Title: Intergovernmental Organizations Database
Description: Tools to extract information from the Intergovernmental
Organizations ('IGO') Database , version 3, provided by the Correlates
of War Project <https://correlatesofwar.org/>. See also Pevehouse, J.
C. et al. (2020), <doi:10.1177/0022343319881175>. Version 3 includes
information from 1815 to 2014.
Author: Diego Hernangómez [aut, cre, cph]
(<https://orcid.org/0000-0001-8457-4658>)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>
Diff between igoR versions 0.1.2 dated 2021-08-04 and 0.1.3 dated 2021-10-20
igoR-0.1.2/igoR/inst/doc/mapping.R |only igoR-0.1.2/igoR/inst/schemaorg.json |only igoR-0.1.2/igoR/vignettes/AusShared.png |only igoR-0.1.2/igoR/vignettes/NAShared.png |only igoR-0.1.2/igoR/vignettes/UNMaps.png |only igoR-0.1.3/igoR/DESCRIPTION | 25 ++---- igoR-0.1.3/igoR/MD5 | 55 ++++++------- igoR-0.1.3/igoR/NEWS.md | 4 igoR-0.1.3/igoR/R/data.R | 33 +++++--- igoR-0.1.3/igoR/R/igo_dyadic.R | 3 igoR-0.1.3/igoR/R/sysdata.rda |binary igoR-0.1.3/igoR/README.md | 56 +++++++++---- igoR-0.1.3/igoR/build/partial.rdb |binary igoR-0.1.3/igoR/build/vignette.rds |binary igoR-0.1.3/igoR/data/igo_year_format3.rda |binary igoR-0.1.3/igoR/data/state_year_format3.rda |binary igoR-0.1.3/igoR/data/states2016.rda |binary igoR-0.1.3/igoR/inst/CITATION | 53 ++++++++++--- igoR-0.1.3/igoR/inst/WORDLIST |only igoR-0.1.3/igoR/inst/doc/igoR.R | 11 -- igoR-0.1.3/igoR/inst/doc/igoR.Rmd | 114 ++++++++++++---------------- igoR-0.1.3/igoR/inst/doc/igoR.html | 83 +------------------- igoR-0.1.3/igoR/inst/doc/mapping.Rmd | 44 +++------- igoR-0.1.3/igoR/inst/doc/mapping.html | 8 + igoR-0.1.3/igoR/man/igoR-package.Rd | 11 -- igoR-0.1.3/igoR/man/igo_year_format3.Rd | 8 + igoR-0.1.3/igoR/man/state_year_format3.Rd | 13 ++- igoR-0.1.3/igoR/man/states2016.Rd | 8 + igoR-0.1.3/igoR/vignettes/AustShared-1.png |only igoR-0.1.3/igoR/vignettes/NAShared-1.png |only igoR-0.1.3/igoR/vignettes/UNMaps-1.png |only igoR-0.1.3/igoR/vignettes/igoR.Rmd | 114 ++++++++++++---------------- igoR-0.1.3/igoR/vignettes/mapping.Rmd | 44 +++------- 33 files changed, 311 insertions(+), 376 deletions(-)
Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015):
- fixed effect and random effects meta-analysis;
- several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble);
- statistical tests and trim-and-fill method to evaluate bias in meta-analysis;
- import data from 'RevMan 5';
- prediction interval, Hartung-Knapp method for random effects model;
- cumulative meta-analysis and leave-one-out meta-analysis;
- meta-regression;
- generalised linear mixed models;
- produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>
Diff between meta versions 5.0-0 dated 2021-10-11 and 5.0-1 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- NEWS.md | 17 ++++++++++++++++- R/forest.metabind.R | 32 ++++++++++++-------------------- R/mean-sd-internal.R | 13 +++++++------ R/meta-aux.R | 13 +++++++++---- R/meta-chk.R | 4 ++-- R/meta-internal.R | 18 +++++++++++++----- R/meta-set.R | 4 ++-- R/metamean.R | 29 ++++++++++++++++------------- R/print.meta.R | 30 +++++++++++++++++++----------- R/print.summary.meta.R | 12 ++++++++++-- R/settings.meta.R | 10 +++------- man/forest.metabind.Rd | 4 ++++ 14 files changed, 130 insertions(+), 90 deletions(-)
Title: Convert Vietnamese Encodings
Description: Conversion of characters from unsupported Vietnamese character encodings to Unicode characters. These Vietnamese encodings (TCVN3, VISCII, VPS) are not natively supported in R and lead to printing of wrong characters and garbled text (mojibake). This package fixes that problem and provides readable output with the correct Unicode characters (with or without diacritics).
Author: Juergen Niedballa [aut, cre] (<https://orcid.org/0000-0002-9187-2116>),
An The Truong Nguyen [ctb]
Maintainer: Juergen Niedballa <niedballa@izw-berlin.de>
Diff between vietnameseConverter versions 0.3.1 dated 2021-09-27 and 0.4.0 dated 2021-10-20
vietnameseConverter-0.3.1/vietnameseConverter/inst/doc/vietnameseConverter.R |only vietnameseConverter-0.3.1/vietnameseConverter/inst/doc/vietnameseConverter.Rmd |only vietnameseConverter-0.3.1/vietnameseConverter/inst/doc/vietnameseConverter.html |only vietnameseConverter-0.3.1/vietnameseConverter/vignettes/vietnameseConverter.Rmd |only vietnameseConverter-0.4.0/vietnameseConverter/DESCRIPTION | 14 - vietnameseConverter-0.4.0/vietnameseConverter/MD5 | 19 +- vietnameseConverter-0.4.0/vietnameseConverter/NAMESPACE | 4 vietnameseConverter-0.4.0/vietnameseConverter/NEWS | 5 vietnameseConverter-0.4.0/vietnameseConverter/R/decodeVN.R | 71 ++++++---- vietnameseConverter-0.4.0/vietnameseConverter/build/vignette.rds |binary vietnameseConverter-0.4.0/vietnameseConverter/inst/doc/vietnameseConverter.pdf |only vietnameseConverter-0.4.0/vietnameseConverter/inst/doc/vietnameseConverter.pdf.asis |only vietnameseConverter-0.4.0/vietnameseConverter/man/decodeVN.Rd | 31 +++- vietnameseConverter-0.4.0/vietnameseConverter/vignettes/vietnameseConverter.pdf.asis |only 14 files changed, 93 insertions(+), 51 deletions(-)
More information about vietnameseConverter at CRAN
Permanent link
Title: Deconvolution Estimation in Measurement Error Models
Description: A collection of functions to deal
with nonparametric measurement error problems using
deconvolution kernel methods. We focus two measurement error
models in the package: (1) an additive measurement error model,
where the goal is to estimate the density or distribution
function from contaminated data; (2) nonparametric regression
model with errors-in-variables. The R functions allow the
measurement errors to be either homoscedastic or
heteroscedastic. To make the deconvolution estimators
computationally more efficient in R, we adapt the "Fast Fourier
Transform" (FFT) algorithm for density estimation with
error-free data to the deconvolution kernel estimation. Several
methods for the selection of the data-driven smoothing
parameter are also provided in the package. See details in:
Wang, X.F. and Wang, B. (2011). Deconvolution estimation in
measurement error models: The R package decon. Journal of
Statistical Software, 39(10), 1-24.
Author: Xiao-Feng Wang, Bin Wang
Maintainer: Xiao-Feng Wang <wangx6@ccf.org>
Diff between decon versions 1.2-4 dated 2013-04-17 and 1.3-4 dated 2021-10-20
DESCRIPTION | 10 - MD5 | 20 +-- NAMESPACE | 9 + R/onload.R | 1 R/unknownME.R |only inst/CITATION | 5 man/DeconCPdf.Rd | 12 - man/DeconCdf.Rd | 19 +-- man/DeconPdf.Rd | 52 ++++---- man/npdenest.Rd |only man/npreg.Rd |only src/Ckernel.c | 269 +++++++++++++++++++++++++++++++++++++++++++- src/registerDynamicSymbol.c |only 13 files changed, 335 insertions(+), 62 deletions(-)
Title: Bayesian Meta-Analysis and Network Meta-Analysis
Description: Contains functions performing Bayesian inference for meta-analytic and network meta-analytic models through Markov chain Monte Carlo algorithm. Currently, the package implements Hui Yao, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin (2015) <doi:10.1080/01621459.2015.1006065> and Hao Li, Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin (2021) <doi:10.1002/sim.8983>. For maximal computational efficiency, the Markov chain Monte Carlo samplers for each model, written in C++, are fine-tuned. This software has been developed under the auspices of the National Institutes of Health and Merck & Co., Inc., Kenilworth, NJ, USA.
Author: Daeyoung Lim [aut, cre],
Ming-Hui Chen [ctb],
Sungduk Kim [ctb],
Joseph Ibrahim [ctb],
Arvind Shah [ctb],
Jianxin Lin [ctb]
Maintainer: Daeyoung Lim <daeyoung.lim@uconn.edu>
Diff between metapack versions 0.1.3 dated 2021-07-20 and 0.1.4 dated 2021-10-20
DESCRIPTION | 8 MD5 | 48 - R/RcppExports.R | 166 +++--- R/bayes.parobs.R | 1 R/meta_analyze.R | 2 build/vignette.rds |binary inst/doc/intro-to-metapack.R | 78 +-- inst/doc/intro-to-metapack.Rmd | 26 - inst/doc/intro-to-metapack.html | 990 ++++++++++++++++------------------------ src/BayesNMR.cpp | 18 src/RcppExports.cpp | 29 - src/fmodel1.cpp | 12 src/fmodel1p.cpp | 12 src/fmodel2.cpp | 12 src/fmodel2p.cpp | 12 src/fmodel2p5.cpp | 12 src/fmodel2p5p.cpp | 4 src/fmodel3.cpp | 28 - src/fmodel3pp.cpp | 30 - src/fmodel4.cpp | 26 - src/fmodel4p.cpp | 26 - src/gof_parcov.cpp | 7 src/linearalgebra.cpp | 93 +++ src/linearalgebra.h | 5 vignettes/intro-to-metapack.Rmd | 26 - 25 files changed, 754 insertions(+), 917 deletions(-)
Title: Detecting Anomalies in Data
Description: Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059>, and Bayesian Abnormal Region Detector (BARD) <arXiv:1412.5565> methods for the detection of anomalies in time series data. Also includes sequential versions of CAPA and MVCAPA <arXiv:2009.06670>.
Author: Alex Fisch [aut],
Daniel Grose [aut, cre],
Lawrence Bardwell [aut, ctb],
Idris Eckley [aut, ths],
Paul Fearnhead [aut, ths]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Diff between anomaly versions 4.0.1 dated 2021-01-21 and 4.0.2 dated 2021-10-20
DESCRIPTION | 13 ++++----- MD5 | 60 +++++++++++++++++++++++---------------------- NAMESPACE | 9 ++++++ R/ac_corrected.R | 3 +- R/bard.R | 6 ++-- R/capa.R | 8 ++++-- R/capa.mv.R | 4 +-- R/capa.uv.R | 4 +-- R/data.R | 4 ++- R/moving_ac_corrected.R |only R/pass.R | 4 +-- R/pass.class.R | 2 - R/robustscale.R | 30 +++++++++++++--------- R/scapa.mv.R | 3 +- R/scapa.uv.R | 3 +- R/tierney.R | 29 ++++++++++++--------- build/partial.rdb |binary inst/REFERENCES.bib | 7 +++-- man/ac_corrected.Rd | 3 +- man/bard.Rd | 2 - man/capa.Rd | 2 - man/capa.mv.Rd | 2 - man/capa.uv.Rd | 2 - man/lightcurves-data.Rd | 4 ++- man/moving_ac_corrected.Rd |only man/pass.Rd | 2 - man/plot-methods.Rd | 28 ++++++++++----------- man/robustscale.Rd | 3 +- man/scapa.mv.Rd | 3 +- man/scapa.uv.Rd | 3 +- man/tierney.Rd | 2 - src/RcppExports.cpp | 5 +++ 32 files changed, 146 insertions(+), 104 deletions(-)
Title: IP Address Geolocation
Description: Connectors to online and offline sources for taking IP addresses
and geolocating them to country, city, timezone and other geographic ranges. For
individual connectors, see the package index.
Author: Os Keyes [aut, cre], Drew Schmidt [aut], David Robinson [ctb],
Chris Davis [ctb], Bob Rudis [ctb], Maxmind, Inc. [cph], Pascal Gloor [cph], IP2Location.com [cph]
Maintainer: Os Keyes <ironholds@gmail.com>
Diff between rgeolocate versions 1.3.1 dated 2020-05-17 and 1.4.1 dated 2021-10-20
DESCRIPTION | 12 - MD5 | 42 ++--- NEWS | 5 R/db_ip.R | 6 R/ip2location.R | 4 R/ip_api.R | 4 R/ipinfo.R | 4 R/maxmind.R | 2 README.md | 2 build/vignette.rds |binary configure.ac | 11 - inst/doc/Introduction_to_rgeolocate.Rmd | 12 - inst/doc/Introduction_to_rgeolocate.html | 240 ++++--------------------------- man/db_ip.Rd | 4 man/ip2location.Rd | 4 man/ip_api.Rd | 2 man/ip_info.Rd | 2 man/maxmind.Rd | 2 src/RcppExports.cpp | 5 tests/testthat/test_ip_api.R | 2 vignettes/Introduction_to_rgeolocate.Rmd | 12 - vignettes/Introduction_to_rgeolocate.md | 14 - 22 files changed, 114 insertions(+), 277 deletions(-)
Title: Reverse-Phase Protein Array Super Position and Concentration
Evaluation
Description: Provides tools for the analysis of reverse-phase protein arrays (RPPAs), which are also known as "tissue lysate arrays" or simply "lysate arrays". The package's primary purpose is to input a set of quantification files representing dilution series of samples and control points taken from scanned RPPA slides and determine a relative log concentration value for each valid dilution series present in each slide and provide graphical visualization of the input and output data and their relationships. Other optional features include generation of quality control scores for judging the quality of the input data, spatial adjustment of sample points based on controls added to the slides, and various types of normalization of calculated values across a set of slides. The package was derived from a previous package named SuperCurve. For a detailed description of data inputs and outputs, usage information, and a list of related papers describing methods used in the package please review the vignette "Guide_to_RPPASPACE". Hu (2007) <doi:10.1093/bioinformatics/btm283>.
Author: James M. Melott [aut, cre],
Paul Roebuck [aut],
Kevin R. Coombes [aut],
Shannon Neeley [aut],
Corwin Joy [aut],
Jianhua Hu [aut],
Keith Baggerly [aut]
Maintainer: James M. Melott <jmmelott@mdanderson.org>
Diff between RPPASPACE versions 1.0.7 dated 2020-12-10 and 1.0.8 dated 2021-10-20
DESCRIPTION | 18 MD5 | 43 - NAMESPACE | 3 NEWS | 19 R/rs1-rppa.R | 801 +++++++++++++------------ R/rs2-design.R | 26 R/rs3-1-dilutionFit.R | 1106 +++++++++++++++++------------------ R/rs3-2-mainFit.R | 10 R/rs5-rppaSet.R | 758 ++++++++++++++++++++--- R/rs98-settings.R | 18 R/rs99-fitcurve.R | 24 build/RPPASPACE.pdf |binary build/vignette.rds |binary inst/doc/Guide_to_RPPASPACE.Rmd | 12 inst/doc/Guide_to_RPPASPACE.pdf |binary inst/extdata/sampleCode/Run.R | 2 man/rs02-RPPADesignParams-class.Rd | 16 man/rs06-RPPAFitParams-class.Rd | 35 - man/rs11-RPPASet-class.Rd | 13 man/rs98-RPPASPACESettings-class.Rd | 14 vignettes/Guide_to_RPPASPACE.Rmd | 12 vignettes/images/oldsample_png_1.png |only vignettes/images/sample_png_1.png |binary 23 files changed, 1772 insertions(+), 1158 deletions(-)
Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre],
Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotRgui versions 4.1 dated 2021-07-10 and 4.2 dated 2021-10-20
DESCRIPTION | 10 ++-- MD5 | 44 ++++++++++----------- R/IsoplotR.R | 34 ++++++++++++++-- R/server.R | 3 - inst/www/css/IsoplotR.css | 6 +- inst/www/css/jquery-ui.min.css | 4 - inst/www/help/isochron.html | 23 ++++++++--- inst/www/home/news.html | 30 +++++++------- inst/www/index.html | 1 inst/www/js/IsoplotR.js | 36 ++++++++--------- inst/www/js/jquery-ui.min.js | 13 +----- inst/www/js/jquery.min.js | 4 - inst/www/js/js2R.js | 12 +++++ inst/www/js/settings.json | 3 + inst/www/locales/en/contextual_help.json | 10 ++-- inst/www/locales/en/dictionary_id.json | 10 ++-- inst/www/locales/en/home_id.json | 2 inst/www/locales/es/contextual_help.json | 21 +++++++++- inst/www/locales/zh_Hans/contextual_help.json | 4 - inst/www/options/KDE.html | 3 - inst/www/options/concordia.html | 4 - inst/www/options/isochron.html | 54 ++++++++++++++++---------- inst/www/version.txt | 2 23 files changed, 206 insertions(+), 127 deletions(-)
Title: Proportional Odds Model with Censored, Time-Lagged Categorical
Outcome
Description: Implements a semiparametric estimator for the odds ratio model with
censored, time-lagged, ordered categorical outcome in a randomized clinical
trial that incorporates baseline and time-dependent information.
Tsiatis, A. A. and Davidian, M. (2021) <arXiv:2106.15559>.
Author: Marie Davidian [aut],
A. A. Tsiatis [aut],
Shannon T. Holloway [aut, cre]
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>
Diff between tLagPropOdds versions 1.0 dated 2021-07-01 and 1.1 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 5 +++-- NEWS |only R/verifyInputs.R | 4 +++- 4 files changed, 10 insertions(+), 7 deletions(-)
Title: Summary Plots with Adjusted Error Bars
Description: Computes standard error and confidence interval of various descriptive statistics under
various designs and sampling schemes. The main function, superbPlot(), can either return a plot
or a dataframe with the statistic and its precision interval so that other plotting package
can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109>
or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005)
<doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012)
<doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>,
Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding
<doi:10.20982/tqmp.15.1.p001> for specific references.
Author: Denis Cousineau [aut, cre],
Bradley Harding [ctb],
Marc-Andre Goulet [ctb],
Jesika Walker [art, pre]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>
Diff between superb versions 0.9.7.6 dated 2021-10-04 and 0.9.7.7 dated 2021-10-20
DESCRIPTION | 10 MD5 | 148 +++++----- NEWS.md | 6 R/TMB1964r.R | 28 - R/functionsPlotting_advanced.R | 36 +- R/functionsPlotting_base.R | 110 +++---- README.md | 6 build/partial.rdb |binary build/vignette.rds |binary inst/doc/TheMakingOf.R | 16 - inst/doc/TheMakingOf.Rmd | 10 inst/doc/TheMakingOf.html | 30 -- inst/doc/Vignette1.R | 8 inst/doc/Vignette1.Rmd | 8 inst/doc/Vignette1.html | 6 inst/doc/Vignette2.R | 2 inst/doc/Vignette2.Rmd | 2 inst/doc/Vignette2.html | 2 inst/doc/Vignette3.R | 10 inst/doc/Vignette3.Rmd | 10 inst/doc/Vignette3.html | 10 inst/doc/Vignette4.R | 4 inst/doc/Vignette4.Rmd | 4 inst/doc/Vignette4.html | 4 inst/doc/Vignette5.R | 21 - inst/doc/Vignette5.Rmd | 8 inst/doc/Vignette5.html | 34 -- inst/doc/Vignette6.R | 4 inst/doc/Vignette6.Rmd | 4 inst/doc/Vignette6.html | 48 +-- inst/doc/Vignette7.R | 2 inst/doc/Vignette7.Rmd | 2 inst/doc/Vignette7.html | 2 inst/doc/Vignette8.R | 2 inst/doc/Vignette8.Rmd | 2 inst/doc/Vignette8.html | 2 inst/doc/Vignette9.R | 4 inst/doc/Vignette9.Rmd | 4 inst/doc/Vignette9.html | 14 inst/doc/VignetteA.R | 18 - inst/doc/VignetteA.Rmd | 22 - inst/doc/VignetteA.html | 48 +-- inst/doc/VignetteB.R | 4 inst/doc/VignetteB.Rmd | 4 inst/doc/VignetteB.html | 4 inst/doc/VignetteC.R | 4 inst/doc/VignetteC.Rmd | 4 inst/doc/VignetteC.html | 4 inst/doc/VignetteD.R |only inst/doc/VignetteD.Rmd |only inst/doc/VignetteD.html |only inst/extdata |only inst/superbShiny/App.R | 3 inst/superbShiny/rsconnect/shinyapps.io/superbplot/superbshiny.dcf | 6 man/TMB1964r.Rd | 28 - man/superbPlot.bar.Rd | 18 - man/superbPlot.halfwidthline.Rd | 18 - man/superbPlot.line.Rd | 18 - man/superbPlot.point.Rd | 18 - man/superbPlot.pointindividualline.Rd | 20 - man/superbPlot.pointjitter.Rd | 18 - man/superbPlot.pointjitterviolin.Rd | 18 - man/superbPlot.raincloud.Rd | 18 - vignettes/TheMakingOf.Rmd | 10 vignettes/Vignette1.Rmd | 8 vignettes/Vignette2.Rmd | 2 vignettes/Vignette3.Rmd | 10 vignettes/Vignette4.Rmd | 4 vignettes/Vignette5.Rmd | 8 vignettes/Vignette6.Rmd | 4 vignettes/Vignette7.Rmd | 2 vignettes/Vignette8.Rmd | 2 vignettes/Vignette9.Rmd | 4 vignettes/VignetteA.Rmd | 22 - vignettes/VignetteB.Rmd | 4 vignettes/VignetteC.Rmd | 4 vignettes/VignetteD.Rmd |only 77 files changed, 454 insertions(+), 548 deletions(-)
Title: Relative Importance of Regressors in Linear Models
Description: Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site.
Author: Ulrike Groemping [aut, cre],
Lehrkamp Matthias [ctb]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>
Diff between relaimpo versions 2.2-5 dated 2021-05-15 and 2.2-6 dated 2021-10-20
DESCRIPTION | 16 ++++++++-------- MD5 | 16 ++++++++-------- R/booteval.relimp.R | 3 ++- inst/NEWS | 5 +++++ man/booteval.relimp.Rd | 2 +- man/calc.relimp.Rd | 2 +- man/classesmethods.relaimpo.Rd | 2 +- man/mianalyze.relimp.Rd | 2 +- man/relaimpo-package.Rd | 2 +- 9 files changed, 28 insertions(+), 22 deletions(-)
Title: Feature Importance for Partitional Clustering
Description: Implements a novel approach for measuring feature importance in k-means clustering. Importance of a feature is measured by the misclassification rate relative to the baseline cluster assignment due to a random permutation of feature values. An explanation of permutation feature importance in general can be found here: <https://christophm.github.io/interpretable-ml-book/feature-importance.html>.
Author: Oliver Pfaffel [aut, cre]
Maintainer: Oliver Pfaffel <opfaffel@gmail.com>
Diff between FeatureImpCluster versions 0.1.4 dated 2021-06-03 and 0.1.5 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 4 ++++ R/permmisclassrate.R | 4 +++- README.md | 14 ++++++++------ tests/testthat/test-permmisclassrate.R | 4 ++++ 6 files changed, 28 insertions(+), 16 deletions(-)
More information about FeatureImpCluster at CRAN
Permanent link
Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political
data about Nigeria, aimed at simplifying work with data and information that
are specific to the country.
Author: Victor Ordu [aut, cre] (<https://orcid.org/0000-0003-3716-0668>)
Maintainer: Victor Ordu <victorordu@outlook.com>
Diff between naijR versions 0.3.1 dated 2021-09-30 and 0.3.2 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- NEWS.md | 7 +++++++ R/class-regions.R | 13 ++++++++++--- README.md | 4 ++-- inst/doc/nigeria-maps.html | 24 ++++++++++++------------ tests/testthat/test-isregion.R | 18 +++++++++++++----- tests/testthat/test-mobile.R | 4 ++-- 8 files changed, 57 insertions(+), 35 deletions(-)
Title: Monte Carlo Data Simulation Package
Description: Monte Carlo simulation allows to test different conditions given to the correct structural equation models. This package runs Monte Carlo simulations under different conditions (such as sample size or normality of data). Within the package data sets can be simulated and run based on the given model.
First, continuous and normal data sets are generated based on the given model. Later Fleishman's power method (1978) <DOI:10.1007/BF02293811> is used to add non-normality if exists.
When data generation is completed (or when generated data sets are given) model test can also be run.
Author: Fatih Orcan [aut, cre] (<https://orcid.org/0000-0003-1727-0456>)
Maintainer: Fatih Orcan <fatihorcan84@gmail.com>
Diff between MonteCarloSEM versions 0.0.2 dated 2021-04-22 and 0.0.3 dated 2021-10-20
MonteCarloSEM-0.0.2/MonteCarloSEM/R/sim_CFA_Normal.R |only MonteCarloSEM-0.0.2/MonteCarloSEM/R/sim_CFA_Skewed.R |only MonteCarloSEM-0.0.3/MonteCarloSEM/DESCRIPTION | 6 +++--- MonteCarloSEM-0.0.3/MonteCarloSEM/MD5 | 14 ++++++++------ MonteCarloSEM-0.0.3/MonteCarloSEM/NAMESPACE | 1 + MonteCarloSEM-0.0.3/MonteCarloSEM/R/sim_Categoric.R |only MonteCarloSEM-0.0.3/MonteCarloSEM/R/sim_Normal.R |only MonteCarloSEM-0.0.3/MonteCarloSEM/R/sim_Skewed.R |only MonteCarloSEM-0.0.3/MonteCarloSEM/man/sim.categoric.Rd |only MonteCarloSEM-0.0.3/MonteCarloSEM/man/sim.normal.Rd | 2 +- MonteCarloSEM-0.0.3/MonteCarloSEM/man/sim.skewed.Rd | 2 +- 11 files changed, 14 insertions(+), 11 deletions(-)
Title: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via
Logistic and Multinomial Regression
Description: Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple
competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms
of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the
fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival
curves for a given covariate profile. This approach accommodates any log-linear hazard function of
prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide
a plot method for visualizing incidence density via population time plots. Based on the case-base sampling
approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>,
and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.
Author: Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/),
Maxime Turgeon [aut] (<https://orcid.org/0000-0003-4863-6035>),
Jesse Islam [aut] (https://www.jesseislam.com/),
Olli Saarela [aut] (http://individual.utoronto.ca/osaarela/),
James Hanley [aut] (http://www.medicine.mcgill.ca/epidemiology/hanley/)
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>
Diff between casebase versions 0.9.1 dated 2021-02-07 and 0.10.1 dated 2021-10-20
DESCRIPTION | 12 MD5 | 87 +- NAMESPACE | 3 NEWS.md | 7 R/absoluteRisk-cr.R | 6 R/absoluteRisk.R | 18 R/confint.R |only R/data.R | 3 R/estimate_hazard.R | 26 R/fitting.R | 122 +-- R/plot_methods.R | 3 R/utils.R | 13 README.md | 86 +- build/partial.rdb |binary build/vignette.rds |binary data/ERSPC.rda |binary inst/doc/competingRisk.html | 489 ++++---------- inst/doc/customizingpopTime.html | 627 ++++++------------ inst/doc/plotabsRisk.html | 392 ++--------- inst/doc/plotsmoothHazard.html | 1047 ++++++++++++------------------- inst/doc/popTime.html | 626 ++++++------------ inst/doc/smoothHazard.html | 494 ++++---------- man/ERSPC.Rd | 3 man/absoluteRisk.Rd | 3 man/confint.absRiskCB.Rd |only man/figures/README-plot-mason-1.png |binary man/figures/README-unnamed-chunk-2-1.png |binary man/figures/README-unnamed-chunk-3-1.png |binary man/figures/README-unnamed-chunk-4-1.png |binary man/fitSmoothHazard.Rd | 26 tests/testthat/Rplots.pdf |binary tests/testthat/test-absRisk.R | 2 tests/testthat/test-absRiskComp.R | 2 tests/testthat/test-confint.R |only tests/testthat/test-fitting.R | 2 tests/testthat/test-fittingComp.R | 22 tests/testthat/test-gam.R | 2 tests/testthat/test-gbm.R | 3 tests/testthat/test-glmnet.R | 3 tests/testthat/test-matrix.R | 2 tests/testthat/test-plotHazard.R | 35 - tests/testthat/test-plotSingleEventCB.R | 40 - tests/testthat/test-plotabsRiskCB.R | 2 tests/testthat/test-popTime.R | 2 tests/testthat/test-sampling.R | 2 vignettes/popTime.Rmd | 23 46 files changed, 1554 insertions(+), 2681 deletions(-)
Title: Misc Extensions for the 'SPOT' Package
Description: Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'.
It provides tools for hyperparameter tuning via 'keras/tensorflow', interfacing 'mlr', for performing Markov chain simulations,
and for sensitivity analysis based on sequential bifurcation methods as described in Bettonvil and Kleijnen (1996).
Furthermore, additional plotting functions for output from 'SPOT' runs are implemented.
Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) <doi:10.1109/CEC.2005.1554761>.
Bartz-Beielstein T, Zaefferer M, Rehbach F (2021) <arXiv:1712.04076>.
Bartz-Beielstein T, Rehbach F, Sen A, Zaefferer M <arXiv:2105.14625>.
Bettonvil, B, Kleijnen JPC (1996) <doi:10.1016/S0377-2217(96)00156-7>.
Author: Thomas Bartz-Beielstein [aut, cre]
(<https://orcid.org/0000-0002-5938-5158>),
Martin Zaefferer [aut] (<https://orcid.org/0000-0003-2372-2092>),
Frederik Rehbach [aut] (<https://orcid.org/0000-0003-0922-8629>)
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>
Diff between SPOTMisc versions 1.2.11 dated 2021-08-04 and 1.2.18 dated 2021-10-20
DESCRIPTION | 10 +++--- MD5 | 22 ++++++++----- NAMESPACE | 5 +++ NEWS.md | 21 ++++++++++++ R/funKerasMnist.R | 77 +++++++++++++++++++++++------------------------ R/mlrTools.R | 15 +++++++++ R/resKerasMnist02.R |only R/spotPlot.R |only data/resKerasMnist02.rda |only man/evalKerasMnist.Rd | 16 +++------ man/funKerasMnist.Rd | 19 ++++------- man/getKerasConf.Rd | 36 ++++++++++++++------- man/resKerasMnist02.Rd |only man/spotPlot.Rd |only man/trans_1minus10pow.Rd |only 15 files changed, 135 insertions(+), 86 deletions(-)
Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Margot Herin, Marouane Il Idrissi, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Vanessa Verges, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>
Diff between sensitivity versions 1.26.1 dated 2021-09-02 and 1.27.0 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 20 +++++++++++--------- NAMESPACE | 6 ++++++ NEWS | 6 ++++++ R/pme.R |only man/PLI.Rd | 34 ++++++++++++++++++++++++---------- man/emvd.Rd | 9 +++++---- man/lmg.Rd | 10 ++++------ man/pme.Rd |only man/sensitivity-package.Rd | 18 ++++++++---------- man/shapleysobol_knn.Rd | 2 +- man/sobolSmthSpl.Rd | 2 +- 12 files changed, 70 insertions(+), 45 deletions(-)
Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotR versions 4.1 dated 2021-07-09 and 4.2 dated 2021-10-20
IsoplotR-4.1/IsoplotR/R/UThPb.R |only IsoplotR-4.2/IsoplotR/DESCRIPTION | 8 IsoplotR-4.2/IsoplotR/MD5 | 36 +-- IsoplotR-4.2/IsoplotR/R/UPb.R | 107 ++++++--- IsoplotR-4.2/IsoplotR/R/age.R | 18 - IsoplotR-4.2/IsoplotR/R/ci.R | 12 - IsoplotR-4.2/IsoplotR/R/commonPb.R | 10 IsoplotR-4.2/IsoplotR/R/concordia.R | 36 --- IsoplotR-4.2/IsoplotR/R/discordia.R | 57 ++-- IsoplotR-4.2/IsoplotR/R/diseq.R | 2 IsoplotR-4.2/IsoplotR/R/io.R | 22 + IsoplotR-4.2/IsoplotR/R/isochron.R | 253 +++++++++++---------- IsoplotR-4.2/IsoplotR/R/ludwig.R | 385 +++++++++++++++++---------------- IsoplotR-4.2/IsoplotR/R/ludwig2d.R |only IsoplotR-4.2/IsoplotR/R/regression.R | 4 IsoplotR-4.2/IsoplotR/R/toolbox.R | 9 IsoplotR-4.2/IsoplotR/man/age2ratio.Rd | 18 - IsoplotR-4.2/IsoplotR/man/concordia.Rd | 4 IsoplotR-4.2/IsoplotR/man/isochron.Rd | 8 IsoplotR-4.2/IsoplotR/man/read.data.Rd | 4 20 files changed, 544 insertions(+), 449 deletions(-)
Title: Load Data from 'MyTarget API v2 and v3'
Description: Allows work with 'MyTarget Statistics API v2'
<https://target.my.com/adv/api-marketing/doc/stat-v2> and
'MyTarget Statistics API v3' <https://target.my.com/adv/api-marketing/doc/stat-v2#statisticsv3>
load data by ads, campaigns, agency clients and statistic from
your ads account.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>),
Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rmytarget versions 2.3.1 dated 2021-09-08 and 2.4.0 dated 2021-10-20
DESCRIPTION | 15 MD5 | 56 ++- NAMESPACE | 10 NEWS.md | 18 + R/myTarAuth.R | 62 +++- R/myTarGetAdList.R | 20 + R/myTarGetCampaignList.R | 20 + R/myTarGetClientList.R | 18 + R/myTarGetFastStats.R |only R/myTarGetGoalList.R | 14 R/myTarGetGoalsStats.R | 14 R/myTarGetInAppStats.R |only R/myTarGetOfflineConversionsStats.R |only R/myTarGetStats.R | 498 +++++++++++++++++++++++++++------ R/myTarRefreshToken.R | 15 R/zzz.R | 27 + build/partial.rdb |binary inst/doc/rmytarget-auth.html | 4 inst/doc/rmytarget-intro.html | 4 man/myTarAuth.Rd | 95 +++--- man/myTarGetAdList.Rd | 40 +- man/myTarGetCampaignList.Rd | 40 +- man/myTarGetClientList.Rd | 65 ++-- man/myTarGetFastStats.Rd |only man/myTarGetGoalList.Rd | 60 +-- man/myTarGetGoalsStats.Rd | 103 +++--- man/myTarGetInAppStats.Rd |only man/myTarGetOfflineConversionsStats.Rd |only man/myTarGetStats.Rd | 475 ++++++++++++++++--------------- man/myTarRefreshToken.Rd | 57 +-- man/myTarSetLogin.Rd |only man/myTarSetTokenPath.Rd |only man/rmytarget-package.Rd | 4 33 files changed, 1147 insertions(+), 587 deletions(-)
Title: Interactive Bipartite Graphs
Description: Generates interactive bipartite graphs using the D3 library.
Designed for use with the 'bipartite' analysis package.
Sources open source 'viz-js' library
Adapted from examples at <https://bl.ocks.org/NPashaP> (released under GPL-3).
Author: Chris Terry [aut, cre]
Maintainer: Chris Terry <christerry3@btinternet.com>
Diff between bipartiteD3 versions 0.2.0 dated 2019-03-28 and 0.3.0 dated 2021-10-20
DESCRIPTION | 11 MD5 | 34 NEWS.md | 6 R/BP_JS_Writer.R | 61 - R/LoadVisJS.R | 4 R/bipartiteD3-package.r | 3 R/bipartite_D3.r | 3 build/vignette.rds |binary inst/doc/bipartiteD3_Intro.R | 35 inst/doc/bipartiteD3_Intro.Rmd | 11 inst/doc/bipartiteD3_Intro.html | 2196 +++------------------------------------- man/Array2DF.Rd | 8 man/BP_JS_Writer.Rd | 44 man/List2DF.Rd | 8 man/Matrix2DF.Rd | 8 man/bipartiteD3.Rd | 5 man/bipartite_D3.Rd | 40 vignettes/bipartiteD3_Intro.Rmd | 11 18 files changed, 334 insertions(+), 2154 deletions(-)
Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo
standard errors of commonly used summary statistics. This package is modelled
on the 'simsum' user-written command in 'Stata' (White I.R., 2010
<https://www.stata-journal.com/article.html?article=st0200>), further extending
it with additional functionality.
Author: Alessandro Gasparini [aut, cre]
(<https://orcid.org/0000-0002-8319-7624>),
Ian R. White [aut]
Maintainer: Alessandro Gasparini <alessandro.gasparini@ki.se>
Diff between rsimsum versions 0.10.1 dated 2021-07-05 and 0.11.0 dated 2021-10-20
DESCRIPTION | 10 ++--- MD5 | 55 ++++++++++++++++---------------- NEWS.md | 19 +++++++++++ R/autoplot.multisimsum.R | 3 - R/autoplot.simsum.R | 2 - R/autoplot.summary.multisimsum.R | 3 - R/data.R | 21 ++++++++++-- R/print.summary.multisimsum.R | 19 ++++++++--- R/print.summary.simsum.R | 7 ++++ README.md | 2 - build/partial.rdb |binary build/vignette.rds |binary inst/doc/A-introduction.html | 6 +-- inst/doc/B-relhaz.html | 4 +- inst/doc/C-plotting.R | 6 +-- inst/doc/C-plotting.Rmd | 6 +-- inst/doc/C-plotting.html | 12 +++--- inst/doc/D-nlp.html | 4 +- inst/doc/E-custom-inputs.html | 8 ++-- inst/doc/F-rsimsumtidyverse.html | 4 +- man/MIsim.Rd | 10 +++++ man/autoplot.multisimsum.Rd | 3 - man/autoplot.simsum.Rd | 2 - man/autoplot.summary.multisimsum.Rd | 3 - man/frailty.Rd | 5 ++ man/relhaz.Rd | 6 ++- tests/testthat/test-invisible-returns.R |only tests/testthat/test-multisimsum.R | 5 -- vignettes/C-plotting.Rmd | 6 +-- 29 files changed, 143 insertions(+), 88 deletions(-)
Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and
the second edition of "Numerical Methods and Optimization
in Finance" by M. Gilli, D. Maringer and E. Schumann
(2019, ISBN:978-0128150658). The package provides
implementations of optimisation heuristics (Differential
Evolution, Genetic Algorithms, Particle Swarm
Optimisation, Simulated Annealing and Threshold
Accepting), and other optimisation tools, such as grid
search and greedy search. There are also functions for
the valuation of financial instruments such as bonds and
options, for portfolio selection and functions that help
with stochastic simulations.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>
Diff between NMOF versions 2.4-1 dated 2021-04-10 and 2.5-0 dated 2021-10-20
DESCRIPTION | 16 +++--- MD5 | 93 ++++++++++++++++++----------------- NAMESPACE | 3 - NEWS | 10 +++ R/TAopt.R | 3 - R/gridSearch.R | 2 R/market_data.R | 64 ++++++++++++++++++++++-- R/portfolio.R | 4 - R/showExample.R | 16 +++--- build/partial.rdb |binary build/vignette.rds |binary inst/doc/An_overview.pdf |binary inst/doc/DEnss.R | 2 inst/doc/DEnss.Rnw | 2 inst/doc/DEnss.pdf |binary inst/doc/LSqueens.R | 10 +-- inst/doc/LSqueens.Rnw | 30 +++++------ inst/doc/LSqueens.pdf |binary inst/doc/LSselect.pdf |binary inst/doc/PSlms.pdf |binary inst/doc/TAportfolio.pdf |binary inst/doc/portfolio.pdf |binary inst/doc/qTableEx.R | 2 inst/doc/qTableEx.Rnw | 2 inst/doc/qTableEx.pdf |binary inst/doc/repair.R | 10 +-- inst/doc/repair.Rnw | 18 +++--- inst/doc/repair.pdf |binary inst/doc/vectorise.pdf |binary inst/tinytest/test_French.R | 17 +++++- inst/tinytest/test_Ritter.R |only inst/tinytest/test_gridSearch.R |only inst/unitTests/runTests.R | 2 inst/unitTests/test_results.txt | 34 ++++++------ inst/unitTests/unitTestsBonds.R | 6 +- inst/unitTests/unitTestsDEopt.R | 10 +-- inst/unitTests/unitTestsOptions.R | 14 ++--- inst/unitTests/unitTestsRestartOpt.R | 2 inst/unitTests/unitTestscallCF.R | 4 - man/LSopt.Rd | 10 +-- man/MA.Rd | 6 +- man/NMOF-package.Rd | 8 +-- man/Ritter.Rd |only man/gridSearch.Rd | 31 ++++++++++- man/mc.Rd | 12 ++-- vignettes/DEnss.Rnw | 2 vignettes/LSqueens.Rnw | 30 +++++------ vignettes/qTableEx.Rnw | 2 vignettes/repair.Rnw | 18 +++--- 49 files changed, 301 insertions(+), 194 deletions(-)
Title: Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data
manipulation and visualization. Read/write 'las' and 'laz' files, computation
of metrics in area based approach, point filtering, artificial point reduction,
classification from geographic data, normalization, individual tree segmentation
and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph],
David Auty [aut, ctb] (Reviews the documentation),
Florian De Boissieu [ctb] (Fixed bugs and improved catalog features),
Andrew Sánchez Meador [ctb] (Implemented wing2015() for
segment_snags()),
Bourdon Jean-François [ctb] (Contributed to Roussel2020() for
track_sensor()),
Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for
track_sensor()),
Leon Steinmeier [ctb] (Contributed to parallelization management),
Stanislaw Adaszewski [cph] (Author of the C++ concaveman code)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>
Diff between lidR versions 3.2.1 dated 2021-09-29 and 3.2.2 dated 2021-10-20
DESCRIPTION | 7 +++---- MD5 | 18 +++++++++--------- NEWS.md | 9 ++++++++- R/las_check.R | 6 +++--- R/methods-LAS.R | 2 +- README.md | 2 +- man/las_check.Rd | 5 ++--- src/LAS.cpp | 39 +++++++++++++++++++++------------------ src/LAS.h | 4 ++++ tests/testthat/Rplots.pdf |binary 10 files changed, 52 insertions(+), 40 deletions(-)
Title: Functions for Diffusing Function Documentations into 'Roxygen'
Comments
Description: Efficient diffusing of content across function documentations. Sections, parameters or dot parameters are extracted from function documentations and turned into valid Rd character strings, which are ready to diffuse into the 'roxygen' comments of another function by inserting inline code.
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>
Diff between roclang versions 0.1.0 dated 2021-08-04 and 0.1.2 dated 2021-10-20
roclang-0.1.0/roclang/R/roc_functions.R |only roclang-0.1.2/roclang/DESCRIPTION | 12 - roclang-0.1.2/roclang/MD5 | 20 +- roclang-0.1.2/roclang/NAMESPACE | 1 roclang-0.1.2/roclang/NEWS.md |only roclang-0.1.2/roclang/R/package-roclang.R |only roclang-0.1.2/roclang/R/roc_eval_functions.R |only roclang-0.1.2/roclang/R/roc_text_functions.R |only roclang-0.1.2/roclang/README.md | 98 ++++++----- roclang-0.1.2/roclang/man/extract_roc_text.Rd | 66 ++++--- roclang-0.1.2/roclang/man/roc_eval_text.Rd | 4 roclang-0.1.2/roclang/man/roclang-package.Rd |only roclang-0.1.2/roclang/tests/testthat/test-extract_roc_text.R | 74 ++++++++ roclang-0.1.2/roclang/tests/testthat/test-roc_eval_text.R | 2 14 files changed, 202 insertions(+), 75 deletions(-)
Title: Pena-Yohai Initial Estimator for Robust S-Regression
Description: Deterministic Pena-Yohai initial estimator for robust S estimators
of regression. The procedure is described in detail in
Pena, D., & Yohai, V. (1999) <doi:10.2307/2670164>.
Author: David Kepplinger [aut, cre],
Matias Salibian-Barrera [aut],
Gabriela Cohen Freue [aut]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>
Diff between pyinit versions 1.1.1 dated 2020-12-01 and 1.1.2 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 5 +++++ src/fastPY.c | 1 + src/mscale.c | 2 +- src/psc.c | 2 +- tests/testthat.R | 10 ++++++---- 7 files changed, 24 insertions(+), 16 deletions(-)
Title: Circle Manhattan Plot
Description: Manhattan plot, a type of scatter plot, was widely used to display the association results. However, it is usually time-consuming and laborious for a non-specialist user to write scripts and adjust parameters of an elaborate plot. Moreover, the ever-growing traits measured have necessitated the integration of results from different Genome-wide association study researches. Circle Manhattan Plot is the first open R package that can lay out. Genome-wide association study P-value results in both traditional rectangular patterns, QQ-plot and novel circular ones. United in only one bull's eye style plot, association results from multiple traits can be compared interactively, thereby to reveal both similarities and differences between signals. Additional functions include: highlight signals, a group of SNPs, chromosome visualization and candidate genes around SNPs.
Author: LiLin-Yin
Maintainer: LiLin-Yin <ylilin@163.com>
Diff between CMplot versions 3.6.2 dated 2020-06-30 and 3.7.0 dated 2021-10-20
DESCRIPTION | 8 - MD5 | 6 R/CMplot.r | 313 +++++++++++++++++++++++++++----------------------- man/CMplot-package.Rd | 4 4 files changed, 182 insertions(+), 149 deletions(-)
Title: Causal Inference for Multiple Treatments with a Binary Outcome
Description: Different methods to conduct causal inference for multiple treatments with a binary outcome, including regression adjustment, vector matching, Bayesian additive regression trees, targeted maximum likelihood and inverse probability of treatment weighting using different generalized propensity score models such as multinomial logistic regression, generalized boosted models and super learner. For more details, see the paper by Hu et al. <doi:10.1177/0962280220921909>.
Author: Liangyuan Hu [aut],
Chenyang Gu [aut],
Michael Lopez [aut],
Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <Jiayi.Ji@mountsinai.org>
Diff between CIMTx versions 0.3.0 dated 2021-07-16 and 1.0.0 dated 2021-10-20
CIMTx-0.3.0/CIMTx/R/bart_multiTrt.R |only CIMTx-0.3.0/CIMTx/R/bart_multiTrt_ate.R |only CIMTx-0.3.0/CIMTx/R/bart_multiTrt_att.R |only CIMTx-0.3.0/CIMTx/R/causal_multi_treat.R |only CIMTx-0.3.0/CIMTx/R/data_gen.R |only CIMTx-0.3.0/CIMTx/R/data_gen_p1.R |only CIMTx-0.3.0/CIMTx/R/data_gen_p2.R |only CIMTx-0.3.0/CIMTx/R/expit.R |only CIMTx-0.3.0/CIMTx/R/global.R |only CIMTx-0.3.0/CIMTx/R/iptw_multiTrt.R |only CIMTx-0.3.0/CIMTx/R/iptw_multiTrt_ate.R |only CIMTx-0.3.0/CIMTx/R/iptw_multiTrt_att.R |only CIMTx-0.3.0/CIMTx/R/postSumm.R |only CIMTx-0.3.0/CIMTx/R/readj_multiTrt.R |only CIMTx-0.3.0/CIMTx/R/readj_multiTrt_att.R |only CIMTx-0.3.0/CIMTx/R/regadj_multiTrt_ate.R |only CIMTx-0.3.0/CIMTx/R/tmle.R |only CIMTx-0.3.0/CIMTx/R/vm_multiTrt_att.R |only CIMTx-0.3.0/CIMTx/man/bart_multiTrt.Rd |only CIMTx-0.3.0/CIMTx/man/bart_multiTrt_ate.Rd |only CIMTx-0.3.0/CIMTx/man/bart_multiTrt_att.Rd |only CIMTx-0.3.0/CIMTx/man/causal_multi_treat.Rd |only CIMTx-0.3.0/CIMTx/man/data_gen.Rd |only CIMTx-0.3.0/CIMTx/man/data_gen_p1.Rd |only CIMTx-0.3.0/CIMTx/man/data_gen_p2.Rd |only CIMTx-0.3.0/CIMTx/man/expit.Rd |only CIMTx-0.3.0/CIMTx/man/iptw_multiTrt.Rd |only CIMTx-0.3.0/CIMTx/man/iptw_multiTrt_ate.Rd |only CIMTx-0.3.0/CIMTx/man/iptw_multiTrt_att.Rd |only CIMTx-0.3.0/CIMTx/man/postSumm.Rd |only CIMTx-0.3.0/CIMTx/man/regadj_multiTrt.Rd |only CIMTx-0.3.0/CIMTx/man/regadj_multiTrt_ate.Rd |only CIMTx-0.3.0/CIMTx/man/regadj_multiTrt_att.Rd |only CIMTx-0.3.0/CIMTx/man/tmle.Rd |only CIMTx-0.3.0/CIMTx/man/vm_multiTrt_att.Rd |only CIMTx-1.0.0/CIMTx/DESCRIPTION | 13 +-- CIMTx-1.0.0/CIMTx/MD5 | 85 +++++++++++---------- CIMTx-1.0.0/CIMTx/NAMESPACE | 38 +++++---- CIMTx-1.0.0/CIMTx/R/ce_estimate.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_bart_ate.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_bart_att.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_iptw_ate.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_iptw_ate_boot.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_iptw_att.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_iptw_att_boot.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_ra_ate.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_ra_att.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_rams_ate.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_rams_ate_boot.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_rams_att.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_rams_att_boot.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_tmle_ate.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_vm_att.R |only CIMTx-1.0.0/CIMTx/R/ce_estimate_vm_att_boot.R |only CIMTx-1.0.0/CIMTx/R/covariate_overlap.R |only CIMTx-1.0.0/CIMTx/R/data_sim.R |only CIMTx-1.0.0/CIMTx/R/logit.R |only CIMTx-1.0.0/CIMTx/R/plot_boxplot.R |only CIMTx-1.0.0/CIMTx/R/plot_contour.R |only CIMTx-1.0.0/CIMTx/R/posterior_summary.R |only CIMTx-1.0.0/CIMTx/R/sa.R |only CIMTx-1.0.0/CIMTx/R/trunc_fun.R | 25 +++--- CIMTx-1.0.0/CIMTx/man/ce_estimate.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_bart_ate.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_bart_att.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_iptw_ate.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_iptw_att.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_ra_ate.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_ra_att.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_rams_ate.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_rams_ate_boot.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_rams_att.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_tmle_ate.Rd |only CIMTx-1.0.0/CIMTx/man/ce_estimate_vm_att.Rd |only CIMTx-1.0.0/CIMTx/man/covariate_overlap.Rd |only CIMTx-1.0.0/CIMTx/man/data_sim.Rd |only CIMTx-1.0.0/CIMTx/man/logit.Rd |only CIMTx-1.0.0/CIMTx/man/plot_boxplot.Rd |only CIMTx-1.0.0/CIMTx/man/plot_contour.Rd |only CIMTx-1.0.0/CIMTx/man/posterior_summary.Rd |only CIMTx-1.0.0/CIMTx/man/sa.Rd |only CIMTx-1.0.0/CIMTx/man/trunc_fun.Rd | 15 +-- 82 files changed, 95 insertions(+), 81 deletions(-)
Title: Access, Retrieve, and Work with Canadian Census Data and
Geography
Description: Integrated, convenient, and uniform access to Canadian
Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready
tidy data frames and spatial data in multiple formats, as well as convenience functions
for working with Census variables, variable hierarchies, and region selection. API
keys are freely available with free registration at <https://censusmapper.ca/api>.
Census data and boundary geometries are reproduced and distributed on an "as
is" basis with the permission of Statistics Canada (Statistics Canada 2001; 2006;
2011; 2016).
Author: Jens von Bergmann [aut] (API creator and maintainer),
Dmitry Shkolnik [aut, cre] (Package maintainer, responsible for
correspondence),
Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>
Diff between cancensus versions 0.4.4 dated 2021-10-19 and 0.4.5 dated 2021-10-20
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 5 +++++ R/census_vectors.R | 3 ++- inst/doc/Making_maps_with_cancensus.html | 8 ++++---- 5 files changed, 18 insertions(+), 12 deletions(-)
Title: Automatic Time Series Analysis and Forecasting Using the Ata
Method
Description: The Ata method (Yapar et al. (2019) <doi:10.15672/hujms.461032>), an alternative to exponential smoothing (described in Yapar (2016) <doi:10.15672/HJMS.201614320580>,
Yapar et al. (2017) <doi:10.15672/HJMS.2017.493>), is a new univariate time series forecasting method which provides innovative solutions to issues faced during the
initialization and optimization stages of existing forecasting methods. Forecasting performance of the Ata method is superior to existing methods both in terms of easy
implementation and accurate forecasting. It can be applied to non-seasonal or seasonal time series which can be decomposed into four components (remainder, level, trend
and seasonal). This methodology performed well on the M3 and M4-competition data. This package was written based on Ali Sabri Taylan’s PhD dissertation.
Author: Ali Sabri Taylan [aut, cre, cph]
(<https://orcid.org/0000-0001-9514-934X>),
Hanife Taylan Selamlar [aut, cph]
(<https://orcid.org/0000-0002-4091-884X>),
Guckan Yapar [aut, ths, cph] (<https://orcid.org/0000-0002-0971-6676>)
Maintainer: Ali Sabri Taylan <alisabritaylan@gmail.com>
Diff between ATAforecasting versions 0.0.53 dated 2021-10-11 and 0.0.54 dated 2021-10-20
ATAforecasting-0.0.53/ATAforecasting/R/SubATA_Accuracy.R |only ATAforecasting-0.0.53/ATAforecasting/R/SubATA_Accuracy_Holdin.R |only ATAforecasting-0.0.53/ATAforecasting/R/SubATA_Accuracy_Holdout.R |only ATAforecasting-0.0.53/ATAforecasting/man/ATA.plot.Rd |only ATAforecasting-0.0.53/ATAforecasting/man/ATA.print.Rd |only ATAforecasting-0.0.53/ATAforecasting/man/figures |only ATAforecasting-0.0.53/ATAforecasting/man/ndiffs.tseries.Rd |only ATAforecasting-0.0.53/ATAforecasting/man/stR_seasadj.Rd |only ATAforecasting-0.0.54/ATAforecasting/DESCRIPTION | 10 ATAforecasting-0.0.54/ATAforecasting/MD5 | 79 ATAforecasting-0.0.54/ATAforecasting/NAMESPACE | 150 - ATAforecasting-0.0.54/ATAforecasting/R/ATA.R | 1495 +++++----- ATAforecasting-0.0.54/ATAforecasting/R/ATA_Accuracy.R | 450 +-- ATAforecasting-0.0.54/ATAforecasting/R/ATA_BoxCoxAttributes.r | 8 ATAforecasting-0.0.54/ATAforecasting/R/ATA_CI.r | 7 ATAforecasting-0.0.54/ATAforecasting/R/ATA_Core.R | 529 +-- ATAforecasting-0.0.54/ATAforecasting/R/ATA_Decomposition.r | 66 ATAforecasting-0.0.54/ATAforecasting/R/ATA_Forecast.R | 281 - ATAforecasting-0.0.54/ATAforecasting/R/ATA_SeasAttributes.R | 4 ATAforecasting-0.0.54/ATAforecasting/R/ATA_Seasonality.r | 46 ATAforecasting-0.0.54/ATAforecasting/R/ATA_Shift.r | 46 ATAforecasting-0.0.54/ATAforecasting/R/ATAforecasting-package.R | 5 ATAforecasting-0.0.54/ATAforecasting/R/RcppExports.R | 20 ATAforecasting-0.0.54/ATAforecasting/R/SubATA_Damped.R | 16 ATAforecasting-0.0.54/ATAforecasting/R/SubATA_Forecast.R | 109 ATAforecasting-0.0.54/ATAforecasting/R/SubATA_Multiple.R | 721 ++-- ATAforecasting-0.0.54/ATAforecasting/R/SubATA_MultipleO.R | 735 ++-- ATAforecasting-0.0.54/ATAforecasting/R/SubATA_Single.R | 359 +- ATAforecasting-0.0.54/ATAforecasting/R/SubATA_SingleO.R | 366 +- ATAforecasting-0.0.54/ATAforecasting/README.md | 17 ATAforecasting-0.0.54/ATAforecasting/build/partial.rdb |binary ATAforecasting-0.0.54/ATAforecasting/inst/REFERENCES.bib | 6 ATAforecasting-0.0.54/ATAforecasting/man/ATA.Accuracy.Rd | 15 ATAforecasting-0.0.54/ATAforecasting/man/ATA.BoxCoxAttr.Rd | 4 ATAforecasting-0.0.54/ATAforecasting/man/ATA.Forecast.Rd | 11 ATAforecasting-0.0.54/ATAforecasting/man/ATA.Plot.Rd |only ATAforecasting-0.0.54/ATAforecasting/man/ATA.Print.Rd |only ATAforecasting-0.0.54/ATAforecasting/man/ATA.Rd | 31 ATAforecasting-0.0.54/ATAforecasting/man/ATA.SeasAttr.Rd | 2 ATAforecasting-0.0.54/ATAforecasting/man/ATA.Seasonality.Rd | 2 ATAforecasting-0.0.54/ATAforecasting/man/ATA.Shift.Rd | 6 ATAforecasting-0.0.54/ATAforecasting/man/ATA.Shift_Mat.Rd |only ATAforecasting-0.0.54/ATAforecasting/man/ATAforecasting-package.Rd | 28 ATAforecasting-0.0.54/ATAforecasting/src/ATA.cpp | 436 +- ATAforecasting-0.0.54/ATAforecasting/src/ATAforecasting_init.c | 32 ATAforecasting-0.0.54/ATAforecasting/src/RcppExports.cpp | 106 46 files changed, 3206 insertions(+), 2992 deletions(-)
More information about ATAforecasting at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-09-27 1.0-2
2018-04-12 1.0-1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2018-06-27 2.0
2017-09-01 1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-16 1.2.6
2021-07-15 1.2.5
2021-04-18 1.2.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-07-21 1.4.3
2021-03-28 1.4.1
2021-03-15 1.4.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-04-03 4.0.0
2020-07-03 3.2.0
2020-01-10 3.0.0
2019-05-30 2.0.0
2018-12-09 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-05 0.3.3
2021-08-05 0.3.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2012-12-05 0.3-5
2012-04-03 0.3-4
2011-10-03 0.3-3
2010-08-27 0.3-2
2010-07-25 0.3-1
2007-08-27 0.2-5
Title: An L1-Version of the Spectral Clustering
Description: Provides an l1-version of the spectral clustering algorithm devoted to robustly clustering highly perturbed graphs using l1-penalty. This algorithm is described with more details in the preprint C. Champion, M. Champion, M. Blazère, R. Burcelin and J.M. Loubes, "l1-spectral clustering algorithm: a robust spectral clustering using Lasso regularization" (2021).
Author: Camille Champion [aut],
Magali Champion [aut, cre]
Maintainer: Magali Champion <magali.champion@u-paris.fr>
Diff between l1spectral versions 0.99.2 dated 2021-03-16 and 0.99.4 dated 2021-10-20
DESCRIPTION | 10 ++--- MD5 | 32 ++++++++--------- NAMESPACE | 9 +++-- R/ComputePerformances.R | 29 ++++++++++------ R/CreateDataSet.R | 17 +++++---- R/FindNbrClusters.R | 62 +++++++++++++++++----------------- R/FindStructure.R | 2 - R/PenOpt.R | 77 ++++++++++++++++++++++++++----------------- R/l1_spectral.R | 23 ++++++------ R/l1_spectralclustering.R | 14 ++++--- build/partial.rdb |binary man/ComputePerformances.Rd | 12 +++++- man/PenOpt.Rd | 4 +- man/l1_spectral.Rd | 5 -- man/l1_spectralclustering.Rd | 12 +++--- man/l1spectral-package.Rd | 15 ++++---- src/RcppExports.cpp | 5 ++ 17 files changed, 187 insertions(+), 141 deletions(-)
More information about MixtureMissing at CRAN
Permanent link
Title: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum
Likelihood Estimation
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels.
Author: Emmanuel Sikali [pdr],
Paul Bailey [aut, cre],
Claire Kelley [aut],
Trang Nguyen [aut],
Huade Huo [aut],
Eric Buehler [ctb],
Christian Kjeldsen [ctb]
Maintainer: Paul Bailey <pbailey@air.org>
Diff between WeMix versions 3.1.8 dated 2021-06-06 and 3.1.9 dated 2021-10-20
DESCRIPTION | 8 +-- MD5 | 16 +++---- NAMESPACE | 1 R/adaptiveQuad.R | 4 + R/analyticSolve.R | 24 +++++------ inst/NEWS.Rd | 11 ++++- inst/doc/Introduction_to_Mixed_Effects_Models_With_WeMix.pdf |binary inst/doc/Weighted_Linear_Mixed_Effects_Models.pdf |binary tests/testthat/test-1-main.R | 5 +- 9 files changed, 43 insertions(+), 26 deletions(-)
Title: Tensor Regression with Envelope Structure
Description: Provides three estimators for tensor response regression (TRR) and tensor predictor regression (TPR) models with tensor envelope structure. The three types of estimation approaches are generic and can be applied to any envelope estimation problems. The full Grassmannian (FG) optimization is often associated with likelihood-based estimation but requires heavy computation and good initialization; the one-directional optimization approaches (1D and ECD algorithms) are faster, stable and does not require carefully chosen initial values; the SIMPLS-type is motivated by the partial least squares regression and is computationally the least expensive. For details of TRR, see Li L, Zhang X (2017) <doi:10.1080/01621459.2016.1193022>. For details of TPR, see Zhang X, Li L (2017) <doi:10.1080/00401706.2016.1272495>. For details of 1D algorithm, see Cook RD, Zhang X (2016) <doi:10.1080/10618600.2015.1029577>. For details of ECD algorithm, see Cook RD, Zhang X (2018) <doi:10.5705/ss.202016.0037>. For more details of the package, see Zeng J, Wang W, Zhang X (2021) <doi:10.18637/jss.v099.i12>.
Author: Wenjing Wang [aut],
Jing Zeng [aut, cre],
Xin Zhang [aut]
Maintainer: Jing Zeng <jing.zeng@stat.fsu.edu>
Diff between TRES versions 1.1.4 dated 2021-06-25 and 1.1.5 dated 2021-10-20
TRES-1.1.4/TRES/data/datalist |only TRES-1.1.5/TRES/DESCRIPTION | 12 +-- TRES-1.1.5/TRES/MD5 | 21 +++--- TRES-1.1.5/TRES/NEWS.md | 6 + TRES-1.1.5/TRES/R/1Dfunctions.R | 95 ++++++++++++++++-------------- TRES-1.1.5/TRES/R/OptStiefelGBB.R | 83 +++++++++++++++----------- TRES-1.1.5/TRES/R/TRES-package.R | 11 ++- TRES-1.1.5/TRES/README.md | 16 ++--- TRES-1.1.5/TRES/inst |only TRES-1.1.5/TRES/man/OptStiefelGBB.Rd | 32 ++++++---- TRES-1.1.5/TRES/man/TRES-package.Rd | 10 +-- TRES-1.1.5/TRES/man/TRRdim.Rd | 2 TRES-1.1.5/TRES/man/figures/TRES_logo.png |only 13 files changed, 166 insertions(+), 122 deletions(-)
Title: Spatial Sampling Design and Analysis
Description: A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that are not spatially balanced, select panel samples, measure the amount of spatial balance in a sample, adjust design weights, and more.
Author: Michael Dumelle [aut, cre] (<https://orcid.org/0000-0002-3393-5529>),
Tom Kincaid [aut],
Tony Olsen [aut],
Marc Weber [aut],
Don Stevens [ctb],
Denis White [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>
Diff between spsurvey versions 5.0.0 dated 2021-10-18 and 5.0.1 dated 2021-10-20
DESCRIPTION | 6 MD5 | 54 - R/dsgn_check.R | 14 R/grts.R | 2 R/irs.R | 3 R/sp_balance.R | 8 R/sp_plot.R | 15 R/sp_rbind.R | 2 R/sp_summary.R | 9 README.md | 4 build/vignette.rds |binary inst/CITATION | 4 inst/doc/EDA.Rmd | 4 inst/doc/EDA.html | 4 inst/doc/start-here.html | 4 man/grts.Rd | 2 man/irs.Rd | 2 man/sp_balance.Rd | 2 man/sp_plot.Rd | 2 man/sp_rbind.Rd | 2 man/sp_summary.Rd | 2 tests/testthat/test-grts.R | 1448 +++++++++++++++++++-------------------- tests/testthat/test-irs.R | 1448 +++++++++++++++++++-------------------- tests/testthat/test-sp_balance.R | 69 + tests/testthat/test-sp_plot.R | 342 ++++----- tests/testthat/test-sp_rbind.R | 107 +- tests/testthat/test-sp_summary.R | 528 +++++++------- vignettes/EDA.Rmd | 4 28 files changed, 2099 insertions(+), 1992 deletions(-)
Title: Response Probability Functions
Description: The purpose of this package is to factor out logic
and math common to Item Factor Analysis fitting, diagnostics, and
analysis. It is envisioned as core support code suitable for more
specialized IRT packages to build upon. Complete access to optimized C
functions are made available with R_RegisterCCallable().
This software is described in Pritikin & Falk (2020) <doi:10.1177/0146621620929431>.
Author: Joshua Pritikin [cre, aut],
Jonathan Weeks [ctb],
Li Cai [ctb],
Carrie Houts [ctb],
Phil Chalmers [ctb],
Michael D. Hunter [ctb],
Carl F. Falk [ctb]
Maintainer: Joshua Pritikin <jpritikin@pobox.com>
Diff between rpf versions 1.0.9 dated 2021-09-28 and 1.0.11 dated 2021-10-20
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- README.md | 2 +- build/partial.rdb |binary build/rpf.pdf |binary inst/doc/diagnostics.html | 44 ++++++++++++++++++++++---------------------- src/ba81quad.h | 2 +- tools/rox | 2 +- 8 files changed, 36 insertions(+), 36 deletions(-)
Title: Memory Estimation Utilities
Description: How much ram do you need to store a 100,000 by 100,000 matrix?
How much ram is your current R session using? How much ram do you even have?
Learn the scintillating answer to these and many more such questions with
the 'memuse' package.
Author: Drew Schmidt [aut, cre],
Christian Heckendorf [ctb] (FreeBSD improvements to meminfo),
Wei-Chen Chen [ctb] (Windows build fixes),
Dan Burgess [ctb] (donation of a Mac for development and testing)
Maintainer: Drew Schmidt <wrathematics@gmail.com>
Diff between memuse versions 4.1-0 dated 2020-02-17 and 4.2-1 dated 2021-10-20
ChangeLog | 7 ++ DESCRIPTION | 8 +- MD5 | 20 +++--- R/howbig.r | 8 -- R/hr.r | 146 +++++++++++++++++++++++++++------------------- R/utils.r | 2 README.md | 13 +--- configure | 181 ---------------------------------------------------------- configure.ac | 10 +-- man/howbig.Rd | 5 - man/hr.Rd | 4 - 11 files changed, 124 insertions(+), 280 deletions(-)
Title: Density Estimation by Extreme Value Distributions
Description: Provides mean squared error (MSE) and plot the kernel densities related to extreme value distributions with their estimated values.
By using Gumbel and Weibull Kernel. See Salha et al. (2014) <doi:10.4236/ojs.2014.48061> and Khan and Akbar (2021) <doi:10.4236/ojs.2021.112018 >.
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>
Diff between DEEVD versions 1.2.1 dated 2020-07-22 and 1.2.2 dated 2021-10-20
DEEVD-1.2.1/DEEVD/man/msegumbel.Rd |only DEEVD-1.2.1/DEEVD/man/mseweibull.Rd |only DEEVD-1.2.2/DEEVD/DESCRIPTION | 11 - DEEVD-1.2.2/DEEVD/MD5 | 26 +- DEEVD-1.2.2/DEEVD/NAMESPACE | 3 DEEVD-1.2.2/DEEVD/R/DEEVD.R | 336 ++++++++++++++++++++------------- DEEVD-1.2.2/DEEVD/R/Mississippi.R |only DEEVD-1.2.2/DEEVD/R/Rhone.R |only DEEVD-1.2.2/DEEVD/R/Suicide.R |only DEEVD-1.2.2/DEEVD/data |only DEEVD-1.2.2/DEEVD/man/DEEVD-package.Rd | 4 DEEVD-1.2.2/DEEVD/man/Gumbel.Rd | 54 ++++- DEEVD-1.2.2/DEEVD/man/Mississippi.Rd |only DEEVD-1.2.2/DEEVD/man/Rhone.Rd |only DEEVD-1.2.2/DEEVD/man/Suicide.Rd |only DEEVD-1.2.2/DEEVD/man/Weibull.Rd | 51 ++++- DEEVD-1.2.2/DEEVD/man/mse.Rd |only DEEVD-1.2.2/DEEVD/man/plot.Gumbel.Rd | 27 +- DEEVD-1.2.2/DEEVD/man/plot.Weibull.Rd | 22 +- 19 files changed, 354 insertions(+), 180 deletions(-)
Title: Automated Grading of R Scripts
Description: Tools for grading the coding style and documentation of R
scripts. This is the R component of Roger the Omni Grader, an
automated grading system for computer programming projects based on
Unix shell scripts; see <https://gitlab.com/roger-project>. The
package also provides an R interface to the shell scripts. Inspired by
the lintr package.
Author: Vincent Goulet [aut, cre],
Samuel Fréchette [aut],
Jean-Christophe Langlois [aut],
Jim Hester [ctb]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>
Diff between roger versions 0.99-0 dated 2021-08-21 and 0.99-1 dated 2021-10-20
DESCRIPTION | 9 +++--- MD5 | 44 ++++++++++++++++----------------- R/assignment_style.R | 5 +++ R/commas_style.R | 5 +++ R/curly_braces_style.R | 15 +++++++++++ R/documentation.R | 22 +++++++++++++++- R/line_length_style.R | 5 +++ R/nomagic_style.R | 5 +++ R/ops_spaces_style.R | 5 +++ R/parentheses_style.R | 23 +++++++++++++++-- R/roger_interface.R | 11 ++++++-- R/square_brackets_style.R | 10 +++++++ R/trailing_blank_lines_style.R | 5 +++ R/trailing_whitespace_style.R | 5 +++ R/unneeded_concatenation_style.R | 5 +++ inst/NEWS.Rd | 21 +++++++++++++++ inst/po/en@quot/LC_MESSAGES/R-roger.mo |binary inst/po/fr/LC_MESSAGES/R-roger.mo |binary man/getSourceData.Rd | 3 +- man/parentheses_style.Rd | 10 +++++-- po/R-fr.po | 13 ++++++++- po/R-roger.pot | 13 ++++++++- tests/style-tests.R | 4 +++ 23 files changed, 197 insertions(+), 41 deletions(-)