Tue, 19 Feb 2019

Package PlayerRatings updated to version 1.0-3 with previous version 1.0-2 dated 2019-02-13

Title: Dynamic Updating Methods for Player Ratings Estimation
Description: Implements schemes for estimating player or team skill based on dynamic updating. Implemented methods include Elo, Glicko, Glicko-2 and Stephenson. Contains pdf documentation of a reproducible analysis using approximately two million chess matches.
Author: Alec Stephenson and Jeff Sonas.
Maintainer: Alec Stephenson <alec_stephenson@hotmail.com>

Diff between PlayerRatings versions 1.0-2 dated 2019-02-13 and 1.0-3 dated 2019-02-19

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Package english updated to version 1.2-0 with previous version 1.1-4 dated 2018-08-07

Title: Translate Integers into English
Description: Allow numbers to be presented in an English language version, one, two, three, ...
Author: John Fox, Bill Venables, Anthony Damico and Anne Pier Salverda
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between english versions 1.1-4 dated 2018-08-07 and 1.2-0 dated 2019-02-19

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Package TCIApathfinder updated to version 1.0.3 with previous version 1.0.2 dated 2018-01-24

Title: Client for the Cancer Imaging Archive REST API
Description: A wrapper for The Cancer Imaging Archive's REST API. The Cancer Imaging Archive (TCIA) hosts de-identified medical images of cancer available for public download, as well as rich metadata for each image series. TCIA provides a REST API for programmatic access to the data. This package provides simple functions to access each API endpoint. For more information, see <https://github.com/pamelarussell/TCIApathfinder> and TCIA's website.
Author: Pamela Russell [aut, cre]
Maintainer: Pamela Russell <pamela.russell@ucdenver.edu>

Diff between TCIApathfinder versions 1.0.2 dated 2018-01-24 and 1.0.3 dated 2019-02-19

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Package stationery updated to version 0.98.6 with previous version 0.98.5.5 dated 2018-10-08

Title: Working Examples for Reproducible Research Documents
Description: Templates, guides, and scripts for writing documents in 'LaTeX' and 'R markdown' to produce guides, slides, and reports. Special care is taken to illustrate use of templates and customization opportunities. Challenges and opportunities of 'HTML' output from 'R markdown' receive special attention. Includes several vignettes to assist new users of literate programming.
Author: Paul Johnson [aut, cre], Brent Kaplan [ctb], Meghan Sullivan [ctb], Charles Redmon [ctb], Zack Roman [ctb], Chong Xing [ctb], Longcan 'Emma' Huang [ctb]
Maintainer: Paul Johnson <pauljohn@ku.edu>

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Package Renvlp updated to version 2.6 with previous version 2.5 dated 2018-01-18

Title: Computing Envelope Estimators
Description: Provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. This package implements response envelopes, partial response envelopes, envelopes in the predictor space, heteroscedastic envelopes, simultaneous envelopes, scaled response envelopes, scaled envelopes in the predictor space, groupwise envelopes, weighted envelopes, envelopes in logistic regression and envelopes in Poisson regression. For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included except for weighted envelopes. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016) <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise coordinate descent algorithm.
Author: Minji Lee, Zhihua Su
Maintainer: Minji Lee <mlee9@ufl.edu>

Diff between Renvlp versions 2.5 dated 2018-01-18 and 2.6 dated 2019-02-19

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New package palasso with initial version 0.0.3
Package: palasso
Version: 0.0.3
Title: Paired Lasso Regression
Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2019). For the optional shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).
Depends: R (>= 3.5.0)
Imports: glmnet, Matrix, survival
Suggests: knitr, testthat, pROC, edgeR
Enhances: ashr, CorShrink
Authors@R: person("Armin","Rauschenberger",email="a.rauschenberger@vumc.nl",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/rauschenberger/palasso
BugReports: https://github.com/rauschenberger/palasso/issues
NeedsCompilation: no
Packaged: 2019-02-19 19:32:55 UTC; arra
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <a.rauschenberger@vumc.nl>
Repository: CRAN
Date/Publication: 2019-02-19 21:30:03 UTC

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Package kutils updated to version 1.64 with previous version 1.60 dated 2019-01-23

Title: Project Management Tools
Description: Tools for data importation, recoding, and inspection that are used at the University of Kansas Center for Research Methods and Data Analysis. There are functions to create new project folders, R code templates, create uniquely named output directories, and to quickly obtain a visual summary for each variable in a data frame. The main feature here is the systematic implementation of the "variable key" framework for data importation and recoding. We are eager to have community feedback about the variable key and the vignette about it.
Author: Paul Johnson [aut, cre], Benjamin Kite [aut], Charles Redmon [aut], Jared Harpole [ctb], Kenna Whitley [ctb], Po-Yi Chen [ctb], Shadi Pirhosseinloo [ctb]
Maintainer: Paul Johnson <pauljohn@ku.edu>

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Package idealstan updated to version 0.7.1 with previous version 0.7.0 dated 2019-02-19

Title: Generalized IRT Ideal Point Models with 'Stan'
Description: Offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Full and approximate Bayesian sampling with 'Stan' (<https://mc-stan.org/>).
Author: Robert Kubinec [aut, cre], Jonah Gabry [ctb], Ben Goodrich [ctb], Trustees of Columbia University [cph]
Maintainer: Robert Kubinec <rmk7@nyu.edu>

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New package ggvoronoi with initial version 0.8.3
Package: ggvoronoi
Version: 0.8.3
Date: 2019-02-19
Title: Voronoi Diagrams and Heatmaps with 'ggplot2'
Author: Robert C. Garrett [aut, cre], Austin Nar [aut], Thomas J. Fisher [aut], Karsten Maurer [ctb]
Maintainer: Robert C. Garrett <garretrc@miamioh.edu>
Authors@R: c(person("Robert C.", "Garrett", email = "garretrc@miamioh.edu", role = c("aut", "cre")), person("Austin", "Nar", email = "narar@miamioh.edu", role = c("aut")), person("Thomas J.", "Fisher", email = "fishert4@miamioh.edu", role = c("aut")), person("Karsten", "Maurer", email = "maurerkt@miamioh.edu", role = c("ctb")))
Description: Easy creation and manipulation of Voronoi diagrams using 'deldir' with visualization in 'ggplot2'.
Depends: R (>= 2.10), ggplot2 (>= 2.2.0)
Imports: deldir, sp, rgeos, raster, methods
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, ggmap, dplyr, scales, testthat, vdiffr, mapproj
VignetteBuilder: knitr
URL: https://github.com/garretrc/ggvoronoi/
NeedsCompilation: no
Packaged: 2019-02-19 21:39:14 UTC; garre
Repository: CRAN
Date/Publication: 2019-02-19 22:00:03 UTC

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Package acs updated to version 2.1.4 with previous version 2.1.3 dated 2018-03-02

Title: Download, Manipulate, and Present American Community Survey and Decennial Data from the US Census
Description: Provides a general toolkit for downloading, managing, analyzing, and presenting data from the U.S. Census (<https://www.census.gov/data/developers/data-sets.html>), including SF1 (Decennial short-form), SF3 (Decennial long-form), and the American Community Survey (ACS). Confidence intervals provided with ACS data are converted to standard errors to be bundled with estimates in complex acs objects. Package provides new methods to conduct standard operations on acs objects and present/plot data in statistically appropriate ways.
Author: Ezra Haber Glenn [aut, cre]
Maintainer: Ezra Haber Glenn <eglenn@mit.edu>

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Package rmdformats updated to version 0.3.5 with previous version 0.3.4 dated 2019-01-10

Title: HTML Output Formats and Templates for 'rmarkdown' Documents
Description: HTML formats and templates for 'rmarkdown' documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

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Permanent link

Package nhdR updated to version 0.5.1 with previous version 0.5.0 dated 2019-01-30

Title: Tools for working with the National Hydrography Dataset
Description: Tools for working with the National Hydrography Dataset, with functions for querying, downloading, and networking both the NHD <https://www.usgs.gov/core-science-systems/ngp/national-hydrography> and NHDPlus <http://www.horizon-systems.com/nhdplus> datasets.
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>)
Maintainer: Joseph Stachelek <stachel2@msu.edu>

Diff between nhdR versions 0.5.0 dated 2019-01-30 and 0.5.1 dated 2019-02-19

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Package tidybayes updated to version 1.0.4 with previous version 1.0.3 dated 2018-10-22

Title: Tidy Data and 'Geoms' for Bayesian Models
Description: Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.
Author: Matthew Kay [aut, cre], Timothy Mastny [ctb]
Maintainer: Matthew Kay <mjskay@umich.edu>

Diff between tidybayes versions 1.0.3 dated 2018-10-22 and 1.0.4 dated 2019-02-19

 tidybayes-1.0.3/tidybayes/man/figures/preview.png                                                                 |only
 tidybayes-1.0.4/tidybayes/DESCRIPTION                                                                             |   28 
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 tidybayes-1.0.4/tidybayes/NAMESPACE                                                                               |   25 
 tidybayes-1.0.4/tidybayes/NEWS.md                                                                                 |   20 
 tidybayes-1.0.4/tidybayes/R/add_draws.R                                                                           |only
 tidybayes-1.0.4/tidybayes/R/compare_levels.R                                                                      |  422 ++--
 tidybayes-1.0.4/tidybayes/R/gather_emmeans_draws.R                                                                |   36 
 tidybayes-1.0.4/tidybayes/R/gather_pairs.R                                                                        |  286 +-
 tidybayes-1.0.4/tidybayes/R/geom_halfeyeh.R                                                                       |    3 
 tidybayes-1.0.4/tidybayes/R/geom_lineribbon.R                                                                     |  338 +--
 tidybayes-1.0.4/tidybayes/R/geom_pointinterval.R                                                                  |    7 
 tidybayes-1.0.4/tidybayes/R/geom_pointintervalh.R                                                                 |    2 
 tidybayes-1.0.4/tidybayes/R/point_interval.R                                                                      |  878 ++++----
 tidybayes-1.0.4/tidybayes/R/predict_curve.R                                                                       |  456 ++--
 tidybayes-1.0.4/tidybayes/R/predicted_draws.R                                                                     |  546 ++---
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 tidybayes-1.0.4/tidybayes/R/sample_draws.R                                                                        |only
 tidybayes-1.0.4/tidybayes/R/spread_draws.R                                                                        |    7 
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 tidybayes-1.0.4/tidybayes/R/stat_pointinterval.R                                                                  |    7 
 tidybayes-1.0.4/tidybayes/R/stat_pointintervalh.R                                                                 |    2 
 tidybayes-1.0.4/tidybayes/R/tidy_draws.R                                                                          |    6 
 tidybayes-1.0.4/tidybayes/R/ungather_draws.R                                                                      |    2 
 tidybayes-1.0.4/tidybayes/R/util.R                                                                                |    4 
 tidybayes-1.0.4/tidybayes/R/x_at_y.R                                                                              |    7 
 tidybayes-1.0.4/tidybayes/build/vignette.rds                                                                      |binary
 tidybayes-1.0.4/tidybayes/inst/doc/tidy-brms.R                                                                    |   75 
 tidybayes-1.0.4/tidybayes/inst/doc/tidy-brms.Rmd                                                                  |   87 
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 tidybayes-1.0.4/tidybayes/inst/doc/tidy-rstanarm.R                                                                |   33 
 tidybayes-1.0.4/tidybayes/inst/doc/tidy-rstanarm.Rmd                                                              |   36 
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 tidybayes-1.0.4/tidybayes/inst/doc/tidybayes.R                                                                    |   38 
 tidybayes-1.0.4/tidybayes/inst/doc/tidybayes.Rmd                                                                  |   42 
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 tidybayes-1.0.4/tidybayes/man/gather_emmeans_draws.Rd                                                             |   20 
 tidybayes-1.0.4/tidybayes/man/geom_halfeyeh.Rd                                                                    |    2 
 tidybayes-1.0.4/tidybayes/man/geom_lineribbon.Rd                                                                  |    4 
 tidybayes-1.0.4/tidybayes/man/geom_pointinterval.Rd                                                               |    9 
 tidybayes-1.0.4/tidybayes/man/recover_types.Rd                                                                    |    2 
 tidybayes-1.0.4/tidybayes/man/sample_draws.Rd                                                                     |only
 tidybayes-1.0.4/tidybayes/man/stat_lineribbon.Rd                                                                  |    4 
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 tidybayes-1.0.4/tidybayes/tests/figs/deps.txt                                                                     |    9 
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 tidybayes-1.0.4/tidybayes/tests/testthat/test.compose_data.R                                                      |    2 
 tidybayes-1.0.4/tidybayes/tests/testthat/test.fitted_draws.R                                                      |  758 +++----
 tidybayes-1.0.4/tidybayes/tests/testthat/test.gather_emmeans_draws.R                                              |   36 
 tidybayes-1.0.4/tidybayes/tests/testthat/test.geom_eye.R                                                          |  114 -
 tidybayes-1.0.4/tidybayes/tests/testthat/test.geom_interval.R                                                     |  202 +-
 tidybayes-1.0.4/tidybayes/tests/testthat/test.geom_lineribbon.R                                                   |  178 -
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 tidybayes-1.0.4/tidybayes/tests/testthat/test.get_variables.R                                                     |   70 
 tidybayes-1.0.4/tidybayes/tests/testthat/test.point_interval.R                                                    |    4 
 tidybayes-1.0.4/tidybayes/tests/testthat/test.predicted_draws.R                                                   |  315 +--
 tidybayes-1.0.4/tidybayes/tests/testthat/test.spread_draws.R                                                      |  635 +++---
 tidybayes-1.0.4/tidybayes/tests/testthat/test.ungather_draws.R                                                    |    4 
 tidybayes-1.0.4/tidybayes/tests/testthat/test.unspread_draws.R                                                    |    4 
 tidybayes-1.0.4/tidybayes/vignettes/tidy-brms.Rmd                                                                 |   87 
 tidybayes-1.0.4/tidybayes/vignettes/tidy-rstanarm.Rmd                                                             |   36 
 tidybayes-1.0.4/tidybayes/vignettes/tidybayes-residuals.Rmd                                                       |only
 tidybayes-1.0.4/tidybayes/vignettes/tidybayes.Rmd                                                                 |   42 
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More information about tidybayes at CRAN
Permanent link

New package pliable with initial version 1.0
Package: pliable
Type: Package
Title: The Pliable Lasso Test
Version: 1.0
Date: 2019-02-11
Author: Robert Tibshirani, Jerome Friedman
Maintainer: Robert Tibshirani <tibs@stanford.edu>
Depends: class, glmnet
License: GPL-3
Suggests: knitr, rmarkdown
Description: Fits a pliable lasso model. For details see Tibshirani and Friedman (2018) <arXiv:1712.00484>.
URL: https://arxiv.org/abs/1712.00484
Packaged: 2019-02-11 21:25:32 UTC; robtibshirani
VignetteBuilder: knitr
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2019-02-19 18:50:05 UTC
RoxygenNote: 6.1.1

More information about pliable at CRAN
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New package pak with initial version 0.1.2
Package: pak
Version: 0.1.2
Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Authors@R: c( person("Jim", "Hester", email = "james.f.hester@gmail.com", role = "aut"), person("Gábor", "Csárdi", email = "csardi.gabor@gmail.com", role = c("aut", "cre")), person("RStudio", role = "cph"))
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.1.1
Imports: assertthat, base64enc, callr (>= 3.0.0.9002), cli (>= 1.0.0), cliapp (>= 0.0.0.9002), crayon (>= 1.3.4), curl (>= 3.2), desc (>= 1.2.0), filelock (>= 1.0.2), glue (>= 1.3.0), jsonlite, lpSolve, pkgbuild (>= 1.0.2), pkgcache (>= 1.0.3), prettyunits, processx (>= 3.2.1), ps (>= 1.3.0), R6, rematch2, rprojroot (>= 1.3.2), tibble, utils
Depends: R (>= 3.2)
Suggests: covr, mockery, pingr, testthat, withr
URL: https://pak.r-lib.org/
BugReports: https://github.com/r-lib/pak/issues
NeedsCompilation: no
Packaged: 2019-02-16 22:07:13 UTC; gaborcsardi
Author: Jim Hester [aut], Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2019-02-19 18:50:08 UTC

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Package KOGMWU updated to version 1.2 with previous version 1.1 dated 2016-11-17

Title: Functional Summary and Meta-Analysis of Gene Expression Data
Description: Rank-based tests for enrichment of KOG (euKaryotic Orthologous Groups) classes with up- or down-regulated genes based on a continuous measure. The meta-analysis is based on correlation of KOG delta-ranks across datasets (delta-rank is the difference between mean rank of genes belonging to a KOG class and mean rank of all other genes). With binary measure (1 or 0 to indicate significant and non-significant genes), one-tailed Fisher's exact test for over-representation of each KOG class among significant genes will be performed.
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz <matz@utexas.edu>

Diff between KOGMWU versions 1.1 dated 2016-11-17 and 1.2 dated 2019-02-19

 DESCRIPTION                          |    8 ++++----
 MD5                                  |   12 ++++++------
 data/adults.3dHeat.logFoldChange.rda |binary
 data/gene2kog.rda                    |binary
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 data/larvae.shortTerm.rda            |binary
 man/KOGMWU-package.Rd                |   11 ++++++-----
 7 files changed, 16 insertions(+), 15 deletions(-)

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New package configural with initial version 0.1.1
Package: configural
Type: Package
Title: Multivariate Profile Analysis
Version: 0.1.1
Date: 2019-01-20
Authors@R: c( person("Brenton M.", "Wiernik", role = c("aut", "cre"), email = "brenton@wiernik.org") )
BugReports: https://github.com/bwiernik/configural/issues
Description: R functions for criterion profile analysis, Davison and Davenport (2002) <doi:10.1037/1082-989X.7.4.468> and meta-analytic criterion profile analysis, Wiernik, Wilmot, Davison, and Ones (2019). Sensitivity analyses to aid in interpreting criterion profile analysis results are also included.
License: GPL (>= 3)
Depends: R (>= 3.4.0)
Encoding: UTF-8
LazyData: true
Imports: stats, dplyr, crayon, cli, stringr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-02-10 00:49:36 UTC; brenton
Author: Brenton M. Wiernik [aut, cre]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>
Repository: CRAN
Date/Publication: 2019-02-19 18:10:09 UTC

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Package sars updated to version 1.1.1 with previous version 1.1.0 dated 2019-01-28

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] (<https://orcid.org/0000-0002-7624-244X>), Francois Guilhaumon [aut] (<https://orcid.org/0000-0003-4707-8932>)
Maintainer: Thomas J. Matthews <txm676@gmail.com>

Diff between sars versions 1.1.0 dated 2019-01-28 and 1.1.1 dated 2019-02-19

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Package ggthemes updated to version 4.1.0 with previous version 4.0.1 dated 2018-08-24

Title: Extra Themes, Scales and Geoms for 'ggplot2'
Description: Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.
Author: Jeffrey B. Arnold [aut, cre] (<https://orcid.org/0000-0001-9953-3904>), Gergely Daroczi [ctb], Bo Werth [ctb], Brian Weitzner [ctb], Joshua Kunst [ctb], Baptise Auguie [ctb], Bob Rudis [ctb], Hadley Wickham [ctb] (Code from the ggplot2 package.), Justin Talbot [ctb] (Code from the labeling package), Joshua London [ctb]
Maintainer: Jeffrey B. Arnold <jeffrey.arnold@gmail.com>

Diff between ggthemes versions 4.0.1 dated 2018-08-24 and 4.1.0 dated 2019-02-19

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New package fugue with initial version 0.1.7
Package: fugue
Type: Package
Title: Sensitivity Analysis Optimized for Matched Sets of Varied Sizes
Version: 0.1.7
Author: Xinran Li and Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: As in music, a fugue statistic repeats a theme in small variations. Here, the psi-function that defines an m-statistic is slightly altered to maintain the same design sensitivity in matched sets of different sizes. The main functions in the package are sen() and senCI(). For sensitivity analyses for m-statistics, see Rosenbaum (2007) Biometrics 63 456-464 <doi:10.1111/j.1541-0420.2006.00717.x>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stats
NeedsCompilation: no
Packaged: 2019-02-09 18:32:48 UTC; Rosenbaum
Repository: CRAN
Date/Publication: 2019-02-19 18:00:03 UTC

More information about fugue at CRAN
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Package forestChange updated to version 0.4 with previous version 0.3 dated 2018-12-22

Title: Computing Essential Biodiversity Variables from Global Forest Change Data
Description: Metrics of two Essential Biodiversity Variables: forest extents and forest fragmentation indices (O'connor et al., 2015) <doi:10.1002/rse2.4> are computed by processing Global Forest Change data (Hansen et al., 2013) <doi:10.1126/science.1244693>. The Forest Change Data are extracted using either Geographic Administrative Units, see <https://gadm.org/>, or user-defined polygons. Most of the procedures can be understood implementing two functions: FCPolygon() and EBVmetric().
Author: Wilson Lara <wilarhen@temple.edu>, Victor Gutierrez-Velez <victorhugo@temple.edu>
Maintainer: Wilson Lara <wilarhen@temple.edu>

Diff between forestChange versions 0.3 dated 2018-12-22 and 0.4 dated 2019-02-19

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Package wrapr updated to version 1.8.4 with previous version 1.8.3 dated 2019-01-29

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools:strmacro()' and 'base::bquote()'), '%.>%' dot-pipe (an 'S3' configurable pipe), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 1.8.3 dated 2019-01-29 and 1.8.4 dated 2019-02-19

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Package curveDepth updated to version 0.1.0.9 with previous version 0.1.0.8 dated 2019-01-21

Title: Tukey Curve Depth and Distance in the Space of Curves
Description: Data recorded as paths or trajectories may be suitably described by curves, which are independent of their parametrization. For the space of such curves, the package provides functionalities for reading curves, sampling points on curves, calculating distance between curves and for computing Tukey curve depth of a curve w.r.t. to a bundle of curves. For details see Lafaye De Micheaux, Mozharovskyi, and Vimond (2019) <arXiv:1901.00180>.
Author: Pavlo Mozharovskyi [aut, cre], Pierre Lafaye De Micheaux [aut], Myriam Vimond [aut]
Maintainer: Pavlo Mozharovskyi <pavlo.mozharovskyi@telecom-paristech.fr>

Diff between curveDepth versions 0.1.0.8 dated 2019-01-21 and 0.1.0.9 dated 2019-02-19

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Package ClinReport updated to version 0.9.1.6 with previous version 0.9.1.1 dated 2019-02-08

Title: Statistical Reporting in Clinical Trials
Description: It enables to create easily formatted statistical tables in 'Microsoft Word' documents in pretty formats according to 'clinical standards'. It can be used also outside the scope of clinical trials, for any statistical reporting in 'Word'. Descriptive tables for quantitative statistics (mean, median, max etc..) and/or qualitative statistics (frequencies and percentages) are available and formatted tables of Least Square Means of Linear Models, Linear Mixed Models and Generalized Linear Mixed Models coming from emmeans() function are also available. The package works with 'officer' and 'flextable' packages to export the outputs into 'Microsoft Word' documents.
Author: JF COLLIN
Maintainer: JF COLLIN <jfcollin@live.fr>

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Package rsppfp updated to version 1.0.4 with previous version 1.0.3 dated 2018-11-20

Title: R's Shortest Path Problem with Forbidden Subpaths
Description: An implementation of functionalities to transform directed graphs that are bound to a set of known forbidden paths. There are several transformations, following the rules provided by Villeneuve and Desaulniers (2005) <doi: 10.1016/j.ejor.2004.01.032>, and Hsu et al. (2009) <doi: 10.1007/978-3-642-03095-6_60>. The resulting graph is generated in a data-frame format. See rsppfp website for more information, documentation an examples.
Author: Melina Vidoni [aut, cre] (<https://orcid.org/0000-0002-4099-1430>), Aldo Vecchietti [aut]
Maintainer: Melina Vidoni <melinavidoni@santafe-conicet.gov.ar>

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Package rollmatch updated to version 2.0.1 with previous version 1.0.1 dated 2018-05-30

Title: Rolling Entry Matching
Description: Functions to perform propensity score matching on rolling entry interventions for which a suitable "entry" date is not observed for nonparticipants. For more details, please reference Witman, Beadles, Liu, Larsen, Kafali, Gandhi, Amico, and Hoerger (2018) <https://onlinelibrary.wiley.com/doi/abs/10.1111/1475-6773.13086>.
Author: Rob Chew [aut, cre], Kasey Jones [aut, cre], Mahin Manley [aut], Allison Witman [res], Chris Beadles [res], Yiyan Liu [res], Ann Larson [res]
Maintainer: Rob Chew <rchew@rti.org>

Diff between rollmatch versions 1.0.1 dated 2018-05-30 and 2.0.1 dated 2019-02-19

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Package robCompositions updated to version 2.0.10 with previous version 2.0.9 dated 2018-11-08

Title: Robust Estimation for Compositional Data
Description: Methods for analysis of compositional data including robust methods, imputation, methods to replace rounded zeros, (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram.
Author: Matthias Templ [aut, cre], Karel Hron [aut], Peter Filzmoser [aut], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package ssizeRNA updated to version 1.3.1 with previous version 1.2.9 dated 2017-01-09

Title: Sample Size Calculation for RNA-Seq Experimental Design
Description: We propose a procedure for sample size calculation while controlling false discovery rate for RNA-seq experimental design. Our procedure depends on the Voom method proposed for RNA-seq data analysis by Law et al. (2014) <DOI:10.1186/gb-2014-15-2-r29> and the sample size calculation method proposed for microarray experiments by Liu and Hwang (2007) <DOI:10.1093/bioinformatics/btl664>. We develop a set of functions that calculates appropriate sample sizes for two-sample t-test for RNA-seq experiments with fixed or varied set of parameters. The outputs also contain a plot of power versus sample size, a table of power at different sample sizes, and a table of critical test values at different sample sizes. To install this package, please use 'source("http://bioconductor.org/biocLite.R"); biocLite("ssizeRNA")'.
Author: Ran Bi [aut, cre], Peng Liu [aut], Tim Triche [ctb]
Maintainer: Ran Bi <biranpier@gmail.com>

Diff between ssizeRNA versions 1.2.9 dated 2017-01-09 and 1.3.1 dated 2019-02-19

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Package sampleSelection updated to version 1.2-2 with previous version 1.2-0 dated 2017-12-07

Title: Sample Selection Models
Description: Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models.
Author: Arne Henningsen [aut, cre], Ott Toomet [aut], Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between sampleSelection versions 1.2-0 dated 2017-12-07 and 1.2-2 dated 2019-02-19

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New package pgdraw with initial version 1.1
Package: pgdraw
Type: Package
Title: Generate Random Samples from the Polya-Gamma Distribution
Version: 1.1
Date: 2019-02-19
Author: Daniel F. Schmidt [aut, cph, cre], Enes Makalic [aut, cph]
Maintainer: Daniel F. Schmidt <daniel.schmidt@monash.edu>
Description: Generates random samples from the Polya-Gamma distribution using an implementation of the algorithm described in J. Windle's PhD thesis (2013) <https://repositories.lib.utexas.edu/bitstream/handle/2152/21842/WINDLE-DISSERTATION-2013.pdf>. The underlying implementation is in C.
License: GPL (>= 3)
Imports: Rcpp (>= 0.12.16)
NeedsCompilation: yes
LinkingTo: Rcpp
Authors@R: c( person("Daniel F. Schmidt", email="daniel.schmidt@monash.edu", role = c("aut","cph","cre")), person("Enes Makalic", email="emakalic@unimelb.edu.au", role=c("aut","cph")) )
RoxygenNote: 6.1.0
Packaged: 2019-02-19 01:26:45 UTC; dschmidt
Repository: CRAN
Date/Publication: 2019-02-19 13:00:03 UTC

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Package geonames updated to version 0.999 with previous version 0.998 dated 2014-12-19

Title: Interface to the "Geonames" Spatial Query Web Service
Description: The web service at <https://www.geonames.org/> provides a number of spatial data queries, including administrative area hierarchies, city locations and some country postal code queries. A (free) username is required and rate limits exist.
Author: Barry Rowlingson
Maintainer: Barry Rowlingson <b.rowlingson@gmail.com>

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Package ssh updated to version 0.4 with previous version 0.3 dated 2018-10-07

Title: Secure Shell (SSH) Client for R
Description: Connect to a remote server over SSH to transfer files via SCP, setup a secure tunnel, or run a command or script on the host while streaming stdout and stderr directly to the client.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package bupaR updated to version 0.4.2 with previous version 0.4.1 dated 2018-07-01

Title: Business Process Analysis in R
Description: Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.
Author: Gert Janssenswillen [aut, cre]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package longpower (with last version 1.0-16.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-09-11 1.0-16.1
2016-07-25 1.0-16
2016-05-17 1.0-15
2015-01-16 1.0-11
2013-09-14 1.0-10
2013-06-17 1.0-9
2013-05-28 1.0-8
2013-05-22 1.0-7
2013-01-23 1.0-4
2013-01-11 1.0-3
2012-05-31 1.0-2
2010-09-01 1.0-1

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Package ggvoronoi (with last version 0.8.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-11-15 0.8.2
2018-10-04 0.8.1
2018-07-20 0.8.0

Permanent link
Package ubeR (with last version 0.1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-02-16 0.1.4
2016-10-22 0.1.3

Permanent link
Package rockchalk updated to version 1.8.140 with previous version 1.8.129 dated 2018-11-09

Title: Regression Estimation and Presentation
Description: A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in <http://pj.freefaculty.org/guides>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Author: Paul E. Johnson [aut, cre], Gabor Grothendieck [ctb]
Maintainer: Paul E. Johnson <pauljohn@ku.edu>

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Package perturbR updated to version 0.1.3 with previous version 0.1.2 dated 2018-07-27

Title: Random Perturbation of Count Matrices
Description: The perturbR() function incrementally perturbs network edges (using the rewireR function)and compares the resulting community detection solutions from the rewired networks with the solution found for the original network. These comparisons aid in understanding the stability of the original solution. The package requires symmetric, weighted (specifically, count) matrices/networks.
Author: KM Gates [aut, cre], Zachary Fisher [aut], Cara Arizmendi [aut]
Maintainer: KM Gates <gateskm@email.unc.edu>

Diff between perturbR versions 0.1.2 dated 2018-07-27 and 0.1.3 dated 2019-02-19

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Package idealstan updated to version 0.7.0 with previous version 0.5.1 dated 2018-12-06

Title: Generalized IRT Ideal Point Models with 'Stan'
Description: Offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
Author: Robert Kubinec [aut, cre], Jonah Gabry [ctb], Ben Goodrich [ctb], Trustees of Columbia University [cph]
Maintainer: Robert Kubinec <rmk7@nyu.edu>

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Package relMix updated to version 1.3 with previous version 1.2.3 dated 2017-04-03

Title: Relationship Inference for DNA Mixtures
Description: Makes relationship inference involving DNA mixtures with unknown profiles.
Author: Guro Dorum, Elias Hernandis, Navreet Kaur, Thore Egeland
Maintainer: Guro Dorum <guro.dorum@gmail.com>

Diff between relMix versions 1.2.3 dated 2017-04-03 and 1.3 dated 2019-02-19

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More information about relMix at CRAN
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Package haven updated to version 2.1.0 with previous version 2.0.0 dated 2018-11-21

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Description: Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
Author: Hadley Wickham [aut, cre], Evan Miller [aut, cph] (Author of included ReadStat code), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between haven versions 2.0.0 dated 2018-11-21 and 2.1.0 dated 2019-02-19

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More information about haven at CRAN
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Package divDyn updated to version 0.7.1 with previous version 0.7.0 dated 2019-01-08

Title: Diversity Dynamics using Fossil Sampling Data
Description: Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2019) <doi:10.1101/423780>.
Author: Adam T. Kocsis, John Alroy, Carl J. Reddin, Wolfgang Kiessling
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between divDyn versions 0.7.0 dated 2019-01-08 and 0.7.1 dated 2019-02-19

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Package CB2 updated to version 1.1 with previous version 1.0 dated 2019-02-11

Title: CRISPR Pooled Screen Analysis using Beta-Binomial Test
Description: Provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis. Details are in Jeong et al. (2018) <doi:10.1101/309302> and Baggerly et al. (2003) <doi:10.1093/bioinformatics/btg173>.
Author: Hyun-Hwan Jeong [aut, cre]
Maintainer: Hyun-Hwan Jeong <hyun-hwan.jeong@bcm.edu>

Diff between CB2 versions 1.0 dated 2019-02-11 and 1.1 dated 2019-02-19

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Package birdnik (with last version 0.1.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-05-27 0.1.1
2016-08-14 0.1.0

Permanent link
Package palasso (with last version 0.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-10-27 0.0.2
2018-05-31 0.0.1

Permanent link
Package ellipsis updated to version 0.1.0 with previous version 0.0.2 dated 2019-01-09

Title: Tools for Working with ...
Description: In S3 generics, it's useful to take ... so that methods can have additional argument. But this flexibility comes at a cost: misspelled arguments will be silently ignored. The ellipsis packages is an experiment that allows a generic to warn if any arguments passed in ... are not used.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between ellipsis versions 0.0.2 dated 2019-01-09 and 0.1.0 dated 2019-02-19

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Package afex updated to version 0.23-0 with previous version 0.22-1 dated 2018-09-24

Title: Analysis of Factorial Experiments
Description: Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).
Author: Henrik Singmann [aut, cre] (<https://orcid.org/0000-0002-4842-3657>), Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut] (<https://orcid.org/0000-0003-4900-788X>), Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]
Maintainer: Henrik Singmann <singmann+afex@gmail.com>

Diff between afex versions 0.22-1 dated 2018-09-24 and 0.23-0 dated 2019-02-19

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