training model using their training dataset, followed by prediction for the test set.
Author: Prabina Kumar Meher <meherprabin@yahoo.com>
Maintainer: Prabina Kumar Meher <meherprabin@yahoo.com>
Diff between PredCRG versions 1.0.1 dated 2020-06-28 and 1.0.2 dated 2020-12-11
DESCRIPTION | 12 ++++++------ MD5 | 8 ++++---- NAMESPACE | 1 + R/PredCRG_training.R | 17 ++++++++++++++++- man/PredCRG_training.Rd | 26 ++++++++++++++++++++------ 5 files changed, 47 insertions(+), 17 deletions(-)
Title: Estimating the Accuracy and the Status of Point Occurrence
Records
Description: Automated assessment of accuracy and geographical status of georeferenced biological data. The methods rely on reference regions, namely checklists and range maps. Includes functions to obtain data from the Global Biodiversity Information Facility <https://www.gbif.org/> and from the Global Inventory of Floras and Traits <https://gift.uni-goettingen.de/home>. Alternatively, the user can input their own data. Furthermore, provides easy visualisation of the data and the results through the plotting functions. Especially suited for large datasets. The reference for the methodology is: Arlé et al. (under review).
Author: Eduardo Arlé [aut, cre],
Alexander Zizka [ctb]
Maintainer: Eduardo Arlé <eduardo.arle@idiv.de>
Diff between bRacatus versions 1.0.0 dated 2020-10-13 and 1.0.1 dated 2020-12-11
bRacatus-1.0.0/bRacatus/R/occID.R |only bRacatus-1.0.0/bRacatus/R/rasteriseChecklists.R |only bRacatus-1.0.0/bRacatus/R/valueID.R |only bRacatus-1.0.0/bRacatus/man/occID.Rd |only bRacatus-1.0.0/bRacatus/man/rasteriseChecklists.Rd |only bRacatus-1.0.0/bRacatus/man/valueID.Rd |only bRacatus-1.0.0/bRacatus/tests/testthat.R |only bRacatus-1.0.1/bRacatus/DESCRIPTION | 8 bRacatus-1.0.1/bRacatus/MD5 | 40 - bRacatus-1.0.1/bRacatus/NAMESPACE | 5 bRacatus-1.0.1/bRacatus/NEWS.md | 9 bRacatus-1.0.1/bRacatus/R/getOcc.R | 24 - bRacatus-1.0.1/bRacatus/R/giftRegions.R | 60 +- bRacatus-1.0.1/bRacatus/R/internal_functions.R | 72 ++- bRacatus-1.0.1/bRacatus/R/plotAccuracy.R | 3 bRacatus-1.0.1/bRacatus/R/plotBiogeoStatus.R | 3 bRacatus-1.0.1/bRacatus/R/plotOcc.R | 5 bRacatus-1.0.1/bRacatus/R/signalCalculation.R | 135 +++-- bRacatus-1.0.1/bRacatus/inst/WORDLIST | 4 bRacatus-1.0.1/bRacatus/inst/doc/Using_bRacatus.R | 55 -- bRacatus-1.0.1/bRacatus/inst/doc/Using_bRacatus.Rmd | 98 ---- bRacatus-1.0.1/bRacatus/inst/doc/Using_bRacatus.html | 228 +++------- bRacatus-1.0.1/bRacatus/man/signalCalculation.Rd | 17 bRacatus-1.0.1/bRacatus/tests/testthat/test-signalCalculation.R |only bRacatus-1.0.1/bRacatus/vignettes/Using_bRacatus.Rmd | 98 ---- 25 files changed, 347 insertions(+), 517 deletions(-)
Title: Computes Hydrograph Separation
Description: Computes hydrograph separation using the conceptual automated process from Pelletier and Andreassian (2019) <doi:10.5194/hess-24-1171-2020>. Contains scalar and vectorized functions to compute correlation criterion to calibrate the baseflow separation model.
Author: Antoine Pelletier [cre, aut] (<https://orcid.org/0000-0002-1286-9147>),
Vazken Andréassian [ths, rev] (<https://orcid.org/0000-0001-7124-9303>),
Olivier Delaigue [rev, ctb, dtc]
(<https://orcid.org/0000-0002-7668-8468>)
Maintainer: Antoine Pelletier <antoine.pelletier@inrae.fr>
Diff between baseflow versions 0.12.0 dated 2020-03-16 and 0.12.1 dated 2020-12-11
DESCRIPTION | 16 +- MD5 | 8 - src/rustlib/Cargo.lock | 294 +++++++++++++++++++++++++------------------------ src/rustlib/Cargo.toml | 4 tools/staticlib.R | 5 5 files changed, 170 insertions(+), 157 deletions(-)
Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm).
Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>).
For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.
Author: Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Sara Taskinen, David I. Warton, Bert van der Veen
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>
Diff between gllvm versions 1.2.2 dated 2020-05-11 and 1.2.3 dated 2020-12-11
DESCRIPTION | 15 MD5 | 90 ++-- NAMESPACE | 4 R/TMBtrait.R | 421 ++++++++++++---------- R/anova.gllvm.R | 3 R/coefplot.gllvm.R | 16 R/confint.gllvm.R | 3 R/getPredictErr.gllvm.R | 3 R/getResidualCor.gllvm.R | 10 R/getResidualCov.gllvm.R | 3 R/gllvm.R | 158 ++++++-- R/gllvm.TMB.R | 221 ++++++----- R/gllvm.auxiliary.R | 51 ++ R/logLik.gllvm.R | 3 R/ordiplot.gllvm.R | 24 + R/plot.gllvm.R | 2 R/predict.gllvm.R | 4 R/randomCoefplot.R | 2 R/residuals.gllvm.R | 5 R/se.gllvm.R |only R/summary.gllvm.R | 3 build/vignette.rds |binary inst/doc/vignette1.R | 125 +++--- inst/doc/vignette1.Rmd | 82 ++-- inst/doc/vignette1.html | 762 ++++++++++++++++++++++++++++------------- inst/doc/vignette2.R | 48 +- inst/doc/vignette2.html | 556 +++++++++++++++++++++++------ man/anova.gllvm.Rd | 3 man/coefplot.gllvm.Rd | 25 + man/confint.gllvm.Rd | 3 man/getPredictErr.gllvm.Rd | 3 man/getResidualCor.gllvm.Rd | 10 man/getResidualCov.gllvm.Rd | 3 man/gllvm.Rd | 131 ++++--- man/logLik.gllvm.Rd | 3 man/ordiplot.gllvm.Rd | 38 +- man/plot.gllvm.Rd | 21 - man/predict.gllvm.Rd | 5 man/predictLVs.gllvm.Rd | 8 man/randomCoefplot.gllvm.Rd | 15 man/residuals.gllvm.Rd | 3 man/se.gllvm.Rd |only man/simulate.gllvm.Rd | 3 man/summary.gllvm.Rd | 3 src/gllvm.cpp | 34 + tests/testthat/test-fitgllvm.R | 48 +- vignettes/vignette1.Rmd | 82 ++-- 47 files changed, 2021 insertions(+), 1034 deletions(-)
Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>
Diff between secr versions 4.3.1 dated 2020-09-01 and 4.3.3 dated 2020-12-11
secr-4.3.1/secr/inst/doc/secr-datainput.html |only secr-4.3.1/secr/inst/doc/secr-overview.html |only secr-4.3.3/secr/DESCRIPTION | 8 - secr-4.3.3/secr/MD5 | 100 ++++++++++---------- secr-4.3.3/secr/NEWS | 28 +++++ secr-4.3.3/secr/R/D.designdata.R | 5 - secr-4.3.3/secr/R/Dsurface.R | 56 ++++++++++- secr-4.3.3/secr/R/as.data.frame.R | 1 secr-4.3.3/secr/R/fastsecrloglik.R | 7 + secr-4.3.3/secr/R/generalsecrloglik.R | 16 ++- secr-4.3.3/secr/R/homerange.R | 6 - secr-4.3.3/secr/R/ip.secr.R | 2 secr-4.3.3/secr/R/join2.R | 12 ++ secr-4.3.3/secr/R/loglikhelperfn.R | 1 secr-4.3.3/secr/R/methods.R | 117 +++++++++++++++-------- secr-4.3.3/secr/R/plot.capthist.r | 5 - secr-4.3.3/secr/R/plot.mask.r | 12 +- secr-4.3.3/secr/R/reduce.R | 6 - secr-4.3.3/secr/R/regionN.R | 21 ++-- secr-4.3.3/secr/R/secr.fit.R | 1 secr-4.3.3/secr/R/sim.capthist.R | 14 ++ secr-4.3.3/secr/R/sim.popn.R | 135 +++++++++++++++++---------- secr-4.3.3/secr/R/sim.secr.R | 9 + secr-4.3.3/secr/R/split.capthist.R | 3 secr-4.3.3/secr/R/summary.capthist.R | 3 secr-4.3.3/secr/R/trap.builder.R | 6 - secr-4.3.3/secr/R/utility.R | 29 +++-- secr-4.3.3/secr/R/verify.R | 6 - secr-4.3.3/secr/build/vignette.rds |binary secr-4.3.3/secr/inst/doc/secr-datainput.Rmd | 2 secr-4.3.3/secr/inst/doc/secr-datainput.pdf |only secr-4.3.3/secr/inst/doc/secr-overview.Rmd | 4 secr-4.3.3/secr/inst/doc/secr-overview.pdf |only secr-4.3.3/secr/man/DENSITY.Rd | 2 secr-4.3.3/secr/man/contour.Rd | 2 secr-4.3.3/secr/man/derivedMS.Rd | 2 secr-4.3.3/secr/man/homerange.Rd | 6 - secr-4.3.3/secr/man/join.Rd | 2 secr-4.3.3/secr/man/make.capthist.Rd | 2 secr-4.3.3/secr/man/make.traps.Rd | 2 secr-4.3.3/secr/man/mask.check.Rd | 2 secr-4.3.3/secr/man/ovenbird.Rd | 9 + secr-4.3.3/secr/man/par.secr.fit.Rd | 2 secr-4.3.3/secr/man/plot.capthist.Rd | 2 secr-4.3.3/secr/man/read.traps.Rd | 20 ++-- secr-4.3.3/secr/man/secr-package.Rd | 6 - secr-4.3.3/secr/man/secrdemo.Rd | 2 secr-4.3.3/secr/man/sharefactorlevels.Rd | 2 secr-4.3.3/secr/man/speed.Rd | 14 +- secr-4.3.3/secr/man/traps.Rd | 2 secr-4.3.3/secr/man/turnover.Rd | 2 secr-4.3.3/secr/vignettes/secr-datainput.Rmd | 2 secr-4.3.3/secr/vignettes/secr-overview.Rmd | 4 53 files changed, 452 insertions(+), 250 deletions(-)
Title: The Self-Consistent, Competing Risks (SC-CR) Algorithms
Description: The SC-SR Algorithm is used to calculate fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring and possible making of the failure cause in a competing risks environment. In the version 2.0 the function creating the probability matrix from double-censored data is added.
Author: Peter Adamic, Alicja Wolny-Dominiak
Maintainer: Alicja Wolny-Dominiak<woali@ue.katowice.pl>
Diff between sccr versions 2.0 dated 2019-11-03 and 2.1 dated 2020-12-11
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- man/censoredMatrix.Rd | 4 ++-- man/inputM.Rd | 2 +- 4 files changed, 11 insertions(+), 11 deletions(-)
Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package.
Textual statistics for characterizing and comparing textual data. Includes
functions for measuring term and document frequency, the co-occurrence of
words, similarity and distance between features and documents, feature entropy,
keyword occurrence, readability, and lexical diversity. These functions
extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph]
(<https://orcid.org/0000-0002-0797-564X>),
Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>),
Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>),
Jiong Wei Lua [aut],
Jouni Kuha [aut] (<https://orcid.org/0000-0002-1156-8465>),
European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda.textstats versions 0.90 dated 2020-12-07 and 0.91 dated 2020-12-11
quanteda.textstats-0.90/quanteda.textstats/tests/testthat/test-cache.R |only quanteda.textstats-0.91/quanteda.textstats/DESCRIPTION | 6 quanteda.textstats-0.91/quanteda.textstats/MD5 | 19 +- quanteda.textstats-0.91/quanteda.textstats/NEWS.md | 5 quanteda.textstats-0.91/quanteda.textstats/R/textstat_lexdiv.R | 4 quanteda.textstats-0.91/quanteda.textstats/R/textstat_summary.R | 35 +---- quanteda.textstats-0.91/quanteda.textstats/R/utils.R | 8 - quanteda.textstats-0.91/quanteda.textstats/man/textstat_lexdiv.Rd | 4 quanteda.textstats-0.91/quanteda.textstats/man/textstat_summary.Rd | 10 - quanteda.textstats-0.91/quanteda.textstats/tests/testthat/test-textstat_keyness.R | 4 quanteda.textstats-0.91/quanteda.textstats/tests/testthat/test-textstat_summary.R | 68 ---------- 11 files changed, 44 insertions(+), 119 deletions(-)
More information about quanteda.textstats at CRAN
Permanent link
Title: Interface to the 'Metabolights' RESTful API
Description: Access to the 'Metabolights' RESTful API <https://www.ebi.ac.uk/metabolights/index>. Retrieve elements of publically available 'Metabolights' studies.
Author: Tom Wilson [aut, cre] (<https://orcid.org/0000-0003-3112-4682>)
Maintainer: Tom Wilson <tpw2@aber.ac.uk>
Diff between metabolighteR versions 0.1.0 dated 2019-12-06 and 0.1.1 dated 2020-12-11
metabolighteR-0.1.0/metabolighteR/README.md |only metabolighteR-0.1.0/metabolighteR/tests/testthat/test-tokenless.R |only metabolighteR-0.1.1/metabolighteR/DESCRIPTION | 21 +-- metabolighteR-0.1.1/metabolighteR/MD5 | 63 ++++++---- metabolighteR-0.1.1/metabolighteR/NAMESPACE | 4 metabolighteR-0.1.1/metabolighteR/NEWS.md | 6 metabolighteR-0.1.1/metabolighteR/R/download_study_file.R |only metabolighteR-0.1.1/metabolighteR/R/get_private_studies.R | 13 +- metabolighteR-0.1.1/metabolighteR/R/get_study_contacts.R | 6 metabolighteR-0.1.1/metabolighteR/R/get_study_desc.R | 5 metabolighteR-0.1.1/metabolighteR/R/get_study_descriptors.R | 6 metabolighteR-0.1.1/metabolighteR/R/get_study_factors.R | 6 metabolighteR-0.1.1/metabolighteR/R/get_study_files.R | 5 metabolighteR-0.1.1/metabolighteR/R/get_study_meta.R | 5 metabolighteR-0.1.1/metabolighteR/R/get_study_org.R |only metabolighteR-0.1.1/metabolighteR/R/get_study_protocols.R | 5 metabolighteR-0.1.1/metabolighteR/R/get_study_pubs.R | 7 - metabolighteR-0.1.1/metabolighteR/R/get_study_samples.R |only metabolighteR-0.1.1/metabolighteR/R/get_study_tech.R |only metabolighteR-0.1.1/metabolighteR/R/get_study_title.R | 6 metabolighteR-0.1.1/metabolighteR/build |only metabolighteR-0.1.1/metabolighteR/inst/dev-test.R |only metabolighteR-0.1.1/metabolighteR/inst/doc |only metabolighteR-0.1.1/metabolighteR/inst/metabolighteR-manual.pdf |binary metabolighteR-0.1.1/metabolighteR/man/download_study_file.Rd |only metabolighteR-0.1.1/metabolighteR/man/get_study_contacts.Rd | 3 metabolighteR-0.1.1/metabolighteR/man/get_study_desc.Rd | 2 metabolighteR-0.1.1/metabolighteR/man/get_study_descriptors.Rd | 2 metabolighteR-0.1.1/metabolighteR/man/get_study_factors.Rd | 2 metabolighteR-0.1.1/metabolighteR/man/get_study_files.Rd | 2 metabolighteR-0.1.1/metabolighteR/man/get_study_meta.Rd | 2 metabolighteR-0.1.1/metabolighteR/man/get_study_org.Rd |only metabolighteR-0.1.1/metabolighteR/man/get_study_protocols.Rd | 2 metabolighteR-0.1.1/metabolighteR/man/get_study_pubs.Rd | 4 metabolighteR-0.1.1/metabolighteR/man/get_study_samples.Rd |only metabolighteR-0.1.1/metabolighteR/man/get_study_tech.Rd |only metabolighteR-0.1.1/metabolighteR/man/get_study_title.Rd | 2 metabolighteR-0.1.1/metabolighteR/tests/testthat/test-methods.R |only metabolighteR-0.1.1/metabolighteR/vignettes |only 39 files changed, 82 insertions(+), 97 deletions(-)
Title: Conventional and Fuzzy Data Envelopment Analysis
Description: Set of functions for Data Envelopment Analysis. It runs both classic and fuzzy DEA models.See: Banker, R.; Charnes, A.; Cooper, W.W. (1984). <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). <doi:10.1287/mnsc.27.6.668>.
Author: Vicente Coll-Serrano, Vicente Bolos, Rafael Benitez Suarez <rabesua@uv.es>
Maintainer: Vicente Bolos <vicente.bolos@uv.es>
Diff between deaR versions 1.2.1 dated 2020-02-21 and 1.2.2 dated 2020-12-11
DESCRIPTION | 8 MD5 | 16 - NAMESPACE | 1 R/model_additive.R | 2 R/model_basic.R | 17 + R/model_sbmsupereff.R | 7 R/plot.dea.R | 769 +++++++++++++++++++++++++------------------------- R/read_data.R | 11 man/model_additive.Rd | 2 9 files changed, 448 insertions(+), 385 deletions(-)
Title: Scaling Models and Classifiers for Textual Data
Description: Scaling models and classifiers for sparse matrix objects representing
textual data in the form of a document-feature matrix. Includes original
implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>,
'Wordscores' model, Perry and 'Benoit's' (2017) <arXiv:1710.08963> class affinity scaling model,
and 'Slapin' and 'Proksch's' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish'
model, as well as methods for correspondence analysis, latent semantic analysis,
and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph]
(<https://orcid.org/0000-0002-0797-564X>),
Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>),
Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>),
Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>),
Patrick O. Perry [aut] (<https://orcid.org/0000-0001-7460-127X>),
Benjamin Lauderdale [aut] (<https://orcid.org/0000-0003-3090-0969>),
Johannes Gruber [aut] (<https://orcid.org/0000-0001-9177-1772>),
William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>),
Vikas Sindhwani [cph] (authored svmlin C++ source code),
European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda.textmodels versions 0.9.1 dated 2020-03-13 and 0.9.2 dated 2020-12-11
quanteda.textmodels-0.9.1/quanteda.textmodels/data/datalist |only quanteda.textmodels-0.9.2/quanteda.textmodels/DESCRIPTION | 28 - quanteda.textmodels-0.9.2/quanteda.textmodels/MD5 | 88 +-- quanteda.textmodels-0.9.2/quanteda.textmodels/NAMESPACE | 10 quanteda.textmodels-0.9.2/quanteda.textmodels/NEWS.md | 5 quanteda.textmodels-0.9.2/quanteda.textmodels/R/RcppExports.R | 4 quanteda.textmodels-0.9.2/quanteda.textmodels/R/data-documentation.R | 21 quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_affinity.R | 4 quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_ca.R | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_lr.R |only quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_lsa.R | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_nb.R | 16 quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_svm.R | 38 - quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_svmlin.R | 230 ++++++-- quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_wordfish.R | 16 quanteda.textmodels-0.9.2/quanteda.textmodels/R/textmodel_wordscores.R | 22 quanteda.textmodels-0.9.2/quanteda.textmodels/README.md | 11 quanteda.textmodels-0.9.2/quanteda.textmodels/build/partial.rdb |only quanteda.textmodels-0.9.2/quanteda.textmodels/build/vignette.rds |binary quanteda.textmodels-0.9.2/quanteda.textmodels/inst/WORDLIST | 8 quanteda.textmodels-0.9.2/quanteda.textmodels/inst/doc/textmodel_performance.html | 279 ++++++---- quanteda.textmodels-0.9.2/quanteda.textmodels/man/as.matrix.csr.dfm.Rd | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/man/data_corpus_EPcoaldebate.Rd | 14 quanteda.textmodels-0.9.2/quanteda.textmodels/man/data_corpus_dailnoconf1991.Rd | 6 quanteda.textmodels-0.9.2/quanteda.textmodels/man/data_corpus_irishbudget2010.Rd | 9 quanteda.textmodels-0.9.2/quanteda.textmodels/man/data_corpus_moviereviews.Rd | 10 quanteda.textmodels-0.9.2/quanteda.textmodels/man/data_dfm_lbgexample.Rd | 4 quanteda.textmodels-0.9.2/quanteda.textmodels/man/predict.textmodel_lr.Rd |only quanteda.textmodels-0.9.2/quanteda.textmodels/man/predict.textmodel_nb.Rd | 10 quanteda.textmodels-0.9.2/quanteda.textmodels/man/predict.textmodel_svm.Rd | 5 quanteda.textmodels-0.9.2/quanteda.textmodels/man/predict.textmodel_svmlin.Rd | 8 quanteda.textmodels-0.9.2/quanteda.textmodels/man/summary.textmodel_lr.Rd |only quanteda.textmodels-0.9.2/quanteda.textmodels/man/summary.textmodel_svm.Rd | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/man/summary.textmodel_svmlin.Rd | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_affinity.Rd | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_ca.Rd | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_lr.Rd |only quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_svm.Rd | 8 quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_svmlin.Rd | 65 +- quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_wordfish.Rd | 12 quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodel_wordscores.Rd | 13 quanteda.textmodels-0.9.2/quanteda.textmodels/man/textmodels.Rd | 6 quanteda.textmodels-0.9.2/quanteda.textmodels/src/RcppExports.cpp | 23 quanteda.textmodels-0.9.2/quanteda.textmodels/src/ssl.cpp |only quanteda.textmodels-0.9.2/quanteda.textmodels/src/ssl.h |only quanteda.textmodels-0.9.2/quanteda.textmodels/src/svmlin.cpp |only quanteda.textmodels-0.9.2/quanteda.textmodels/tests/testthat/test-textmodel_ca.R | 2 quanteda.textmodels-0.9.2/quanteda.textmodels/tests/testthat/test-textmodel_lr.R |only quanteda.textmodels-0.9.2/quanteda.textmodels/tests/testthat/test-textmodel_svm.R | 16 quanteda.textmodels-0.9.2/quanteda.textmodels/tests/testthat/test-textplot.R | 109 --- 50 files changed, 660 insertions(+), 454 deletions(-)
More information about quanteda.textmodels at CRAN
Permanent link
Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>
Diff between missMDA versions 1.17 dated 2020-05-19 and 1.18 dated 2020-12-11
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- R/imputeMCA.R | 7 ++++--- build/vignette.rds |binary 4 files changed, 12 insertions(+), 11 deletions(-)
Title: Perform Factorial Analysis from 'FactoMineR' with a Shiny
Application
Description: Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.
Author: Pauline Vaissie, Astrid Monge, Francois Husson
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>
Diff between Factoshiny versions 2.2 dated 2020-02-05 and 2.3 dated 2020-12-11
DESCRIPTION | 10 +- MD5 | 56 +++++------ R/CAshiny.R | 5 - R/FAMDshiny.R | 4 build/vignette.rds |binary inst/FactoApp/server.R | 4 inst/FactoCAapp2/global.R | 3 inst/FactoCAapp2/server.R | 9 + inst/FactoCAapp2/ui.R | 9 + inst/FactoFAMDapp2/server.R | 2 inst/FactoHCPCapp2/global.R | 8 - inst/FactoHCPCapp2/server.R | 160 ++++++++++++++++++--------------- inst/FactoHCPCapp2/ui.R | 15 ++- inst/FactoMCAapp2/global.R | 4 inst/FactoMCAapp2/server.R | 12 +- inst/FactoMCAapp2/ui.R | 6 - inst/FactoMFAapp/server.R | 4 inst/FactoMFAapp/ui.R | 2 inst/doc/Factoshiny.R | 1 inst/doc/Factoshiny.pdf |binary inst/po/fr/LC_MESSAGES/R-Factoshiny.mo |binary man/CAshiny.Rd | 2 man/FAMDshiny.Rd | 2 man/HCPCshiny.Rd | 2 man/MCAshiny.Rd | 2 man/MFAshiny.Rd | 2 man/PCAshiny.Rd | 2 po/R-Factoshiny.pot | 3 po/R-Fr.po | 59 ++++++++---- 29 files changed, 222 insertions(+), 166 deletions(-)
Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@agrocampus-ouest.fr>
Diff between FactoMineR versions 2.3 dated 2020-02-29 and 2.4 dated 2020-12-11
DESCRIPTION | 12 MD5 | 48 +-- NAMESPACE | 3 R/CA.R | 65 +--- R/MCA.R | 631 +++++++++++++++++++++++----------------------- R/PCA.R | 4 R/catdes.r | 2 R/coeffRV.R | 45 +-- R/condes.r | 2 R/descfreq.R | 2 R/plot.DMFA.R | 2 R/plot.MCA.R | 19 - R/plot.MFA.R | 2 R/plot.PCA.R | 11 R/plot.catdes.R | 178 ++++++++++-- R/print.CA.R | 2 R/write.infile.R | 3 build/vignette.rds |binary data/children.rda |binary data/poison.rda |binary data/poison.text.rda |binary man/FactoMineR-package.Rd | 2 man/MCA.Rd | 2 man/plot.FAMD.Rd | 2 man/plot.catdes.Rd | 12 25 files changed, 571 insertions(+), 478 deletions(-)
Title: Automatic Description of Factorial Analysis
Description: Brings a set of tools to help and automatically realise the description of principal component analyses (from 'FactoMineR' functions). Detection of existing outliers, identification of the informative components, graphical views and dimensions description are performed threw dedicated functions. The Investigate() function performs all these functions in one, and returns the result as a report document (Word, PDF or HTML).
Author: Simon Thuleau, Francois Husson
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>
Diff between FactoInvestigate versions 1.6 dated 2020-02-04 and 1.7 dated 2020-12-11
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/outliers.R | 4 ++-- build/partial.rdb |binary 4 files changed, 9 insertions(+), 9 deletions(-)
More information about FactoInvestigate at CRAN
Permanent link
Title: POSIX System Utilities
Description: Bindings to system utilities found in most Unix systems such as
POSIX functions which are not part of the Standard C Library.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between unix versions 1.5.1 dated 2020-01-31 and 1.5.2 dated 2020-12-11
DESCRIPTION | 10 +++++----- MD5 | 24 ++++++++++++------------ NEWS | 3 +++ R/chroot.R | 2 +- R/fork.R | 1 - R/process.R | 8 ++++---- R/rlimit.R | 4 ++-- R/userinfo.R | 4 ++-- man/chroot.Rd | 2 +- man/eval_fork.Rd | 33 ++++++++++++++++++++++++--------- man/process.Rd | 14 +++++++------- man/rlimit.Rd | 4 ++-- man/userinfo.Rd | 4 ++-- 13 files changed, 65 insertions(+), 48 deletions(-)
Title: Tour Methods for Multivariate Data Visualisation
Description: Implements geodesic interpolation and basis
generation functions that allow you to create new tour
methods from R.
Author: Hadley Wickham [aut, ctb] (<https://orcid.org/0000-0003-4757-117X>),
Di Cook [aut, cre] (<https://orcid.org/0000-0002-3813-7155>),
Nick Spyrison [ctb],
Ursula Laa [ctb] (<https://orcid.org/0000-0002-0249-6439>),
H. Sherry Zhang [ctb],
Stuart Lee [ctb] (<https://orcid.org/0000-0003-1179-8436>)
Maintainer: Di Cook <dicook@monash.edu>
Diff between tourr versions 0.5.6 dated 2019-02-11 and 0.6.0 dated 2020-12-11
tourr-0.5.6/tourr/README.md |only tourr-0.5.6/tourr/TODO |only tourr-0.6.0/tourr/DESCRIPTION | 38 +- tourr-0.6.0/tourr/LICENSE | 4 tourr-0.6.0/tourr/MD5 | 210 +++++++++------ tourr-0.6.0/tourr/NAMESPACE | 31 ++ tourr-0.6.0/tourr/NEWS | 19 + tourr-0.6.0/tourr/NEWS.md |only tourr-0.6.0/tourr/R/animate.r | 98 ++++--- tourr-0.6.0/tourr/R/data.r | 32 -- tourr-0.6.0/tourr/R/display-andrews.r | 16 - tourr-0.6.0/tourr/R/display-density.r | 28 -- tourr-0.6.0/tourr/R/display-density2d.r | 74 +++-- tourr-0.6.0/tourr/R/display-depth.r | 8 tourr-0.6.0/tourr/R/display-faces.r | 1 tourr-0.6.0/tourr/R/display-groupxy.r | 52 ++- tourr-0.6.0/tourr/R/display-image.r | 2 tourr-0.6.0/tourr/R/display-pca.r |only tourr-0.6.0/tourr/R/display-pcp.r | 24 - tourr-0.6.0/tourr/R/display-sage.R |only tourr-0.6.0/tourr/R/display-scatmat.r | 9 tourr-0.6.0/tourr/R/display-slice.r |only tourr-0.6.0/tourr/R/display-stars.r | 7 tourr-0.6.0/tourr/R/display-stereo.r | 28 -- tourr-0.6.0/tourr/R/display-trails.r | 13 tourr-0.6.0/tourr/R/display-xy.r | 63 ++-- tourr-0.6.0/tourr/R/env.r |only tourr-0.6.0/tourr/R/geodesic-path.r | 29 +- tourr-0.6.0/tourr/R/geodesic.r | 9 tourr-0.6.0/tourr/R/global.r |only tourr-0.6.0/tourr/R/history.r | 46 ++- tourr-0.6.0/tourr/R/interesting-indices.r | 250 ++++++++++++------ tourr-0.6.0/tourr/R/interpolate.r | 26 + tourr-0.6.0/tourr/R/linear-algebra.r | 31 +- tourr-0.6.0/tourr/R/path-andrews.r | 41 +- tourr-0.6.0/tourr/R/path-dist.r | 45 +-- tourr-0.6.0/tourr/R/path-index.r | 9 tourr-0.6.0/tourr/R/range.r | 6 tourr-0.6.0/tourr/R/render.r | 101 ++++++- tourr-0.6.0/tourr/R/search-better.r | 176 +++++++++++- tourr-0.6.0/tourr/R/search-frozen-geodesic.r | 73 +++-- tourr-0.6.0/tourr/R/search-geodesic.r | 124 ++++++-- tourr-0.6.0/tourr/R/search_polish.r |only tourr-0.6.0/tourr/R/search_posse.R |only tourr-0.6.0/tourr/R/section-pursuit.r |only tourr-0.6.0/tourr/R/slicing-util.r |only tourr-0.6.0/tourr/R/tour-dependence.r | 11 tourr-0.6.0/tourr/R/tour-frozen.r | 67 ++-- tourr-0.6.0/tourr/R/tour-grand.r | 9 tourr-0.6.0/tourr/R/tour-guided-section.r |only tourr-0.6.0/tourr/R/tour-guided.r | 84 ++++-- tourr-0.6.0/tourr/R/tour-little.r | 14 - tourr-0.6.0/tourr/R/tour-local.r | 9 tourr-0.6.0/tourr/R/tour-planned.r | 23 + tourr-0.6.0/tourr/R/tour.r | 88 +++++- tourr-0.6.0/tourr/R/tourr-package.R |only tourr-0.6.0/tourr/R/util.r | 28 +- tourr-0.6.0/tourr/build |only tourr-0.6.0/tourr/inst/CITATION | 23 + tourr-0.6.0/tourr/inst/doc |only tourr-0.6.0/tourr/inst/util/display-ggobi.r |only tourr-0.6.0/tourr/inst/util/ggobi-to-rdata.r |only tourr-0.6.0/tourr/inst/util/observe-bases.r |only tourr-0.6.0/tourr/inst/util/path-ggobi.r |only tourr-0.6.0/tourr/man/Flea-measurements.Rd | 9 tourr-0.6.0/tourr/man/Laser-measurements.Rd | 7 tourr-0.6.0/tourr/man/Olive-oil-measurements.Rd | 9 tourr-0.6.0/tourr/man/Ozone-measurements.Rd | 10 tourr-0.6.0/tourr/man/Places-Ratings.Rd | 7 tourr-0.6.0/tourr/man/Rat-CNS.Rd | 9 tourr-0.6.0/tourr/man/Tropical-Atmosphere-Ocean.Rd | 8 tourr-0.6.0/tourr/man/anaglyph.Rd | 4 tourr-0.6.0/tourr/man/anchored_orthogonal_distance.Rd |only tourr-0.6.0/tourr/man/angular_breaks.Rd |only tourr-0.6.0/tourr/man/animate.Rd | 24 + tourr-0.6.0/tourr/man/areColors.Rd |only tourr-0.6.0/tourr/man/compute_v_rel.Rd |only tourr-0.6.0/tourr/man/cumulative_radial.Rd |only tourr-0.6.0/tourr/man/dcor2d.Rd |only tourr-0.6.0/tourr/man/display_density2d.Rd | 51 ++- tourr-0.6.0/tourr/man/display_dist.Rd | 9 tourr-0.6.0/tourr/man/display_groupxy.Rd | 23 + tourr-0.6.0/tourr/man/display_pca.Rd |only tourr-0.6.0/tourr/man/display_sage.Rd |only tourr-0.6.0/tourr/man/display_slice.Rd |only tourr-0.6.0/tourr/man/display_stars.Rd | 3 tourr-0.6.0/tourr/man/display_stereo.Rd | 13 tourr-0.6.0/tourr/man/display_trails.Rd | 16 - tourr-0.6.0/tourr/man/display_xy.Rd | 52 ++- tourr-0.6.0/tourr/man/estimate_eps.Rd |only tourr-0.6.0/tourr/man/eucl_norm_sq.Rd |only tourr-0.6.0/tourr/man/figures |only tourr-0.6.0/tourr/man/find_best_dir.Rd | 6 tourr-0.6.0/tourr/man/find_best_frozen_dir.Rd | 2 tourr-0.6.0/tourr/man/find_path_peak.Rd | 2 tourr-0.6.0/tourr/man/frozen_tour.Rd | 37 +- tourr-0.6.0/tourr/man/geodesic_path.Rd | 2 tourr-0.6.0/tourr/man/guided_section_tour.Rd |only tourr-0.6.0/tourr/man/guided_tour.Rd | 28 +- tourr-0.6.0/tourr/man/interpolate.Rd | 4 tourr-0.6.0/tourr/man/linear_breaks.Rd |only tourr-0.6.0/tourr/man/mapColors.Rd |only tourr-0.6.0/tourr/man/new_geodesic_path.Rd | 2 tourr-0.6.0/tourr/man/new_tour.Rd | 4 tourr-0.6.0/tourr/man/norm_bin.Rd |only tourr-0.6.0/tourr/man/orthonormalise_by.Rd | 2 tourr-0.6.0/tourr/man/path_curves.Rd | 34 +- tourr-0.6.0/tourr/man/path_dist.Rd | 41 +- tourr-0.6.0/tourr/man/path_index.Rd | 2 tourr-0.6.0/tourr/man/paths_index.Rd | 6 tourr-0.6.0/tourr/man/radial_bin_weight_inv.Rd |only tourr-0.6.0/tourr/man/render.Rd | 29 +- tourr-0.6.0/tourr/man/render_gif.Rd |only tourr-0.6.0/tourr/man/save_history.Rd | 25 + tourr-0.6.0/tourr/man/search_better.Rd | 34 ++ tourr-0.6.0/tourr/man/search_better_random.Rd | 45 ++- tourr-0.6.0/tourr/man/search_frozen_geodesic.Rd | 35 ++ tourr-0.6.0/tourr/man/search_geodesic.Rd | 28 +- tourr-0.6.0/tourr/man/search_polish.Rd |only tourr-0.6.0/tourr/man/search_posse.Rd |only tourr-0.6.0/tourr/man/slice_binning.Rd |only tourr-0.6.0/tourr/man/slice_index.Rd |only tourr-0.6.0/tourr/man/splines2d.Rd |only tourr-0.6.0/tourr/man/tourr-package.Rd |only tourr-0.6.0/tourr/man/weights_bincount_radial.Rd |only tourr-0.6.0/tourr/vignettes |only 126 files changed, 1882 insertions(+), 819 deletions(-)
Title: Bindings to AppArmor and Security Related Linux Tools
Description: Bindings to kernel methods for enforcing security restrictions.
AppArmor can apply mandatory access control (MAC) policies on a given task
(process) via security profiles with detailed ACL definitions. In addition
this package implements bindings for setting process resource limits (rlimit),
uid, gid, affinity and priority. The high level R function 'eval.secure'
builds on these methods to perform dynamic sandboxing: it evaluates a single
R expression within a temporary fork which acts as a sandbox by enforcing
fine grained restrictions without affecting the main R process. A portable
version of this function is now available in the 'unix' package.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between RAppArmor versions 3.2.1 dated 2020-01-31 and 3.2.2 dated 2020-12-11
RAppArmor-3.2.1/RAppArmor/man/sandboxing.Rd |only RAppArmor-3.2.2/RAppArmor/DESCRIPTION | 15 ++++++++------- RAppArmor-3.2.2/RAppArmor/MD5 | 16 ++++++++-------- RAppArmor-3.2.2/RAppArmor/NEWS | 4 ++++ RAppArmor-3.2.2/RAppArmor/R/affinity.R | 3 +-- RAppArmor-3.2.2/RAppArmor/R/eval.R | 19 +++++++++++-------- RAppArmor-3.2.2/RAppArmor/build/vignette.rds |binary RAppArmor-3.2.2/RAppArmor/inst/CITATION | 2 +- RAppArmor-3.2.2/RAppArmor/man/affinity.Rd | 2 +- RAppArmor-3.2.2/RAppArmor/man/eval.secure.Rd |only 10 files changed, 34 insertions(+), 27 deletions(-)
More information about RadialVisGadgets at CRAN
Permanent link
Title: Latent Variable Model to Infer Food Intake from Multiple
Biomarkers
Description: A latent variable model based on factor analytic and mixture of experts models, designed to infer food intake from multiple biomarkers data. The model is framed within a Bayesian hierarchical framework, which provides flexibility to adapt to different biomarker distributions and facilitates inference on food intake from biomarker data alone, along with the associated uncertainty. Details are in D'Angelo, et al. (2020) <arXiv:2006.02995>.
Author: Silvia D'Angelo [aut, cre],
Claire Gormley [ctb],
Lorraine Brennan [ctb]
Maintainer: Silvia D'Angelo <silvia.dangelo@ucd.ie>
Diff between multiMarker versions 1.0 dated 2020-07-02 and 1.0.1 dated 2020-12-11
DESCRIPTION | 10 ++-- MD5 | 14 +++--- NAMESPACE | 4 - R/internal_functions.R | 69 ++++++++++++++++---------------- R/multiMarker.R | 97 +++++++++++++++++++++++++++------------------ R/predict.multiMarker.R | 57 +++++++++++++++++++++----- man/multiMarker.Rd | 20 +++------ man/predict.multiMarker.Rd | 67 ++++++++++--------------------- 8 files changed, 186 insertions(+), 152 deletions(-)
Title: Multilevel Mediation Analysis
Description: Do multilevel mediation analysis with generalized additive multilevel models. The analysis method is described in Yu and Li (2020), "Third-Variable Effect Analysis with Multilevel Additive Models", PLoS ONE 15(10): e0241072.
Author: Qingzhao Yu, Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>
Diff between mlma versions 5.1-0 dated 2020-07-27 and 6.0-0 dated 2020-12-11
DESCRIPTION | 13 MD5 | 27 NAMESPACE | 5 R/mlma.r | 1284 +++++++++++++++++++++++++++++++-------------- inst/doc/MLMAvignette.Rmd | 30 - inst/doc/MLMAvignette.html | 72 +- man/boot.mlma.Rd | 15 man/data.org.Rd | 6 man/joint.effect.Rd |only man/mlma-package.Rd | 3 man/mlma.Rd | 7 man/plot.mlma.Rd | 4 man/plot.mlma.boot.Rd | 5 man/print.mlma.Rd | 2 vignettes/MLMAvignette.Rmd | 30 - 15 files changed, 1017 insertions(+), 486 deletions(-)
Title: Create Panels of Independent States
Description: Create panel data consisting of independent states from 1816 to
the present. The package includes the Gleditsch & Ward (G&W) and Correlates
of War (COW) lists of independent states, as well as helper functions for
working with state panel data and standardizing other data sources to
create country-year/month/etc. data.
Author: Andreas Beger [cre, aut] (<https://orcid.org/0000-0003-1883-3169>)
Maintainer: Andreas Beger <adbeger@gmail.com>
Diff between states versions 0.2.2 dated 2019-01-11 and 0.3.0 dated 2020-12-11
states-0.2.2/states/R/data.R |only states-0.2.2/states/tests/testthat/test-dates.R |only states-0.3.0/states/DESCRIPTION | 16 states-0.3.0/states/MD5 | 79 + states-0.3.0/states/NAMESPACE | 11 states-0.3.0/states/NEWS.md | 28 states-0.3.0/states/R/compare.R |only states-0.3.0/states/R/data-docs.R |only states-0.3.0/states/R/index-date.R |only states-0.3.0/states/R/misc.R |only states-0.3.0/states/R/plot-missing.R | 281 ++++-- states-0.3.0/states/R/state-panel.R | 211 +++-- states-0.3.0/states/R/states-package.R | 2 states-0.3.0/states/R/utils.R | 81 + states-0.3.0/states/README.md | 177 ++-- states-0.3.0/states/build/vignette.rds |binary states-0.3.0/states/data/cowstates.rda |binary states-0.3.0/states/data/gwstates.rda |binary states-0.3.0/states/inst/doc/differences-gw-cow.R | 21 states-0.3.0/states/inst/doc/differences-gw-cow.Rmd | 55 - states-0.3.0/states/inst/doc/differences-gw-cow.html | 451 ++++++----- states-0.3.0/states/inst/doc/statelists.R |only states-0.3.0/states/inst/doc/statelists.Rmd |only states-0.3.0/states/inst/doc/statelists.html |only states-0.3.0/states/man/compare.Rd |only states-0.3.0/states/man/country_names.Rd |only states-0.3.0/states/man/cowstates.Rd | 24 states-0.3.0/states/man/figures/README-unnamed-chunk-4-1.png |binary states-0.3.0/states/man/gwstates.Rd | 31 states-0.3.0/states/man/id_date_sequence.Rd | 8 states-0.3.0/states/man/id_period.Rd |only states-0.3.0/states/man/index_date.Rd |only states-0.3.0/states/man/parse_date.Rd |only states-0.3.0/states/man/plot_missing.Rd | 88 +- states-0.3.0/states/man/polity.Rd | 28 states-0.3.0/states/man/prettyc.Rd |only states-0.3.0/states/man/sfind.Rd | 2 states-0.3.0/states/man/state_panel.Rd | 40 states-0.3.0/states/man/state_panel_date.Rd |only states-0.3.0/states/man/states.Rd | 18 states-0.3.0/states/tests/testthat.R | 4 states-0.3.0/states/tests/testthat/test-compare.R |only states-0.3.0/states/tests/testthat/test-country-names.R |only states-0.3.0/states/tests/testthat/test-index-date.R |only states-0.3.0/states/tests/testthat/test-misc.R |only states-0.3.0/states/tests/testthat/test-plot-missing.R | 157 +++ states-0.3.0/states/tests/testthat/test-sfind.R | 3 states-0.3.0/states/tests/testthat/test-state-panel.R | 115 +- states-0.3.0/states/tests/testthat/test-utils.R | 65 + states-0.3.0/states/vignettes/differences-gw-cow.Rmd | 55 - states-0.3.0/states/vignettes/statelists.Rmd |only 51 files changed, 1294 insertions(+), 757 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-11-14 0.81
Title: Phase Portraits of Functions in the Complex Number Plane
Description: Functionality for creating phase portraits of functions in the
complex number plane. Works with R base graphics, whose full
functionality is available. Parallel processing is used for optimum
performance.
Author: Peter Biber [aut, cre] (<https://orcid.org/0000-0002-9700-8708>)
Maintainer: Peter Biber <castor.fiber@gmx.de>
Diff between viscomplexr versions 1.0.1 dated 2020-11-03 and 1.1.0 dated 2020-12-11
DESCRIPTION | 12 MD5 | 66 NAMESPACE | 63 NEWS.md | 33 R/Helpers.R | 300 +-- R/RcppExports.R | 496 +++--- R/RiemannMask.R | 544 +++--- R/Vector2String.R | 158 +- R/VisComplex.R | 2729 +++++++++++++++++------------------ R/phasePortraitBw.R |only README.md | 302 ++- build/partial.rdb |binary build/vignette.rds |binary inst/REFERENCES.bib | 18 inst/doc/viscomplexr-vignette.R | 977 ++++++------ inst/doc/viscomplexr-vignette.Rmd | 1451 +++++++++--------- inst/doc/viscomplexr-vignette.html | 1982 ++++++++++++------------- man/blaschkeProd.Rd | 112 - man/jacobiTheta.Rd | 174 +- man/juliaNormal.Rd | 166 +- man/mandelbrot.Rd | 136 - man/phasePortrait.Rd | 1348 ++++++++--------- man/phasePortraitBw.Rd |only man/riemannMask.Rd | 356 ++-- man/vector2String.Rd | 128 - man/xlimFromYlim.Rd | 138 - man/ylimFromXlim.Rd | 136 - tests/testthat.R | 8 tests/testthat/1wmatCase003.RData |binary tests/testthat/1wmatCase005.RData |only tests/testthat/1wmatCase006.RData |only tests/testthat/1wmatCase007.RData |only tests/testthat/1wmatCase008.RData |only tests/testthat/test-funDefinitions.R | 148 - tests/testthat/test-funsWork.R | 452 +++-- vignettes/REFERENCES.bib | 86 - vignettes/viscomplexr-vignette.Rmd | 1451 +++++++++--------- 37 files changed, 7151 insertions(+), 6819 deletions(-)
Title: Extract Decennial Census and American Community Survey Data
Description: Download summary files from Census Bureau <https://www2.census.gov/>
and extract data, in particular high resolution data at
block, block group, and tract level, from decennial census and
American Community Survey 1-year and 5-year estimates.
Author: Guanglai Li
Maintainer: Guanglai Li <liguanglai@gmail.com>
Diff between totalcensus versions 0.6.4 dated 2020-09-27 and 0.6.5 dated 2020-12-11
DESCRIPTION | 8 ++--- MD5 | 20 ++++++++------ R/data_acs.R | 35 ++++++++++++++++++++++++-- R/quiet_global_variable_in_cran_check.R | 9 +++--- R/search_census_and_acs.R | 43 +++++++++++++++++--------------- data/dict_acs5_geocomponent.RData |binary data/dict_acs5_summarylevel.RData |binary data/dict_acs5_table.RData |binary data/lookup_acs5year_2019.RData |only man/dict_acs5_summarylevel.Rd | 4 +- man/dict_acs5_table.Rd | 5 ++- man/lookup_acs5year_2019.Rd |only 12 files changed, 83 insertions(+), 41 deletions(-)