Title: Crowd Sourced System Benchmarks
Description: Benchmark your CPU and compare against other CPUs.
Also provides functions for obtaining system specifications, such as
RAM, CPU type, and R version.
Author: Colin Gillespie [aut, cre] (<https://orcid.org/0000-0003-1787-0275>)
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Diff between benchmarkme versions 1.0.3 dated 2019-11-09 and 1.0.4 dated 2020-05-09
DESCRIPTION | 10 +-- MD5 | 96 ++++++++++++++++++------------------ NAMESPACE | 1 NEWS.md | 5 + R/benchmark_io.R | 50 +++++++++--------- R/benchmark_matrix_calculations.R | 23 ++++---- R/benchmark_matrix_functions.R | 24 ++++----- R/benchmark_parallel.R | 24 ++++----- R/benchmark_programming.R | 20 +++---- R/benchmark_std.R | 12 ++-- R/benchmarkme-package.R | 10 +-- R/benchmarks.R | 20 +++---- R/clean_ram_output.R | 4 - R/datatable.R | 22 ++++---- R/get_byte_compiler.R | 14 ++--- R/get_cpu.R | 12 ++-- R/get_hard_disk.R | 8 +-- R/get_linear_algebra.R | 4 - R/get_platform_info.R | 2 R/get_r_version.R | 2 R/get_ram.R | 27 ++++++---- R/get_sys_details.R | 30 +++++------ R/global_variables.R | 2 R/plot_results.R | 54 ++++++++++---------- R/rank_results.R | 20 +++---- R/upload_results.R | 28 +++++----- R/zzz.R | 4 - README.md | 12 +--- build/vignette.rds |binary inst/doc/a_introduction.R | 24 ++++----- inst/doc/a_introduction.html | 71 +++++++++++++------------- man/benchmark_io.Rd | 19 ++++--- man/benchmark_std.Rd | 2 man/benchmarkme-package.Rd | 6 +- man/bm_matrix_cal_manip.Rd | 4 - man/bm_matrix_fun_fft.Rd | 4 - man/bm_parallel.Rd | 6 +- man/bm_prog_fib.Rd | 2 man/get_byte_compiler.Rd | 2 man/get_cpu.Rd | 2 man/get_ram.Rd | 7 +- man/get_sys_details.Rd | 20 +++++-- man/plot.ben_results.Rd | 17 ++++-- man/rank_results.Rd | 13 +++- man/reexports.Rd | 2 man/sample_results.Rd | 4 + man/upload_results.Rd | 16 +++--- tests/testthat/test-bm_parallel.R | 4 - tests/testthat/test-byte_compiler.R | 2 49 files changed, 401 insertions(+), 366 deletions(-)
Title: Query 'R' Data Frames with 'SQL'
Description: Use 'SQL' 'SELECT' statements to query 'R' data frames.
Author: Ian Cook [aut, cre],
Cloudera [cph]
Maintainer: Ian Cook <ian@cloudera.com>
Diff between tidyquery versions 0.2.0 dated 2020-01-20 and 0.2.1 dated 2020-05-09
DESCRIPTION | 10 +++++----- MD5 | 15 ++++++++------- NEWS.md | 6 ++++++ R/compat.R | 4 +++- R/join.R | 2 +- tests/testthat/setup-load_data.R | 4 +++- tests/testthat/test-aggregate.R | 19 ++++++++++++++++++- tests/testthat/test-dtplyr.R | 1 + tests/testthat/test-environments.R |only 9 files changed, 45 insertions(+), 16 deletions(-)
Title: Weighted Rank Aggregation
Description: Performs aggregation of ordered lists based
on the ranks using several different algorithms:
Cross-Entropy Monte Carlo algorithm, Genetic algorithm, and a
brute force algorithm (for small problems).
Author: Vasyl Pihur <vpihur@gmail.com>, Somnath Datta
<somnath.datta@louisville.edu>, Susmita Datta
<susmita.datta@louisville.edu>
Maintainer: Vasyl Pihur <vpihur@gmail.com>
Diff between RankAggreg versions 0.6.5 dated 2018-05-14 and 0.6.6 dated 2020-05-09
ChangeLog | 3 +++ DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- build/vignette.rds |binary inst/doc/RankAggreg.R | 46 ++++++++++++++++++++++++---------------------- inst/doc/RankAggreg.Rnw | 2 ++ inst/doc/RankAggreg.pdf |binary vignettes/RankAggreg.Rnw | 2 ++ 8 files changed, 42 insertions(+), 33 deletions(-)
Title: Emulate LEGO Bricks in 2D and 3D
Description: Generate digital LEGO models using 'tidyverse' functions.
Convert image files into 2D and 3D LEGO mosaics, complete with piece counts and instructions.
Render 3D models using simple data frame instructions.
Developed under the LEGO Group's Fair Play policy <https://www.lego.com/en-us/legal/notices-and-policies/fair-play/>.
Author: Ryan Timpe [aut, cre]
Maintainer: Ryan Timpe <ryan.timpe@gmail.com>
Diff between brickr versions 0.3.2 dated 2020-04-06 and 0.3.4 dated 2020-05-09
DESCRIPTION | 8 - MD5 | 34 ++--- NAMESPACE | 2 NEWS.md | 10 + R/brickr.R | 1 R/bricks-from-tables.R | 1 R/collect-bricks.R | 19 ++- R/image-to-mosaic.R | 3 R/image-to-prep-mosaic.R | 43 +++++-- README.md | 11 + inst/doc/models-from-program.html | 6 - man/brickr-ggproto.Rd | 18 +-- man/brickr.Rd | 16 +- man/bricks_from_excel.Rd | 181 +++++++++++++++---------------- man/image_to_mosaic.Rd | 217 +++++++++++++++++++------------------- man/lego_colors.Rd | 60 +++++----- man/pipe.Rd | 22 +-- man/scaled_to_colors.Rd | 66 +++++------ 18 files changed, 388 insertions(+), 330 deletions(-)
Title: Functions for Common Chart Types
Description: Wrapper for the 'ggplot2' package that creates a variety of common
charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce
typing.
Author: Wojtek Kostelecki
Maintainer: Wojtek Kostelecki <wojtek.kostelecki@gmail.com>
Diff between ezplot versions 0.4.1 dated 2020-04-25 and 0.5.0 dated 2020-05-09
DESCRIPTION | 15 +++---- MD5 | 58 ++++++++++++++++++--------- NAMESPACE | 4 + NEWS.md | 7 +++ R/bar_plot.R | 4 - R/density_plot.R |only R/histogram_plot.R |only R/lift_plot.R |only R/pr_plot.R |only R/side_plot.R | 22 +++++----- R/variable_plot.R | 20 +++++---- R/waterfall_plot.R | 8 +-- README.md | 64 ++++++++++++++++++++++++++++++ build/vignette.rds |binary inst/doc/basics.html | 8 +-- inst/doc/overview.html | 4 - man/density_plot.Rd |only man/figures/README-bar_plot-1-1.png |binary man/figures/README-bar_plot-2-1.png |binary man/figures/README-bar_plot-3-1.png |binary man/figures/README-density_plot-1-1.png |only man/figures/README-histogram_plot-1-1.png |only man/figures/README-roc_plot-1-1.png |only man/figures/README-roc_plot-1-2.png |only man/figures/README-roc_plot-1-3.png |only man/figures/README-roc_plot-1-4.png |only man/figures/README-roc_plot-1-5.png |only man/figures/README-roc_plot-1-6.png |only man/figures/README-side_plot-1-1.png |binary man/figures/README-waterfall_plot-1-1.png |binary man/histogram_plot.Rd |only man/lift_plot.Rd |only man/perf.Rd |only man/pr_plot.Rd |only man/prec_rec.Rd |only man/side_plot.Rd | 4 - man/variable_plot.Rd | 11 +++-- man/waterfall_plot.Rd | 2 tests/testthat/test-classification_plot.R |only tests/testthat/test-distribution_plot_2.R |only 40 files changed, 167 insertions(+), 64 deletions(-)
Title: Miscellaneous Tools for Chinese Text Mining and More
Description: Efforts are made to make Chinese text mining easier, faster, and robust to errors.
Document term matrix can be generated by only one line of code; detecting encoding,
segmenting and removing stop words are done automatically.
Some convenient tools are also supplied.
Author: Jiang Wu [aut, cre] (from Capital Normal University)
Maintainer: Jiang Wu <textidea@sina.com>
Diff between chinese.misc versions 0.2.1 dated 2019-06-08 and 0.2.2 dated 2020-05-09
DESCRIPTION | 10 ++++----- MD5 | 46 +++++++++++++++++++++++---------------------- NAMESPACE | 1 R/CQUOTE.R |only R/V.R | 2 - R/VC.R | 2 - R/VCR.R | 2 - R/VR.R | 2 - R/VRC.R | 2 - R/slim_text.R | 5 +++- man/CQUOTE.Rd |only man/DEFAULT_control1.Rd | 4 ++- man/DEFAULT_control2.Rd | 4 ++- man/DEFAULT_cutter.Rd | 4 ++- man/corp_or_dtm.Rd | 20 ++++++++++++++----- man/csv2txt.Rd | 12 +++++++++-- man/dictionary_dtm.Rd | 10 +++++++-- man/get_tag_word.Rd | 14 ++++++++++--- man/is_character_vector.Rd | 2 - man/is_positive_integer.Rd | 2 - man/scancn.Rd | 2 - man/seg_file.Rd | 16 +++++++++++---- man/slim_text.Rd | 16 ++++++++++++--- man/sort_tf.Rd | 3 -- man/word_cor.Rd | 3 -- 25 files changed, 122 insertions(+), 62 deletions(-)
Title: Implicit Association Test Scores Using Robust Statistics
Description: Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Greenwald, Nosek, Banaji, 2003, <doi:10.1037/0022-3514.85.2.197>) and the new scores that were developed using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt, 2015, <doi:10.1371/journal.pone.0129601>).
Author: Giulio Costantini
Maintainer: Giulio Costantini <costantinigiulio@gmail.com>
Diff between IATscores versions 0.2.4 dated 2019-12-18 and 0.2.7 dated 2020-05-09
DESCRIPTION | 14 +++++++------- MD5 | 6 +++--- NAMESPACE | 2 +- NEWS.md | 8 ++++++++ 4 files changed, 19 insertions(+), 11 deletions(-)
Title: Tidy Data Validation Reports
Description: Tools for creating data validation pipelines and
tidy reports. This package offers a framework for exploring and
validating data frame like objects using 'dplyr' grammar of data
manipulation.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>
Diff between ruler versions 0.2.2 dated 2020-03-02 and 0.2.3 dated 2020-05-09
DESCRIPTION | 8 ++-- MD5 | 24 ++++++------ NEWS.md | 4 ++ R/expose-helpers.R | 8 +++- README.md | 1 build/vignette.rds |binary inst/doc/design-and-format.html | 4 +- inst/doc/rule-packs.html | 68 ++++++++++++++++++----------------- inst/doc/validation.html | 4 +- man/bind_exposures.Rd | 5 +- tests/testthat/test-actions.R | 3 + tests/testthat/test-expose-helpers.R | 17 -------- tests/testthat/test-exposure.R | 52 +++++++++++++++----------- 13 files changed, 102 insertions(+), 96 deletions(-)
More information about latticeDensity at CRAN
Permanent link
Title: Convert R Graphics to Flash Animations
Description: Using the 'Ming' library
<http://www.libming.org/> to create Flash animations.
Users can either use the 'SWF' device swf() to generate 'SWF' file
directly through plotting functions like plot() and lines(),
or convert images of other formats ('SVG', 'PNG', 'JPEG') into 'SWF'.
Author: Yixuan Qiu, Yihui Xie, Cameron Bracken and authors of included
software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Diff between R2SWF versions 0.9-2 dated 2017-08-31 and 0.9-3 dated 2020-05-09
DESCRIPTION | 10 +++--- MD5 | 42 ++++++++++++++-------------- R/svg2swf.R | 2 - R/swf2html.R | 4 ++ R/swfDevice.R | 4 ++ R/xx2swf.R | 6 ++-- inst/NEWS.Rd | 9 ++++++ man/dev2swf.Rd | 14 +++++++-- man/file2swf.Rd | 2 - man/image2swf.Rd | 2 - man/svg2swf.Rd | 2 - man/swf.Rd | 14 +++++++-- man/swf2html.Rd | 4 ++ src/Makevars.win | 2 - src/libming/actioncompiler/lex.swf4.c | 6 ++-- src/libming/actioncompiler/listaction.c | 22 ++++++++++++-- src/libming/blocks/fromswf.c | 48 +++++++++++++++++++++----------- src/libming/blocks/gifdbl.c | 13 ++++++++ src/libming/blocks/shape.c | 2 - src/libming/gc.c | 2 - src/libming/gc.h | 2 - src/libming/libming.h | 12 ++++---- 22 files changed, 150 insertions(+), 74 deletions(-)
Title: Read Untidy Excel Files
Description: Imports non-tabular from Excel files into R. Exposes cell content,
position and formatting in a tidy structure for further manipulation.
Tokenizes Excel formulas. Supports '.xlsx' and '.xlsm' via the embedded
'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Does not support
'.xlsb' or '.xls'.
Author: Duncan Garmonsway [aut, cre],
Hadley Wickham [ctb] (Author of included readxl fragments),
Jenny Bryan [ctb] (Author of included readxl fragments),
RStudio [cph] (Copyright holder of included readxl fragments),
Marcin Kalicinski [ctb, cph] (Author of included RapidXML code)
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>
Diff between tidyxl versions 1.0.5 dated 2020-04-02 and 1.0.6 dated 2020-05-09
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 4 ++++ build/vignette.rds |binary inst/doc/data-validation-rules.html | 23 ++++++++++++++++++----- inst/doc/smells.html | 19 ++++++++++++++++--- inst/doc/tidyxl.html | 21 +++++++++++++++++---- src/ref.cpp | 8 ++++---- 8 files changed, 69 insertions(+), 26 deletions(-)
Title: Some Additional Multiple Imputation Functions, Especially for
'mice'
Description: Contains functions for multiple imputation which
complements existing functionality in R.
In particular, several imputation methods for the
mice package (van Buuren & Groothuis-Oudshoorn, 2011,
<doi:10.18637/jss.v045.i03>) are included.
Main features of the miceadds package include
plausible value imputation (Mislevy, 1991,
<doi:10.1007/BF02294457>), multilevel imputation for
variables at any level or with any number of hierarchical
and non-hierarchical levels (Grund, Luedtke & Robitzsch,
2018, <doi:10.1177/1094428117703686>; van Buuren, 2018,
Ch.7, <doi:10.1201/9780429492259>), imputation using
partial least squares (PLS) for high dimensional
predictors (Robitzsch, Pham & Yanagida, 2016),
nested multiple imputation (Rubin, 2003,
<doi:10.1111/1467-9574.00217>) and substantive model
compatible imputation (Bartlett et al., 2015,
<doi:10.1177/0962280214521348>).
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut],
Thorsten Henke [ctb]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between miceadds versions 3.8-9 dated 2020-02-17 and 3.9-14 dated 2020-05-09
DESCRIPTION | 14 ++--- MD5 | 39 +++++++++------- NAMESPACE | 3 + R/ANSI_create_table.R | 34 ++++++------- R/RcppExports.R | 2 R/mice.impute.bygroup.R | 2 R/mice.impute.imputeR.cFun.R |only R/mice.impute.imputeR.lmFun.R |only R/mice.impute.simputation.R |only R/mice.impute.smcfcs.R | 23 ++++++++- R/mice_imputation_imputeR.R |only R/mice_imputation_smcfcs_estimate_model.R | 2 R/mice_imputation_smcfcs_evaluate_loglikelihood.R | 8 ++- R/mice_imputation_smcfcs_evaluate_loglikelihood_model.R | 2 R/mice_impute_imputeR_draw_bootstrap.R |only R/subset_datlist.R | 2 R/subset_datlist_modify_factor_levels.R | 4 - build/partial.rdb |binary inst/NEWS | 16 ++++++ man/mice.impute.imputeR.lmFun.Rd |only man/mice.impute.simputation.Rd |only man/mice.impute.smcfcs.Rd | 32 ++++++++++++- man/miceadds-package.Rd | 10 ++-- src/RcppExports.cpp | 2 24 files changed, 137 insertions(+), 58 deletions(-)
Title: Extend 'tinytest' with 'diffobj'
Description: The 'tinytest' package offers a light-weight zero-dependency unit-testing
framework to which this package adds support of the 'diffobj' package for 'diff'-style
comparison of R objects.
Author: Dirk Eddelbuettel and Alton Barbehenn
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between ttdo versions 0.0.4 dated 2019-11-18 and 0.0.5 dated 2020-05-09
ChangeLog | 10 ++++++++++ DESCRIPTION | 10 +++++----- MD5 | 14 +++++++------- R/expectations_xl.R | 2 ++ R/methods.R | 13 ++++++++++--- README.md | 4 +++- man/makeDataFrame.Rd | 8 ++++++-- man/ttdo_boolean_and_message_tests.Rd | 31 ++++++++++++++++++++++++++----- 8 files changed, 69 insertions(+), 23 deletions(-)
Title: The Reinert Method for Textual Data Clustering
Description: An R implementation of the Reinert text clustering method. For more
details about the algorithm see the included vignettes or Reinert (1990)
<doi:10.1177/075910639002600103>.
Author: Julien Barnier [aut, cre],
Florian Privé [ctb]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>
Diff between rainette versions 0.1 dated 2020-03-25 and 0.1.1 dated 2020-05-09
DESCRIPTION | 8 +- MD5 | 30 +++++----- NEWS.md | 6 ++ R/keyness.R | 4 - R/rainette.R | 2 R/rainette2.R | 8 ++ R/rainette_explor.R | 2 README.md | 9 ++- build/vignette.rds |binary inst/doc/algorithmes.html | 4 - inst/doc/introduction_en.html | 88 ++++++++++++++++------------- inst/doc/introduction_usage.html | 116 ++++++++++++++++++++++----------------- man/rainette.Rd | 2 man/rainette2.Rd | 2 man/rainette_explor.Rd | 2 tests/testthat/test_keyness.R | 19 +++--- 16 files changed, 173 insertions(+), 129 deletions(-)
Title: Calculation of Accumulated Cost Surface and Least-Cost Paths
Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface and least-cost paths using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Diff between movecost versions 0.3 dated 2019-11-29 and 0.4 dated 2020-05-09
DESCRIPTION | 10 ++++----- MD5 | 14 ++++++------ NEWS.md | 4 +++ R/movecost.R | 30 +++++++++++++++++---------- README.md | 5 +++- man/destin.loc.Rd | 4 ++- man/movecost.Rd | 59 +++++++++++++++++++++++++++++++++++++++++++----------- man/volc.loc.Rd | 4 ++- 8 files changed, 93 insertions(+), 37 deletions(-)
Title: Store Data About Rows
Description: Tools for keeping track of information, named
"keys", about rows of data frame like objects. This is done by
creating special attribute "keys" which is updated after every change
in rows (subsetting, ordering, etc.). This package is designed to
work tightly with 'dplyr' package.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>
Diff between keyholder versions 0.1.4 dated 2020-03-01 and 0.1.5 dated 2020-05-09
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NAMESPACE | 2 +- NEWS.md | 4 ++++ R/keyed-df-one-tbl.R | 11 +++++++---- R/keyed-df-two-tbl.R | 6 +++++- README.md | 15 ++++++++++++--- build/vignette.rds |binary inst/doc/introduction.html | 4 ++-- man/keyed-df-one-tbl.Rd | 6 ++---- tests/testthat/test-keyed-df-one-tbl.R | 13 ++++++++++++- 11 files changed, 59 insertions(+), 30 deletions(-)
Title: Bayesian Network Structure Learning from Data with Missing
Values
Description: Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Parents-and-Children, the Hill-Climbing, the
Max-Min Hill-climbing heuristic searches, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.
Author: Francesco Sambo [aut],
Alberto Franzin [aut, cre]
Maintainer: Alberto Franzin <afranzin@ulb.ac.be>
Diff between bnstruct versions 1.0.6 dated 2019-07-09 and 1.0.7 dated 2020-05-09
bnstruct-1.0.6/bnstruct/NEWS |only bnstruct-1.0.6/bnstruct/inst/scripts |only bnstruct-1.0.7/bnstruct/DESCRIPTION | 10 bnstruct-1.0.7/bnstruct/MD5 | 171 ++++++++-------- bnstruct-1.0.7/bnstruct/NAMESPACE | 2 bnstruct-1.0.7/bnstruct/NEWS.md |only bnstruct-1.0.7/bnstruct/R/AllClasses.R | 10 bnstruct-1.0.7/bnstruct/R/AllGenerics.R | 57 +++++ bnstruct-1.0.7/bnstruct/R/BN-methods.R | 20 + bnstruct-1.0.7/bnstruct/R/BNDataset-methods.R | 10 bnstruct-1.0.7/bnstruct/R/InferenceEngine-methods.R | 70 ++++++ bnstruct-1.0.7/bnstruct/R/beliefPropagation-methods.R | 64 +++-- bnstruct-1.0.7/bnstruct/R/buildJunctionTree-methods.R | 2 bnstruct-1.0.7/bnstruct/R/em.R | 9 bnstruct-1.0.7/bnstruct/R/imputation.R | 6 bnstruct-1.0.7/bnstruct/R/io-methods.R | 30 ++ bnstruct-1.0.7/bnstruct/R/learn-methods.R | 6 bnstruct-1.0.7/bnstruct/README.md | 2 bnstruct-1.0.7/bnstruct/build/vignette.rds |binary bnstruct-1.0.7/bnstruct/inst/doc/bnstruct.R | 83 ++++--- bnstruct-1.0.7/bnstruct/inst/doc/bnstruct.Rnw | 26 ++ bnstruct-1.0.7/bnstruct/inst/doc/bnstruct.pdf |binary bnstruct-1.0.7/bnstruct/man/BNDataset-class.Rd | 2 bnstruct-1.0.7/bnstruct/man/InferenceEngine-class.Rd | 10 bnstruct-1.0.7/bnstruct/man/asia_10000.Rd | 4 bnstruct-1.0.7/bnstruct/man/belief.propagation.Rd | 8 bnstruct-1.0.7/bnstruct/man/bn-method.Rd | 1 bnstruct-1.0.7/bnstruct/man/boot.Rd | 4 bnstruct-1.0.7/bnstruct/man/boots.Rd | 1 bnstruct-1.0.7/bnstruct/man/bootstrap.Rd | 7 bnstruct-1.0.7/bnstruct/man/build.junction.tree.Rd | 1 bnstruct-1.0.7/bnstruct/man/child_NA_5000.Rd | 4 bnstruct-1.0.7/bnstruct/man/complete.Rd | 4 bnstruct-1.0.7/bnstruct/man/cpts.Rd | 1 bnstruct-1.0.7/bnstruct/man/dag.Rd | 1 bnstruct-1.0.7/bnstruct/man/data.file.Rd | 1 bnstruct-1.0.7/bnstruct/man/discreteness.Rd | 1 bnstruct-1.0.7/bnstruct/man/em.Rd | 4 bnstruct-1.0.7/bnstruct/man/get.most.probable.values.Rd | 4 bnstruct-1.0.7/bnstruct/man/has.boots.Rd | 1 bnstruct-1.0.7/bnstruct/man/has.imputed.boots.Rd | 1 bnstruct-1.0.7/bnstruct/man/has.imputed.data.Rd | 1 bnstruct-1.0.7/bnstruct/man/has.raw.data.Rd | 1 bnstruct-1.0.7/bnstruct/man/header.file.Rd | 1 bnstruct-1.0.7/bnstruct/man/imp.boots.Rd | 1 bnstruct-1.0.7/bnstruct/man/impute.Rd | 1 bnstruct-1.0.7/bnstruct/man/imputed.data.Rd | 1 bnstruct-1.0.7/bnstruct/man/interventions-set.Rd |only bnstruct-1.0.7/bnstruct/man/interventions.Rd |only bnstruct-1.0.7/bnstruct/man/jpts.Rd | 1 bnstruct-1.0.7/bnstruct/man/jt.cliques.Rd | 1 bnstruct-1.0.7/bnstruct/man/junction.tree.Rd | 1 bnstruct-1.0.7/bnstruct/man/knn.impute.Rd | 13 - bnstruct-1.0.7/bnstruct/man/layering.Rd | 1 bnstruct-1.0.7/bnstruct/man/learn.dynamic.network.Rd | 60 ++++- bnstruct-1.0.7/bnstruct/man/learn.network.Rd | 56 +++-- bnstruct-1.0.7/bnstruct/man/learn.params.Rd | 4 bnstruct-1.0.7/bnstruct/man/learn.structure.Rd | 57 +++-- bnstruct-1.0.7/bnstruct/man/marginals.Rd | 1 bnstruct-1.0.7/bnstruct/man/name.Rd | 1 bnstruct-1.0.7/bnstruct/man/node.sizes.Rd | 1 bnstruct-1.0.7/bnstruct/man/num.boots.Rd | 1 bnstruct-1.0.7/bnstruct/man/num.items.Rd | 1 bnstruct-1.0.7/bnstruct/man/num.nodes.Rd | 1 bnstruct-1.0.7/bnstruct/man/num.time.steps.Rd | 1 bnstruct-1.0.7/bnstruct/man/num.variables.Rd | 1 bnstruct-1.0.7/bnstruct/man/observations.Rd | 1 bnstruct-1.0.7/bnstruct/man/plot.Rd | 14 + bnstruct-1.0.7/bnstruct/man/print.Rd | 3 bnstruct-1.0.7/bnstruct/man/quantiles.Rd | 1 bnstruct-1.0.7/bnstruct/man/raw.data.Rd | 1 bnstruct-1.0.7/bnstruct/man/read.bif.Rd | 1 bnstruct-1.0.7/bnstruct/man/read.dataset.Rd | 31 ++ bnstruct-1.0.7/bnstruct/man/read.dsc.Rd | 1 bnstruct-1.0.7/bnstruct/man/read.net.Rd | 1 bnstruct-1.0.7/bnstruct/man/sample.dataset.Rd | 1 bnstruct-1.0.7/bnstruct/man/sample.row.Rd | 1 bnstruct-1.0.7/bnstruct/man/save.to.eps.Rd | 1 bnstruct-1.0.7/bnstruct/man/scoring.func.Rd | 1 bnstruct-1.0.7/bnstruct/man/struct.algo.Rd | 1 bnstruct-1.0.7/bnstruct/man/test.updated.bn.Rd | 8 bnstruct-1.0.7/bnstruct/man/tune.knn.impute.Rd | 13 - bnstruct-1.0.7/bnstruct/man/updated.bn-method.Rd | 1 bnstruct-1.0.7/bnstruct/man/variables.Rd | 1 bnstruct-1.0.7/bnstruct/man/wpdag.Rd | 1 bnstruct-1.0.7/bnstruct/man/wpdag.from.dag.Rd | 1 bnstruct-1.0.7/bnstruct/man/write.dsc.Rd | 1 bnstruct-1.0.7/bnstruct/man/write_xgmml.Rd | 23 +- bnstruct-1.0.7/bnstruct/vignettes/bnstruct.Rnw | 26 ++ 89 files changed, 653 insertions(+), 327 deletions(-)
Title: Some Latent Variable Models
Description: Includes some procedures for latent variable modeling with a
particular focus on multilevel data.
The 'LAM' package contains mean and covariance structure modelling
for multivariate normally distributed data (mlnormal(); Longford, 1987;
<doi:10.1093/biomet/74.4.817>), a general Metropolis-Hastings algorithm
(amh(); Roberts & Rosenthal, 2001, <doi:10.1214/ss/1015346320>) and
penalized maximum likelihood estimation (pmle(); Cole, Chu & Greenland,
2014; <doi:10.1093/aje/kwt245>).
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Diff between LAM versions 0.4-17 dated 2019-05-06 and 0.5-15 dated 2020-05-09
DESCRIPTION | 8 +++---- MD5 | 40 ++++++++++++++++++++------------------- R/RcppExports.R | 2 - R/amh.R | 13 ++++++------ R/amh_proposal_refresh.R | 10 +++------ R/amh_sampling.R | 29 ++++++++++++++++------------ R/amh_sampling_boundary_values.R |only R/lam_print_summary_ic_penalty.R |only R/plot.amh.R | 4 +-- R/pmle.R | 16 +++++++++++---- R/pmle_eval_posterior.R | 24 ++++++++++++----------- R/summary.amh.R | 37 ++++++++++++++++++++---------------- R/summary.pmle.R | 34 ++++++++++++++++----------------- README.md | 4 +++ build/partial.rdb |binary data/data.HT12.rda |binary inst/NEWS | 13 ++++++++++++ man/LAM-package.Rd | 5 +++- man/amh.Rd | 8 +++++-- man/clpm_to_ctm.Rd | 20 +++++++++---------- man/mlnormal.Rd | 7 +++++- src/RcppExports.cpp | 2 - 22 files changed, 163 insertions(+), 113 deletions(-)
Title: Manage Competition Results
Description: Tools for storing and managing competition results.
Competition is understood as a set of games in which players gain some
abstract scores. There are two ways for storing results: in long (one
row per game-player) and wide (one row per game with fixed amount of
players) formats. This package provides functions for creation and
conversion between them. Also there are functions for computing their
summary and Head-to-Head values for players. They leverage grammar of
data manipulation from 'dplyr'.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>
Diff between comperes versions 0.2.3 dated 2019-12-14 and 0.2.4 dated 2020-05-09
DESCRIPTION | 8 +- MD5 | 26 +++--- NEWS.md | 10 +- R/pairgames.R | 3 README.md | 137 +++++++++++++++++++++++------------ build/vignette.rds |binary inst/doc/formats.html | 15 +-- inst/doc/manipulation.html | 15 +-- man/h2h_funs.Rd | 4 - man/hp_survey.Rd | 6 + man/ncaa2005.Rd | 6 + man/summary_funs.Rd | 4 - tests/testthat/test-results-widecr.R | 6 + tests/testthat/test-utils.R | 2 14 files changed, 146 insertions(+), 96 deletions(-)
Title: Statistical Analysis of Textual Data
Description: Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. See <http://www.xplortext.org> for examples.
Author: Mónica Bécue-Bertaut, Ramón Alvarez-Esteban, Josep-Anton Sánchez-Espigares, Belchin Kostov
Maintainer: Ramón Alvarez-Esteban <ramon.alvarez@unileon.es>
Diff between Xplortext versions 1.3.1 dated 2020-04-04 and 1.3.2 dated 2020-05-09
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++++------- R/LexGalt.R |only R/LexHCca.R | 17 +++++++++++------ R/plot.LexCA.R | 35 +++++++++++++++++++++-------------- R/plot.LexGalt.R |only build/partial.rdb |binary inst/Xplortext.pdf |binary man/LabelTree.Rd | 2 +- man/LexGalt.Rd |only man/Xplortext-package.Rd | 4 ++-- man/plot.LexGalt.Rd |only 12 files changed, 50 insertions(+), 34 deletions(-)
Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType',
'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output
formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted
into polygons or raster images, hence after the plot has been created, it no
longer relies on the font files. No external software such as 'Ghostscript' is
needed to use this package.
Author: Yixuan Qiu and authors/contributors of the
included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Diff between showtext versions 0.7-1 dated 2020-01-27 and 0.8 dated 2020-05-09
DESCRIPTION | 10 ++--- MD5 | 26 +++++++------ R/showtext.R | 28 ++++++++++++-- README.md | 88 +++++++++++++++++++++++++++++++-------------- build/vignette.rds |binary inst/NEWS.Rd | 10 +++++ inst/doc/introduction.R | 3 + inst/doc/introduction.Rmd | 26 +++++++++++-- inst/doc/introduction.html | 47 +++++++++++++++++------- src/Makevars.win | 2 - src/cairodev.c |only src/cairodev.h |only src/register_routines.c | 16 ++++---- src/showtext.c | 8 ++-- vignettes/introduction.Rmd | 26 +++++++++++-- 15 files changed, 209 insertions(+), 81 deletions(-)
Title: R-Squared and Related Measures
Description: Calculate generalized R-squared, partial R-squared, and partial correlation coefficients for generalized linear (mixed) models (including quasi models with well defined variance functions).
Author: Dabao Zhang
Maintainer: Dabao Zhang <zhangdb@stat.purdue.edu>
Diff between rsq versions 1.1 dated 2018-09-27 and 2.0 dated 2020-05-09
DESCRIPTION | 12 MD5 | 30 + NAMESPACE | 11 R/rsq.R | 802 +++++++++++++++++++++++++++++++++++++---------------- man/lifetime.Rd | 2 man/pcor.Rd | 2 man/rsq.Rd | 39 +- man/rsq.glmm.Rd |only man/rsq.kl.Rd | 2 man/rsq.lmm.Rd |only man/rsq.lr.Rd | 3 man/rsq.n.Rd | 3 man/rsq.partial.Rd | 2 man/rsq.sse.Rd | 3 man/rsq.v.Rd | 41 +- man/simglm.Rd | 2 man/simglmm.Rd |only man/vresidual.Rd |only 18 files changed, 651 insertions(+), 303 deletions(-)
Title: Geographically-Weighted Models
Description: Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al. 2002)<doi: 10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al. 2011)<doi: 10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al. 2007)<doi: 10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al. 1996)<doi: 10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[aut],Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>
Diff between GWmodel versions 2.1-3 dated 2019-07-15 and 2.1-4 dated 2020-05-09
DESCRIPTION | 8 ++++---- MD5 | 22 +++++++++++++--------- R/BootstrapGWR.r | 5 +++-- R/gwda.r | 25 +++++++++++++++++++++++++ R/gwr.basic.r | 36 +++++++++++++++++++++++++----------- R/gwr.multiscale.R | 4 +++- R/zzz.r | 2 +- data/EN_CB.rda |only data/GE2015.rda |only data/datalist | 2 ++ man/EN_CB.rd |only man/GE2015.rd |only man/GWmodel-package.Rd | 4 ++-- man/gwda.rd | 22 ++++++++++++++++++++-- 14 files changed, 98 insertions(+), 32 deletions(-)
Title: Geometry Decomposition
Description: Build a map of path-based geometry, this is a simple description of the number
of parts in an object and their basic structure. Translation and restructuring operations for
planar shapes and other hierarchical types require a data model with a record of the underlying
relationships between elements. The gibble() function creates a geometry map, a simple record of
the underlying structure in path-based hierarchical types. There are methods for the planar shape
types in the 'sf' and 'sp' packages and for types in the 'trip' and 'silicate' packages.
Author: Michael Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>)
Maintainer: Michael Sumner <mdsumner@gmail.com>
Diff between gibble versions 0.3.0 dated 2020-01-30 and 0.4.0 dated 2020-05-09
DESCRIPTION | 14 +++-- MD5 | 12 ++-- NEWS.md | 4 + R/gibble-sf.R | 114 ++++++++++++++++++++++++------------------- R/ibble-sf.R | 100 +++++++++++++++++++++---------------- build/vignette.rds |binary inst/doc/what-is-gibble.html | 76 ++++++++++++++-------------- 7 files changed, 178 insertions(+), 142 deletions(-)
Title: Methods for Image-Based Cell Profiling
Description: Typical morphological profiling datasets have millions of cells
and hundreds of features per cell. When working with this data, you must
clean the data, normalize the features to make them comparable across
experiments, transform the features, select features based on their
quality, and aggregate the single-cell data, if needed. 'cytominer' makes
these steps fast and easy. Methods used in practice in the field are
discussed in Caicedo (2017) <doi:10.1038/nmeth.4397>. An overview of the
field is presented in Caicedo (2016) <doi:10.1016/j.copbio.2016.04.003>.
Author: Tim Becker [aut],
Allen Goodman [aut],
Claire McQuin [aut],
Mohammad Rohban [aut],
Shantanu Singh [aut, cre]
Maintainer: Shantanu Singh <shsingh@broadinstitute.org>
Diff between cytominer versions 0.2.1 dated 2020-03-23 and 0.2.2 dated 2020-05-09
DESCRIPTION | 8 MD5 | 66 ++--- NEWS.md | 5 R/aggregate.R | 2 R/drop_na_rows.R | 17 - R/extract_subpopulations.R | 2 R/normalize.R | 11 R/replicate_correlation.R | 2 R/svd_entropy.R | 1 R/transform.R | 2 R/variable_importance.R | 2 R/variable_select.R | 2 R/variance_threshold.R | 6 build/vignette.rds |binary inst/doc/cytominer-pipeline.R | 41 +-- inst/doc/cytominer-pipeline.Rmd | 8 inst/doc/cytominer-pipeline.html | 281 +++++++++++++------------ man/aggregate.Rd | 10 man/correlation_threshold.Rd | 3 man/drop_na_rows.Rd | 6 man/normalize.Rd | 10 man/replicate_correlation.Rd | 11 man/variable_importance.Rd | 8 man/variable_select.Rd | 9 tests/testthat/test-aggregate.R | 27 +- tests/testthat/test-cytominer.R | 70 ++++++ tests/testthat/test-drop_na_rows.R | 10 tests/testthat/test-extract_subpopulations.R | 18 + tests/testthat/test-generalized_log.R | 11 tests/testthat/test-normalize.R | 124 ++++++++++- tests/testthat/test-replicate_correlation.R | 5 tests/testthat/test-sparse_random_projection.R | 8 tests/testthat/test-whiten.R | 8 vignettes/cytominer-pipeline.Rmd | 8 34 files changed, 538 insertions(+), 264 deletions(-)
Title: Creates Ideal Data for Generalized Linear Models
Description: Have you ever struggled to find "good data" for a generalized linear model? Would you like
to test how quickly statistics converge to parameters, or learn how picking different
link functions affects model performance? This package creates ideal data for both common
and novel generalized linear models so your questions can be empirically answered.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>
Diff between GlmSimulatoR versions 0.2.1 dated 2020-03-17 and 0.2.2 dated 2020-05-09
DESCRIPTION | 6 MD5 | 46 NEWS.md | 14 R/internal_functions.R | 36 R/simulating_functions.R | 72 inst/doc/count_data_and_overdispersion.Rmd | 3 inst/doc/count_data_and_overdispersion.html | 1 inst/doc/dealing_with_right_skewed_data.R | 4 inst/doc/dealing_with_right_skewed_data.Rmd | 10 inst/doc/dealing_with_right_skewed_data.html | 30 inst/doc/exploring_links_for_the_gaussian_distribution.Rmd | 2 inst/doc/exploring_links_for_the_gaussian_distribution.html | 2 inst/doc/stepwise_search.Rmd | 8 inst/doc/stepwise_search.html | 1078 +++++------- inst/doc/tweedie_distribution.Rmd | 2 inst/doc/tweedie_distribution.html | 2 man/simulate_gaussian.Rd | 102 - tests/testthat/test_simulate_binomial.R | 9 tests/testthat/test_simulate_poisson.R | 6 vignettes/count_data_and_overdispersion.Rmd | 3 vignettes/dealing_with_right_skewed_data.Rmd | 10 vignettes/exploring_links_for_the_gaussian_distribution.Rmd | 2 vignettes/stepwise_search.Rmd | 8 vignettes/tweedie_distribution.Rmd | 2 24 files changed, 740 insertions(+), 718 deletions(-)