Title: Sparse Arrays and Multivariate Polynomials
Description: Sparse arrays interpreted as multivariate polynomials.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Diff between spray versions 1.0-6 dated 2019-04-10 and 1.0-7 dated 2019-09-02
DESCRIPTION | 6 +++--- MD5 | 26 ++++++++++++++------------ R/spray.R | 2 ++ README.md |only build/vignette.rds |binary inst/doc/spray.R | 16 ++++++++-------- inst/doc/spray.Rnw | 3 ++- inst/doc/spray.pdf |binary man/asum.Rd | 2 +- man/nterms.Rd |only man/print.Rd | 1 + man/spray-package.Rd | 21 +++++++++++++++++++-- src/spray_ops.cpp | 23 ++++++++++------------- tests/aaa.R | 4 ++++ vignettes/spray.Rnw | 3 ++- 15 files changed, 66 insertions(+), 41 deletions(-)
Title: Fast Creation of Dummy (Binary) Columns and Rows from
Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>),
Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>
Diff between fastDummies versions 1.4.0 dated 2019-06-17 and 1.5.0 dated 2019-09-02
fastDummies-1.4.0/fastDummies/tests/testthat/test-columns-sort-order.R |only fastDummies-1.5.0/fastDummies/DESCRIPTION | 8 fastDummies-1.5.0/fastDummies/MD5 | 30 fastDummies-1.5.0/fastDummies/NEWS.md | 23 fastDummies-1.5.0/fastDummies/R/dummy_cols.R | 57 + fastDummies-1.5.0/fastDummies/inst/doc/making-dummy-rows.html | 4 fastDummies-1.5.0/fastDummies/inst/doc/making-dummy-variables.html | 4 fastDummies-1.5.0/fastDummies/inst/testdata/makes_test_data.R | 36 - fastDummies-1.5.0/fastDummies/man/dummy_cols.Rd | 6 fastDummies-1.5.0/fastDummies/man/dummy_columns.Rd | 6 fastDummies-1.5.0/fastDummies/tests/testthat/test-columns-split.R |only fastDummies-1.5.0/fastDummies/tests/testthat/test-columns-value-order.R | 24 fastDummies-1.5.0/fastDummies/tests/testthat/test-columns-warnings-errors.R | 10 fastDummies-1.5.0/fastDummies/tests/testthat/test-columns.R | 320 +++++++--- fastDummies-1.5.0/fastDummies/tests/testthat/test-ignore_na.R | 78 ++ fastDummies-1.5.0/fastDummies/tests/testthat/test-return-type.R | 92 +- fastDummies-1.5.0/fastDummies/tests/testthat/test-rows-warnings-errors.R | 27 17 files changed, 483 insertions(+), 242 deletions(-)
Title: Basic Sensitivity Analysis of Epidemiological Results
Description: Basic sensitivity analysis of the observed relative risks adjusting
for unmeasured confounding and misclassification of the
exposure/outcome, or both. It follows the bias analysis methods and
examples from the book by Lash T.L, Fox M.P, and Fink A.K.
"Applying Quantitative Bias Analysis to Epidemiologic Data",
('Springer', 2009).
Author: Denis Haine [aut, cre] (<https://orcid.org/0000-0002-6691-7335>)
Maintainer: Denis Haine <denis.haine@gmail.com>
Diff between episensr versions 0.9.3 dated 2018-12-03 and 0.9.4 dated 2019-09-02
DESCRIPTION | 8 +- MD5 | 12 +-- NEWS.md | 4 + R/selection.R | 2 build/vignette.rds |binary inst/doc/episensr.html | 121 ++++++++++++++++++++++++---------------- tests/testthat/test-selection.R | 8 ++ 7 files changed, 98 insertions(+), 57 deletions(-)
Title: Studio Ghibli Colour Palettes
Description: Colour palettes inspired by Studio Ghibli <https://en.wikipedia.org/wiki/Studio_Ghibli>
films, ported to R for your enjoyment.
Author: Ewen Henderson [aut, cre] (<https://orcid.org/0000-0002-4748-4693>),
Danielle Desrosiers [ctb]
Maintainer: Ewen Henderson <ewenhenderson@gmail.com>
Diff between ghibli versions 0.2.0 dated 2019-03-21 and 0.3.0 dated 2019-09-02
ghibli-0.2.0/ghibli/NEWS |only ghibli-0.2.0/ghibli/man/ghibli.Rd |only ghibli-0.3.0/ghibli/DESCRIPTION | 13 ghibli-0.3.0/ghibli/MD5 | 31 - ghibli-0.3.0/ghibli/NAMESPACE | 1 ghibli-0.3.0/ghibli/NEWS.md |only ghibli-0.3.0/ghibli/R/ghibli-package.R | 18 ghibli-0.3.0/ghibli/R/palettes.R | 13 ghibli-0.3.0/ghibli/R/scales.R | 21 ghibli-0.3.0/ghibli/build/vignette.rds |binary ghibli-0.3.0/ghibli/data/ghibli_palettes.rda |binary ghibli-0.3.0/ghibli/inst/doc/ghibli-guide.html | 13 ghibli-0.3.0/ghibli/inst/extdata/palettes.yml | 324 +++++------ ghibli-0.3.0/ghibli/man/figures/README-ggplot2-eg-1.png |binary ghibli-0.3.0/ghibli/man/figures/README-palettes-1.png |binary ghibli-0.3.0/ghibli/man/figures/README-unnamed-chunk-2-1.png |binary ghibli-0.3.0/ghibli/man/figures/spirited-pal.jpg |only ghibli-0.3.0/ghibli/man/ghibli-package.Rd |only ghibli-0.3.0/ghibli/man/ghibli_palette.Rd | 4 19 files changed, 231 insertions(+), 207 deletions(-)
Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre],
Milan Bouchet-Valat [aut],
Liviu Andronic [ctb],
Michael Ash [ctb],
Theophilius Boye [ctb],
Stefano Calza [ctb],
Andy Chang [ctb],
Philippe Grosjean [ctb],
Richard Heiberger [ctb],
Kosar Karimi Pour [ctb],
G. Jay Kerns [ctb],
Renaud Lancelot [ctb],
Matthieu Lesnoff [ctb],
Uwe Ligges [ctb],
Samir Messad [ctb],
Martin Maechler [ctb],
Robert Muenchen [ctb],
Duncan Murdoch [ctb],
Erich Neuwirth [ctb],
Dan Putler [ctb],
Brian Ripley [ctb],
Miroslav Ristic [ctb],
Peter Wolf [ctb],
Kevin Wright [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>
Diff between Rcmdr versions 2.5-3 dated 2019-05-07 and 2.6-0 dated 2019-09-02
Rcmdr-2.5-3/Rcmdr/inst/etc/Thumbs.db |only Rcmdr-2.5-3/Rcmdr/man/Confint.Rd |only Rcmdr-2.5-3/Rcmdr/man/ediDataset.Rd |only Rcmdr-2.5-3/Rcmdr/vignettes/Thumbs.db |only Rcmdr-2.6-0/Rcmdr/DESCRIPTION | 11 Rcmdr-2.6-0/Rcmdr/MD5 | 108 Rcmdr-2.6-0/Rcmdr/NAMESPACE | 190 Rcmdr-2.6-0/Rcmdr/NEWS | 27 Rcmdr-2.6-0/Rcmdr/R/cluster.R | 2 Rcmdr-2.6-0/Rcmdr/R/commander.R | 3031 +- Rcmdr-2.6-0/Rcmdr/R/data-menu.R | 7 Rcmdr-2.6-0/Rcmdr/R/distributions-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/distributions-plotDistributions-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/distributions-sample.R | 2 Rcmdr-2.6-0/Rcmdr/R/file-menu.R | 2136 +- Rcmdr-2.6-0/Rcmdr/R/globals.R | 120 Rcmdr-2.6-0/Rcmdr/R/graphs-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/model-menu.R | 38 Rcmdr-2.6-0/Rcmdr/R/statistics-dimensional-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/statistics-means-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/statistics-models-menu.R | 275 Rcmdr-2.6-0/Rcmdr/R/statistics-nonparametric-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/statistics-proportions-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/statistics-summaries-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/statistics-tables-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/statistics-variances-menu.R | 2 Rcmdr-2.6-0/Rcmdr/R/utilities.R | 394 Rcmdr-2.6-0/Rcmdr/build/vignette.rds |binary Rcmdr-2.6-0/Rcmdr/inst/doc/Getting-Started-with-the-Rcmdr.Rnw | 23 Rcmdr-2.6-0/Rcmdr/inst/doc/Getting-Started-with-the-Rcmdr.pdf |binary Rcmdr-2.6-0/Rcmdr/inst/etc/Rcmdr-hex.pdf |only Rcmdr-2.6-0/Rcmdr/inst/etc/Rcmdr-menus.txt | 844 Rcmdr-2.6-0/Rcmdr/inst/etc/Rcmdr-model-capabilities.txt | 100 Rcmdr-2.6-0/Rcmdr/inst/etc/model-classes.txt | 18 Rcmdr-2.6-0/Rcmdr/inst/po/es/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/id/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/ja/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/pl/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/ro/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/ru/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/sl/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/inst/po/zh/LC_MESSAGES/R-Rcmdr.mo |binary Rcmdr-2.6-0/Rcmdr/man/Commander-es.Rd | 2 Rcmdr-2.6-0/Rcmdr/man/Rcmdr-package.Rd | 8 Rcmdr-2.6-0/Rcmdr/man/Rcmdr.Utilities.Rd | 1288 - Rcmdr-2.6-0/Rcmdr/man/editDataset.Rd |only Rcmdr-2.6-0/Rcmdr/po/R-Rcmdr.pot | 41 Rcmdr-2.6-0/Rcmdr/po/R-es.po | 35 Rcmdr-2.6-0/Rcmdr/po/R-id.po |10499 +++++----- Rcmdr-2.6-0/Rcmdr/po/R-ja.po | 39 Rcmdr-2.6-0/Rcmdr/po/R-pl.po | 33 Rcmdr-2.6-0/Rcmdr/po/R-ro.po | 157 Rcmdr-2.6-0/Rcmdr/po/R-ru.po | 31 Rcmdr-2.6-0/Rcmdr/po/R-sl.po | 346 Rcmdr-2.6-0/Rcmdr/po/R-zh.po | 35 Rcmdr-2.6-0/Rcmdr/vignettes/Getting-Started-with-the-Rcmdr.Rnw | 23 Rcmdr-2.6-0/Rcmdr/vignettes/Rcmdr-Manual.bib | 14 Rcmdr-2.6-0/Rcmdr/vignettes/Rcmdr-menus | 9 58 files changed, 10358 insertions(+), 9548 deletions(-)
Title: Alluvial Diagrams in 'ggplot2'
Description: Alluvial diagrams use x-splines, sometimes augmented with stacked
histograms, to visualize multi-dimensional or repeated-measures data with
categorical or ordinal variables. They can be viewed as simplified and
standardized Sankey diagrams; see Riehmann, Hanfler, and Froehlich (2005)
<doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010)
<doi:10.1371/journal.pone.0008694>. This package provides ggplot2 layers
to produce alluvial diagrams from tidy data.
Author: Jason Cory Brunson [aut, cre]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Diff between ggalluvial versions 0.9.1 dated 2018-10-21 and 0.10.0 dated 2019-09-02
DESCRIPTION | 10 MD5 | 86 ++-- NAMESPACE | 4 NEWS.md | 40 + R/alluvial-data.r | 50 +- R/devel.r | 15 R/geom-alluvium.r | 38 - R/geom-flow.r | 51 +- R/geom-lode.r | 34 - R/geom-stratum.r | 34 - R/ggalluvial.r |only R/lode-guidance-functions.r | 46 +- R/self-adjoin.r | 4 R/stat-alluvium.r | 102 ++-- R/stat-flow.r | 41 - R/stat-stratum.r | 55 +- R/stat-utils.r | 4 README.md | 93 ++-- build/vignette.rds |binary inst/doc/ggalluvial.R | 2 inst/doc/ggalluvial.html | 653 +++++++++++++++++++++---------- inst/doc/ggalluvial.rmd | 2 inst/doc/labels.R | 14 inst/doc/labels.html | 600 +++++++++++++++++++++------- inst/doc/labels.rmd | 23 + inst/doc/order-rectangles.R |only inst/doc/order-rectangles.html |only inst/doc/order-rectangles.rmd |only inst/examples/ex-stat-alluvium.r | 38 + inst/examples/ex-stat-flow.r | 2 inst/examples/ex-stat-stratum.r | 8 man/figures/README-unnamed-chunk-6-1.png |binary man/figures/README-unnamed-chunk-7-1.png |binary man/geom_alluvium.Rd | 5 man/geom_flow.Rd | 5 man/geom_lode.Rd | 5 man/geom_stratum.Rd | 5 man/ggalluvial-ggproto.Rd | 2 man/ggalluvial-package.Rd |only man/lode-guidance-functions.Rd | 22 - man/stat_alluvium.Rd | 82 ++- man/stat_flow.Rd | 10 man/stat_stratum.Rd | 22 - tests/testthat/test-is-alluvial.r | 7 vignettes/ggalluvial.rmd | 2 vignettes/labels.rmd | 23 + vignettes/order-rectangles.rmd |only 47 files changed, 1546 insertions(+), 693 deletions(-)
Title: Full Factorial Breeding Analysis
Description: We facilitate the analysis of full factorial mating designs with mixed-effects models. The observed data functions extract the variance explained by random and fixed effects and provide their significance. We then calculate the additive genetic, nonadditive genetic, and maternal variance components explaining the phenotype. In particular, we integrate nonnormal error structures for estimating these components for nonnormal data types. The resampled data functions are used to produce bootstrap confidence intervals, which can then be plotted using a simple function. This package will facilitate the analyses of full factorial mating designs in R, especially for the analysis of binary, proportion, and/or count data types and for the ability to incorporate additional random and fixed effects and power analyses. The paper associated with the package including worked examples is: Houde ALS, Pitcher TE (2016) <doi:10.1002/ece3.1943>.
Author: Aimee Lee Houde [aut, cre], Trevor Pitcher [aut]
Maintainer: Aimee Lee Houde <aimee.lee.houde@gmail.com>
Diff between fullfact versions 1.2 dated 2017-04-12 and 1.3 dated 2019-09-02
DESCRIPTION | 10 +++++----- MD5 | 26 +++++++++++++------------- NAMESPACE | 1 - R/powerGlmer.R | 2 +- build/partial.rdb |binary data/chinook_bootL.rda |binary data/chinook_bootS.rda |binary data/chinook_jackL.rda |binary data/chinook_length.rda |binary data/chinook_resampL.rda |binary data/chinook_resampS.rda |binary data/chinook_survival.rda |binary man/resampFamily.Rd | 2 +- man/resampRepli.Rd | 2 +- 14 files changed, 21 insertions(+), 22 deletions(-)
Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>),
Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>
Diff between jstable versions 0.8.5 dated 2019-08-03 and 0.8.6 dated 2019-09-02
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS.md | 4 ++++ R/CreateTableOneJS.R | 22 ++++++++++++---------- R/svyCreateTableOneJS.R | 22 ++++++++++++---------- inst/doc/jstable.html | 42 +++++++++++++++++++++--------------------- man/CreateTableOne2.Rd | 4 +++- man/CreateTableOneJS.Rd | 5 ++++- man/svyCreateTableOne2.Rd | 4 +++- man/svyCreateTableOneJS.Rd | 4 +++- 10 files changed, 75 insertions(+), 58 deletions(-)
Title: Bootstrap Resampling for Mixed Effects and Plain Models
Description: Performs bootstrap resampling for most models that update() works for. There
are two primary functions: bootstrap_model() performs block resampling if random effects
are present, and case resampling if not; bootstrap_ci() converts output from
bootstrap model runs into confidence intervals and p-values. By default,
bootstrap_model() calls bootstrap_ci().
Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.
Author: Colman Humphrey [aut, cre]
Maintainer: Colman Humphrey <humphrc@tcd.ie>
Diff between glmmboot versions 0.3.0 dated 2018-12-05 and 0.4.0 dated 2019-09-02
glmmboot-0.3.0/glmmboot/R/BootCI.R |only glmmboot-0.3.0/glmmboot/R/BootGlmm.R |only glmmboot-0.3.0/glmmboot/man/BootCI.Rd |only glmmboot-0.3.0/glmmboot/man/BootGlmm.Rd |only glmmboot-0.3.0/glmmboot/man/CalcEntropy.Rd |only glmmboot-0.3.0/glmmboot/man/CombineResampledLists.Rd |only glmmboot-0.3.0/glmmboot/man/DetectCores.Rd |only glmmboot-0.3.0/glmmboot/man/FindBars.Rd |only glmmboot-0.3.0/glmmboot/man/GenResamplingIndex.Rd |only glmmboot-0.3.0/glmmboot/man/GenSample.Rd |only glmmboot-0.3.0/glmmboot/man/GetRand.Rd |only glmmboot-0.3.0/glmmboot/tests/testthat/test_BootCI.R |only glmmboot-0.3.0/glmmboot/tests/testthat/test_BootGlmm.R |only glmmboot-0.3.0/glmmboot/tests/testthat/test_GetRand.R |only glmmboot-0.3.0/glmmboot/vignettes/quick_use_cache |only glmmboot-0.4.0/glmmboot/DESCRIPTION | 16 glmmboot-0.4.0/glmmboot/MD5 | 89 - glmmboot-0.4.0/glmmboot/NAMESPACE | 5 glmmboot-0.4.0/glmmboot/NEWS.md | 13 glmmboot-0.4.0/glmmboot/R/bootstrap_ci.R |only glmmboot-0.4.0/glmmboot/R/bootstrap_methods.R | 309 +++-- glmmboot-0.4.0/glmmboot/R/bootstrap_model.R |only glmmboot-0.4.0/glmmboot/R/data.R | 4 glmmboot-0.4.0/glmmboot/README.md | 265 +++- glmmboot-0.4.0/glmmboot/build/vignette.rds |binary glmmboot-0.4.0/glmmboot/inst/doc/quick_use.R | 132 +- glmmboot-0.4.0/glmmboot/inst/doc/quick_use.Rmd | 240 +++ glmmboot-0.4.0/glmmboot/inst/doc/quick_use.html | 602 ++++++++-- glmmboot-0.4.0/glmmboot/man/bootstrap_ci.Rd |only glmmboot-0.4.0/glmmboot/man/bootstrap_individual_ci.Rd |only glmmboot-0.4.0/glmmboot/man/bootstrap_model.Rd |only glmmboot-0.4.0/glmmboot/man/bootstrap_runner.Rd |only glmmboot-0.4.0/glmmboot/man/calc_entropy.Rd |only glmmboot-0.4.0/glmmboot/man/ci_variable.Rd |only glmmboot-0.4.0/glmmboot/man/combine_resampled_lists.Rd |only glmmboot-0.4.0/glmmboot/man/find_bars.Rd |only glmmboot-0.4.0/glmmboot/man/gen_resampling_index.Rd |only glmmboot-0.4.0/glmmboot/man/gen_samp_lev.Rd |only glmmboot-0.4.0/glmmboot/man/gen_sample.Rd |only glmmboot-0.4.0/glmmboot/man/gen_vector_match.Rd |only glmmboot-0.4.0/glmmboot/man/get_rand.Rd |only glmmboot-0.4.0/glmmboot/man/list_of_matrices.Rd |only glmmboot-0.4.0/glmmboot/man/not_error_check.Rd |only glmmboot-0.4.0/glmmboot/man/test_data.Rd | 2 glmmboot-0.4.0/glmmboot/tests/testthat/test-bootstrap_ci.R |only glmmboot-0.4.0/glmmboot/tests/testthat/test-bootstrap_methods.R |only glmmboot-0.4.0/glmmboot/tests/testthat/test-bootstrap_model.R |only glmmboot-0.4.0/glmmboot/vignettes/quick_use.Rmd | 240 +++ 48 files changed, 1531 insertions(+), 386 deletions(-)
Title: Quantification of Fate Bias in Multipotent Progenitors
Description: Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>
Diff between FateID versions 0.1.7 dated 2019-03-28 and 0.1.8 dated 2019-09-02
DESCRIPTION | 8 +-- MD5 | 17 +++--- NAMESPACE | 1 R/FateID_functions.R | 113 +++++++++++++++++++++++++++++++++++++++++-- inst/doc/FateID.R | 4 + inst/doc/FateID.Rmd | 10 +++ inst/doc/FateID.html | 15 +++-- man/plotexpression.Rd | 10 ++- man/plotexpressionProfile.Rd |only vignettes/FateID.Rmd | 10 +++ 10 files changed, 162 insertions(+), 26 deletions(-)
Title: Estimation and Hypothesis Testing for Threshold Regression
Description: Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models, with and without interaction terms. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.
Author: Youyi Fong [cre],
Tao Yang [aut],
Zonglin He [aut],
Adam Elder [aut],
Hyunju Son [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>
Diff between chngpt versions 2019.8-28 dated 2019-08-29 and 2019.9-2 dated 2019-09-02
ChangeLog | 49 ++++++++++++++++++------------------------- DESCRIPTION | 6 ++--- MD5 | 10 ++++---- inst/doc/chngpt-vignette.pdf |binary src/matrix.h | 16 +++++++------- src/smath.h | 4 +-- 6 files changed, 39 insertions(+), 46 deletions(-)
Title: Logging for 'dplyr' and 'tidyr' Functions
Description: Provides feedback about 'dplyr' and 'tidyr' operations.
Author: Benjamin Elbers [aut, cre] (<https://orcid.org/0000-0001-5392-3448>)
Maintainer: Benjamin Elbers <elbersb@gmail.com>
Diff between tidylog versions 0.1.0 dated 2019-03-08 and 0.2.0 dated 2019-09-02
DESCRIPTION | 12 +- MD5 | 44 ++++---- NAMESPACE | 7 + NEWS.md | 7 + R/filter.R | 40 ++++--- R/gather_spread.R |only R/group_by.R | 14 +- R/join.R | 122 +++++++++++++++++++----- R/mutate.R | 80 ++++++++++----- R/select.R | 20 +-- R/summarize.R | 28 ++--- R/tidylog.R | 5 README.md | 181 +++++++++++++++++++++++++++--------- man/filter.Rd | 5 man/gather.Rd |only man/inner_join.Rd | 25 +++- man/mutate.Rd | 6 + man/select.Rd | 4 man/spread.Rd |only man/transmute.Rd | 2 tests/testthat/test_filter.R | 28 +++++ tests/testthat/test_gather_spread.R |only tests/testthat/test_join.R | 114 ++++++++++++++++++++++ tests/testthat/test_mutate.R | 58 +++++++++++ tests/testthat/test_tidylog.R | 2 25 files changed, 621 insertions(+), 183 deletions(-)
Title: Semi-Supervised Regression Methods
Description: An implementation of semi-supervised regression methods including self-learning and co-training by committee based on Hady, M. F. A., Schwenker, F., & Palm, G. (2009) <doi:10.1007/978-3-642-04274-4_13>. Users can define which set of regressors to use as base models from the 'caret' package, other packages, or custom functions.
Author: Enrique Garcia-Ceja [aut, cre]
(<https://orcid.org/0000-0001-6864-8557>)
Maintainer: Enrique Garcia-Ceja <e.g.mx@ieee.org>
Diff between ssr versions 0.1.0 dated 2019-08-20 and 0.1.1 dated 2019-09-02
DESCRIPTION | 8 MD5 | 22 +- NEWS.md | 9 R/algorithms.R | 36 +-- README.md | 37 +++- inst/doc/ssr-package-vignette.R | 33 ++- inst/doc/ssr-package-vignette.Rmd | 56 ++++-- inst/doc/ssr-package-vignette.html | 335 ++++++++++++++++++++----------------- man/plot.ssr.Rd | 6 man/predict.ssr.Rd | 4 man/ssr.Rd | 7 vignettes/ssr-package-vignette.Rmd | 56 ++++-- 12 files changed, 380 insertions(+), 229 deletions(-)
Title: R Front End for 'Apache Spark'
Description: Provides an R Front end for 'Apache Spark' <https://spark.apache.org>.
Author: Shivaram Venkataraman [aut, cre],
Xiangrui Meng [aut],
Felix Cheung [aut],
The Apache Software Foundation [aut, cph]
Maintainer: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Diff between SparkR versions 2.4.3 dated 2019-05-09 and 2.4.4 dated 2019-09-02
DESCRIPTION | 8 +-- MD5 | 8 +-- R/context.R | 3 - inst/doc/sparkr-vignettes.html | 89 +++++++++++++++++++++++++++-------------- man/spark.addFile.Rd | 3 - 5 files changed, 71 insertions(+), 40 deletions(-)
Title: An Implementation of Grammar of Graphics for Graphs and Networks
Description: The grammar of graphics as implemented in ggplot2 is a poor fit for
graph and network visualizations due to its reliance on tabular data input.
ggraph is an extension of the ggplot2 API tailored to graph visualizations
and provides the same flexible approach to building up plots layer by layer.
Author: Thomas Lin Pedersen [cre, aut]
(<https://orcid.org/0000-0002-5147-4711>),
RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Diff between ggraph versions 1.0.2 dated 2018-07-07 and 2.0.0 dated 2019-09-02
ggraph-1.0.2/ggraph/R/layout_sec.R |only ggraph-1.0.2/ggraph/R/tree_apply.R |only ggraph-1.0.2/ggraph/inst/ggraph.png |only ggraph-1.0.2/ggraph/man/den_to_igraph.Rd |only ggraph-1.0.2/ggraph/man/layout_dendrogram_dendrogram.Rd |only ggraph-1.0.2/ggraph/man/layout_dendrogram_even.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_circlepack.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_dendrogram.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_hive.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_igraph.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_linear.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_manual.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_partition.Rd |only ggraph-1.0.2/ggraph/man/layout_igraph_treemap.Rd |only ggraph-1.0.2/ggraph/man/network_to_igraph.Rd |only ggraph-1.0.2/ggraph/man/tree_apply.Rd |only ggraph-2.0.0/ggraph/DESCRIPTION | 36 ggraph-2.0.0/ggraph/LICENSE |only ggraph-2.0.0/ggraph/MD5 | 310 ++-- ggraph-2.0.0/ggraph/NAMESPACE | 118 + ggraph-2.0.0/ggraph/NEWS.md |only ggraph-2.0.0/ggraph/R/RcppExports.R | 6 ggraph-2.0.0/ggraph/R/aaa.R | 79 - 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ggraph-2.0.0/ggraph/src/lineCutter.cpp | 382 ++--- ggraph-2.0.0/ggraph/src/nodes.cpp |only ggraph-2.0.0/ggraph/src/nodes.h | 266 ++-- ggraph-2.0.0/ggraph/src/pathAttr.cpp | 68 - ggraph-2.0.0/ggraph/src/treemap.cpp | 182 +- ggraph-2.0.0/ggraph/src/unrooted.cpp |only ggraph-2.0.0/ggraph/vignettes/Edges.Rmd | 268 ++-- ggraph-2.0.0/ggraph/vignettes/Layouts.Rmd | 285 ++-- ggraph-2.0.0/ggraph/vignettes/Nodes.Rmd | 85 - ggraph-2.0.0/ggraph/vignettes/tidygraph.Rmd |only 196 files changed, 9723 insertions(+), 8275 deletions(-)
Title: Genesys PGR Client
Description: Access data on plant genetic resources from genebanks around the world published on Genesys (<https://www.genesys-pgr.org>).
Your use of data is subject to terms and conditions available at <https://www.genesys-pgr.org/content/legal/terms>.
Author: Global Crop Diversity Trust [cph],
Matija Obreza [aut, cre],
Nora Castaneda [ctb]
Maintainer: Matija Obreza <matija.obreza@croptrust.org>
Diff between genesysr versions 0.9.1 dated 2018-06-14 and 0.9.2 dated 2019-09-02
DESCRIPTION | 8 ++--- MD5 | 29 ++++++++++++--------- NEWS.md | 3 ++ R/api-client.R | 15 ++++++----- R/filters.R | 24 +++++++++++++++++ README.md | 2 - build/vignette.rds |binary inst/doc/tutorial.Rmd | 7 ++--- inst/doc/tutorial.html | 53 +++++++++++++++++++++++++++++---------- man/dot-MAX_ALLOWED_PAGES.Rd |only man/dot-check_auth.Rd |only man/dot-fetch_accessions_page.Rd |only man/dot-onLoad.Rd |only man/dot-post.Rd |only man/setup.Rd | 2 - man/setup_production.Rd | 2 - man/setup_sandbox.Rd | 2 - vignettes/tutorial.Rmd | 7 ++--- 18 files changed, 109 insertions(+), 45 deletions(-)
Title: Forecasting for Stationary and Non-Stationary Time Series
Description: Methods to compute linear h-step ahead prediction coefficients based
on localised and iterated Yule-Walker estimates and empirical mean squared
and absolute prediction errors for the resulting predictors. Also, functions
to compute autocovariances for AR(p) processes, to simulate tvARMA(p,q) time
series, and to verify an assumption from Kley et al. (2019), Electronic of Statistics,
forthcoming. Preprint <arXiv:1611.04460>.
Author: Tobias Kley [aut, cre],
Philip Preuss [aut],
Piotr Fryzlewicz [aut]
Maintainer: Tobias Kley <tobias.kley@bristol.ac.uk>
Diff between forecastSNSTS versions 1.2-0 dated 2017-06-18 and 1.3-0 dated 2019-09-02
DESCRIPTION | 16 ++--- MD5 | 37 ++++++------ NEWS | 8 ++ R/RcppExports.R | 14 ++-- R/f.R | 10 +-- R/forecastSNSTS-package.R | 114 ++++++++++++++++++------------------- R/models.R | 2 README.md |only man/computeMSPEcpp.Rd |only man/f.Rd | 10 +-- man/forecastSNSTS-package.Rd | 14 ++-- man/measure-of-accuracy.Rd | 1 man/plot.measure-of-accuracy.Rd | 1 man/predCoef.Rd | 4 - man/ts-models-tvARMA.Rd | 2 man/tvARMAcpp.Rd |only src/RcppExports.cpp | 12 +-- src/computeMSPE.cpp | 2 src/predCoef.cpp | 8 +- src/tvARMA.cpp | 2 tests/testthat/test-coefficients.R | 2 21 files changed, 134 insertions(+), 125 deletions(-)
Title: Main Package of the EMU Speech Database Management System
Description: Provides the next iteration of the EMU Speech
Database Management System (EMU-SDMS) with database management, data
extraction, data preparation and data visualization facilities.
Author: Raphael Winkelmann [aut, cre],
Klaus Jaensch [aut, ctb],
Steve Cassidy [aut, ctb],
Jonathan Harrington [aut, ctb]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>
Diff between emuR versions 2.0.0 dated 2019-07-22 and 2.0.3 dated 2019-09-02
emuR-2.0.0/emuR/R/emuR-options.R |only emuR-2.0.3/emuR/DESCRIPTION | 6 +-- emuR-2.0.3/emuR/MD5 | 25 ++++++------- emuR-2.0.3/emuR/NEWS.md | 10 ++++- emuR-2.0.3/emuR/R/emuR-annotations_crud.R | 20 ++++++++++ emuR-2.0.3/emuR/R/emuR-bas_webservices.R | 2 - emuR-2.0.3/emuR/R/emuR-database.DBconfig.EMUwebAppConfig.R | 2 - emuR-2.0.3/emuR/R/emuR-server.R | 2 - emuR-2.0.3/emuR/R/zzz.R |only emuR-2.0.3/emuR/inst/doc/EQL.html | 4 +- emuR-2.0.3/emuR/inst/doc/emuR_intro.html | 4 +- emuR-2.0.3/emuR/man/SetGetlevelCanvasesOrder.Rd | 2 - emuR-2.0.3/emuR/man/runBASwebservice_all.Rd | 2 - emuR-2.0.3/emuR/man/serve.Rd | 2 - emuR-2.0.3/emuR/tests/testthat/test_emuR-hooks.R |only 15 files changed, 55 insertions(+), 26 deletions(-)
Title: Toolkit for Credit Modeling Analysis and Visualization
Description: Provides a highly efficient R tool suite for Credit Modeling, Analysis and Visualization. Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyper parameters, data mining and visualization, model evaluation, strategy analysis etc. This package is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster.
1.Anderson, R. (2007). The credit scoring toolkit: Theory and practice for retail credit risk management and decision automation.
2.Find, S. (2012, ISBN13: 9780230347762). Credit scoring, response modelling and insurance rating:A practical guide to forecasting consumer behaviour.
Author: Dongping Fan [aut, cre]
Maintainer: Dongping Fan <fdp@pku.edu.cn>
Diff between creditmodel versions 1.1.1 dated 2019-07-18 and 1.1.2 dated 2019-09-02
creditmodel-1.1.1/creditmodel/man/vintage_function.Rd |only creditmodel-1.1.1/creditmodel/vignettes/Untitled.md |only creditmodel-1.1.1/creditmodel/vignettes/cran_comments.md |only creditmodel-1.1.2/creditmodel/DESCRIPTION | 18 creditmodel-1.1.2/creditmodel/MD5 | 109 creditmodel-1.1.2/creditmodel/NAMESPACE | 24 creditmodel-1.1.2/creditmodel/NEWS.md | 12 creditmodel-1.1.2/creditmodel/R/data_anaylsis.R | 842 ++-- creditmodel-1.1.2/creditmodel/R/data_cleansing.R | 23 creditmodel-1.1.2/creditmodel/R/data_exploration.R | 2 creditmodel-1.1.2/creditmodel/R/data_process_tools.R | 25 creditmodel-1.1.2/creditmodel/R/data_transformation.R | 63 creditmodel-1.1.2/creditmodel/R/data_visualization.R | 967 ++++- creditmodel-1.1.2/creditmodel/R/essential_algorithms.R | 3 creditmodel-1.1.2/creditmodel/R/example_data.r | 2 creditmodel-1.1.2/creditmodel/R/model_training.R | 2011 +++++++++-- creditmodel-1.1.2/creditmodel/R/variable_binning.R | 66 creditmodel-1.1.2/creditmodel/R/variable_selection.R | 1913 +++++----- creditmodel-1.1.2/creditmodel/README.md | 51 creditmodel-1.1.2/creditmodel/inst/doc/demo.html | 225 + creditmodel-1.1.2/creditmodel/inst/doc/demo.rmd | 37 creditmodel-1.1.2/creditmodel/man/char_to_num.Rd | 2 creditmodel-1.1.2/creditmodel/man/cohort_analysis.Rd |only creditmodel-1.1.2/creditmodel/man/cohort_table_plot.Rd |only creditmodel-1.1.2/creditmodel/man/cor_heat_plot.Rd |only creditmodel-1.1.2/creditmodel/man/customer_segmentation.Rd | 2 creditmodel-1.1.2/creditmodel/man/data_cleansing.Rd | 13 creditmodel-1.1.2/creditmodel/man/derived_ts_vars.Rd | 4 creditmodel-1.1.2/creditmodel/man/feature_select_wrapper.Rd | 2 creditmodel-1.1.2/creditmodel/man/fuzzy_cluster_means.Rd | 4 creditmodel-1.1.2/creditmodel/man/get_breaks_all.Rd | 2 creditmodel-1.1.2/creditmodel/man/get_ctree_rules.Rd | 2 creditmodel-1.1.2/creditmodel/man/get_logistic_coef.Rd | 4 creditmodel-1.1.2/creditmodel/man/get_psi_all.Rd | 13 creditmodel-1.1.2/creditmodel/man/get_psi_iv_all.Rd | 4 creditmodel-1.1.2/creditmodel/man/get_score_card.Rd | 4 creditmodel-1.1.2/creditmodel/man/get_tree_breaks.Rd | 2 creditmodel-1.1.2/creditmodel/man/get_x_list.Rd | 6 creditmodel-1.1.2/creditmodel/man/ks_table.Rd | 6 creditmodel-1.1.2/creditmodel/man/ks_value.Rd | 2 creditmodel-1.1.2/creditmodel/man/lasso_filter.Rd | 6 creditmodel-1.1.2/creditmodel/man/lendingclub.Rd | 2 creditmodel-1.1.2/creditmodel/man/love_color.Rd | 8 creditmodel-1.1.2/creditmodel/man/lr_params.Rd | 61 creditmodel-1.1.2/creditmodel/man/merge_category.Rd | 2 creditmodel-1.1.2/creditmodel/man/partial_dependence_plot.Rd |only creditmodel-1.1.2/creditmodel/man/perf_table.Rd |only creditmodel-1.1.2/creditmodel/man/pred_score.Rd |only creditmodel-1.1.2/creditmodel/man/psi_iv_filter.Rd | 7 creditmodel-1.1.2/creditmodel/man/score_transfer.Rd | 4 creditmodel-1.1.2/creditmodel/man/select_best_class.Rd | 8 creditmodel-1.1.2/creditmodel/man/train_lr.Rd |only creditmodel-1.1.2/creditmodel/man/train_test_split.Rd | 4 creditmodel-1.1.2/creditmodel/man/train_xgb.Rd |only creditmodel-1.1.2/creditmodel/man/training_model.Rd | 33 creditmodel-1.1.2/creditmodel/man/woe_trans_all.Rd | 2 creditmodel-1.1.2/creditmodel/man/xgb_data.Rd |only creditmodel-1.1.2/creditmodel/man/xgb_filter.Rd | 17 creditmodel-1.1.2/creditmodel/man/xgb_params.Rd | 46 creditmodel-1.1.2/creditmodel/tests/testthat/test.R | 31 creditmodel-1.1.2/creditmodel/vignettes/cran-comments.md |only creditmodel-1.1.2/creditmodel/vignettes/demo.rmd | 37 62 files changed, 4677 insertions(+), 2056 deletions(-)
Title: Stable and Interpretable RUle Set
Description: A classification algorithm based on random forests, which takes the form of a short list of rules. SIRUS combines the simplicity of decision trees with the predictivity of random forests for problems with low order interactions. The core aggregation principle of random forests is kept, but instead of aggregating predictions, SIRUS selects the most frequent nodes of the forest to form a stable rule ensemble model. The algorithm is fully described in the following article: Benard C., Biau G., da Veiga S., Scornet E. (2019) <arXiv:1908.06852>. This R package is a fork from the project ranger (<https://github.com/imbs-hl/ranger>).
Author: Clement Benard [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Clement Benard <clement.benard@safrangroup.com>
Diff between sirus versions 0.1.1 dated 2019-08-28 and 0.1.2 dated 2019-09-02
sirus-0.1.1/sirus/src/DataSparse.cpp |only sirus-0.1.1/sirus/src/DataSparse.h |only sirus-0.1.2/sirus/DESCRIPTION | 12 sirus-0.1.2/sirus/MD5 | 22 sirus-0.1.2/sirus/NAMESPACE | 28 - sirus-0.1.2/sirus/R/RcppExports.R | 38 - sirus-0.1.2/sirus/R/ranger.R | 12 sirus-0.1.2/sirus/R/sirus_utility.R | 832 ++++++++++++++++----------------- sirus-0.1.2/sirus/man/sirus.plot.cv.Rd | 78 +-- sirus-0.1.2/sirus/src/Forest.cpp | 17 sirus-0.1.2/sirus/src/RcppExports.cpp | 11 sirus-0.1.2/sirus/src/rangerCpp.cpp | 37 - sirus-0.1.2/sirus/tests/testthat.R | 8 13 files changed, 531 insertions(+), 564 deletions(-)
Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with
heterogeneous data sets and partially missing data management.
It includes models for real, categorical, counting, functional and ranking data.
This package contains the minimal R interface of the C++ 'MixtComp' library.
Author: Vincent Kubicki [aut],
Christophe Biernacki [aut],
Quentin Grimonprez [aut, cre],
Serge Iovleff [ctb],
Matthieu Marbac-Lourdelle [ctb],
Étienne Goffinet [ctb],
Patrick Patrick Wieschollek [ctb] (for CppOptimizationLibrary),
Tobias Wood [ctb] (for CppOptimizationLibrary)
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>
Diff between RMixtCompIO versions 4.0.0 dated 2019-08-03 and 4.0.1 dated 2019-09-02
DESCRIPTION | 8 ++--- MD5 | 8 ++--- NEWS | 5 ++- R/rmcMultiRun.R | 50 +++++++++++++++++++++++++------------ src/lib/Mixture/Rank/RankMixture.h | 2 - 5 files changed, 47 insertions(+), 26 deletions(-)
Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access
environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts
data along a trajectory for a given "radius" around the point. The
rxtracto_3D() function extracts data in a box. The rxtractogon() function
extracts data in a polygon. All of those three function use the 'rerddap' package
to extract the data, and should work with any 'ERDDAP' server.
There are also two functions, plotBBox() and plotTrack() that use the 'plotdap'
package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>
Diff between rerddapXtracto versions 0.4.1 dated 2019-08-06 and 0.4.2 dated 2019-09-02
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 5 +++++ README.md | 2 +- inst/doc/UsingrerddapXtracto.R | 6 +++--- inst/doc/UsingrerddapXtracto.Rmd | 6 +++--- inst/doc/UsingrerddapXtracto.html | 28 ++++++++++++++-------------- vignettes/UsingrerddapXtracto.Rmd | 6 +++--- 8 files changed, 39 insertions(+), 34 deletions(-)
More information about rerddapXtracto at CRAN
Permanent link
Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad
Sanderson) that aims towards a good balance between speed and ease of use. Integer,
floating point and complex numbers are supported, as well as a subset of
trigonometric and statistics functions. Various matrix decompositions are
provided through optional integration with LAPACK and ATLAS libraries.
The 'RcppArmadillo' package includes the header files from the templated
'Armadillo' library. Thus users do not need to install 'Armadillo' itself in
order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is
licensed under Apache License 2; previous releases were under licensed as
MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that;
'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under
the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that
Armadillo requires a fairly recent compiler; for the g++ family at least
version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppArmadillo versions 0.9.600.4.0 dated 2019-07-15 and 0.9.700.2.0 dated 2019-09-02
ChangeLog | 19 DESCRIPTION | 8 MD5 | 125 +-- configure | 36 - configure.ac | 16 inst/NEWS.Rd | 17 inst/doc/RcppArmadillo-intro.pdf |binary inst/doc/RcppArmadillo-sparseMatrix.pdf |binary inst/include/armadillo | 5 inst/include/armadillo_bits/CubeToMatOp_bones.hpp |only inst/include/armadillo_bits/CubeToMatOp_meat.hpp |only inst/include/armadillo_bits/MapMat_meat.hpp | 10 inst/include/armadillo_bits/Mat_bones.hpp | 14 inst/include/armadillo_bits/Mat_meat.hpp | 241 ++++++ inst/include/armadillo_bits/Proxy.hpp | 154 ++++ inst/include/armadillo_bits/SpMat_bones.hpp | 6 inst/include/armadillo_bits/SpMat_meat.hpp | 62 - inst/include/armadillo_bits/SpSubview_meat.hpp | 22 inst/include/armadillo_bits/arma_forward.hpp | 40 - inst/include/armadillo_bits/arma_rng.hpp | 11 inst/include/armadillo_bits/arma_version.hpp | 6 inst/include/armadillo_bits/auxlib_meat.hpp | 10 inst/include/armadillo_bits/config.hpp | 6 inst/include/armadillo_bits/config.hpp.cmake | 6 inst/include/armadillo_bits/def_blas.hpp | 68 - inst/include/armadillo_bits/def_lapack.hpp | 485 +++++++------- inst/include/armadillo_bits/diskio_bones.hpp | 6 inst/include/armadillo_bits/diskio_meat.hpp | 220 ++++++ inst/include/armadillo_bits/fn_as_scalar.hpp | 46 - inst/include/armadillo_bits/fn_fft2.hpp | 12 inst/include/armadillo_bits/fn_join.hpp | 280 +++++++- inst/include/armadillo_bits/fn_kron.hpp | 8 inst/include/armadillo_bits/fn_misc.hpp | 4 inst/include/armadillo_bits/fn_nonzeros.hpp | 8 inst/include/armadillo_bits/fn_normcdf.hpp | 6 inst/include/armadillo_bits/fn_normpdf.hpp | 6 inst/include/armadillo_bits/fn_randperm.hpp |only inst/include/armadillo_bits/fn_vectorise.hpp | 10 inst/include/armadillo_bits/glue_join_bones.hpp | 12 inst/include/armadillo_bits/glue_join_meat.hpp | 182 +++++ inst/include/armadillo_bits/glue_trapz_meat.hpp | 22 inst/include/armadillo_bits/gmm_diag_bones.hpp | 16 inst/include/armadillo_bits/gmm_diag_meat.hpp | 174 +---- inst/include/armadillo_bits/gmm_full_bones.hpp | 16 inst/include/armadillo_bits/gmm_full_meat.hpp | 174 +---- inst/include/armadillo_bits/newarp_GenEigsSolver_meat.hpp | 4 inst/include/armadillo_bits/newarp_SymEigsSolver_meat.hpp | 4 inst/include/armadillo_bits/op_index_max_meat.hpp | 45 + inst/include/armadillo_bits/op_index_min_meat.hpp | 45 + inst/include/armadillo_bits/op_mean_meat.hpp | 4 inst/include/armadillo_bits/op_nonzeros_bones.hpp | 13 inst/include/armadillo_bits/op_nonzeros_meat.hpp | 11 inst/include/armadillo_bits/op_vectorise_bones.hpp | 2 inst/include/armadillo_bits/op_vectorise_meat.hpp | 6 inst/include/armadillo_bits/operator_relational.hpp | 44 + inst/include/armadillo_bits/spglue_join_bones.hpp | 12 inst/include/armadillo_bits/spglue_join_meat.hpp | 141 ++++ inst/include/armadillo_bits/spglue_relational_bones.hpp |only inst/include/armadillo_bits/spglue_relational_meat.hpp |only inst/include/armadillo_bits/subview_meat.hpp | 33 inst/include/armadillo_bits/traits.hpp | 14 inst/include/armadillo_bits/translate_blas.hpp | 40 - inst/include/armadillo_bits/translate_lapack.hpp | 379 +++++----- inst/include/armadillo_bits/typedef_elem.hpp | 17 inst/include/armadillo_bits/unwrap.hpp | 90 ++ inst/include/armadillo_bits/unwrap_cube.hpp | 17 66 files changed, 2425 insertions(+), 1065 deletions(-)
Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Will try to fit decision trees that try to "predict" values for each column based on the values of each other column.
Along the way, each time a split is evaluated, it will take the observations that fall into each branch as a homogeneous
cluster in which it will search for outliers in the 1-d distribution of the column being predicted. Outliers are determined
according to confidence intervals on this 1-d distribution, and need to have a large gap with respect to the next observation
in sorted order to be flagged as outliers. Since outliers are searched for in a decision tree branch, it will know the conditions
that make it a rare observation compared to others that meet the same conditions, and the conditions will always be correlated
with the target variable (as it's being predicted from them). Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Diff between outliertree versions 1.0.2 dated 2019-08-28 and 1.0.4 dated 2019-09-02
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- R/RcppExports.R | 4 ++++ R/helpers.R | 11 +++++++---- R/outliertree.R | 2 +- src/RcppExports.cpp | 15 +++++++++++++++ src/Rwrapper.cpp | 15 +++++++++++++-- src/misc.cpp | 15 +++++++++++++++ src/outlier_tree.h | 4 +++- 9 files changed, 70 insertions(+), 20 deletions(-)
Title: Calculate Total Points and Probabilities for Nomogram
Description: A nomogram, which can be carried out in 'rms' package, provides a
graphical explanation of a prediction process. However, it is not very easy
to draw straight lines, read points and probabilities accurately. Even, it
is hard for users to calculate total points and probabilities for all
subjects.
This package provides formula_rd() and formula_lp() functions to fit the
formula of total points with raw data and linear predictors respectively by
polynomial regression. Function points_cal() will help you calculate the
total points. prob_cal() can be used to calculate the probabilities after
lrm(), cph() or psm() regression.
Author: Jing Zhang, Zhi Jin
Maintainer: Jing Zhang<zj391120@163.com>
Diff between nomogramFormula versions 1.0.0.0 dated 2019-08-28 and 1.1.0.0 dated 2019-09-02
nomogramFormula-1.0.0.0/nomogramFormula/R/formula_prob.R |only nomogramFormula-1.0.0.0/nomogramFormula/man/formula_prob.Rd |only nomogramFormula-1.1.0.0/nomogramFormula/DESCRIPTION | 14 +- nomogramFormula-1.1.0.0/nomogramFormula/MD5 | 18 +- nomogramFormula-1.1.0.0/nomogramFormula/NAMESPACE | 7 - nomogramFormula-1.1.0.0/nomogramFormula/R/formula_lp.R | 2 nomogramFormula-1.1.0.0/nomogramFormula/R/formula_rd.R | 2 nomogramFormula-1.1.0.0/nomogramFormula/R/points_cal.R | 2 nomogramFormula-1.1.0.0/nomogramFormula/R/prob_cal.R | 84 ++++++------ nomogramFormula-1.1.0.0/nomogramFormula/man/points_cal.Rd | 2 nomogramFormula-1.1.0.0/nomogramFormula/man/prob_cal.Rd | 47 +++--- 11 files changed, 82 insertions(+), 96 deletions(-)
More information about nomogramFormula at CRAN
Permanent link
Title: Nonnegative Integer Solutions of Linear Diophantine Equations
with Applications
Description: Routines for enumerating all existing nonnegative integer solutions of a linear Diophantine equation. The package provides routines for solving 0-1, bounded and unbounded knapsack problems; 0-1, bounded and unbounded subset sum problems; additive partitioning of natural numbers; and one-dimensional bin-packing problem.
Author: Natalya Pya Arnqvist[aut, cre],
Vassilly Voinov [aut],
Rashid Makarov [aut],
Yevgeniy Voinov [aut]
Maintainer: Natalya Pya Arnqvist <nat.pya@gmail.com>
Diff between nilde versions 1.1-2 dated 2018-08-07 and 1.1-3 dated 2019-09-02
DESCRIPTION | 11 ++++++----- MD5 | 9 ++++++--- NAMESPACE | 3 ++- R/binpacking.r |only R/globals.r |only build/partial.rdb |binary man/bin.packing.Rd |only 7 files changed, 14 insertions(+), 9 deletions(-)
Title: Mixed-Frequency Bayesian VAR Models
Description: Estimation of mixed-frequency Bayesian vector autoregressive (VAR) models. The package implements a state space-based VAR model that handles mixed frequencies of the data. The model is estimated using Markov Chain Monte Carlo to numerically approximate the posterior distribution. Prior distributions that can be used include normal-inverse Wishart and normal-diffuse priors as well as steady-state priors. Stochastic volatility can be handled by common or factor stochastic volatility models.
Author: Sebastian Ankargren [cre, aut]
(<https://orcid.org/0000-0003-4415-8734>),
Yukai Yang [aut] (<https://orcid.org/0000-0002-2623-8549>)
Maintainer: Sebastian Ankargren <sebastian.ankargren@statistics.uu.se>
Diff between mfbvar versions 0.4.0 dated 2018-12-27 and 0.5.1 dated 2019-09-02
mfbvar-0.4.0/mfbvar/man/mcmc_sampler.mfbvar_ss.Rd |only mfbvar-0.4.0/mfbvar/man/mdd.mfbvar_minn.Rd |only mfbvar-0.4.0/mfbvar/man/mdd.mfbvar_ss.Rd |only mfbvar-0.4.0/mfbvar/man/plot.mfbvar_minn.Rd |only mfbvar-0.4.0/mfbvar/man/plot.mfbvar_ss.Rd |only mfbvar-0.4.0/mfbvar/man/print.mfbvar_minn.Rd |only mfbvar-0.4.0/mfbvar/man/print.mfbvar_ss.Rd |only mfbvar-0.4.0/mfbvar/man/summary.mfbvar_minn.Rd |only mfbvar-0.4.0/mfbvar/man/summary.mfbvar_ss.Rd |only mfbvar-0.5.1/mfbvar/DESCRIPTION | 31 mfbvar-0.5.1/mfbvar/MD5 | 121 + mfbvar-0.5.1/mfbvar/NAMESPACE | 74 mfbvar-0.5.1/mfbvar/NEWS.md |only mfbvar-0.5.1/mfbvar/R/RcppExports.R | 136 + mfbvar-0.5.1/mfbvar/R/builders.R | 352 ++-- mfbvar-0.5.1/mfbvar/R/interface.R | 1343 +++++++++++++---- mfbvar-0.5.1/mfbvar/R/mcmc_diffuse.R |only mfbvar-0.5.1/mfbvar/R/mcmc_sampler.R | 532 ------ mfbvar-0.5.1/mfbvar/R/mcmc_sampler_csv.R |only mfbvar-0.5.1/mfbvar/R/mcmc_sampler_fsv.R |only mfbvar-0.5.1/mfbvar/R/mcmc_sampler_iw.R |only mfbvar-0.5.1/mfbvar/R/mdd.R | 24 mfbvar-0.5.1/mfbvar/R/mfbvar-package.R |only mfbvar-0.5.1/mfbvar/R/mfsv.R |only mfbvar-0.5.1/mfbvar/R/posteriors.R | 266 +-- mfbvar-0.5.1/mfbvar/R/prior_pi_sigma.R | 149 + mfbvar-0.5.1/mfbvar/R/utils.R |only mfbvar-0.5.1/mfbvar/README.md |only mfbvar-0.5.1/mfbvar/build |only mfbvar-0.5.1/mfbvar/inst/doc |only mfbvar-0.5.1/mfbvar/inst/include |only mfbvar-0.5.1/mfbvar/man/create_prior_Pi_Omega.Rd |only mfbvar-0.5.1/mfbvar/man/estimate_mfbvar.Rd | 58 mfbvar-0.5.1/mfbvar/man/mcmc_sampler.Rd | 7 mfbvar-0.5.1/mfbvar/man/mdd.Rd | 2 mfbvar-0.5.1/mfbvar/man/mdd.mfbvar_minn_iw.Rd |only mfbvar-0.5.1/mfbvar/man/mdd.mfbvar_ss_iw.Rd |only mfbvar-0.5.1/mfbvar/man/mfbvar.Rd |only mfbvar-0.5.1/mfbvar/man/plot-mfbvar.Rd |only mfbvar-0.5.1/mfbvar/man/plot.mfbvar_prior.Rd |only mfbvar-0.5.1/mfbvar/man/predict.mfbvar.Rd | 13 mfbvar-0.5.1/mfbvar/man/print.mfbvar.Rd |only mfbvar-0.5.1/mfbvar/man/print.mfbvar_prior.Rd | 2 mfbvar-0.5.1/mfbvar/man/set_prior.Rd | 95 - mfbvar-0.5.1/mfbvar/man/summary.mfbvar.Rd |only mfbvar-0.5.1/mfbvar/src/Makevars.in | 3 mfbvar-0.5.1/mfbvar/src/Makevars.win | 5 mfbvar-0.5.1/mfbvar/src/RcppExports.cpp | 836 ++++++++++ mfbvar-0.5.1/mfbvar/src/auxmix.cpp |only mfbvar-0.5.1/mfbvar/src/builders.cpp | 48 mfbvar-0.5.1/mfbvar/src/dl_reg.cpp |only mfbvar-0.5.1/mfbvar/src/kf_cpp.cpp | 10 mfbvar-0.5.1/mfbvar/src/max_eig_cpp.cpp | 4 mfbvar-0.5.1/mfbvar/src/mcmc_csv.cpp |only mfbvar-0.5.1/mfbvar/src/mcmc_diffuse.cpp |only mfbvar-0.5.1/mfbvar/src/mcmc_fsv.cpp |only mfbvar-0.5.1/mfbvar/src/mcmc_iw.cpp |only mfbvar-0.5.1/mfbvar/src/minn_utils.h |only mfbvar-0.5.1/mfbvar/src/mvn_par.cpp |only mfbvar-0.5.1/mfbvar/src/plot_funs.cpp |only mfbvar-0.5.1/mfbvar/src/posteriors.cpp |only mfbvar-0.5.1/mfbvar/src/progutils.cpp |only mfbvar-0.5.1/mfbvar/src/progutils_fsv.cpp |only mfbvar-0.5.1/mfbvar/src/progutils_fsv.h |only mfbvar-0.5.1/mfbvar/src/rgig.cpp |only mfbvar-0.5.1/mfbvar/src/rmvn.cpp |only mfbvar-0.5.1/mfbvar/src/rnd_numbers.cpp | 12 mfbvar-0.5.1/mfbvar/src/rsimsm_adaptive_cv.cpp |only mfbvar-0.5.1/mfbvar/src/rsimsm_adaptive_univariate.cpp |only mfbvar-0.5.1/mfbvar/src/smoothing.cpp | 4 mfbvar-0.5.1/mfbvar/src/ss_utils.h |only mfbvar-0.5.1/mfbvar/src/update_csv.cpp |only mfbvar-0.5.1/mfbvar/src/update_demean.cpp |only mfbvar-0.5.1/mfbvar/src/update_dl.cpp |only mfbvar-0.5.1/mfbvar/src/update_fsv.cpp |only mfbvar-0.5.1/mfbvar/src/update_ng.cpp |only mfbvar-0.5.1/mfbvar/src/utils.cpp |only mfbvar-0.5.1/mfbvar/tests/testthat/test_mcmc.R |only mfbvar-0.5.1/mfbvar/tests/testthat/test_mfbvar.R | 164 -- mfbvar-0.5.1/mfbvar/tests/testthat/test_plot.R |only mfbvar-0.5.1/mfbvar/tests/testthat/test_predict.R |only mfbvar-0.5.1/mfbvar/vignettes |only 82 files changed, 2814 insertions(+), 1477 deletions(-)
Title: Estimation and Use of the Generalised (Tukey) Lambda
Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form.
This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution,
the FKML, RS, GPD and FM5 - see documentation for details.
It provides the density function, distribution function, and Quantile-Quantile plots.
It implements a variety of estimation methods for the distribution, including diagnostic plots.
Estimation methods include the starship (all 4 types),
method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML parameterisation.
These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King <Robert.King@newcastle.edu.au>,
Benjamin Dean <Benjamin.Dean@uon.edu.au>, Sigbert Klinke, Paul van Staden
Maintainer: Robert King <Robert.King@newcastle.edu.au>
Diff between gld versions 2.5 dated 2019-07-04 and 2.6 dated 2019-09-02
DESCRIPTION | 14 +++--- MD5 | 26 +++++------ NEWS | 8 +++ R/e1071wrap.R | 26 +++++++++-- R/fit.fkml.R | 101 +++++++++++++++++++++++++++++++++----------- R/lmoment.R | 19 +++++++- R/methods.R | 34 ++++++++++---- R/moment.R | 49 +++++++++++++++------ TODO | 14 +++--- man/fit.fkml.Rd | 7 ++- man/fit.fkml.moments.val.Rd | 4 - man/fit.gpd.Rd | 2 man/gld.lmoments.Rd | 3 - man/plot.starship.Rd | 4 - 14 files changed, 223 insertions(+), 88 deletions(-)
Title: Feature Extraction And Statistics for Time Series
Description: Provides a collection of features, decompositions, statistical
summaries and graphics functions for the analysing tidy time series data.
The package name 'feasts' is an acronym comprising of its key features:
Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre],
Rob Hyndman [aut],
Earo Wang [aut],
Di Cook [ctb],
Thiyanga Talagala [ctb] (Correlation features),
Leanne Chhay [ctb] (Guerrero's method)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Diff between feasts versions 0.1.0 dated 2019-08-28 and 0.1.1 dated 2019-09-02
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 7 +++++++ R/stl.R | 2 ++ README.md | 27 ++++++++++++++------------- man/figures/README-graphics-1.png |binary tests/testthat/test-seats.R | 3 +++ tests/testthat/test-x11.R | 3 +++ 8 files changed, 39 insertions(+), 23 deletions(-)
Title: Species Distribution Model Selection
Description: User-friendly framework that enables the training and the
evaluation of species distribution models (SDMs). The package implements
functions for data driven variable selection and model tuning and includes
numerous utilities to display the results. All the functions used to select
variables or to tune model hyperparameters have an interactive real-time
chart displayed in the 'RStudio' viewer pane during their execution.
Author: Sergio Vignali [aut, cre] (<https://orcid.org/0000-0002-3390-5442>),
Arnaud Barras [aut] (<https://orcid.org/0000-0003-0850-6965>),
Veronika Braunisch [aut] (<https://orcid.org/0000-0001-7035-4662>),
Conservation Biology - University of Bern [fnd]
Maintainer: Sergio Vignali <sergio.vignali@iee.unibe.ch>
Diff between SDMtune versions 0.1.1 dated 2019-07-14 and 0.2.0 dated 2019-09-02
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Title: Measuring Disparity
Description: A modular package for measuring disparity from multidimensional matrices. Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics (Guillerme (2018) <doi:10.1111/2041-210X.13022>). The package also provides functions for looking at disparity in a serial way (e.g. disparity through time - Guillerme and Cooper (2018) <doi:10.1111/pala.12364>) or per groups as well as visualising the results. Finally, this package provides several basic statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph],
Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>
Diff between dispRity versions 1.3 dated 2019-08-26 and 1.3.1 dated 2019-09-02
DESCRIPTION | 8 ++++---- MD5 | 22 +++++++++++----------- NAMESPACE | 2 +- NEWS.md | 9 ++++++--- R/chrono.subsets_fun.R | 4 +++- R/custom.subsets.R | 4 +--- R/dispRity.R | 2 +- R/plot.dispRity_fun.R | 9 +++++++-- R/reduce.matrix.R | 2 +- R/zzz.R | 2 +- man/custom.subsets.Rd | 4 +--- man/dispRity.Rd | 2 +- 12 files changed, 38 insertions(+), 32 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-30 1.0.3
2018-06-11 1.0.2
2018-03-25 1.0.1
2018-01-09 1.0.0
2017-11-13 0.4
2017-02-27 0.2
2016-12-07 0.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-01-16 0.5.1
2018-11-22 0.5.0
2018-06-25 0.4.0
2018-03-14 0.3.2
2018-03-03 0.3.1
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-08-25 0.2.3
2019-03-04 0.2.2
2019-01-16 0.2.1
2018-10-17 0.2.0
2018-09-21 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-05-01 3.7.0
2019-01-16 3.6.1
2018-11-25 3.6.0
2018-10-25 3.5.0
2018-09-15 3.4.1
2018-08-14 3.4.0
2018-06-24 3.3.0
2018-05-06 3.2.3
2018-03-13 3.2.2
2018-02-20 3.2.1