Title: Factor Big Integers with the Parallel Quadratic Sieve
Description: Features the multiple polynomial quadratic sieve (MPQS) algorithm
for factoring large integers and a vectorized factoring function that
returns the complete factorization of an integer. The MPQS is based off of
the seminal work of Carl Pomerance (1984) <doi:10.1007/3-540-39757-4_17>
along with the modification of multiple polynomials introduced by Peter
Montgomery and J. Davis as outlined by Robert D. Silverman (1987)
<doi:10.1090/S0025-5718-1987-0866119-8>. Utilizes the C library
GMP (GNU Multiple Precision Arithmetic) and 'RcppThread' for sieving
multiple polynomials in parallel. The Pollard's rho algorithm for
factoring smaller numbers is the same algorithm used by the factorize
function in the 'gmp' package.
Author: Joseph Wood [aut, cre],
Free Software Foundation, Inc. [cph],
Mike Tryczak [ctb]
Maintainer: Joseph Wood <jwood000@gmail.com>
Diff between RcppBigIntAlgos versions 0.3.1 dated 2020-09-28 and 0.3.3 dated 2020-10-13
DESCRIPTION | 11 +- MD5 | 28 +++--- NEWS | 9 + README.md | 196 ++++++------------------------------------ inst/include/Polynomial.h | 5 - inst/include/ReduceMatrix.h | 13 +- inst/include/SieveUtils.h | 6 - inst/include/SolutionSearch.h | 1 inst/include/StatsUtils.h | 9 + man/quadraticSieve.Rd | 2 src/Polynomial.cpp | 50 ++++------ src/QuadraticSieve.cpp | 124 ++++++++++++++------------ src/ReduceMatrix.cpp | 106 ++++++++++++---------- src/SieveUtils.cpp | 134 ++++++++++++---------------- src/SolutionSearch.cpp | 143 ++++++++++++++++++------------ 15 files changed, 377 insertions(+), 460 deletions(-)
More information about RcppBigIntAlgos at CRAN
Permanent link
Title: Analysis of Physiologically Structured Population Models
Description: Performs demographic, bifurcation and evolutionary analysis of physiologically structured population models, which is a class of models that consistently translates continuous-time models of individual life history to the population level.
A model of individual life history has to be implemented specifying the individual-level functions that determine the life history, such as development and mortality rates and fecundity.
M.A. Kirkilionis, O. Diekmann, B. Lisser, M. Nool, B. Sommeijer & A.M. de Roos (2001) <doi:10.1142/S0218202501001264>.
O.Diekmann, M.Gyllenberg & J.A.J.Metz (2003) <doi:10.1016/S0040-5809(02)00058-8>.
A.M. de Roos (2008) <doi:10.1111/j.1461-0248.2007.01121.x>.
Author: Andre M. de Roos [aut, cre],
Ernst Hairer [ctb],
Gerhard Wanner [ctb]
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>
Diff between PSPManalysis versions 0.3.2 dated 2020-09-14 and 0.3.4 dated 2020-10-13
DESCRIPTION | 8 +++--- MD5 | 43 ++++++++++++++++++---------------- NEWS.md | 14 +++++++++++ R/PSPMecodyn.R | 6 +++- R/PSPMequi.R | 7 +++-- R/PSPMevodyn.R | 5 +++ R/PSPMind.R | 2 - R/buildSO.R | 1 R/csbread.R | 43 ++++++++++++++++++++++++---------- demo/00Index | 1 demo/All.R | 2 + demo/Salmon.R |only inst/C/PSPMdemo.c | 4 +-- inst/C/PSPMecodyn.c | 10 ++++++- inst/C/PSPMequi.c | 8 +++--- inst/C/PSPMevodyn.c | 4 +-- inst/C/PSPMind.c | 4 +-- inst/C/escbox/ebtmain.h | 4 +-- inst/C/globals.h | 4 +-- inst/C/io.c | 6 ++-- inst/Models/Salmon.R |only inst/Models/Salmon.h |only tests/testthat/test.02-PNAS2002.R | 2 + tests/testthat/test.03-Indet_growth.R | 2 - 24 files changed, 117 insertions(+), 63 deletions(-)
Title: Mixed Effect Excess Hazard Models
Description: Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty).
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>
Diff between mexhaz versions 1.9 dated 2020-10-03 and 1.10 dated 2020-10-13
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS | 4 ++++ build/vignette.rds |binary inst/doc/mexhaz.R | 42 +++++++++++++++++++++--------------------- inst/doc/mexhaz.Rnw | 15 ++++++--------- inst/doc/mexhaz.pdf |binary src/HazardNsL.c | 6 +++--- src/HazardNsR.c | 6 +++--- vignettes/mexhaz.Rnw | 15 ++++++--------- 10 files changed, 56 insertions(+), 58 deletions(-)
Title: Approximate Inclusion Probabilities for Survey Sampling
Description: Approximate joint-inclusion probabilities in Unequal Probability Sampling, or compute Monte Carlo approximations of the first and second-order inclusion probabilities of a general sampling design as in Fattorini (2006) <doi:10.1093/biomet/93.2.269>.
Author: Roberto Sichera [aut, cre]
Maintainer: Roberto Sichera <rob.sichera@gmail.com>
Diff between jipApprox versions 0.1.2 dated 2019-02-09 and 0.1.3 dated 2020-10-13
DESCRIPTION | 14 ++-- MD5 | 12 +-- R/package-jipApprox.R | 85 ++++++++++++++------------ README.md | 160 +++++++++++++++++++++++++------------------------- man/jipApprox.Rd | 78 ++++++++++++------------ man/jip_MonteCarlo.Rd | 18 ++++- man/save_output.Rd | 12 +++ 7 files changed, 203 insertions(+), 176 deletions(-)
Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of
isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>),
extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>),
SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>),
and fair-cut forest (Cortes (2019) <arXiv:1911.06646>),
for isolation-based outlier detection, clustered outlier detection, distance or similarity
approximation (Cortes (2019) <arXiv:1910.12362>),
and imputation of missing values (Cortes (2019) <arXiv:1911.06646>),
based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to
categorical columns and handling missing data, and offers options for varying between random and guided
splits, and for using different splitting criteria.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between isotree versions 0.1.19 dated 2020-10-11 and 0.1.20 dated 2020-10-13
DESCRIPTION | 8 +++---- MD5 | 10 ++++----- R/isoforest.R | 9 +++++++- man/isolation.forest.Rd | 2 - src/Rwrapper.cpp | 50 ++++++++++++++++++++++-------------------------- src/fit_model.cpp | 3 +- 6 files changed, 43 insertions(+), 39 deletions(-)
Title: Fast Implementation of the Diffusion Decision Model
Description: Provides the probability density function (PDF) of the diffusion decision
model (DDM; e.g., Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>)
with across-trial variability in the drift rate.
Because the PDF of the DDM contains an infinite sum, it needs to be
approximated. 'fddm' implements all published approximations (Navarro & Fuss, 2009,
<doi:10.1016/j.jmp.2009.02.003>; Gondan, Blurton, & Kesselmeier, 2014,
<doi:10.1016/j.jmp.2014.05.002>) plus new approximations. All approximations
are implemented purely in 'C++' providing faster speed than existing packages.
Author: Kendal B. Foster [aut],
Henrik Singmann [ctb, cre] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Henrik Singmann <singmann@gmail.com>
Diff between fddm versions 0.1-1 dated 2020-07-10 and 0.2-1 dated 2020-10-13
fddm-0.1-1/fddm/inst/extdata/valid_den.Rds |only fddm-0.2-1/fddm/DESCRIPTION | 20 fddm-0.2-1/fddm/MD5 | 68 fddm-0.2-1/fddm/NEWS.md |only fddm-0.2-1/fddm/R/RcppExports.R | 4 fddm-0.2-1/fddm/R/dfddm.R | 22 fddm-0.2-1/fddm/README.md | 108 fddm-0.2-1/fddm/inst/doc/benchmark.R | 610 +-- fddm-0.2-1/fddm/inst/doc/benchmark.Rmd | 654 +-- fddm-0.2-1/fddm/inst/doc/benchmark.html | 2059 +++++------ fddm-0.2-1/fddm/inst/doc/example.R | 87 fddm-0.2-1/fddm/inst/doc/example.Rmd | 111 fddm-0.2-1/fddm/inst/doc/example.html | 687 ++- fddm-0.2-1/fddm/inst/doc/math.Rmd | 51 fddm-0.2-1/fddm/inst/doc/math.html | 221 - fddm-0.2-1/fddm/inst/doc/validity.R | 481 +- fddm-0.2-1/fddm/inst/doc/validity.Rmd | 573 +-- fddm-0.2-1/fddm/inst/doc/validity.html | 1503 +++----- fddm-0.2-1/fddm/inst/extdata/bm_fit.Rds |binary fddm-0.2-1/fddm/inst/extdata/bm_ind.Rds |binary fddm-0.2-1/fddm/inst/extdata/bm_vec.Rds |binary fddm-0.2-1/fddm/inst/extdata/valid_fit.Rds |binary fddm-0.2-1/fddm/man/dfddm.Rd | 33 fddm-0.2-1/fddm/src/RcppExports.cpp | 9 fddm-0.2-1/fddm/src/cpp_dfddm.cpp | 95 fddm-0.2-1/fddm/src/density_funcs.cpp | 155 fddm-0.2-1/fddm/src/funcs.h | 40 fddm-0.2-1/fddm/src/num_funcs.cpp | 21 fddm-0.2-1/fddm/src/sum_funcs.cpp | 121 fddm-0.2-1/fddm/tests/testthat/test-density.R | 230 - fddm-0.2-1/fddm/tests/testthat/test-validity_vignette_fits.R | 329 - fddm-0.2-1/fddm/vignettes/benchmark.Rmd | 654 +-- fddm-0.2-1/fddm/vignettes/example.Rmd | 111 fddm-0.2-1/fddm/vignettes/math.Rmd | 51 fddm-0.2-1/fddm/vignettes/stile.css | 25 fddm-0.2-1/fddm/vignettes/validity.Rmd | 573 +-- 36 files changed, 4824 insertions(+), 4882 deletions(-)
Title: A Wrapper of the JavaScript Library 'DataTables'
Description: Data objects in R can be rendered as HTML tables using the
JavaScript library 'DataTables' (typically via R Markdown or Shiny). The
'DataTables' library has been included in this R package. The package name
'DT' is an abbreviation of 'DataTables'.
Author: Yihui Xie [aut, cre],
Joe Cheng [aut],
Xianying Tan [aut],
JJ Allaire [ctb],
Maximilian Girlich [ctb],
Greg Freedman Ellis [ctb],
Johannes Rauh [ctb],
jQuery contributors [ctb, cph] (jQuery in htmlwidgets/lib),
SpryMedia Limited [ctb, cph] (DataTables in htmlwidgets/lib),
Brian Reavis [ctb, cph] (selectize.js in htmlwidgets/lib),
Leon Gersen [ctb, cph] (noUiSlider in htmlwidgets/lib),
Bartek Szopka [ctb, cph] (jquery.highlight.js in htmlwidgets/lib),
RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>
Diff between DT versions 0.15 dated 2020-08-05 and 0.16 dated 2020-10-13
DESCRIPTION | 6 MD5 | 37 +- R/datatables.R | 9 R/format.R | 8 R/shiny.R | 4 R/utils.R | 8 inst/doc/DT.html | 129 +++++- inst/htmlwidgets/datatables.js | 4 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap.min.css | 2 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap4.min.css | 2 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.dataTables.min.css | 2 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.foundation.min.css | 2 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.jqueryui.min.css | 2 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.semanticui.min.css | 2 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/js/dataTables.searchPanes.min.js | 185 +++++----- inst/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap4.min.js | 4 inst/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.dataTables.min.js | 2 inst/htmlwidgets/lib/datatables-plugins/filtering |only man/proxy.Rd | 6 tests/testit/test-datatables.R | 10 20 files changed, 281 insertions(+), 143 deletions(-)
Title: Explore Correlations Between Variables in a Machine Learning
Model
Description: When exploring data or models we often examine variables one by one.
This analysis is incomplete if the relationship between these variables is
not taken into account. The 'corrgrapher' package facilitates simultaneous
exploration of the Partial Dependence Profiles and the correlation between
variables in the model.
The package 'corrgrapher' is a part of the 'DrWhy.AI' universe.
Author: Pawel Morgen [aut, cre],
Przemyslaw Biecek [aut]
Maintainer: Pawel Morgen <seriousmorgen@protonmail.com>
Diff between corrgrapher versions 1.0.3 dated 2020-10-12 and 1.0.4 dated 2020-10-13
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- NEWS.md | 4 ++++ tests/testthat/setup.R | 7 +++---- 4 files changed, 14 insertions(+), 11 deletions(-)
Title: Generates a Visualization of Classifier Performance as a Grid of
Diagnostic Plots
Description: Generates a visualization of binary classifier performance as a grid of
diagnostic plots with just one function call. Includes ROC curves,
prediction density, accuracy, precision, recall and calibration plots, all using
ggplot2 for easy modification.
Debug your binary classifiers faster and easier!
Author: Aaron Defazio [aut, cre],
Huw Campbell [aut]
Maintainer: Aaron Defazio <aaron.defazio@gmail.com>
Diff between classifierplots versions 1.3.3 dated 2017-04-06 and 1.4.0 dated 2020-10-13
DESCRIPTION | 20 ++++++++++---------- MD5 | 16 ++++++++-------- R/boxplot.R | 2 +- R/calibration.R | 4 ++-- R/density.R | 2 +- R/individual_plots.R | 4 ++-- R/lift.R | 2 +- R/precision.R | 2 +- R/roc.R | 2 +- 9 files changed, 27 insertions(+), 27 deletions(-)
More information about classifierplots at CRAN
Permanent link
Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions.
Provides functions to manage packages via the distribution's package
manager. Also provides transparent integration with R's install.packages()
and a fallback mechanism. When installed as a system package, interacts
with the system's package manager without requiring administrative
privileges via an integrated D-Bus service; otherwise, uses sudo.
Currently, the following backends are supported: DNF, APT.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>
Diff between bspm versions 0.3.5 dated 2020-08-24 and 0.3.6 dated 2020-10-13
DESCRIPTION | 6 ++-- MD5 | 16 ++++++----- NEWS.md | 8 +++++ R/manager.R | 21 +++++++++++++-- README.md | 9 +++++- inst/service/backend/apt.py | 8 +++-- inst/tinytest/db.rds |only inst/tinytest/test_manager.R | 56 +++++++++++++++++++++++++--------------- inst/tinytest/test_manager_ci.R |only man/manager.Rd | 11 +++++++ 10 files changed, 97 insertions(+), 38 deletions(-)
Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic models
(assuming either presence or absence of the effect, heterogeneity, and
publication bias) and using Bayesian model averaging to combine them. The
ensembles use Bayes factors to test for the presence or absence of the
individual components (e.g., effect vs. no effect) and model-averages
parameter estimates based on posterior model probabilities
(Maier, Bartoš & Wagenmakers, 2020, <doi:10.31234/osf.io/u4cns>). The user can
define a wide range of non-informative or informative priors for the
effect size, heterogeneity, and weight functions. The package provides
convenient functions for summary, visualizations, and fit diagnostics.
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>),
Eric-Jan Wagenmakers [ths] (<https://orcid.org/0000-0003-1596-1034>),
Joris Goosen [ctb]
Maintainer: František Bartoš <f.bartos96@gmail.com>
Diff between RoBMA versions 1.0.4 dated 2020-08-07 and 1.0.5 dated 2020-10-13
DESCRIPTION | 10 - MD5 | 46 ++-- NAMESPACE | 4 NEWS.md | 43 ++-- R/distributions.R | 2 R/main.R | 211 +++++++++++++++++---- R/plots.R | 35 ++- R/priors.R | 86 +++++--- README.md | 26 +- build/partial.rdb |binary inst/doc/CustomEnsembles.html | 340 +++++++++++++++++----------------- inst/doc/ReproducingBMA.html | 248 +++++++++++++----------- inst/doc/WarningsAndErrors.html | 20 +- man/Anderson2010.Rd | 4 man/RoBMA-package.Rd | 86 ++++---- man/RoBMA.Rd | 3 man/figures/README-fig_mu-1.png |binary man/figures/README-fig_mu_chain-1.png |binary man/figures/README-fig_mu_ind-1.png |binary man/figures/README-fig_omega-1.png |binary man/figures/README-fig_tau-1.png |binary man/plot.RoBMA.prior.Rd | 134 ++++++------- man/update.RoBMA.Rd | 3 tests/testthat/test-4-fit.R | 4 24 files changed, 782 insertions(+), 523 deletions(-)
Title: Short Sprints
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data.
Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU),
and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters
can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized
in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>,
Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>,
Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>,
Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, and
Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
Author: Mladen Jovanovic [aut, cre],
Jason D. Vescovi [dtc]
Maintainer: Mladen Jovanovic <coach.mladen.jovanovic@gmail.com>
Diff between shorts versions 1.1.1 dated 2020-09-11 and 1.1.2 dated 2020-10-13
shorts-1.1.1/shorts/man/mixed_model_using_radar.Rd |only shorts-1.1.1/shorts/man/model_using_radar.Rd |only shorts-1.1.2/shorts/DESCRIPTION | 6 shorts-1.1.2/shorts/MD5 | 39 +- shorts-1.1.2/shorts/NAMESPACE | 13 shorts-1.1.2/shorts/NEWS.md | 13 shorts-1.1.2/shorts/R/find_functions.R | 172 ++++++++ shorts-1.1.2/shorts/R/get_air_resistance.R |only shorts-1.1.2/shorts/R/mixed_model_using_radar.R |only shorts-1.1.2/shorts/R/model_using_radar.R | 213 +++-------- shorts-1.1.2/shorts/R/predict_functions.R | 170 ++++++++ shorts-1.1.2/shorts/R/shorts_S3.R | 2 shorts-1.1.2/shorts/README.md | 84 +++- shorts-1.1.2/shorts/inst/CITATION | 8 shorts-1.1.2/shorts/inst/doc/sprint-corrections.R | 2 shorts-1.1.2/shorts/inst/doc/sprint-corrections.Rmd | 2 shorts-1.1.2/shorts/inst/doc/sprint-corrections.html | 105 +++++ shorts-1.1.2/shorts/man/figures/README-unnamed-chunk-7-1.png |binary shorts-1.1.2/shorts/man/find_functions.Rd | 70 +++ shorts-1.1.2/shorts/man/get_air_resistance.Rd |only shorts-1.1.2/shorts/man/mixed_model_radar.Rd |only shorts-1.1.2/shorts/man/model_radar.Rd |only shorts-1.1.2/shorts/man/predict_kinematics.Rd | 83 ++++ shorts-1.1.2/shorts/vignettes/sprint-corrections.Rmd | 2 24 files changed, 743 insertions(+), 241 deletions(-)
Title: NEON Data Store
Description: The National Ecological Observatory Network (NEON) provides access
to its numerous data products through its REST API,
<https://data.neonscience.org/data-api/>. This package provides a
high-level user interface for downloading and storing NEON data products.
While each of NEON data products consist of hundreds or thousands of individual
files. Unlike 'neonUtilities', this package will avoid repeated downloading,
provides persistent storage, and improves performance. This package does not
provide expose interactions with the individual low-level NEON API endpoints.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>),
Quinn Thomas [aut] (<https://orcid.org/0000-0003-1282-7825>),
Christine Laney [aut] (<https://orcid.org/0000-0002-4944-2083>),
Claire Lunch [aut] (<https://orcid.org/0000-0001-8753-6593>),
Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>)
Maintainer: Carl Boettiger <cboettig@gmail.com>
Diff between neonstore versions 0.3.0 dated 2020-10-06 and 0.3.1 dated 2020-10-13
DESCRIPTION | 9 ++- MD5 | 28 ++++++----- NEWS.md | 5 ++ R/neon_export.R | 6 ++ R/neon_filename_parser.R | 5 ++ R/neon_index.R | 9 ++- R/neon_read.R | 102 ++++++++++++++++++++++++++++++++++-------- R/neon_store.R | 36 ++++++++++---- R/stack_eddy.R |only inst/examples/eddy_db.R | 55 ++++++++++++++-------- inst/examples/thelio_mirror.R | 4 - man/neon_import.Rd | 6 ++ man/neon_read.Rd | 4 - man/neon_store.Rd | 6 ++ tests/testthat/test-eddy.R |only tests/testthat/test-read.R | 6 ++ 16 files changed, 199 insertions(+), 82 deletions(-)
Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>
Diff between lessR versions 3.9.7 dated 2020-09-23 and 3.9.8 dated 2020-10-13
lessR-3.9.7/lessR/R/pl.R |only lessR-3.9.7/lessR/R/prob.norm.R |only lessR-3.9.7/lessR/R/prob.tcut.R |only lessR-3.9.7/lessR/R/prob.znorm.R |only lessR-3.9.7/lessR/R/ss.brief.R |only lessR-3.9.7/lessR/inst/doc/Read.R |only lessR-3.9.7/lessR/inst/doc/Read.Rmd |only lessR-3.9.7/lessR/inst/doc/Read.html |only lessR-3.9.7/lessR/inst/img/DataExcel.png |only lessR-3.9.7/lessR/vignettes/Read.Rmd |only lessR-3.9.8/lessR/DESCRIPTION | 8 lessR-3.9.8/lessR/MD5 | 137 +++--- lessR-3.9.8/lessR/NAMESPACE | 7 lessR-3.9.8/lessR/NEWS | 47 ++ lessR-3.9.8/lessR/R/BarChart.R | 2 lessR-3.9.8/lessR/R/Histogram.R | 2 lessR-3.9.8/lessR/R/LineChart.R | 2 lessR-3.9.8/lessR/R/PieChart.R | 2 lessR-3.9.8/lessR/R/Plot.R | 27 - lessR-3.9.8/lessR/R/Read.R | 2 lessR-3.9.8/lessR/R/Regression.R | 8 lessR-3.9.8/lessR/R/corReorder.R | 7 lessR-3.9.8/lessR/R/plt.zbubble.R | 33 - lessR-3.9.8/lessR/R/plt.zmain.R | 145 +++---- lessR-3.9.8/lessR/R/reg.z5Plot.R | 40 + lessR-3.9.8/lessR/R/simCLT.R | 2 lessR-3.9.8/lessR/R/zzz.R | 44 +- lessR-3.9.8/lessR/build/vignette.rds |binary lessR-3.9.8/lessR/inst/doc/BarChart.R | 63 +-- lessR-3.9.8/lessR/inst/doc/BarChart.Rmd | 158 +++++-- lessR-3.9.8/lessR/inst/doc/BarChart.html | 501 +++++++++---------------- lessR-3.9.8/lessR/inst/doc/Customize.R | 3 lessR-3.9.8/lessR/inst/doc/Customize.Rmd | 7 lessR-3.9.8/lessR/inst/doc/Customize.html | 137 ++++-- lessR-3.9.8/lessR/inst/doc/Extract.Rmd | 2 lessR-3.9.8/lessR/inst/doc/Extract.html | 94 ++++ lessR-3.9.8/lessR/inst/doc/FactorAnalysis.Rmd | 2 lessR-3.9.8/lessR/inst/doc/FactorAnalysis.html | 78 +++ lessR-3.9.8/lessR/inst/doc/Histogram.R | 3 lessR-3.9.8/lessR/inst/doc/Histogram.Rmd | 29 - lessR-3.9.8/lessR/inst/doc/Histogram.html | 111 ++++- lessR-3.9.8/lessR/inst/doc/Means.Rmd | 2 lessR-3.9.8/lessR/inst/doc/Means.html | 86 +++- lessR-3.9.8/lessR/inst/doc/Plot.R | 19 lessR-3.9.8/lessR/inst/doc/Plot.Rmd | 37 + lessR-3.9.8/lessR/inst/doc/Plot.html | 188 +++++++-- lessR-3.9.8/lessR/inst/doc/ReadWrite.R |only lessR-3.9.8/lessR/inst/doc/ReadWrite.Rmd |only lessR-3.9.8/lessR/inst/doc/ReadWrite.html |only lessR-3.9.8/lessR/inst/doc/Regression.R | 15 lessR-3.9.8/lessR/inst/doc/Regression.Rmd | 45 +- lessR-3.9.8/lessR/inst/doc/Regression.html | 242 ++++++++++-- lessR-3.9.8/lessR/inst/doc/pivot.Rmd | 31 - lessR-3.9.8/lessR/inst/doc/pivot.html | 99 ++++ lessR-3.9.8/lessR/inst/img/DataTable.png |only lessR-3.9.8/lessR/inst/img/bc2Explain.png |only lessR-3.9.8/lessR/inst/img/bcExplain.png |only lessR-3.9.8/lessR/inst/img/bcXYExplain.png |only lessR-3.9.8/lessR/inst/img/hsExplain.png |only lessR-3.9.8/lessR/man/BarChart.Rd | 2 lessR-3.9.8/lessR/man/Histogram.Rd | 4 lessR-3.9.8/lessR/man/Plot.Rd | 44 +- lessR-3.9.8/lessR/man/Regression.Rd | 15 lessR-3.9.8/lessR/man/SummaryStats.Rd | 4 lessR-3.9.8/lessR/man/corReorder.Rd | 5 lessR-3.9.8/lessR/man/print_out.Rd | 2 lessR-3.9.8/lessR/man/prob_norm.Rd | 11 lessR-3.9.8/lessR/man/prob_tcut.Rd | 5 lessR-3.9.8/lessR/man/prob_znorm.Rd | 9 lessR-3.9.8/lessR/vignettes/BarChart.Rmd | 158 +++++-- lessR-3.9.8/lessR/vignettes/Customize.Rmd | 7 lessR-3.9.8/lessR/vignettes/Extract.Rmd | 2 lessR-3.9.8/lessR/vignettes/FactorAnalysis.Rmd | 2 lessR-3.9.8/lessR/vignettes/Histogram.Rmd | 29 - lessR-3.9.8/lessR/vignettes/Means.Rmd | 2 lessR-3.9.8/lessR/vignettes/Plot.Rmd | 37 + lessR-3.9.8/lessR/vignettes/ReadWrite.Rmd |only lessR-3.9.8/lessR/vignettes/Regression.Rmd | 45 +- lessR-3.9.8/lessR/vignettes/pivot.Rmd | 31 - 79 files changed, 1887 insertions(+), 994 deletions(-)
Title: Memory-Efficient Storage of Large Data on Disk and Fast Access
Functions
Description: The ff package provides data structures that are stored on
disk but behave (almost) as if they were in RAM by transparently
mapping only a section (pagesize) in main memory - the effective
virtual memory consumption per ff object. ff supports R's standard
atomic data types 'double', 'logical', 'raw' and 'integer' and
non-standard atomic types boolean (1 bit), quad (2 bit unsigned),
nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte
unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned),
single (4 byte float with NAs). For example 'quad' allows efficient
storage of genomic data as an 'A','T','G','C' factor. The unsigned
types support 'circular' arithmetic. There is also support for
close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and
custom close-to-atomic types.
ff not only has native C-support for vectors, matrices and arrays
with flexible dimorder (major column-order, major row-order and
generalizations for arrays). There is also a ffdf class not unlike
data.frames and import/export filters for csv files.
ff objects store raw data in binary flat files in native encoding,
and complement this with metadata stored in R as physical and virtual
attributes. ff objects have well-defined hybrid copying semantics,
which gives rise to certain performance improvements through
virtualization. ff objects can be stored and reopened across R
sessions. ff files can be shared by multiple ff R objects
(using different data en/de-coding schemes) in the same process
or from multiple R processes to exploit parallelism. A wide choice of
finalizer options allows to work with 'permanent' files as well as
creating/removing 'temporary' ff files completely transparent to the
user. On certain OS/Filesystem combinations, creating the ff files
works without notable delay thanks to using sparse file allocation.
Several access optimization techniques such as Hybrid Index
Preprocessing and Virtualization are implemented to achieve good
performance even with large datasets, for example virtual matrix
transpose without touching a single byte on disk. Further, to reduce
disk I/O, 'logicals' and non-standard data types get stored native and
compact on binary flat files i.e. logicals take up exactly 2 bits to
represent TRUE, FALSE and NA.
Beyond basic access functions, the ff package also provides
compatibility functions that facilitate writing code for ff and ram
objects and support for batch processing on ff objects (e.g. as.ram,
as.ff, ffapply). ff interfaces closely with functionality from package
'bit': chunked looping, fast bit operations and coercions between
different objects that can store subscript information ('bit',
'bitwhich', ff 'boolean', ri range index, hi hybrid index). This allows
to work interactively with selections of large datasets and quickly
modify selection criteria.
Further high-performance enhancements can be made available upon request.
Author: Daniel Adler [aut],
Christian Gläser [aut],
Oleg Nenadic [aut],
Jens Oehlschlägel [aut, cre],
Martijn Schuemie [aut],
Walter Zucchini [aut]
Maintainer: Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>
Diff between ff versions 4.0.2 dated 2020-07-30 and 4.0.4 dated 2020-10-13
DESCRIPTION | 8 ++++---- MD5 | 21 +++++++++++---------- NAMESPACE | 4 ++-- NEWS | 22 ++++++++++++++++++++++ R/CFUN.R | 4 ++-- R/ff.R | 2 +- R/zzz.R | 12 ++++++++++++ man/CFUN.rd | 2 +- man/ff.rd | 2 +- src/Makevars |only src/utk_platform_macros.hpp | 2 ++ tests/testthat/test-zero_lengths.R | 26 ++++++++++++++++++-------- 12 files changed, 76 insertions(+), 29 deletions(-)
Title: Retrieve Flu Season Data from the United States Centers for
Disease Control and Prevention ('CDC') 'FluView' Portal
Description: The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain
a portal <https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html> for
accessing state, regional and national influenza statistics as well as
mortality surveillance data. The web interface makes it difficult and
time-consuming to select and retrieve influenza data. Tools are provided
to access the data provided by the portal's underlying 'API'.
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>),
Craig McGowan [ctb] (<https://orcid.org/0000-0002-6298-0185>),
JJ Chen [ctb] (<https://orcid.org/0000-0001-8482-8398>),
Sebastian Meyer [ctb] (<https://orcid.org/0000-0002-1791-9449>),
James Turtle [ctb] (<https://orcid.org/0000-0003-0735-7769>),
Andrew Bates [ctb]
Maintainer: Bob Rudis <bob@rud.is>
Diff between cdcfluview versions 0.9.1 dated 2020-04-02 and 0.9.2 dated 2020-10-13
DESCRIPTION | 16 ++++++++-------- MD5 | 18 +++++++++--------- NAMESPACE | 1 + R/agd-ipt.r | 4 ++-- R/cdcfluview-package.R | 4 ++-- R/datasets.r | 2 +- R/get-flu-data.r | 4 ++-- R/get-weekly-flu-report.r | 4 ++-- man/cdcfluview.Rd | 2 +- man/census_regions.Rd | 2 +- 10 files changed, 29 insertions(+), 28 deletions(-)
Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript
library 'paged.js' to split the content of an HTML document into discrete
pages. Each page can have its page size, page numbers, margin boxes, and
running headers, etc. Applications of this package include books, letters,
reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>),
Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>),
Brent Thorne [aut] (<https://orcid.org/0000-0002-1099-3857>),
Xianying Tan [aut] (<https://orcid.org/0000-0002-6072-3521>),
Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>),
Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>),
RStudio, PBC [cph],
Adam Hyde [ctb] (paged.js in resources/js/),
Min-Zhong Lu [ctb] (resume.css in resources/css/),
Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>
Diff between pagedown versions 0.11 dated 2020-09-09 and 0.12 dated 2020-10-13
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 6 ++++++ R/chrome.R | 31 +++++++++++++++++++++++-------- man/chrome_print.Rd | 22 ++++++++++++++-------- 5 files changed, 50 insertions(+), 23 deletions(-)
Title: Generalized Linear Mixed Models using Adaptive Gaussian
Quadrature
Description: Fits generalized linear mixed models for a single grouping factor under
maximum likelihood approximating the integrals over the random effects with an
adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995)
<doi:10.1080/10618600.1995.10474663>.
Author: Dimitris Rizopoulos [aut, cre]
(<https://orcid.org/0000-0001-9397-0900>)
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Diff between GLMMadaptive versions 0.7-0 dated 2020-06-25 and 0.7-15 dated 2020-10-13
DESCRIPTION | 8 +-- MD5 | 30 ++++++------- NAMESPACE | 4 - R/Fit_Funs.R | 38 ++++++++++++++++- R/methods.R | 3 - R/mixed_model.R | 14 ++++-- README.md | 5 +- build/vignette.rds |binary inst/doc/Custom_Models.html | 80 ++++++++++++++++++++++++++++++++++-- inst/doc/GLMMadaptive_basics.html | 76 +++++++++++++++++++++++++++++++++- inst/doc/Methods_MixMod.html | 84 +++++++++++++++++++++++++++++++++++--- man/GLMMadaptive.Rd | 4 - man/effectPlotData.Rd | 4 - man/extra_fams.Rd | 6 +- man/marginal_coefs.Rd | 2 man/mixed_model.Rd | 2 16 files changed, 311 insertions(+), 49 deletions(-)
Title: Inference of Gene Regulatory Networks
Description: We present 'corto' (Correlation Tool), a simple package to infer
gene regulatory networks and visualize master regulators from gene expression
data using DPI (Data Processing Inequality) and bootstrapping to recover edges.
An initial step is performed to calculate all significant
edges between a list of source nodes (centroids) and target genes.
Then all triplets containing two centroids and one target are tested
in a DPI step which removes edges. A bootstrapping process then calculates
the robustness of the network, eventually re-adding edges previously removed by DPI.
The algorithm has been optimized to run outside a computing cluster, using a fast correlation
implementation. The package finally provides functions to calculate network enrichment
analysis from RNA-Seq and ATAC-Seq signatures as described in the article by
Giorgi lab (2020) <doi:10.1093/bioinformatics/btaa223>.
Author: Federico M. Giorgi [aut, cre],
Daniele Mercatelli [ctb],
Gonzalo Lopez-Garcia [ctb]
Maintainer: Federico M. Giorgi <federico.giorgi@gmail.com>
Diff between corto versions 1.1.0 dated 2020-06-27 and 1.1.2 dated 2020-10-13
DESCRIPTION | 12 ++++---- MD5 | 19 +++++++------- NAMESPACE | 2 + R/functions.R | 58 +++++++++++++++++++++++++++++++++++++++++-- R/mra.R | 24 ++++++++++++----- build/vignette.rds |binary inst/doc/corto_vignette.html | 11 +++++++- man/mra.Rd | 4 ++ man/mraplot.Rd | 9 +++++- man/scatter.Rd | 4 ++ man/val2col.Rd |only 11 files changed, 116 insertions(+), 27 deletions(-)
Title: Call R from R
Description: It is sometimes useful to perform a computation in a
separate R process, without affecting the current R process at all.
This packages does exactly that.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>),
Winston Chang [aut],
RStudio [cph, fnd],
Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Diff between callr versions 3.5.0 dated 2020-10-08 and 3.5.1 dated 2020-10-13
DESCRIPTION | 6 - MD5 | 10 +- NEWS.md | 5 + R/r-session.R | 112 +++++++++++++++++++++++++++---- R/script.R | 2 tests/testthat/test-r-session-messages.R | 33 +++++++++ 6 files changed, 146 insertions(+), 22 deletions(-)
Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>),
Tim Keitt [aut],
Barry Rowlingson [aut, ctb],
Edzer Pebesma [ctb],
Michael Sumner [ctb],
Robert Hijmans [ctb],
Even Rouault [cph, ctb],
Frank Warmerdam [cph, ctb],
Jeroen Ooms [ctb],
Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between rgdal versions 1.5-17 dated 2020-10-08 and 1.5-18 dated 2020-10-13
ChangeLog | 2112 +++++++++++++------------- DESCRIPTION | 10 MD5 | 33 NEWS.md |only R/make_EPSG.R | 14 build/vignette.rds |binary configure | 18 inst/ChangeLog | 2112 +++++++++++++------------- inst/SVN_VERSION | 2 inst/doc/CRS_projections_transformations.R | 8 inst/doc/CRS_projections_transformations.Rmd | 8 inst/doc/CRS_projections_transformations.html | 160 + inst/doc/OGR_shape_encoding.pdf |binary inst/doc/PROJ6_GDAL3.html | 67 man/make_EPSG.Rd | 4 tests/test_enforce_xy.R | 2 tests/test_enforce_xy.Rout.save | 52 vignettes/CRS_projections_transformations.Rmd | 8 18 files changed, 2442 insertions(+), 2168 deletions(-)
Title: Linear Models for Panel Data
Description: A set of estimators and tests for panel data
econometrics, as described in Baltagi (2013) Econometric Analysis of Panel Data, ISBN-13:978-1-118-67232-7,
Hsiao (2014) Analysis of Panel Data <doi:10.1017/CBO9781139839327> and
Croissant and Millo (2018), Panel Data Econometrics with R, ISBN:978-1-118-94918-4.
Author: Yves Croissant [aut, cre],
Giovanni Millo [aut],
Kevin Tappe [aut],
Ott Toomet [ctb],
Christian Kleiber [ctb],
Achim Zeileis [ctb],
Arne Henningsen [ctb],
Liviu Andronic [ctb],
Nina Schoenfelder [ctb]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Diff between plm versions 2.2-4 dated 2020-08-31 and 2.2-5 dated 2020-10-13
DESCRIPTION | 12 ++--- MD5 | 14 +++--- NEWS.md | 7 ++- build/partial.rdb |binary inst/REFERENCES.bib | 83 +++++++-------------------------------- inst/doc/plmFunction.html | 75 ++++++++++++++++++++++++++++++++++- inst/doc/plmModelComponents.html | 75 ++++++++++++++++++++++++++++++++++- inst/doc/plmPackage.html | 73 +++++++++++++++++++++++++++++++++- 8 files changed, 254 insertions(+), 85 deletions(-)
Title: Plackett-Luce Models for Rankings
Description: Functions to prepare rankings data and fit the Plackett-Luce model
jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce
(1959, ISBN:0486441369). The standard Plackett-Luce model is generalized
to accommodate ties of any order in the ranking. Partial rankings, in which
only a subset of items are ranked in each ranking, are also accommodated in
the implementation. Disconnected/weakly connected networks implied by the
rankings may be handled by adding pseudo-rankings with a hypothetical item.
Optionally, a multivariate normal prior may be set on the log-worth
parameters and ranker reliabilities may be incorporated as proposed by
Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a
posteriori estimation is used when priors are set. Methods are provided to
estimate standard errors or quasi-standard errors for inference as well as
to fit Plackett-Luce trees. See the package website or vignette for further
details.
Author: Heather Turner [aut, cre] (<https://orcid.org/0000-0002-1256-3375>),
Ioannis Kosmidis [aut] (<https://orcid.org/0000-0003-1556-0302>),
David Firth [aut] (<https://orcid.org/0000-0003-0302-2312>),
Jacob van Etten [ctb] (<https://orcid.org/0000-0001-7554-2558>)
Maintainer: Heather Turner <ht@heatherturner.net>
Diff between PlackettLuce versions 0.2-9 dated 2019-09-16 and 0.3.1 dated 2020-10-13
PlackettLuce-0.2-9/PlackettLuce/TODO |only PlackettLuce-0.3.1/PlackettLuce/DESCRIPTION | 14 PlackettLuce-0.3.1/PlackettLuce/MD5 | 131 PlackettLuce-0.3.1/PlackettLuce/NEWS.md | 366 PlackettLuce-0.3.1/PlackettLuce/R/PlackettLuce-package.R | 86 PlackettLuce-0.3.1/PlackettLuce/R/PlackettLuce.R | 1739 ++-- PlackettLuce-0.3.1/PlackettLuce/R/adjacency.R | 100 PlackettLuce-0.3.1/PlackettLuce/R/coef.R | 140 PlackettLuce-0.3.1/PlackettLuce/R/fit_adherence.R | 241 PlackettLuce-0.3.1/PlackettLuce/R/fit_common.R | 392 - PlackettLuce-0.3.1/PlackettLuce/R/fitted.R | 283 PlackettLuce-0.3.1/PlackettLuce/R/itempar.R | 254 PlackettLuce-0.3.1/PlackettLuce/R/nascar.R | 65 PlackettLuce-0.3.1/PlackettLuce/R/plfit.R | 323 PlackettLuce-0.3.1/PlackettLuce/R/pltree-summaries.R | 409 - PlackettLuce-0.3.1/PlackettLuce/R/preflib.R | 394 - PlackettLuce-0.3.1/PlackettLuce/R/qvcalc.PlackettLuce.R | 176 PlackettLuce-0.3.1/PlackettLuce/R/simulate.R | 333 PlackettLuce-0.3.1/PlackettLuce/R/utility.R | 293 PlackettLuce-0.3.1/PlackettLuce/R/vcov.R | 222 PlackettLuce-0.3.1/PlackettLuce/README.md | 503 - PlackettLuce-0.3.1/PlackettLuce/build/vignette.rds |binary PlackettLuce-0.3.1/PlackettLuce/inst/PlackettLuce0/PlackettLuce0.R | 941 +- PlackettLuce-0.3.1/PlackettLuce/inst/PlackettLuce0/coef0.R | 68 PlackettLuce-0.3.1/PlackettLuce/inst/PlackettLuce0/igraph0.R | 96 PlackettLuce-0.3.1/PlackettLuce/inst/Reference_Implementations/vcov_hessian.R | 341 PlackettLuce-0.3.1/PlackettLuce/inst/doc/Overview.R | 895 +- PlackettLuce-0.3.1/PlackettLuce/inst/doc/Overview.Rmd | 1868 ++-- PlackettLuce-0.3.1/PlackettLuce/inst/doc/Overview.html | 3777 ++++------ PlackettLuce-0.3.1/PlackettLuce/man/PlackettLuce-package.Rd | 2 PlackettLuce-0.3.1/PlackettLuce/man/PlackettLuce.Rd | 86 PlackettLuce-0.3.1/PlackettLuce/man/adjacency.Rd | 4 PlackettLuce-0.3.1/PlackettLuce/man/aggregate.Rd | 3 PlackettLuce-0.3.1/PlackettLuce/man/beans.Rd | 6 PlackettLuce-0.3.1/PlackettLuce/man/figures/always-loses-1.png |binary PlackettLuce-0.3.1/PlackettLuce/man/figures/qv-1.png |binary PlackettLuce-0.3.1/PlackettLuce/man/fitted.PlackettLuce.Rd | 7 PlackettLuce-0.3.1/PlackettLuce/man/group.Rd | 3 PlackettLuce-0.3.1/PlackettLuce/man/itempar.PlackettLuce.Rd | 3 PlackettLuce-0.3.1/PlackettLuce/man/nascar.Rd | 9 PlackettLuce-0.3.1/PlackettLuce/man/plfit.Rd | 13 PlackettLuce-0.3.1/PlackettLuce/man/pltree-summaries.Rd | 11 PlackettLuce-0.3.1/PlackettLuce/man/preflib.Rd | 6 PlackettLuce-0.3.1/PlackettLuce/man/pudding.Rd | 6 PlackettLuce-0.3.1/PlackettLuce/man/qvcalc.PlackettLuce.Rd | 10 PlackettLuce-0.3.1/PlackettLuce/man/rankings.Rd | 28 PlackettLuce-0.3.1/PlackettLuce/man/simulate.PlackettLuce.Rd | 14 PlackettLuce-0.3.1/PlackettLuce/man/summaries.Rd | 6 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/Rplots.pdf |binary PlackettLuce-0.3.1/PlackettLuce/tests/testthat/outputs/pl_adherence_pseudo.rds |binary PlackettLuce-0.3.1/PlackettLuce/tests/testthat/outputs/pltree_adherence_beans.rds |binary PlackettLuce-0.3.1/PlackettLuce/tests/testthat/outputs/print.coef.rds | 4 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/outputs/print.rds | 10 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/outputs/print.summary.rds | 24 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-adherence.R | 381 - PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-agrank.R | 122 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-algorithms.R | 73 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-estfun.R | 124 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-log-likelihood.R | 408 - PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-preflib.R | 3 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-pseudo.R | 390 - PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-simulate.R | 165 PlackettLuce-0.3.1/PlackettLuce/tests/testthat/test-ties.R |only PlackettLuce-0.3.1/PlackettLuce/vignettes/Overview.Rmd | 1868 ++-- PlackettLuce-0.3.1/PlackettLuce/vignettes/_site.yml |only PlackettLuce-0.3.1/PlackettLuce/vignettes/plackettluce.bib | 284 PlackettLuce-0.3.1/PlackettLuce/vignettes/pltree.rds |binary PlackettLuce-0.3.1/PlackettLuce/vignettes/render.R | 78 68 files changed, 9329 insertions(+), 9272 deletions(-)
Title: Family of Bayesian EMM Algorithm for Item Response Models
Description: Applying the family of the Bayesian Expectation-Maximization-Maximization (BEMM) algorithm to estimate: (1) Three parameter logistic (3PL) model proposed by Birnbaum (1968, ISBN:9780201043105); (2) four parameter logistic (4PL) model proposed by Barton & Lord (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x>; (3) one parameter logistic guessing (1PLG) and (4) one parameter logistic ability-based guessing (1PLAG) models proposed by San Martín et al (2006) <doi:10.1177/0146621605282773>. The BEMM family includes (1) the BEMM algorithm for 3PL model proposed by Guo & Zheng (2019) <doi:10.3389/fpsyg.2019.01175>; (2) the BEMM algorithm for 1PLG model and (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Wang (2018) <https:www.ncme.org/news/past-meetings/2018-recap>; (4) the BEMM algorithm for 4PL model proposed by Zhang, Guo, & Zheng (2018) <https:www.ncme.org/news/past-meetings/2018-recap>; and (5) their maximum likelihood estimation versions proposed by Zheng, Meng, Guo, & Liu (2018) <doi:10.3389/fpsyg.2017.02302>. Thus, both Bayesian modal estimates and maximum likelihood estimates are available.
Author: Shaoyang Guo [aut, cre, cph],
Chanjin Zheng [aut],
Justin L Kern [aut]
Maintainer: Shaoyang Guo <syguo1992@outlook.com>
Diff between IRTBEMM versions 1.0.5 dated 2020-09-23 and 1.0.6 dated 2020-10-13
DESCRIPTION | 10 +++++----- MD5 | 24 ++++++++++++------------ NEWS.md | 3 +++ R/BEMM.1PLAG.R | 3 ++- R/BEMM.1PLG.R | 3 ++- R/BEMM.3PL.R | 3 ++- R/BEMM.4PL.R | 4 +++- R/ToolBox.R | 38 +++++++++++++++----------------------- build/partial.rdb |binary man/BEMM.1PLAG.Rd | 1 + man/BEMM.1PLG.Rd | 1 + man/BEMM.3PL.Rd | 4 +++- man/BEMM.4PL.Rd | 1 + 13 files changed, 50 insertions(+), 45 deletions(-)
Title: Heteroscedastic t-Regression
Description: Functions for the fitting and summarizing of heteroscedastic t-regression.
Author: Julian Taylor <julian.taylor@adelaide.edu.au>
Maintainer: Julian Taylor <julian.taylor@adelaide.edu.au>
Diff between hett versions 0.3-2 dated 2018-06-12 and 0.3-3 dated 2020-10-13
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/hett.R | 30 ++---------------------------- man/tlm.Rd | 4 ++-- 4 files changed, 11 insertions(+), 37 deletions(-)
Title: Variable Table for Variable Documentation
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@seattleu.edu>
Diff between vtable versions 1.2.1 dated 2020-06-20 and 1.2.6 dated 2020-10-13
DESCRIPTION | 12 - MD5 | 52 ++-- R/dftotable.R | 25 +- R/labeltable.R | 41 ++- R/sumtable.R | 48 +++- R/vtable.R | 76 +++++-- build/vignette.rds |binary inst/doc/dftotable.html | 138 ++++++------- inst/doc/labeltable.R | 4 inst/doc/labeltable.Rmd | 14 + inst/doc/labeltable.html | 98 +++++---- inst/doc/sumtable.R | 4 inst/doc/sumtable.Rmd | 24 +- inst/doc/sumtable.html | 450 ++++++++++++++++++++++++++++++------------- inst/doc/vtable.html | 27 +- inst/doc/vtablefunction.R | 4 inst/doc/vtablefunction.Rmd | 22 +- inst/doc/vtablefunction.html | 302 ++++++++++++++-------------- inst/doc/vtablehelpers.html | 110 +++++----- man/dftoHTML.Rd | 3 man/dftoLaTeX.Rd | 6 man/labeltable.Rd | 15 + man/sumtable.Rd | 10 man/vtable.Rd | 10 vignettes/labeltable.Rmd | 14 + vignettes/sumtable.Rmd | 24 +- vignettes/vtablefunction.Rmd | 22 +- 27 files changed, 965 insertions(+), 590 deletions(-)
Title: SNPs-Based Whole Genome Association Studies
Description: Functions to perform most of the common analysis in genome association studies are implemented. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis). Permutation test and related tests (sum statistic and truncated product) are also implemented. Max-statistic and genetic risk-allele score exact distributions are also possible to be estimated. The methods are described in Gonzalez JR et al. (2007) <doi: 10.1093/bioinformatics/btm025>.
Author: Juan R Gonzalez and Victor Moreno
Maintainer: Juan R Gonzalez <juanr.gonzalez@isglobal.org>
Diff between SNPassoc versions 2.0-0 dated 2020-09-07 and 2.0-1 dated 2020-10-13
SNPassoc-2.0-0/SNPassoc/R/plot.WGassociation.R |only SNPassoc-2.0-1/SNPassoc/DESCRIPTION | 12 - SNPassoc-2.0-1/SNPassoc/MD5 | 13 -- SNPassoc-2.0-1/SNPassoc/inst/doc/SNPassoc.R | 16 ++ SNPassoc-2.0-1/SNPassoc/inst/doc/SNPassoc.Rmd | 24 +-- SNPassoc-2.0-1/SNPassoc/inst/doc/SNPassoc.html | 151 ++++++++++++------------- SNPassoc-2.0-1/SNPassoc/man/tableHWE.Rd | 4 SNPassoc-2.0-1/SNPassoc/vignettes/SNPassoc.Rmd | 24 +-- 8 files changed, 129 insertions(+), 115 deletions(-)
Title: Parse Messy Geographic Coordinates
Description: Parse geographic coordinates from various formats
to decimal degree numeric values. Parse coordinates into
their parts (degree, minutes, seconds); calculate hemisphere
from coordinates; pull out individually degrees,
minutes, or seconds; add and subtract degrees, minutes,
and seconds. C++ code herein originally inspired from code
written by Jeffrey D. Bogan, but then completely re-written.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>),
Alban Sagouis [ctb],
Jeffrey Bogan [ctb] (C++ code originally from Jeffrey Bogan, but
completely re-written),
Julien Brun [rev] (Julien Brun reviewed the package, see
https://github.com/ropensci/onboarding/issues/341),
Maria Munafó [rev] (Maria Munafó reviewed the package, see
https://github.com/ropensci/onboarding/issues/341),
rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <sckott@protonmail.com>
Diff between parzer versions 0.2.0 dated 2020-10-07 and 0.3.0 dated 2020-10-13
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NEWS.md | 7 +++++++ build/vignette.rds |binary src/pz_split_llstr.cpp | 3 ++- 5 files changed, 16 insertions(+), 8 deletions(-)
Title: Robust Linear Quantile Regression
Description: It fits a robust linear quantile regression model using a new
family of zero-quantile distributions for the error term. Missing values and censored observations can be handled as well. This family of
distribution includes skewed versions of the Normal, Student's t, Laplace, Slash
and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses
as shown in Galarza et.al.(2020) <doi:10.1007/s13571-020-00231-0>. It provides estimates and full inference.
It also provides envelopes plots for assessing the fit and confidences bands
when several quantiles are provided simultaneously.
Author: Christian E. Galarza, Luis Benites, Marcelo Bourguignon, Victor H. Lachos
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Diff between lqr versions 2.11 dated 2020-05-02 and 3.31 dated 2020-10-13
DESCRIPTION | 16 ++++++++-------- MD5 | 23 +++++++++++++---------- NAMESPACE | 6 ++++-- R/auxiliar.R | 2 +- R/cens_EM2.R |only R/cens_probs.R |only R/pdqr.R | 11 +++++++++-- man/SKD.Rd | 3 ++- man/best.lqr.Rd | 4 ++-- man/cens.lqr.Rd |only man/logbestlqr.Rd | 8 ++++---- man/loglqr.Rd | 8 ++++---- man/lqr-package.Rd | 3 ++- man/lqr.Rd | 6 +++--- 14 files changed, 52 insertions(+), 38 deletions(-)
Title: Dynamic Bayesian Network Learning and Inference
Description: Learning and inference over dynamic Bayesian networks of arbitrary
Markovian order. Extends some of the functionality offered by the 'bnlearn'
package to learn the networks from data and perform exact inference.
It offers two structure learning algorithms for dynamic Bayesian networks
and the possibility to perform forecasts of arbitrary length. A tool for
visualizing the structure of the net is also provided via the 'visNetwork'
package.
Author: David Quesada [aut, cre],
Gabriel Valverde [ctb]
Maintainer: David Quesada <dkesada@gmail.com>
Diff between dbnR versions 0.5.2 dated 2020-10-08 and 0.5.3 dated 2020-10-13
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- NAMESPACE | 1 + NEWS.md | 4 ++++ R/structure_learning_psoho.R | 1 + 5 files changed, 13 insertions(+), 7 deletions(-)
Title: Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF)
is a ground segment of the European Organization for the Exploitation of
Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application
Facilities. The CM SAF contributes to the sustainable monitoring of the climate
system by providing essential climate variables related to the energy and water
cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight
National Meteorological and Hydrological Services.
The 'cmsafvis' R-package provides a collection of R-operators for the analysis and
visualization of CM SAF NetCDF data.
CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu>).
Detailed information and test data are provided on the CM SAF webpage
(<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>
Diff between cmsafvis versions 1.0.0 dated 2020-10-06 and 1.0.1 dated 2020-10-13
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 7 +++++++ R/quicklook.R | 6 +++--- R/set_time_locale.R | 11 ++++++++++- man/quicklook.Rd | 6 +++--- tests/testthat/test-set_time_locale.R | 2 ++ 7 files changed, 34 insertions(+), 16 deletions(-)
Title: Bootstrap Algorithms for Finite Population Inference
Description: Finite Population bootstrap algorithms to estimate the variance
of the Horvitz-Thompson estimator for single-stage sampling.
For a survey of bootstrap methods for finite populations, see Mashreghi et Al. (2016) <doi:10.1214/16-SS113>.
Author: Roberto Sichera [aut, cre]
Maintainer: Roberto Sichera <rob.sichera@gmail.com>
Diff between bootstrapFP versions 0.4.3 dated 2019-02-24 and 0.4.4 dated 2020-10-13
DESCRIPTION | 14 +++++++------- MD5 | 12 ++++++------ README.md | 19 +++++++++++++------ man/AntalTille2011_ups.Rd | 9 +++++++-- man/bootstrapFP.Rd | 14 +++++++++++--- man/bootstrap_weights.Rd | 3 +-- man/generalised.Rd | 8 ++++++-- 7 files changed, 51 insertions(+), 28 deletions(-)
Title: Resampling-Based Analysis of Multivariate Data and Repeated
Measures Designs
Description: Implemented are various tests for semi-parametric repeated measures
and general MANOVA designs that do neither assume multivariate normality nor
covariance homogeneity, i.e., the procedures are applicable for a wide range
of general multivariate factorial designs. In addition to asymptotic inference
methods, novel bootstrap and permutation approaches are implemented as well. These provide more
accurate results in case of small to moderate sample sizes. Furthermore, post-hoc
comparisons are provided for the multivariate analyses.
Friedrich, S., Konietschke, F. and Pauly, M. (2018) <arXiv:1801.08002>.
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich@med.uni-goettingen.de>
Diff between MANOVA.RM versions 0.3.4 dated 2019-08-28 and 0.4.2 dated 2020-10-13
DESCRIPTION | 22 +-- MD5 | 65 +++++------ NAMESPACE | 1 R/Data.R | 6 - R/GUI.R | 2 R/GUI_MANOVA.R | 2 R/GUI_MANOVAwide.R | 2 R/MANOVA-function.R | 66 +++++------ R/MANOVA.RM-package.R | 12 +- R/MANOVA_simCI.R | 41 +++++-- R/MANOVAwide-function.R | 15 +- R/RM-function.R | 73 +++++++----- R/confint_MANOVA.R | 2 R/multRM-function.R |only R/multRM_Statistics.R |only R/utility_functions.R | 11 + build/vignette.rds |binary inst/NEWS.md | 6 + inst/doc/Introduction_to_MANOVA.RM.R | 13 +- inst/doc/Introduction_to_MANOVA.RM.Rmd | 86 ++++++++++---- inst/doc/Introduction_to_MANOVA.RM.html | 187 ++++++++++++++++++++------------ man/EEG.Rd | 2 man/EEGwide.Rd | 2 man/GUI.MANOVA.Rd | 2 man/GUI.MANOVAwide.Rd | 2 man/GUI.RM.Rd | 2 man/MANOVA.Rd | 7 - man/MANOVA.wide.Rd | 6 - man/MANOVARM.Rd | 12 +- man/RM.Rd | 24 ++-- man/conf.reg.Rd | 2 man/multRM.Rd |only man/o2cons.Rd | 2 man/simCI.Rd | 14 +- vignettes/Introduction_to_MANOVA.RM.Rmd | 86 ++++++++++---- 35 files changed, 506 insertions(+), 269 deletions(-)
Title: Utility Functions for Statistical Analysis Report Generation and
Monte Carlo Studies
Description: Helper functions for creating formatted summary of regression models, writing publication-ready tables to latex files, and running Monte Carlo experiments.
Author: Youyi Fong [cre],
Krisztian Sebestyen [aut],
Jason Becker [ctb],
Bendix Carstensen [ctb],
Daryl Morris [ctb],
Josh Pasek [ctb],
Dennis Chao [ctb],
Andri Signorell [ctb],
Sue Li [ctb],
Jonathan Bartlett [ctb],
Christophe Dutang [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>
Diff between kyotil versions 2020.8-22 dated 2020-08-26 and 2020.10-12 dated 2020-10-13
ChangeLog | 24 ++++++++++ DESCRIPTION | 20 +++++--- MD5 | 36 +++++++++------- NAMESPACE | 20 ++++++-- R/DMHeatMap.R | 43 +++++++++++-------- R/P.adj.perm.R |only R/binaryloess.R |only R/iorw.R |only R/marginal.risk.R | 85 +++++++++++++++++++++++++++++++++++--- R/plotting.R | 3 - R/print.R | 22 +++++---- R/random.R | 9 ++-- R/regression.model.functions.R | 75 ++++++++++++++++++++++++++------- data |only man/DMHeatMap.Rd | 23 +++++++--- man/binaryloess.Rd |only man/iorw.Rd |only man/kid.Rd |only man/marginal.risk.Rd | 45 ++++++++++++++------ man/p.adj.perm.Rd |only man/print.Rd | 10 ++-- man/random.Rd | 16 ++++--- man/regression.model.functions.Rd | 5 ++ 23 files changed, 325 insertions(+), 111 deletions(-)
Title: Tools for Data Splitting
Description: Fast, lightweight toolkit for data splitting. Data
sets can be partitioned into disjoint groups (e.g. into training,
validation, and test) or into (repeated) k-folds for subsequent
cross-validation. Besides basic splits, the package supports
stratified, grouped as well as blocked splitting. Furthermore,
cross-validation folds for time series data can be created. See e.g.
Hastie et al. (2001) <doi:10.1007/978-0-387-84858-7> for the basic
background on data partitioning and cross-validation.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between splitTools versions 0.3.0 dated 2020-09-19 and 0.3.1 dated 2020-10-13
DESCRIPTION | 8 +-- MD5 | 20 ++++----- NEWS.md | 6 ++ R/create_folds.R | 12 ++++- R/partition.R | 53 ++++++++++++++++--------- build/vignette.rds |binary inst/doc/splitTools.html | 76 ++++++++++++++++++++++++++++++++++++- man/create_folds.Rd | 3 + man/partition.Rd | 3 + tests/testthat/test-create_folds.R | 16 +++++++ tests/testthat/test-partition.R | 27 +++++++++++++ 11 files changed, 186 insertions(+), 38 deletions(-)
Title: Lightweight Well-Known Geometry Parsing
Description: Provides a minimal R and C++ API for parsing
well-known binary and well-known text representation of
geometries to and from R-native formats.
Well-known binary is compact
and fast to parse; well-known text is human-readable
and is useful for writing tests. These formats are only
useful in R if the information they contain can be
accessed in R, for which high-performance functions
are provided here.
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>),
Edzer Pebesma [aut] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Diff between wk versions 0.3.2 dated 2020-08-03 and 0.3.3 dated 2020-10-13
wk-0.3.2/wk/R/vctrs.R |only wk-0.3.3/wk/DESCRIPTION | 10 +-- wk-0.3.3/wk/MD5 | 47 +++++++++++------ wk-0.3.3/wk/NAMESPACE | 63 ++++++++++++++++++++++++ wk-0.3.3/wk/NEWS.md | 12 ++++ wk-0.3.3/wk/R/compat-sf.R |only wk-0.3.3/wk/R/compat-vctrs.R |only wk-0.3.3/wk/R/plot.R | 9 ++- wk-0.3.3/wk/R/wk-rcrd.R |only wk-0.3.3/wk/R/wk-rct.R |only wk-0.3.3/wk/R/wk-xy.R |only wk-0.3.3/wk/R/zzz.R |only wk-0.3.3/wk/README.md | 37 +++++++------- wk-0.3.3/wk/inst/include/wk/geometry-meta.hpp | 42 ++++++++++++++-- wk-0.3.3/wk/man/new_wk_rct.Rd |only wk-0.3.3/wk/man/new_wk_xy.Rd |only wk-0.3.3/wk/man/plot.wk_wkt.Rd | 9 ++- wk-0.3.3/wk/man/rct.Rd |only wk-0.3.3/wk/man/vctrs-methods.Rd | 26 +++++++++ wk-0.3.3/wk/man/wk-package.Rd | 2 wk-0.3.3/wk/man/xy.Rd |only wk-0.3.3/wk/tests/testthat/Rplots.pdf |binary wk-0.3.3/wk/tests/testthat/test-compat-sf.R |only wk-0.3.3/wk/tests/testthat/test-plot.R | 2 wk-0.3.3/wk/tests/testthat/test-wk-rcrd.R |only wk-0.3.3/wk/tests/testthat/test-wk-rct.R |only wk-0.3.3/wk/tests/testthat/test-wk-vctr.R | 44 ++++++++++++++++ wk-0.3.3/wk/tests/testthat/test-wk-xy.R |only wk-0.3.3/wk/tests/testthat/test-wkb-translate.R | 21 ++++++++ wk-0.3.3/wk/tests/testthat/test-wkb.R | 1 wk-0.3.3/wk/tests/testthat/test-wksxp.R | 1 wk-0.3.3/wk/tests/testthat/test-wkt.R | 1 32 files changed, 276 insertions(+), 51 deletions(-)
Title: Interface to the World Database on Protected Areas
Description: Fetch and clean data from the World Database on Protected
Areas (WDPA). Data is obtained from Protected Planet
<https://www.protectedplanet.net/en>.
Author: Jeffrey O Hanson [aut, cre]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Diff between wdpar versions 1.0.3 dated 2020-07-30 and 1.0.4 dated 2020-10-13
DESCRIPTION | 14 +++--- MD5 | 44 +++++++++++---------- NAMESPACE | 1 NEWS.md | 14 ++++++ R/internal.R | 68 +++++++++++++++++++++++++------- R/package.R | 4 - R/wdpa_clean.R | 4 - R/wdpa_fetch.R | 75 ++++++++++++++++++++++++++---------- R/wdpa_latest_version.R |only R/wdpa_read.R | 4 - R/wdpa_url.R | 16 +++++-- README.md | 17 ++++---- inst/CITATION | 2 inst/doc/wdpar.Rmd | 14 +++--- inst/doc/wdpar.html | 54 +++++++++++++------------ man/figures/README-readme-map-1.png |binary man/wdpa_clean.Rd | 4 - man/wdpa_fetch.Rd | 35 ++++++++++++++-- man/wdpa_latest_version.Rd |only man/wdpa_read.Rd | 4 - man/wdpar.Rd | 4 - tests/testthat/test_internal.R | 10 ++++ tests/testthat/test_wdpa_clean.R | 3 - vignettes/wdpar.Rmd | 14 +++--- 24 files changed, 272 insertions(+), 133 deletions(-)
Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 3,000 scientific articles.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>
Diff between RcmdrPlugin.EZR versions 1.52 dated 2020-08-31 and 1.53 dated 2020-10-13
DESCRIPTION | 8 +- MD5 | 14 +-- NEWS | 4 + R/EZR.R | 214 +++++++++++++++++++++++++++++-------------------------- inst/CHANGES | 4 + inst/doc/ezr.htm | 4 - inst/doc/ezr.pdf |binary man/EZR.Rd | 4 - 8 files changed, 139 insertions(+), 113 deletions(-)
More information about RcmdrPlugin.EZR at CRAN
Permanent link
Title: 'Bielefeld' Academic Search Engine ('BASE') Client
Description: Interface to the API for the 'Bielefeld' Academic Search
Engine ('BASE') (<https://www.base-search.net/>). 'BASE' is a
search engine for more than 150 million scholarly documents from more
than 7000 sources. Methods are provided for searching for documents,
as well as getting information on higher level groupings of documents:
collections and repositories within collections. Search includes
faceting, so you can get a high level overview of number of documents
across a given variable (e.g., year). 'BASE' asks users to respect a
rate limit, but does not enforce it themselves; we enforce that
rate limit.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Diff between rbace versions 0.2.0 dated 2020-09-10 and 0.2.2 dated 2020-10-13
DESCRIPTION | 6 +- MD5 | 25 ++++----- NEWS.md | 8 ++ R/bs_profile.R | 5 - R/bs_repositories.R | 4 - R/bs_search.R | 10 --- R/rbace-package.R | 6 +- R/zzz.R | 16 ----- README.md | 122 +------------------------------------------- man/bs_profile.Rd | 6 -- man/bs_repositories.Rd | 5 - man/bs_search.Rd | 10 --- man/rbace-package.Rd | 6 +- tests/testthat/test-utils.R |only 14 files changed, 35 insertions(+), 194 deletions(-)
Title: Plots to Evaluate the Business Performance of Predictive Models
Description: Plots to assess the quality of predictive models from a business perspective.
Using these plots, it can be shown how implementation of the model will impact business
targets like response on a campaign or return on investment. Different scopes can be selected:
compare models, compare datasets or compare target class values and various plot customization
and highlighting options are available.
targets like response on a campaign. Different scopes can be selected: compare models, compare
datasets or compare target class values and various plot customization and highlighting options
are available.
Author: Jurriaan Nagelkerke [aut, cre],
Pieter Marcus [aut]
Maintainer: Jurriaan Nagelkerke <jurriaan.nagelkerke@gmail.com>
Diff between modelplotr versions 1.0.0 dated 2019-04-24 and 1.1.0 dated 2020-10-13
DESCRIPTION | 8 MD5 | 39 - NAMESPACE | 1 R/dataprepmodelplots.R | 253 +++++++++ R/modelplotr.R | 4 build/vignette.rds |binary inst/doc/modelplotr.R | 74 +- inst/doc/modelplotr.html | 848 ++++++++++++++++++++++----------- man/bank_td.Rd | 6 man/modelplotr.Rd | 5 man/plot_costsrevs.Rd | 17 man/plot_cumgains.Rd | 13 man/plot_cumlift.Rd | 13 man/plot_cumresponse.Rd | 13 man/plot_multiplot.Rd | 11 man/plot_profit.Rd | 17 man/plot_response.Rd | 13 man/plot_roi.Rd | 17 man/plotting_scope.Rd | 11 man/prepare_scores_and_ntiles.Rd | 10 man/prepare_scores_and_ntiles_keras.Rd |only 21 files changed, 994 insertions(+), 379 deletions(-)
Title: A Tidy Data Model for Natural Language Processing
Description: Provides a set of fast tools for converting a textual corpus into
a set of normalized tables. Users may make use of the 'udpipe' back end with
no external dependencies, or two Python back ends with 'spaCy'
<https://spacy.io> or 'CoreNLP' <https://stanfordnlp.github.io/CoreNLP/>.
Exposed annotation tasks include tokenization, part of speech tagging, named
entity recognition, and dependency parsing.
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>
Diff between cleanNLP versions 3.0.2 dated 2020-03-08 and 3.0.3 dated 2020-10-13
cleanNLP-3.0.2/cleanNLP/data/datalist |only cleanNLP-3.0.3/cleanNLP/DESCRIPTION | 12 cleanNLP-3.0.3/cleanNLP/MD5 | 19 cleanNLP-3.0.3/cleanNLP/R/annotate.R | 1 cleanNLP-3.0.3/cleanNLP/R/backend_stringi.R | 2 cleanNLP-3.0.3/cleanNLP/R/init.R | 2 cleanNLP-3.0.3/cleanNLP/R/onLoad.R | 2 cleanNLP-3.0.3/cleanNLP/build/vignette.rds |binary cleanNLP-3.0.3/cleanNLP/inst/doc/state-of-union.html | 979 +++++++++---------- cleanNLP-3.0.3/cleanNLP/inst/doc/wikipedia.html | 560 ++++------ cleanNLP-3.0.3/cleanNLP/man/cleanNLP-package.Rd | 2 11 files changed, 768 insertions(+), 811 deletions(-)
Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>),
JJ Allaire [ctb],
Albert Kim [ctb],
Alessandro Samuel-Rosa [ctb],
Andrzej Oles [ctb],
Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>),
Aust Frederik [ctb] (<https://orcid.org/0000-0003-4900-788X>),
Bastiaan Quast [ctb],
Ben Marwick [ctb],
Chester Ismay [ctb],
Christophe Dervieux [ctb],
Clifton Franklund [ctb],
Daniel Emaasit [ctb],
David Shuman [ctb],
Dean Attali [ctb],
Drew Tyre [ctb],
Ellis Valentiner [ctb],
Frans van Dunne [ctb],
Hadley Wickham [ctb],
Jeff Allen [ctb],
Jennifer Bryan [ctb],
Jonathan McPhers [ctb],
JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>),
Joyce Robbins [ctb],
Junwen Huang [ctb],
Kevin Cheung [ctb],
Kevin Ushey [ctb],
Kim Seonghyun [ctb],
Kirill Muller [ctb],
Luciano Selzer [ctb],
Matthew Lincoln [ctb],
Maximilian Held [ctb],
Michael Sachs [ctb],
Michal Bojanowski [ctb],
Nathan Werth [ctb],
Noam Ross [ctb],
Peter Hickey [ctb],
Romain Lesur [ctb] (<https://orcid.org/0000-0002-0721-5595>),
Sahir Bhatnagar [ctb],
Steve Simpson [ctb],
Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>),
Vincent Fulco [ctb],
Yixuan Qiu [ctb],
Zhuoer Dong [ctb],
RStudio, PBC [cph],
Bartek Szopka [ctb] (The jQuery Highlight plugin),
Zeno Rocha [cph] (clipboard.js library),
jQuery Foundation [cph] (jQuery library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/resources/AUTHORS),
MathQuill contributors [ctb] (The MathQuill library; authors listed in
inst/resources/AUTHORS),
FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>
Diff between bookdown versions 0.20 dated 2020-06-23 and 0.21 dated 2020-10-13
DESCRIPTION | 12 +- MD5 | 43 +++++----- NAMESPACE | 1 R/ebook.R | 22 +++-- R/gitbook.R | 1 R/html.R | 23 +++-- R/latex.R | 4 R/render.R | 33 +++++--- R/utils.R | 101 ++++++++++++++++++++++++- R/word.R | 9 +- README.md | 2 inst/resources/gitbook/css/plugin-bookdown.css | 2 inst/resources/gitbook/js/plugin-sharing.js | 2 inst/rmarkdown |only man/calibre.Rd | 2 man/fence_theorems.Rd |only man/html_document2.Rd | 18 ++-- man/kindlegen.Rd | 10 +- man/render_book.Rd | 19 +++- man/serve_book.Rd | 2 tests/rmd/_bookdown.yml |only tests/rmd/custom-environments.Rmd |only tests/rmd/number-sections.Rmd |only tests/test-rmd.R | 36 +++++++- tests/testit/test-utils.R | 54 +++++++++++++ 25 files changed, 306 insertions(+), 90 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-27 1.0.2
2018-02-07 1.0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-26 1.0.1
2018-01-03 0.2
2016-12-08 0.1.1
2016-04-22 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-08-03 0.2.2
2020-07-30 0.2.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-04-09 1.0