Sun, 14 Feb 2021

New package pompom with initial version 0.2.1
Package: pompom
Type: Package
Title: Person-Oriented Method and Perturbation on the Model
Version: 0.2.1
Authors@R: c(person("Xiao", "Yang", email = "vwendy@gmail.com", role = c("cre", "aut")),person("Nilam", "Ram", email = "nur5@psu.edu", role = "aut"),person("Peter", "Molenaar", email = "pxm21@psu.edu", role = "aut"))
Maintainer: Xiao Yang <vwendy@gmail.com>
Description: An implementation of a hybrid method of person-oriented method and perturbation on the model. Pompom is the initials of the two methods. The hybrid method will provide a multivariate intraindividual variability metric (iRAM). The person-oriented method used in this package refers to uSEM (unified structural equation modeling, see Kim et al., 2007, Gates et al., 2010 and Gates et al., 2012 for details). Perturbation on the model was conducted according to impulse response analysis introduced in Lutkepohl (2007). Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) <doi:10.1002/hbm.20259>. Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>. Gates, K. M., & Molenaar, P. C. M. (2012) <doi:10.1016/j.neuroimage.2012.06.026>. Lutkepohl, H. (2007, ISBN:3540262393).
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.0.0)
Imports: lavaan (>= 0.5-23.1097), ggplot2 (>= 2.2.1), reshape2 (>= 1.4.2), qgraph, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-22 15:46:39 UTC; Xiao Yang
Author: Xiao Yang [cre, aut], Nilam Ram [aut], Peter Molenaar [aut]
Repository: CRAN
Date/Publication: 2021-02-15 00:40:02 UTC

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New package memery with initial version 0.5.6
Package: memery
Version: 0.5.6
Title: Internet Memes for Data Analysts
Description: Generates internet memes that optionally include a superimposed inset plot and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. The package differs from related packages that focus on imitating and reproducing standard memes. Some packages do this by interfacing with online meme generators whereas others achieve this natively. This package takes the latter approach. It does not interface with online meme generators or require any authentication with external websites. It reads images directly from local files or via URL and meme generation is done by the package. While this is similar to the 'meme' package available on CRAN, it differs in that the focus is on allowing for non-standard meme layouts and hybrids of memes mixed with graphs. While this package can be used to make basic memes like an online meme generator would produce, it caters primarily to hybrid graph-meme plots where the meme presentation can be seen as a backdrop highlighting foreground graphs of data analysis results. The package also provides support for an arbitrary number of meme text labels with arbitrary size, position and other attributes rather than restricting to the standard top and/or bottom text placement. This is useful for proper aesthetic interleaving of plots of data between meme image backgrounds and overlain text labels. The package offers a selection of templates for graph placement and appearance with respect to the underlying meme. Graph templates also permit additional template-specific customization. Animated gif support is provided but this is optional and functional only if the 'magick' package is installed. 'magick' is not required unless gif functionality is desired.
Authors@R: person("Matthew", "Leonawicz", email = "mfleonawicz@gmail.com", role = c("aut", "cre"))
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
URL: https://github.com/leonawicz/memery
BugReports: https://github.com/leonawicz/memery/issues
Suggests: testthat, knitr, rmarkdown, covr, magick, gifski
Depends: showtext
Imports: sysfonts, grid, png, jpeg, Cairo, ggplot2, cowplot, magrittr, purrr, shiny, shinycssloaders, shinyBS, colourpicker
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-12 19:58:02 UTC; Matt
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-14 23:50:02 UTC

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New package hddtools with initial version 0.9.4
Package: hddtools
Title: Hydrological Data Discovery Tools
Version: 0.9.4
Authors@R: c(person(given = "Claudia", family = "Vitolo", role = c("aut", "cre"), email = "cvitolodev@gmail.com", comment = c(ORCID = "0000-0002-4252-1176")), person(given = "Wouter", family = "Buytaert", role = c("ctb"), comment = "Supervisor"), person(given = "Erin", family = "Le Dell", role = c("ctb"), comment = "Erin reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/73"), person(given = "Michael", family = "Sumner", role = c("ctb"), comment = "Michael reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/73"))
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>
URL: https://docs.ropensci.org/hddtools/, https://github.com/ropensci/hddtools
BugReports: https://github.com/ropensci/hddtools/issues
Description: Tools to discover hydrological data, accessing catalogues and databases from various data providers. The package is described in Vitolo (2017) "hddtools: Hydrological Data Discovery Tools" <doi:10.21105/joss.00056>.
Depends: R (>= 3.5.0), rgdal
Imports: zoo, sp, curl, XML, raster, readxl, tidyr
Suggests: testthat, leaflet, rmarkdown, knitr, dplyr
VignetteBuilder: knitr
License: GPL-3
Repository: CRAN
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-02-14 15:59:52 UTC; claudia
Author: Claudia Vitolo [aut, cre] (<https://orcid.org/0000-0002-4252-1176>), Wouter Buytaert [ctb] (Supervisor), Erin Le Dell [ctb] (Erin reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/73), Michael Sumner [ctb] (Michael reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/73)
Date/Publication: 2021-02-14 23:40:03 UTC

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New package dnapath with initial version 0.6.6
Package: dnapath
Type: Package
Title: Differential Network Analysis using Gene Pathways
Version: 0.6.6
Author: Tyler Grimes and Somnath Datta
Maintainer: Tyler Grimes <tyler.grimes@unf.edu>
Description: Integrates pathway information into the differential network analysis of two gene expression datasets as described in Grimes, Potter, and Datta (2019) <doi:10.1038/s41598-019-41918-3>. Provides summary functions to break down the results at the pathway, gene, or individual connection level. The differential networks for each pathway of interest can be plotted, and the visualization will highlight any differentially expressed genes and all of the gene-gene associations that are significantly differentially connected.
Depends: R (>= 4.0)
License: GPL-2 | GPL-3
LazyData: true
Imports: Rcpp (>= 1.0.1), biomaRt, reactome.db, corpcor, igraph, ggplot2, SeqNet, Rdpack, dplyr, tibble, stats, methods, curl, graphics, grDevices, utils
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
SystemRequirements: C++11
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, readr, bc3net, DWLasso, huge, GENIE3, minet
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-02-13 06:45:56 UTC; Grimes
Repository: CRAN
Date/Publication: 2021-02-14 23:40:06 UTC

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Package cluster updated to version 2.1.1 with previous version 2.1.0 dated 2019-06-19

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>), Keefe Murphy [ctb] (volume.ellipsoid({d >= 3}))
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package spray updated to version 1.0-11 with previous version 1.0-10 dated 2020-10-03

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>

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Package rgl updated to version 0.105.12 with previous version 0.104.16 dated 2021-01-10

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Daniel Adler <dadler@uni-goettingen.de>, Duncan Murdoch <murdoch.duncan@gmail.com>, and others (see README)
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package reproducer updated to version 0.4.1 with previous version 0.4.0 dated 2020-11-04

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: Includes data analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for AB/BA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram), and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi-site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut, ctb] (The main contributor and maintainer), Barbara Kitchenham [ctb] (Data and code contributor), Tomasz Lewowski [ctb] (Data and code contributor), Marian Jureczko [ctb] (Data contributor), David Budgen [ctb] (Data contributor), Pearl Brereton [ctb] (Data contributor), Jacky Keung [ctb] (Data contributor), Stuart Charters [ctb] (Data contributor), Shirley Gibbs [ctb] (Data contributor), Amnart Pohthong [ctb] (Data contributor), Giuseppe Scanniello [ctb] (Data contributor), Carmine Gravino [ctb] (Data contributor)
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

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Package opencage updated to version 0.2.1 with previous version 0.1.4 dated 2018-01-16

Title: Geocode with the OpenCage API
Description: Geocode with the OpenCage API, either from place name to longitude and latitude (forward geocoding) or from longitude and latitude to the name and address of a location (reverse geocoding), see <https://opencagedata.com/>.
Author: Daniel Possenriede [aut, cre] (<https://orcid.org/0000-0002-6738-9845>), Jesse Sadler [aut] (<https://orcid.org/0000-0001-6081-9681>), Maëlle Salmon [aut] (<https://orcid.org/0000-0002-2815-0399>), Noam Ross [ctb], Jake Russ [ctb], Julia Silge [rev] (Julia Silge reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/36.)
Maintainer: Daniel Possenriede <possenriede+r@gmail.com>

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Package kableExtra updated to version 1.3.2 with previous version 1.3.0 dated 2020-10-22

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre] (<https://orcid.org/0000-0002-3386-6076>), Thomas Travison [ctb], Timothy Tsai [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stéphane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb], Brian Salzer [ctb], George Gui [ctb], Yeliang Fan [ctb], Duncan Murdoch [ctb], Bill Evans [ctb]
Maintainer: Hao Zhu <haozhu233@gmail.com>

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New package huxtable with initial version 5.2.0
Type: Package
Package: huxtable
Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Version: 5.2.0
Authors@R: person(given = "David", family = "Hugh-Jones", role = c("aut", "cre"), email = "davidhughjones@gmail.com")
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
License: MIT + file LICENSE
URL: https://hughjonesd.github.io/huxtable/
BugReports: https://github.com/hughjonesd/huxtable/issues
Imports: assertthat, commonmark, generics, glue, memoise, R6, rlang, stats, stringr (>= 1.2.0), tidyselect, utils, xml2
Suggests: AER, bookdown, broom (>= 0.5.1), broom.mixed, covr, crayon, devtools, dplyr (>= 0.7.0), fansi, flextable (>= 0.5.5), ftExtra (>= 0.0.2), ggplot2, httr, knitr, lme4, lmtest, nlme, nnet, officer, openxlsx, psych, rmarkdown, sandwich, scales, testthat, tibble, tinytex
SystemRequirements: LaTeX packages: adjustbox, array, calc, caption, colortbl, fontspec, graphicx, hhline, hyperref, multirow, siunitx, tabularx, threeparttable, ulem, wrapfig
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-02-13 11:22:25 UTC; david
Repository: CRAN
Date/Publication: 2021-02-14 22:10:06 UTC

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Package greybox updated to version 0.6.7 with previous version 0.6.6 dated 2021-01-08

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Yves R. Sagaert [ctb] (Visiting Research at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package gert updated to version 1.2.0 with previous version 1.1.0 dated 2021-01-25

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Jennifer Bryan [ctb] (<https://orcid.org/0000-0002-6983-2759>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package disk.frame updated to version 0.4.0 with previous version 0.3.7 dated 2020-07-07

Title: Larger-than-RAM Disk-Based Data Manipulation Framework
Description: A disk-based data manipulation tool for working with large-than-RAM datasets. Aims to lower the barrier-to-entry for manipulating large datasets by adhering closely to popular and familiar data manipulation paradigms like 'dplyr' verbs and 'data.table' syntax.
Author: Dai ZJ [aut, cre], Jacky Poon [ctb]
Maintainer: Dai ZJ <zhuojia.dai@gmail.com>

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Package dipsaus updated to version 0.1.4 with previous version 0.1.3 dated 2021-02-13

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using 'RcppParallel' and 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <zhengjia.wang@rice.edu>

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Package cSEM updated to version 0.3.1 with previous version 0.3.0 dated 2020-10-12

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>), Florian Schuberth [aut] (<https://orcid.org/0000-0002-2110-9086>), Tamara Schamberger [ctb] (<https://orcid.org/0000-0002-7845-784X>), Michael Klesel [ctb] (<https://orcid.org/0000-0002-2884-1819>), Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000-0002-9736-3048>)
Maintainer: Manuel E. Rademaker <manuel.rademaker@uni-wuerzburg.de>

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Package TCA updated to version 1.2.1 with previous version 1.1.0 dated 2019-11-16

Title: Tensor Composition Analysis
Description: Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of heterogeneous sources into a three-dimensional matrix of signals (features by observations by sources). The TCA framework further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects; particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a three-dimensional tensor of cell-type-specific methylation levels for each individual (i.e. methylation sites by individuals by cell types) and it allows to detect cell-type-specific statistical relations (associations) with phenotypes. For more details see Rahmani et al. (2019) <DOI:10.1038/s41467-019-11052-9>.
Author: Elior Rahmani [aut, cre], Brandon Jew [ctb]
Maintainer: Elior Rahmani <elior.rahmani@gmail.com>

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Package DeclareDesign updated to version 0.26.0 with previous version 0.24.0 dated 2020-11-14

Title: Declare and Diagnose Research Designs
Description: Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Author: Graeme Blair [aut, cre] (<https://orcid.org/0000-0001-9164-2102>), Jasper Cooper [aut] (<https://orcid.org/0000-0002-8639-3188>), Alexander Coppock [aut] (<https://orcid.org/0000-0002-5733-2386>), Macartan Humphreys [aut] (<https://orcid.org/0000-0001-7029-2326>), Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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New package cvCovEst with initial version 0.3.1
Package: cvCovEst
Title: Cross-Validated Covariance Matrix Estimation
Version: 0.3.1
Authors@R: c( person("Philippe", "Boileau", email = "philippe_boileau@berkeley.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-4850-2507")), person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = "aut", comment = c(ORCID = "0000-0002-7127-2789")), person("Brian", "Collica", email = "bcollica@berkeley.edu ", role = "aut"), person("Jamarcus", "Liu", email = "yanwei.liu@berkeley.edu ", role = "ctb"), person("Mark", "van der Laan", email = "laan@berkeley.edu", role = c("ctb", "ths"), comment = c(ORCID = "0000-0003-1432-5511")), person("Sandrine", "Dudoit", email = "sandrine@stat.berkeley.edu", role = c("ctb", "ths"), comment = c(ORCID = "0000-0002-6069-8629")) )
Description: An efficient cross-validated approach for covariance matrix estimation, particularly useful in high-dimensional settings. This method relies upon the theory of loss-based estimator selection to identify the optimal estimator of the covariance matrix from among a prespecified set of candidate.
Depends: R (>= 3.6.0)
Imports: matrixStats, Matrix, stats, methods, origami, MASS, coop, Rdpack, rlang, dplyr, stringr, purrr, tibble, assertthat, RSpectra, future, future.apply, ggplot2, ggpubr, RColorBrewer
Suggests: testthat, knitr, rmarkdown, covr, spelling
License: MIT + file LICENSE
URL: https://github.com/PhilBoileau/cvCovEst
BugReports: https://github.com/PhilBoileau/cvCovEst/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.1
RdMacros: Rdpack
Language: en-US
NeedsCompilation: no
Packaged: 2021-02-14 19:03:45 UTC; philippe
Author: Philippe Boileau [aut, cre, cph] (<https://orcid.org/0000-0002-4850-2507>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Brian Collica [aut], Jamarcus Liu [ctb], Mark van der Laan [ctb, ths] (<https://orcid.org/0000-0003-1432-5511>), Sandrine Dudoit [ctb, ths] (<https://orcid.org/0000-0002-6069-8629>)
Maintainer: Philippe Boileau <philippe_boileau@berkeley.edu>
Repository: CRAN
Date/Publication: 2021-02-14 21:50:02 UTC

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Package clValid updated to version 0.7 with previous version 0.6-9 dated 2020-07-14

Title: Validation of Clustering Results
Description: Statistical and biological validation of clustering results. This package implements Dunn Index, Silhouette, Connectivity, Stability, BHI and BSI. Further information can be found in Brock, G et al. (2008) <doi: 10.18637/jss.v025.i04>.
Author: Guy Brock <guy.brock@louisville.edu>, Vasyl Pihur <vpihur@gmail.com>, Susmita Datta <susmita.datta@louisville.edu>, and Somnath Datta <somnath.datta@louisville.edu>
Maintainer: Vasyl Pihur <vpihur@gmail.com>

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Package plpoisson updated to version 0.2.0 with previous version 0.1.1 dated 2020-06-04

Title: Prediction Limits for Poisson Distribution
Description: Prediction limits for the Poisson distribution are produced from both frequentist and Bayesian viewpoints. Limiting results are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior distributions. More details on the methodology are discussed in Bejleri and Nandram (2018) <doi:10.1080/03610926.2017.1373814>.
Author: Valbona Bejleri [aut] (<https://orcid.org/0000-0001-9828-968X>), Luca Sartore [aut, cre] (<https://orcid.org/0000-0002-0446-1328>), Balgobin Nandram [aut] (<https://orcid.org/0000-0002-3204-0301>)
Maintainer: Luca Sartore <drwolf85@gmail.com>

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Package buildmer updated to version 1.8 with previous version 1.7.1 dated 2020-08-26

Title: Stepwise Elimination and Term Reordering for Mixed-Effects Regression
Description: Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect-selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, the explained deviance, or the F-test of the change in R².
Author: Cesko C. Voeten [aut, cre] (<https://orcid.org/0000-0003-4687-9973>)
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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Package simhelpers updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-31

Title: Helper Functions for Simulation Studies
Description: Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies. Our derivation and explanation of formulas and our general simulation workflow is closely aligned with the approach described by Morris, White, and Crowther (2019) <DOI: 10.1002/sim.8086>.
Author: Megha Joshi [aut, cre], James Pustejovsky [aut] (<https://orcid.org/0000-0003-0591-9465>)
Maintainer: Megha Joshi <megha.j456@gmail.com>

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Package keyATM updated to version 0.4.0 with previous version 0.3.1 dated 2020-07-29

Title: Keyword Assisted Topic Model
Description: Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2020) <arXiv:2004.05964>.
Author: Shusei Eshima [aut, cre] (<https://orcid.org/0000-0003-3613-4046>), Tomoya Sasaki [aut], William Lowe [ctb], Kosuke Imai [aut], Chung-hong Chan [ctb] (<https://orcid.org/0000-0002-6232-7530>), Romain François [ctb] (<https://orcid.org/0000-0002-2444-4226>)
Maintainer: Shusei Eshima <shuseieshima@g.harvard.edu>

Diff between keyATM versions 0.3.1 dated 2020-07-29 and 0.4.0 dated 2021-02-14

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Package testthat updated to version 3.0.2 with previous version 3.0.1 dated 2020-12-17

Title: Unit Testing for R
Description: Software testing is important, but, in part because it is frustrating and boring, many of us avoid it. 'testthat' is a testing framework for R that is easy to learn and use, and integrates with your existing 'workflow'.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd], R Core team [ctb] (Implementation of utils::recover())
Maintainer: Hadley Wickham <hadley@rstudio.com>

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 tests/testthat/test-compare.R               |    8 -
 tests/testthat/test-expect-inheritance.R    |   14 ++
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 70 files changed, 545 insertions(+), 221 deletions(-)

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Package coenocliner updated to version 0.2-3 with previous version 0.2-2 dated 2016-05-19

Title: Coenocline Simulation
Description: Simulate species occurrence and abundances (counts) along gradients.
Author: Gavin L. Simpson [aut, cre], Jari Oksanen [ctb], Francisco Rodriguez-Sanchez [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

Diff between coenocliner versions 0.2-2 dated 2016-05-19 and 0.2-3 dated 2021-02-14

 DESCRIPTION                             |   10 +++---
 MD5                                     |   47 ++++++++++++++++----------------
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 README.md                               |    2 -
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 build/vignette.rds                      |binary
 inst/ChangeLog                          |    6 ++++
 inst/NEWS                               |    6 ++++
 inst/doc/coenocliner.R                  |   42 ++++++++++++++--------------
 inst/doc/coenocliner.Rnw                |    4 +-
 inst/doc/coenocliner.pdf                |binary
 man/coenocline.Rd                       |   15 ++++++----
 man/coenocliner-internal.Rd             |    1 
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 man/distributions.Rd                    |   19 ++++++------
 man/expand.Rd                           |    7 ++--
 man/locations.Rd                        |    1 
 man/persp.coenocline.Rd                 |    1 
 man/plot.coenocline.Rd                  |    3 --
 man/showParams.Rd                       |    7 ++--
 man/simJamil.Rd                         |   20 +++++++++----
 man/species-response.Rd                 |    5 +--
 man/stack.coenocline.Rd                 |    1 
 tests/Examples/coenocliner-Ex.Rout.save |   26 +++++++++--------
 vignettes/coenocliner.Rnw               |    4 +-
 25 files changed, 127 insertions(+), 109 deletions(-)

More information about coenocliner at CRAN
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Package dgmb (with last version 1.2) was removed from CRAN

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

2015-10-22 1.2
2014-06-25 1.1
2012-04-16 1.0

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