Mon, 02 Nov 2020

Package starwarsdb updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-28

Title: Relational Data from the 'Star Wars' API for Learning and Teaching
Description: Provides data about the 'Star Wars' movie franchise in a set of relational tables or as a complete 'DuckDB' database. All data was collected from the open source 'Star Wars' API <https://swapi.dev/>.
Author: Garrick Aden-Buie [aut, cre] (<https://orcid.org/0000-0002-7111-0077>)
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package samc updated to version 1.2.1 with previous version 1.2.0 dated 2020-10-14

Title: Spatial Absorbing Markov Chains
Description: Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.
Author: Andrew Marx [aut, cre, cph] (<https://orcid.org/0000-0002-7456-1631>), Robert Fletcher [ctb] (<https://orcid.org/0000-0003-1717-5707>), Miguel Acevedo [ctb] (<https://orcid.org/0000-0002-8289-1497>), Jorge Sefair [ctb] (<https://orcid.org/0000-0002-5887-8938>), Chao Wang [ctb] (<https://orcid.org/0000-0003-2706-5122>)
Maintainer: Andrew Marx <andrewjmarx@ufl.edu>

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Package renv updated to version 0.12.1 with previous version 0.12.0 dated 2020-08-28

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package memisc updated to version 0.99.27.2 with previous version 0.99.25.6 dated 2020-07-08

Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

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Package maSAE updated to version 2.0.2 with previous version 2.0.1 dated 2020-03-23

Title: Mandallaz' Model-Assisted Small Area Estimators
Description: An S4 implementation of the unbiased extension of the model- assisted synthetic-regression estimator proposed by Mandallaz (2013) <DOI:10.1139/cjfr-2012-0381>, Mandallaz et al. (2013) <DOI:10.1139/cjfr-2013-0181> and Mandallaz (2014) <DOI:10.1139/cjfr-2013-0449>. It yields smaller variances than the standard bias correction, the generalised regression estimator.
Author: Andreas Dominik Cullmann [aut, cre], Daniel Mandallaz [ctb], Alexander Francis Massey [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package fakemake updated to version 1.8.1 with previous version 1.8.0 dated 2020-09-28

Title: Mock the Unix Make Utility
Description: Use R as a minimal build system. This might come in handy if you are developing R packages and can not use a proper build system. Stay away if you can (use a proper build system).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package RNewsflow updated to version 1.2.5 with previous version 1.2.4 dated 2020-05-04

Title: Tools for Comparing Text Messages Across Time and Media
Description: A collection of tools for measuring the similarity of text messages and tracing the flow of messages over time and across media.
Author: Kasper Welbers & Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

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Package profvis updated to version 0.3.7 with previous version 0.3.6 dated 2019-05-14

Title: Interactive Visualizations for Profiling R Code
Description: Interactive visualizations for profiling R code.
Author: Winston Chang [aut, cre], Javier Luraschi [aut], Timothy Mastny [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt), Mike Bostock [ctb, cph] (D3 library), D3 contributors [ctb] (D3 library), Ivan Sagalaev [ctb, cph] (highlight.js library)
Maintainer: Winston Chang <winston@rstudio.com>

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Package hR updated to version 0.2.4 with previous version 0.2.2 dated 2020-07-17

Title: Toolkit for Data Analytics in Human Resources
Description: Transform and analyze workforce data in meaningful ways for human resources (HR) analytics. Get started with workforce planning using a simple Shiny app.
Author: Dale Kube [aut, cre]
Maintainer: Dale Kube <dkube@uwalumni.com>

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Package backports updated to version 1.2.0 with previous version 1.1.10 dated 2020-09-15

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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New package TPLSr with initial version 1.0.1
Package: TPLSr
Type: Package
Title: Thresholded Partial Least Squares Model for Neuroimaging Data
Version: 1.0.1
Authors@R: person("Sangil", "Lee", email = "sangillee3rd@gmail.com", role = c("aut", "cre"))
Description: Uses thresholded partial least squares algorithm to create a regression or classification model.
License: GPL-3
Depends: R (>= 4.0), plotly (>= 4.9.2.1)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.1.1
Packaged: 2020-10-24 22:42:58 UTC; sangi
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-02 17:10:02 UTC

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New package RcmdrPlugin.DCCV with initial version 0.1-0
Package: RcmdrPlugin.DCCV
Type: Package
Title: R Commander Plug-in for Dichotomous Choice Contingent Valuation
Version: 0.1-0
Date: 2020-10-24
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>
Description: Adds menu items to the R Commander for parametric analysis of dichotomous choice contingent valuation (DCCV) data. CV is a question-based survey method to elicit individuals' preferences for goods and services. This package depends on functions regarding parametric DCCV analysis in the package DCchoice. See Carson and Hanemann (2005) <doi:10.1016/S1574-0099(05)02017-6> for DCCV.
License: GPL (>= 2)
Imports: Rcmdr
Depends: DCchoice
RcmdrModels: sbchoice, dbchoice, oohbchoice
NeedsCompilation: no
Packaged: 2020-10-24 06:25:41 UTC; user
Repository: CRAN
Date/Publication: 2020-11-02 17:10:05 UTC

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Package growthrates updated to version 0.8.2 with previous version 0.8.1 dated 2019-12-17

Title: Estimate Growth Rates from Experimental Data
Description: A collection of methods to determine growth rates from experimental data, in particular from batch experiments and plate reader trials.
Author: Thomas Petzoldt [aut, cre] (<https://orcid.org/0000-0002-4951-6468>)
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between growthrates versions 0.8.1 dated 2019-12-17 and 0.8.2 dated 2020-11-02

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Package saeME updated to version 1.2.4 with previous version 1.2.3 dated 2020-10-12

Title: Small Area Estimation with Measurement Error
Description: A set of functions and datasets implementation of small area estimation when auxiliary variable is measured with error. These functions provide a empirical best linear unbiased prediction (EBLUP) estimator and mean squared error (MSE) estimator of the EBLUP. These models were developed by Ybarra and Lohr (2008) <doi:10.1093/biomet/asn048>.
Author: Muhammad Rifqi Mubarak [aut, cre], Azka Ubaidillah [aut]
Maintainer: Muhammad Rifqi Mubarak <16.9304@stis.ac.id>

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Package rMIDAS updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-29

Title: Multiple Imputation with Denoising Autoencoders
Description: A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks. This algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when applied to large datasets with complex features. Alongside interfacing with 'Python' to run the core algorithm, this package contains functions for processing data before and after model training, running imputation model diagnostics, generating multiple completed datasets, and estimating regression models on these datasets.
Author: Thomas Robinson [aut, cre, cph] (<https://orcid.org/0000-0001-7097-1599>), Ranjit Lall [aut, cph] (<https://orcid.org/0000-0003-1455-3506>), Alex Stenlake [ctb, cph]
Maintainer: Thomas Robinson <ts.robinson1994@gmail.com>

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Package StratigrapheR updated to version 1.1.1 with previous version 1.1.0 dated 2020-06-01

Title: Integrated Stratigraphy
Description: Includes bases for litholog generation: graphical functions based on R base graphics, interval management functions and svg importation functions among others. Also include stereographic projection functions, and other functions made to deal with large datasets while keeping options to get into the details of the data. When using for publication please cite Wouters, S., Da Silva, A.C. Crucifix, M., Sinnesael, M., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2019, Litholog generation with the StratigrapheR package and signal decomposition for cyclostratigraphic purposes. Geophysical Research Abstracts Vol. 21, EGU2019-5520, 2019, EGU General Assembly 2019. <http://hdl.handle.net/2268/234402> The palaeomagnetism functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism. University of California Press. <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W., Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo, N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet: Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi: 10.1016/j.cageo.2012.07.021>.
Author: Sebastien Wouters [aut, cre], Adam D. Smith [ctb]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>

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Package mlr3viz updated to version 0.5.0 with previous version 0.4.0 dated 2020-10-05

Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are intended to provide sensible defaults, yet can easily be customized to create camera-ready figures. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>), Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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New package vprr with initial version 0.1.0
Package: vprr
Type: Package
Title: Processing and Visualization of Visual Plankton Recorder Data
Version: 0.1.0
Authors@R: c(person("Emily Chisholm", role = c("aut", "cre","cph"), email = "vprrcontact@gmail.com"), person("Kevin Sorochan", "Dev", role = "aut"), person("Catherine Johnson", "Contributer", role = "aut"))
Maintainer: Emily Chisholm <vprrcontact@gmail.com>
Description: An oceanographic data processing package for analyzing and visualizing Video Plankton Recorder data. Works in concert with Visual Plankton (MATLAB) software developed at 'WHOI'. This package was developed at 'Bedford Institute of Oceanography'. Functions are designed to process Visual Plankton output and create organized and easily portable data products.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: ggplot2, oce, dplyr, interp, magick, gsw, tidyr, stringr, metR, gridExtra, lubridate, usethis
Suggests: knitr, rmarkdown, testthat, akima, markdown
VignetteBuilder: knitr
BuildVignettes: true
NeedsCompilation: no
Packaged: 2020-10-23 15:21:01 UTC; ChisholmE
Author: Emily Chisholm [aut, cre, cph], Kevin Sorochan Dev [aut], Catherine Johnson Contributer [aut]
Repository: CRAN
Date/Publication: 2020-11-02 09:30:02 UTC

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New package tinylabels with initial version 0.1.0
Package: tinylabels
Title: Lightweight Variable Labels
Version: 0.1.0
Authors@R: person(given = "Marius", family = "Barth", role = c("aut", "cre"), email = "marius.barth.uni.koeln@gmail.com", comment = c(ORCID = "0000-0002-3421-6665"))
Description: Assign, extract, or remove variable labels from R vectors. Lightweight and free of non-base dependencies.
Imports: stats
Suggests: testthat, vctrs, dplyr, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/mariusbarth/tinylabels
BugReports: https://github.com/mariusbarth/tinylabels/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-23 13:48:47 UTC; mariusbarth
Author: Marius Barth [aut, cre] (<https://orcid.org/0000-0002-3421-6665>)
Maintainer: Marius Barth <marius.barth.uni.koeln@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-02 09:20:02 UTC

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New package mgee2 with initial version 0.1
Package: mgee2
Title: Marginal Analysis of Misclassified Longitudinal Ordinal Data
Version: 0.1
Authors@R: c( person("Yuliang", "Xu", email = "y455xu@uwaterloo.ca", role = c("aut","cre")), person("Zhijian", "Chen", email = " ", role = "aut"), person("Shuo Shuo", "Liu", email = "shuoshuo.liu@psu.edu", role = "aut"), person("Grace", "Yi", email = "yyi@uwaterloo.ca", role = "aut"))
Description: Three estimating equation methods are provided in this package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates. The naive analysis which is solely based on the observed data without adjustment may lead to bias. The corrected generalized estimating equations (GEE2) method which is unbiased requires the misclassification parameters to be known beforehand. The corrected generalized estimating equations (GEE2) with validation subsample method estimates the misclassification parameters based on a given validation set. This package is an implementation of Chen (2013) <doi:10.1002/bimj.201200195>.
Depends: R (>= 3.6.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: MASS, Matrix, ggplot2
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-10-23 02:55:16 UTC; sdzzx
Author: Yuliang Xu [aut, cre], Zhijian Chen [aut], Shuo Shuo Liu [aut], Grace Yi [aut]
Maintainer: Yuliang Xu <y455xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2020-11-02 09:10:02 UTC

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Package HandTill2001 updated to version 1.0.1 with previous version 1.0.0 dated 2019-12-19

Title: Multiple Class Area under ROC Curve
Description: An S4 implementation of Eq. (3) and Eq. (7) by David J. Hand and Robert J. Till (2001) <DOI:10.1023/A:1010920819831>.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between HandTill2001 versions 1.0.0 dated 2019-12-19 and 1.0.1 dated 2020-11-02

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New package geoFKF with initial version 0.1.0
Package: geoFKF
Title: Kriging Method for Spatial Functional Data
Version: 0.1.0
Authors@R: person(given = "Gilberto", family = "Sassi", role = c("aut", "cre"), email = "sassi.pereira.gilberto@gmail.com")
Maintainer: Gilberto Sassi <sassi.pereira.gilberto@gmail.com>
Description: A Kriging method for functional datasets with spatial dependency. This functional Kriging method avoids the need to estimate the trace-variogram, and the curve is estimated by minimizing a quadratic form. The curves in the functional dataset are smoothed using Fourier series. The functional Kriging of this package is a modification of the method proposed by Giraldo (2011) <doi:10.1007/s10651-010-0143-y>.
Imports: numDeriv, stats, Rcpp
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/gilberto-sassi/geoFKF
BugReports: https://github.com/gilberto-sassi/geoFKF/issues
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-10-23 13:15:10 UTC; gilberto
Author: Gilberto Sassi [aut, cre]
Repository: CRAN
Date/Publication: 2020-11-02 09:20:05 UTC

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New package datacleanr with initial version 1.0.0
Package: datacleanr
Title: Interactive and Reproducible Data Cleaning
Version: 1.0.0
Authors@R: c( person(given = "Alexander", family = "Hurley", role = c("cre", "aut", "cph"), email = "agl.hurley@gmail.com", comment = c(ORCID = "0000-0002-9641-2805")), person('Richard', 'Peters', role = c("ctb"), comment=c(ORCID = '0000-0002-7441-1297')), person('Christoforos', 'Pappas', role = c("ctb"), comment=c(ORCID = '0000-0001-5721-557X')) )
Description: Flexible and efficient cleaning of data with interactivity. 'datacleanr' facilitates best practices in data analyses and reproducibility with built-in features and by translating interactive/manual operations to code. The package is designed for interoperability, and so seamlessly fits into reproducible analyses pipelines in 'R'.
License: GPL-3
Suggests: testthat (>= 2.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
URL: https://github.com/the-Hull/datacleanr
BugReports: https://github.com/the-Hull/datacleanr/issues
Imports: shiny, htmltools, summarytools, dplyr, rlang, DT, magrittr, plotly, grDevices, stats, purrr, glue, formatR, RColorBrewer, clipr, rstudioapi, utils, lubridate, shinyWidgets, htmlwidgets, tools, fs, shinyFiles
NeedsCompilation: no
Packaged: 2020-10-23 13:12:08 UTC; ahurl
Author: Alexander Hurley [cre, aut, cph] (<https://orcid.org/0000-0002-9641-2805>), Richard Peters [ctb] (<https://orcid.org/0000-0002-7441-1297>), Christoforos Pappas [ctb] (<https://orcid.org/0000-0001-5721-557X>)
Maintainer: Alexander Hurley <agl.hurley@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-02 09:20:08 UTC

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New package brokenstick with initial version 1.1.0
Package: brokenstick
Type: Package
Title: Broken Stick Model for Irregular Longitudinal Data
Version: 1.1.0
Authors@R: person("Stef", "van Buuren", email = "stef.vanbuuren@tno.nl", role = c("aut","cre"))
Description: The broken stick model describes a set of individual curves by a linear mixed model using a second-order linear B-spline. The main use of the model is to align irregularly observed data to a user-specified grid of break ages. All fitting can done in the Z-score scale, so non-linearity and irregular data can be treated as separate problems. This package contains functions for fitting a broken stick model to data, for predicting broken stick curves in new data, and for plotting the broken stick estimates. For additional documentation on background, methodology and applications of the broken stick model see <https://stefvanbuuren.name/publications/2020_Brokenstick_JSS_manuscript.pdf>.
Depends: R (>= 3.5.0)
Imports: dplyr, lme4, matrixsampling, methods, rlang, splines, stats, tidyr
Suggests: AGD, ggplot2, grDevices, gridExtra, knitr, lattice, MASS, Matrix, mice, mvtnorm, plyr, svglite, testthat, rmarkdown
URL: https://github.com/growthcharts/brokenstick, https://growthcharts.org/brokenstick/
BugReports: https://github.com/growthcharts/brokenstick/issues
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-23 15:23:08 UTC; buurensv
Author: Stef van Buuren [aut, cre]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Repository: CRAN
Date/Publication: 2020-11-02 09:30:07 UTC

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Package tidybayes updated to version 2.3.1 with previous version 2.1.1 dated 2020-06-19

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@northwestern.edu>

Diff between tidybayes versions 2.1.1 dated 2020-06-19 and 2.3.1 dated 2020-11-02

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New package strm with initial version 0.1.1
Package: strm
Title: Spatio-Temporal Regression Modeling
Version: 0.1.1
Authors@R: c( person("Maria", "Kamenetsky", , "maria.kamenetsky@gmail.com", role = c("aut", "cre")), person("Guangqing", "Chi", ,"guangqingchi@gmail.com", role = "aut"), person("Jun", "Zhu", , "jun.zhu.e@gmail.com", role = "aut"))
Description: Implements a spatio-temporal regression model based on Chi, G. and Zhu, J. (2019) Spatial Regression Models for the Social Sciences <isbn:9781544302072>. The approach here fits a spatial error model while incorporating a temporally lagged response variable and temporally lagged explanatory variables. This package builds on the errorsarlm() function from the spatialreg package.
Depends: R (>= 3.5), spatialreg (>= 1.1-5)
Imports: rlang (>= 0.4.6), dplyr (>= 1.0.0), tidyr (>= 1.0.0), purrr (>= 0.3.4), magrittr (>= 1.5), rgdal (>= 1.5.10), testthat (>= 2.3.2), rmarkdown (>= 2.3), stats, grDevices, methods, graphics, utils, knitr
Suggests: splm (>= 1.4.11), spdep (>= 1.1-3), rgeos (>= 0.5-3), sf (>= 0.9-4), Ecdat (>= 0.3-7), tidycensus (>= 0.9.9), ggplot2 (>= 3.3.2), patchwork (>= 1.0.1), broom (>= 0.7.0)
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL (>= 2)
Maintainer: Maria Kamenetsky <maria.kamenetsky@gmail.com>
BugReports: https://github.com/mkamenet3/strm/issues
LazyData: true
RoxygenNote: 7.1.0
SystemRequirements: C++11, GDAL (>= 1.11.4), GEOS (>= 3.4.0), PROJ (>= 6.3.1)
NeedsCompilation: yes
Packaged: 2020-10-22 21:44:53 UTC; Maria
Author: Maria Kamenetsky [aut, cre], Guangqing Chi [aut], Jun Zhu [aut]
Repository: CRAN
Date/Publication: 2020-11-02 09:00:02 UTC

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New package prWarp with initial version 1.0.0
Package: prWarp
Title: Warping Landmark Configurations
Version: 1.0.0
Authors@R: c( person("Anne", "Le Maitre", email = "anne.le.maitre@univie.ac.at", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2690-7367")), person("Silvester", "Bartsch", email = "silvester.bartsch@univie.ac.at", role = "aut"), person("Nicole", "Grunstra", email = "nicolegrunstra@googlemail.com", role = "aut"), person("Philipp", "Mitteroecker", email = "philipp.mitteroecker@univie.ac.at", role = "aut"))
Date: 2020-10-07
Description: Compute bending energies, principal warps, partial warp scores, and the non-affine component of shape variation for 2D landmark configurations, as well as Mardia-Dryden distributions and self-similar distributions of landmarks, as described in Mitteroecker et al. (2020) <doi:10.1093/sysbio/syaa007>. Working examples to decompose shape variation into small-scale and large-scale components, and to decompose the total shape variation into outline and residual shape components are provided. Two landmark datasets are provided, that quantify skull morphology in humans and papionin primates, respectively from Mitteroecker et al. (2020) <doi:10.5061/dryad.j6q573n8s> and Grunstra et al. (2020) <doi:10.5061/dryad.zkh189373>.
Depends: R (>= 3.6.0)
Imports: Morpho
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, geomorph
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-22 15:46:34 UTC; lemaitre
Author: Anne Le Maitre [aut, cre] (<https://orcid.org/0000-0003-2690-7367>), Silvester Bartsch [aut], Nicole Grunstra [aut], Philipp Mitteroecker [aut]
Maintainer: Anne Le Maitre <anne.le.maitre@univie.ac.at>
Repository: CRAN
Date/Publication: 2020-11-02 08:40:02 UTC

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Package JavaGD updated to version 0.6-4 with previous version 0.6-2 dated 2020-04-30

Title: Java Graphics Device
Description: Graphics device routing all graphics commands to a Java program. The actual functionality of the JavaGD depends on the Java-side implementation. Simple AWT and Swing implementations are included.
Author: Simon Urbanek <Simon.Urbanek@R-project.org>
Maintainer: Simon Urbanek <Simon.Urbanek@R-project.org>

Diff between JavaGD versions 0.6-2 dated 2020-04-30 and 0.6-4 dated 2020-11-02

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Package rmangal (with last version 2.0.2) was removed from CRAN

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

2020-10-13 2.0.2

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Package simPH (with last version 1.3.12) was removed from CRAN

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

2020-07-20 1.3.12
2020-03-24 1.3.11
2017-05-15 1.3.10
2016-05-19 1.3.9
2016-03-27 1.3.7
2015-12-15 1.3.5
2015-09-21 1.3.4
2015-05-21 1.3.2
2015-05-04 1.3.1
2015-02-11 1.3
2015-01-31 1.2.6.1
2014-12-07 1.2.4
2014-10-04 1.2.3
2014-07-24 1.2.2
2014-05-16 1.2.1
2014-04-20 1.2
2014-03-01 1.1
2014-02-02 1.0
2013-11-15 0.8.5
2013-11-02 0.8.4
2013-10-03 0.8.3
2013-09-04 0.8.2
2013-08-29 0.8.1
2013-07-28 0.7.2

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Package RcppSimdJson updated to version 0.1.3 with previous version 0.1.2 dated 2020-10-07

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <arXiv:1902.08318> paper for more details about 'simdjson'. This package is at present still a fairly thin and not fully complete wrapper that does not aim to replace the existing and excellent 'JSON' packages for R.
Author: Dirk Eddelbuettel, Brendan Knapp
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.1.2 dated 2020-10-07 and 0.1.3 dated 2020-11-02

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Package mob updated to version 0.3 with previous version 0.2.1 dated 2020-07-06

Title: Monotonic Optimal Binning
Description: Generate the monotonic binning and perform the woe (weight of evidence) transformation for the logistic regression used in the consumer credit scorecard development. The woe transformation is a piecewise transformation that is linear to the log odds. For a numeric variable, all of its monotonic functional transformations will converge to the same woe transformation.
Author: WenSui Liu
Maintainer: WenSui Liu <liuwensui@gmail.com>

Diff between mob versions 0.2.1 dated 2020-07-06 and 0.3 dated 2020-11-02

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Package LSX updated to version 0.9.4 with previous version 0.9.2 dated 2020-09-22

Title: Model for Semisupervised Text Analysis Based on Word Embeddings
Description: A word embeddings-based semisupervised models for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between LSX versions 0.9.2 dated 2020-09-22 and 0.9.4 dated 2020-11-02

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Package distr6 updated to version 1.4.6 with previous version 1.4.5 dated 2020-10-30

Title: The Complete R6 Probability Distributions Interface
Description: An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Peter Ruckdeschel [ctb] (Author of distr), Matthias Kohl [ctb] (Author of distr), Shen Chen [ctb], Jordan Deenichin [ctb], Chengyang Gao [ctb], Chloe Zhaoyuan Gu [ctb], Yunjie He [ctb], Xiaowen Huang [ctb], Shuhan Liu [ctb], Runlong Yu [ctb], Chijing Zeng [ctb], Qian Zhou [ctb]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

Diff between distr6 versions 1.4.5 dated 2020-10-30 and 1.4.6 dated 2020-11-02

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