Tue, 30 Mar 2021

Package robcp updated to version 0.3.0 with previous version 0.2.5 dated 2020-01-24

Title: Robust Change-Point Tests
Description: Provides robust methods to detect change-points in uni- or multivariate time series. They can cope with corrupted data and heavy tails. One can detect changes in location, scale and dependence structure of a possibly multivariate time series. Procedures are based on Huberized versions of CUSUM tests proposed in Duerre and Fried (2019) <arXiv:1905.06201>.
Author: Sheila Goerz [aut, cre], Alexander Duerre [aut]
Maintainer: Sheila Goerz <sheila.goerz@tu-dortmund.de>

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Package CARBayesST updated to version 3.2 with previous version 3.1.1 dated 2021-02-04

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, including models similar to Bernardinelli et al. (1995) <doi:10.1002/sim.4780142112> and Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001>. Full details are given in the vignette accompanying this package. The creation and development of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grants EP/J017442/1 and EP/T004878/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth, Gary Napier and William Pettersson
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

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Package swimplot updated to version 1.2.0 with previous version 1.1 dated 2021-01-25

Title: Tools for Creating Swimmers Plots using 'ggplot2'
Description: Used for creating swimmers plots with functions to customize the bars, add points, add lines, add text, and add arrows.
Author: Jessica Weiss <jessica.weiss@uhnresearch.ca>, Wei Xu<Wei.Xu@uhnresearch.ca>
Maintainer: Jessica Weiss <jessica.weiss@uhnresearch.ca>

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Package genpwr updated to version 1.0.4 with previous version 1.0.3 dated 2021-03-22

Title: Power Calculations Under Genetic Model Misspecification
Description: Power and sample size calculations for genetic association studies allowing for misspecification of the model of genetic susceptibility. "Hum Hered. 2019;84(6):256-271.<doi:10.1159/000508558>. Epub 2020 Jul 28." Power and/or sample size can be calculated for logistic (case/control study design) and linear (continuous phenotype) regression models, using additive, dominant, recessive or degree of freedom coding of the genetic covariate while assuming a true dominant, recessive or additive genetic effect. In addition, power and sample size calculations can be performed for gene by environment interactions. These methods are extensions of Gauderman (2002) <doi:10.1093/aje/155.5.478> and Gauderman (2002) <doi:10.1002/sim.973> and are described in: Moore CM, Jacobson S, Fingerlin TE. Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification. American Society of Human Genetics. October 2018, San Diego.
Author: Camille Moore [aut, cre], Sean Jacobson [aut]
Maintainer: Camille Moore <moorec@njhealth.org>

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Package mixKernel updated to version 0.5 with previous version 0.4 dated 2020-02-26

Title: Omics Data Integration Using Kernel Methods
Description: Kernel-based methods are powerful methods for integrating heterogeneous types of data. mixKernel aims at providing methods to combine kernel for unsupervised exploratory analysis. Different solutions are provided to compute a meta-kernel, in a consensus way or in a way that best preserves the original topology of the data. mixKernel also integrates kernel PCA to visualize similarities between samples in a non linear space and from the multiple source point of view. Functions to assess and display important variables are also provided in the package. Jerome Mariette and Nathalie Villa-Vialaneix (2018) <doi:10.1093/bioinformatics/btx682>.
Author: Jerome Mariette [aut, cre], Celine Brouard [aut], Remi Flamary [aut], Nathalie Vialaneix [aut]
Maintainer: Jerome Mariette <jerome.mariette@inrae.fr>

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Package spotGUI updated to version 0.2.3 with previous version 0.2.1 dated 2018-10-10

Title: Graphical User Interface for the Package 'SPOT'
Description: A graphical user interface for the Sequential Parameter Optimization Toolbox (package 'SPOT'). It includes a quick, graphical setup for spot, interactive 3D plots, export possibilities and more.
Author: Frederik Rehbach [aut, cre], Martin Zaefferer [aut], Thomas Bartz-Beielstein [ctb], Andreas Fischbach [ctb], Lorenzo Gentile [ctb]
Maintainer: Frederik Rehbach <frederik.rehbach@th-koeln.de>

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Package i2extras updated to version 0.1.0 with previous version 0.0.2 dated 2020-10-30

Title: Functions to Work with 'incidence2' Objects
Description: Provides functions to work with 'incidence2' objects, including a simplified interface for trend fitting and peak estimation. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org/).
Author: Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>), Thibaut Jombart [aut]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package styler updated to version 1.4.1 with previous version 1.4.0 dated 2021-03-22

Title: Non-Invasive Pretty Printing of R Code
Description: Pretty-prints R code without changing the user's formatting intent.
Author: Kirill Müller [aut], Lorenz Walthert [cre, aut]
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

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Package ncvreg updated to version 3.13.0 with previous version 3.12.0 dated 2020-07-09

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Author: Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>)
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package grpreg updated to version 3.3.1 with previous version 3.3.0 dated 2020-06-10

Title: Regularization Paths for Regression Models with Grouped Covariates
Description: Efficient algorithms for fitting the regularization path of linear regression, GLM, and Cox regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bi-level selection methods such as the group exponential lasso, the composite MCP, and the group bridge. For more information, see Breheny and Huang (2009) <doi:10.4310/sii.2009.v2.n3.a10>, Huang, Breheny, and Ma (2012) <doi:10.1214/12-sts392>, Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>, and Breheny (2015) <doi:10.1111/biom.12300>, or visit the package homepage <https://pbreheny.github.io/grpreg/>.
Author: Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>), Yaohui Zeng [ctb]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

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Package validate updated to version 1.0.2 with previous version 1.0.1 dated 2020-12-08

Title: Data Validation Infrastructure
Description: Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, Chapter 6 and the JSS paper (2021) <doi:10.18637/jss.v097.i10>.
Author: Mark van der Loo [cre, aut] (<https://orcid.org/0000-0002-9807-4686>), Edwin de Jonge [aut] (<https://orcid.org/0000-0002-6580-4718>), Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package tinytex updated to version 0.31 with previous version 0.30 dated 2021-03-04

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), RStudio, PBC [cph], Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Devon Ryan [ctb] (<https://orcid.org/0000-0002-8549-0971>), Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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New package MPAgenomics with initial version 1.2.3
Package: MPAgenomics
Type: Package
Title: Multi-Patient Analysis of Genomic Markers
Version: 1.2.3
Date: 2021-03-30
Authors@R: c(person(given = "Quentin", family = "Grimonprez", role = "aut"), person(given = "Sjoerd", family = "Vosse", role = "ctb"), person(given = "Mark", family = "van de Wiel", role = "ctb"), person(given = "Pierre", family = "Neuvial", role = "ctb"), person(given = "Henrik", family = "Bengtsson", role = "ctb"), person(given = "Ilari", family = "Scheinin", role = "ctb"), person(given = "Guillemette", family = "Marot", role = "ctb"), person(given = "Samuel", family = "Blanck", role = c("aut", "cre"), email = "samuel.blanck@univ-lille.fr"), person(given = "Inria", role = "cph"))
Maintainer: Samuel Blanck <samuel.blanck@univ-lille.fr>
Description: Preprocessing and analysis of genomic data. 'MPAgenomics' provides wrappers from commonly used packages to streamline their repeated manipulation, offering an easy-to-use pipeline. The segmentation of successive multiple profiles is performed with an automatic choice of parameters involved in the wrapped packages. Considering multiple profiles in the same time, 'MPAgenomics' wraps efficient penalized regression methods to select relevant markers associated with a given outcome. Grimonprez et al. (2014) <doi:10.1186/s12859-014-0394-y>.
License: GPL (>= 2)
Encoding: UTF-8
biocViews:
Imports: R.utils,changepoint(>= 1.1),glmnet,HDPenReg(>= 0.90),spikeslab
Suggests: CGHcall,aroma.affymetrix,aroma.cn,aroma.core,aroma.light,snowfall,R.devices,R.filesets,R.methodsS3,R.oo,matrixStats
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2021-03-30 12:38:24 UTC; sblanck
Author: Quentin Grimonprez [aut], Sjoerd Vosse [ctb], Mark van de Wiel [ctb], Pierre Neuvial [ctb], Henrik Bengtsson [ctb], Ilari Scheinin [ctb], Guillemette Marot [ctb], Samuel Blanck [aut, cre], Inria [cph]
Repository: CRAN
Date/Publication: 2021-03-30 15:50:07 UTC

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Package incidence2 updated to version 1.0.0 with previous version 0.2.2 dated 2020-11-12

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>), Thibaut Jombart [aut]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package GenomeAdmixR updated to version 2.1.1 with previous version 2.0.2 dated 2021-02-26

Title: Simulate Admixture of Genomes
Description: Individual-based simulations forward in time, simulating how patterns in ancestry along the genome change after admixture. Full description can be found in Janzen (2020) <doi:10.1101/2020.10.19.343491>.
Author: Thijs Janzen [aut, cre], Fernando Diaz G. [ctb], Richèl J.C. Bilderbeek [ctb]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package emuR updated to version 2.2.0 with previous version 2.1.1 dated 2020-09-30

Title: Main Package of the EMU Speech Database Management System
Description: An R package that provides the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities.
Author: Raphael Winkelmann [aut, cre], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>

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Package WDI updated to version 2.7.3 with previous version 2.7.2 dated 2021-01-22

Title: World Development Indicators and Other World Bank Data
Description: Search and download data from over 40 databases hosted by the World Bank, including the World Development Indicators ('WDI'), International Debt Statistics, Doing Business, Human Capital Index, and Sub-national Poverty indicators.
Author: Vincent Arel-Bundock [aut, cre] (<https://orcid.org/0000-0003-2042-7063>), Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package sparklyr updated to version 1.6.2 with previous version 1.6.1 dated 2021-03-23

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Yitao Li <yitao@rstudio.com>

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Package tramME updated to version 0.1.0 with previous version 0.0.4 dated 2021-02-04

Title: Transformation Models with Mixed Effects
Description: Likelihood-based estimation of mixed-effects transformation models using the Template Model Builder (TMB, Kristensen et al., 2016, <doi:10.18637/jss.v070.i05>). The technical details of transformation models are given in Hothorn et al. (2018, <doi:10.1111/sjos.12291>). Likelihood contributions of exact, randomly censored (left, right, interval) and truncated observations are supported. The random effects are assumed to be normally distributed on the scale of the transformation function, the marginal likelihood is evaluated using the Laplace approximation, and the gradients are calculated with automatic differentiation (AD).
Author: Balint Tamasi [aut, cre] (<https://orcid.org/0000-0002-2629-7362>), Torsten Hothorn [ctb] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Balint Tamasi <balint.tamasi@uzh.ch>

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Package prophet updated to version 1.0 with previous version 0.6.1 dated 2020-04-29

Title: Automatic Forecasting Procedure
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
Author: Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer: Sean Taylor <sjtz@pm.me>

Diff between prophet versions 0.6.1 dated 2020-04-29 and 1.0 dated 2021-03-30

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Package tipitaka updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-24

Title: Data and Tools for Analyzing the Pali Canon
Description: Provides access to the complete Pali Canon, or Tipitaka, the canonical scripture for Theravadin Buddhists worldwide. Based on the Chattha Sangayana Tipitaka version 4 (Vipassana Research Institute, 1990).
Author: Dan Zigmond [aut, cre]
Maintainer: Dan Zigmond <djz@shmonk.com>

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New package TDA with initial version 1.7.7
Package: TDA
Type: Package
Title: Statistical Tools for Topological Data Analysis
Version: 1.7.7
Date: 2021-03-27
Author: Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria, David L. Millman, Vincent Rouvreau.
Maintainer: Jisu Kim <jisu.kim@inria.fr>
Copyright: See inst/COPYRIGHTS
Description: Tools for the statistical analysis of persistent homology and for density clustering. For that, this package provides an R interface for the efficient algorithms of the C++ libraries 'GUDHI' <http://gudhi.gforge.inria.fr/>, 'Dionysus' <https://www.mrzv.org/software/dionysus/>, and 'PHAT' <https://bitbucket.org/phat-code/phat/>. This package also implements the methods in Fasy et al. (2014) <doi:10.1214/14-AOS1252> and Chazal et al. (2014) <doi:10.1145/2582112.2582128> for analyzing the statistical significance of persistent homology features.
Depends: R (>= 3.1.0)
Repository: CRAN
License: GPL-3
Imports: FNN, Rcpp (>= 0.11.0), igraph, parallel, scales
Suggests: testthat, lintr
Encoding: UTF-8
LinkingTo: BH (>= 1.69.0-1), Rcpp, RcppEigen
SystemRequirements: C++11, gmp
NeedsCompilation: yes
Packaged: 2021-03-27 11:54:00 UTC; rupikot
Date/Publication: 2021-03-30 11:50:05 UTC

More information about TDA at CRAN
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Package packrat updated to version 0.6.0 with previous version 0.5.0 dated 2018-11-14

Title: A Dependency Management System for Projects and their R Package Dependencies
Description: Manage the R packages your project depends on in an isolated, portable, and reproducible way.
Author: Kevin Ushey, Jonathan McPherson, Joe Cheng, Aron Atkins, JJ Allaire
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package NHSDataDictionaRy updated to version 1.2.2 with previous version 1.2.1 dated 2021-02-17

Title: NHS Data Dictionary Toolset for NHS Lookups
Description: Providing a common set of simplified web scraping tools for working with the NHS Data Dictionary <https://datadictionary.nhs.uk/data_elements_overview.html>. The intended usage is to access the data elements section of the NHS Data Dictionary to access key lookups. The benefits of having it in this package are that the lookups are the live lookups on the website and will not need to be maintained. This package was commissioned by the NHS-R community to provide this consistency of lookups. The OpenSafely lookups have now been added <https://codelists.opensafely.org/>.
Author: Gary Hutson [aut, cre], Calum Polwart [aut]
Maintainer: Gary Hutson <g.hutson@nhs.net>

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Package glmmSeq updated to version 0.1.0 with previous version 0.0.1 dated 2021-03-11

Title: General Linear Mixed Models for Gene-Level Differential Expression
Description: Using random and fixed effects to model expression at an individual gene level can highlight differences between sample groups over time. The most widely used differential gene expression tools are unable to fit linear mixed effect models, therefore do not capture interaction terms. This package uses negative binomial mixed effects models to fit gene expression with matched samples. This is particularly useful for investigating changes in gene expression between groups of individuals over time, as seen in: Rivellese F., Surace A.E.A., Goldmann K., Sciacca E., Giorli G., Cubuk C., John C.R., Nerviani A., Fossati-Jimack L., Thorborn G., Humby F., Bombardieri M., Lewis M.J., Pitzalis C. (2021) "Molecular Pathology Profiling of Synovial Tissue Predicts Response to Biologic Treatment in Rheumatoid Arthritis" [Manuscript in preparation].
Author: Myles Lewis [aut] (<https://orcid.org/0000-0001-9365-5345>), Katriona Goldmann [aut, cre] (<https://orcid.org/0000-0002-9073-6323>), Elisabetta Sciacca [aut] (<https://orcid.org/0000-0001-7525-1558>), Cankut Cubuk [ctb] (<https://orcid.org/0000-0003-4646-0849>), Anna Surace [ctb] (<https://orcid.org/0000-0001-9589-3005>)
Maintainer: Katriona Goldmann <k.goldmann@qmul.ac.uk>

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New package geometr with initial version 0.2.8
Package: geometr
Title: Generate and Modify Interoperable Geometric Shapes
Version: 0.2.8
Authors@R: c( person("Steffen", "Ehrmann", role = c("aut", "cre"), email = "steffen.science@funroll-loops.de", comment = c(ORCID = "0000-0002-2958-0796")), person("Dan", "Sunday", role = c("cph"), comment = "fast point-in-polygon algorithm.") )
Description: Provides tools that generate and process fully accessible and tidy geometric shapes. The package improves interoperability of spatial and other geometric classes by providing getters and setters that produce identical output from various classes.
URL: https://ehrmanns.github.io/geometr/
BugReports: https://github.com/EhrmannS/geometr/issues
Depends: R (>= 2.10)
Language: en-gb
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: checkmate, crayon, deldir, dplyr, grDevices, grid, methods, raster, readr, rgdal, rlang, sf, sp, spatstat, tibble, Rcpp
Suggests: testthat, rmarkdown, bookdown, magrittr, covr, knitr
LinkingTo: Rcpp
RoxygenNote: 7.1.1
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-03-29 17:44:16 UTC; se87kuhe
Author: Steffen Ehrmann [aut, cre] (<https://orcid.org/0000-0002-2958-0796>), Dan Sunday [cph] (fast point-in-polygon algorithm.)
Maintainer: Steffen Ehrmann <steffen.science@funroll-loops.de>
Repository: CRAN
Date/Publication: 2021-03-30 11:10:06 UTC

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New package foster with initial version 0.1.1
Package: foster
Type: Package
Title: Forest Structure Extrapolation with R
Version: 0.1.1
Authors@R: c(person(given = "Martin", family = "Queinnec", role = c("cre", "aut"), email = "queinnec@mail.ubc.ca"), person(given = "Piotr", family = "Tompalski", role = "aut"), person(given = "Douglas", family = "Bolton", role = "aut"), person(given = "Nicholas", family = "Coops", role = "aut"))
Description: Set of tools to streamline the modeling of the relationship between satellite imagery time series or any other environmental information, such as terrain elevation, with forest structural attributes derived from 3D point cloud data and their subsequent imputation over the broader landscape.
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.1
Imports: raster, reshape2, dplyr, stats, RStoolbox, yaImpute, sp, tools, spatstat.geom, spatstat (>= 2.0-0), randomForest, rgdal, caret, trend, data.table
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Depends: R (>= 3.5.0)
BugReports: https://github.com/mqueinnec/foster/issues
NeedsCompilation: no
Packaged: 2021-03-29 22:47:17 UTC; queinnec.stu
Author: Martin Queinnec [cre, aut], Piotr Tompalski [aut], Douglas Bolton [aut], Nicholas Coops [aut]
Maintainer: Martin Queinnec <queinnec@mail.ubc.ca>
Repository: CRAN
Date/Publication: 2021-03-30 11:40:05 UTC

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New package Biolinv with initial version 0.1-3
Package: Biolinv
Type: Package
Title: Modelling and Forecasting Biological Invasions
Version: 0.1-3
Author: Luca Butikofer [aut, cre], Beatrix Jones [aut]
Maintainer: Luca Butikofer <lucabutikofer@gmail.com>
Description: Analysing and forecasting biological invasions time series with a stochastic approach that accounts for human-aided dispersal, habitat suitability and provides estimates confidence level.
URL: https://doi.org/10.1371/journal.pone.0205591
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.2.4)
Imports: raster (>= 2.5-2), fields (>= 8.3-6), spatstat.geom, spatstat.core, spatstat (>= 2.0-0), sp (>= 1.2-4), grDevices (>= 3.3.2), stats (>= 3.3.2), classInt (>= 0.1-23)
RoxygenNote: 6.1.1
Date: 2021-03-29
NeedsCompilation: no
Packaged: 2021-03-29 18:54:29 UTC; lucabutikofer
Repository: CRAN
Date/Publication: 2021-03-30 11:40:09 UTC

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Package stabm updated to version 1.2.0 with previous version 1.1.4 dated 2020-12-08

Title: Stability Measures for Feature Selection
Description: An implementation of many measures for the assessment of the stability of feature selection. Both simple measures and measures which take into account the similarities between features are available, see Bommert (2020) <doi:10.17877/DE290R-21906>.
Author: Andrea Bommert [aut, cre] (<https://orcid.org/0000-0002-1005-9351>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Andrea Bommert <bommert@statistik.tu-dortmund.de>

Diff between stabm versions 1.1.4 dated 2020-12-08 and 1.2.0 dated 2021-03-30

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Package renv updated to version 0.13.2 with previous version 0.13.1 dated 2021-03-18

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>

Diff between renv versions 0.13.1 dated 2021-03-18 and 0.13.2 dated 2021-03-30

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Package rapsimng updated to version 0.2.0 with previous version 0.1.0 dated 2020-10-13

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

Diff between rapsimng versions 0.1.0 dated 2020-10-13 and 0.2.0 dated 2021-03-30

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New package msaeRB with initial version 0.1.4
Package: msaeRB
Type: Package
Title: Ratio Benchmarking for Multivariate Small Area Estimation
Version: 0.1.4
Author: Zenda Oka Briantiko [aut, cre], Azka Ubaidillah [aut]
Maintainer: Zenda Oka Briantiko <221710087@stis.ac.id>
Description: Implements multivariate ratio benchmarking small area estimation. This package provides ratio benchmarking estimation for univariate and multivariate small area estimation and its MSE. In fact, MSE estimators for ratio benchmark are not readily available, so resampling method that called parametric bootstrap is applied. The ratio benchmark model and parametric bootstrap in this package are based on the model proposed in small area estimation. J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/zendaokab/msaeRB
BugReports: https://github.com/zendaokab/msaeRB/issues
Suggests: covr, knitr, rmarkdown
VignetteBuilder: knitr
Imports: magic, abind, Matrix, MASS, stats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-03-29 10:39:16 UTC; ASUS
Repository: CRAN
Date/Publication: 2021-03-30 09:50:11 UTC

More information about msaeRB at CRAN
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New package klassR with initial version 0.1.5
Package: klassR
Type: Package
Title: Classifications and Codelists for Statistics Norway
Version: 0.1.5
Author: Susie Jentoft, Lisa Li, Diana-Cristina Iancu
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>
Description: Functions to search, retrieve and apply classifications and codelists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Imports: tm, httr, jsonlite
BugReports: https://github.com/statisticsnorway/klassR/issues
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-03-30 06:50:58 UTC; coo
Repository: CRAN
Date/Publication: 2021-03-30 09:50:14 UTC

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Package geodiv updated to version 1.0.0 with previous version 0.2.0 dated 2020-09-09

Title: Methods for Calculating Gradient Surface Metrics
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features. See github.com/bioXgeo/geodiv to report bugs or to download the working version of the package.
Author: Annie C. Smith, Phoebe Zarnetske, Kyla Dahlin, Adam Wilson, Andrew Latimer
Maintainer: Annie C. Smith <annie.smith@dnr.wa.gov>

Diff between geodiv versions 0.2.0 dated 2020-09-09 and 1.0.0 dated 2021-03-30

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Package cobalt updated to version 4.3.1 with previous version 4.3.0 dated 2021-02-20

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', 'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
Author: Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between cobalt versions 4.3.0 dated 2021-02-20 and 4.3.1 dated 2021-03-30

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New package attrib with initial version 2021.1.2
Package: attrib
Title: Attributable Burden of Disease
Version: 2021.1.2
Authors@R: c( person(c("Richard","Aubrey"), "White", email = "hello@rwhite.no", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6747-1726") ), person("Aurora", "Hofman", role = "aut", comment = c(ORCID = "0000-0001-6543-5134") ), person(given = "Folkehelseinstituttet", role = c("cph") ) )
Description: Provides functions for estimating the attributable burden of disease due to risk factors. The posterior simulation is performed using arm::sim as described in Gelman, Hill (2012) <doi:10.1017/CBO9780511790942> and the attributable burden method is based on Nielsen, Krause, Molbak <doi:10.1111/irv.12564>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: data.table, magrittr, glue, pbs, dlnm, lubridate, mvmeta, tsModel, stats, lme4, arm, tibble, stringr, ggplot2, utils, progress
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-03-29 04:00:29 UTC; rstudio
Author: Richard Aubrey White [aut, cre] (<https://orcid.org/0000-0002-6747-1726>), Aurora Hofman [aut] (<https://orcid.org/0000-0001-6543-5134>), Folkehelseinstituttet [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN
Date/Publication: 2021-03-30 09:10:02 UTC

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New package TNRS with initial version 0.1.0
Package: TNRS
Title: Taxonomic Name Resolution Service
Version: 0.1.0
Authors@R: c( person("Brian", "Maitner", email = "bmaitner@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2118-9880")), person("Brad", "Boyle", email = "bboyle@email.arizona.edu", role = c("aut")) )
Description: Provides access to the Taxonomic Name Resolution Service <https://github.com/ojalaquellueva/tnrsapi> through R. The user supplies plant taxonomic names and the package returns resolved taxonomic names along with information on decisions. Optionally, the package can also be used to parse taxonomic names.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: jsonlite, RCurl, rjson
Suggests: knitr, rmarkdown, testthat, devtools
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-03-28 15:31:57 UTC; Brian
Author: Brian Maitner [aut, cre] (<https://orcid.org/0000-0002-2118-9880>), Brad Boyle [aut]
Maintainer: Brian Maitner <bmaitner@gmail.com>
Repository: CRAN
Date/Publication: 2021-03-30 08:30:02 UTC

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New package SPORTSCausal with initial version 1.0
Package: SPORTSCausal
Type: Package
Title: Spillover Time Series Causal Inference
Version: 1.0
Imports: CausalImpact, keras, stats, graphics, grDevices
Date: 2021-03-13
Author: Zihao Zheng and Feiyu Yue
Maintainer: Feiyu Yue <yuefyopals@gmail.com>
Description: A time series causal inference model for Randomized Controlled Trial (RCT) under spillover effect. 'SPORTSCausal' (Spillover Time Series Causal Inference) separates treatment effect and spillover effect from given responses of experiment group and control group by predicting the response without treatment. It reports both effects by fitting the Bayesian Structural Time Series (BSTS) model based on 'CausalImpact', as described in Brodersen et al. (2015) <doi:10.1214/14-AOAS788>.
License: GPL-2
NeedsCompilation: no
Packaged: 2021-03-28 08:33:14 UTC; zhengzihao
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-03-30 08:10:02 UTC

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Package sharpData updated to version 1.4 with previous version 1.3 dated 2021-01-15

Title: Data Sharpening
Description: Functions and data sets inspired by data sharpening - data perturbation to achieve improved performance in nonparametric estimation, as described in Choi, E., Hall, P. and Rousson, V. (2000). Capabilities for enhanced local linear regression function and derivative estimation are included, as well as an asymptotically correct iterated data sharpening estimator for any degree of local polynomial regression estimation. A cross-validation-based bandwidth selector is included which, in concert with the iterated sharpener, will often provide superior performance, according to a median integrated squared error criterion. Sample data sets are provided to illustrate function usage.
Author: W. John Braun <john.braun@ubc.ca>
Maintainer: W.J. Braun <john.braun@ubc.ca>

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Package msaeDB updated to version 0.2.0 with previous version 0.1.3 dated 2021-03-03

Title: Difference Benchmarking for Multivariate Small Area Estimation
Description: Implements Benchmarking Method for Multivariate Small Area Estimation under Fay Herriot Model. Multivariate Small Area Estimation (MSAE) is a development of Univariate Small Area Estimation that considering the correlation among response variables and borrowing the strength from related areas and auxiliary variables to increase the effectiveness of sample size, the multivariate model in this package is based on multivariate model 1 proposed by Roberto Benavent and Domingo Morales (2016) <doi:10.1016/j.csda.2015.07.013>. Benchmarking in Small Area Estimation is a modification of Small Area Estimation model to guarantee that the aggregate weighted mean of the county predictors equals the corresponding weighted mean of survey estimates. Difference Benchmarking is the simplest benchmarking method but widely used by multiplying empirical best linear unbiased prediction (EBLUP) estimator by the common adjustment factors (J.N.K Rao and Isabel Molina, 2015).
Author: Zaza Yuda Perwira, Azka Ubaidillah
Maintainer: Zaza Yuda Perwira <221710086@stis.ac.id>

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Package MPV updated to version 1.57 with previous version 1.56 dated 2021-01-09

Title: Data Sets from Montgomery, Peck and Vining
Description: Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis (3rd ed), by Montgomery, Peck and Vining. Some additional data sets and functions are also included.
Author: W.J. Braun and S. MacQueen
Maintainer: W.J. Braun <john.braun@ubc.ca>

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Package AzureAuth updated to version 1.3.1 with previous version 1.3.0 dated 2021-01-11

Title: Authentication Services for Azure Active Directory
Description: Provides Azure Active Directory (AAD) authentication functionality for R users of Microsoft's 'Azure' cloud <https://azure.microsoft.com/>. Use this package to obtain 'OAuth' 2.0 tokens for services including Azure Resource Manager, Azure Storage and others. It supports both AAD v1.0 and v2.0, as well as multiple authentication methods, including device code and resource owner grant. Tokens are cached in a user-specific directory obtained using the 'rappdirs' package. The interface is based on the 'OAuth' framework in the 'httr' package, but customised and streamlined for Azure. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], httr development team [ctb] (Original OAuth listener code), Scott Holden [ctb] (Advice on AAD authentication), Chris Stone [ctb] (Advice on AAD authentication), Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package twang updated to version 2.0 with previous version 1.6 dated 2020-02-27

Title: Toolkit for Weighting and Analysis of Nonequivalent Groups
Description: Provides functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights.
Author: Matthew Cefalu <Matthew_Cefalu@rand.org>, Greg Ridgeway, Dan McCaffrey, Andrew Morral, Beth Ann Griffin, and Lane Burgette
Maintainer: Matthew Cefalu <Matthew_Cefalu@rand.org>

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Package RRPP updated to version 1.0.0 with previous version 0.6.2 dated 2021-01-11

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This packaged is described by Collyer & Adams (2018) <doi:10.1111/2041-210X.13029>. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer [aut, cre] (<https://orcid.org/0000-0003-0238-2201>), Dean Adams [aut] (<https://orcid.org/0000-0001-9172-7894>)
Maintainer: Michael Collyer <mlcollyer@gmail.com>

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Package rmcorr updated to version 0.4.2 with previous version 0.4.1 dated 2020-08-26

Title: Repeated Measures Correlation
Description: Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.
Author: Jonathan Z. Bakdash, Laura R. Marusich
Maintainer: Laura R. Marusich <laura.m.cooper20.civ@mail.mil>

Diff between rmcorr versions 0.4.1 dated 2020-08-26 and 0.4.2 dated 2021-03-30

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Package missRanger updated to version 2.1.3 with previous version 2.1.1 dated 2021-03-20

Title: Fast Imputation of Missing Values
Description: Alternative implementation of the beautiful 'MissForest' algorithm used to impute mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and Buehlmann, P. (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the lightning fast random jungle package 'ranger'. Between the iterative model fitting, we offer the option of using predictive mean matching. This firstly avoids imputation with values not already present in the original data (like a value 0.3334 in 0-1 coded variable). Secondly, predictive mean matching tries to raise the variance in the resulting conditional distributions to a realistic level. This would allow e.g. to do multiple imputation when repeating the call to missRanger(). A formula interface allows to control which variables should be imputed by which.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between missRanger versions 2.1.1 dated 2021-03-20 and 2.1.3 dated 2021-03-30

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New package doconv with initial version 0.1.0
Package: doconv
Type: Package
Title: Document Conversion to 'PDF' or 'PNG'
Version: 0.1.0
Authors@R: c( person("David", "Gohel", role = c("aut", "cre"), email = "david.gohel@ardata.fr"), person(given = "ArData", role = "cph") )
Description: Functions to convert 'Microsoft Word' or 'Microsoft PowerPoint' documents to 'PDF' format and also for converting them into a thumbnail. In order to work, 'LibreOffice' must be installed on the machine and possibly 'python' and 'Microsoft Word'. If the latter is available, it can be used to produce PDF documents identical to the originals, otherwise, 'LibreOffice' is used.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: magick, pdftools, locatexec, rappdirs
BugReports: https://github.com/ardata-fr/doconv/issues
NeedsCompilation: no
Packaged: 2021-03-27 11:17:22 UTC; davidgohel
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2021-03-30 06:50:09 UTC

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Package MDMAPR updated to version 0.2.1 with previous version 0.2.0 dated 2021-03-05

Title: Molecular Detection Mapping and Analysis Platform
Description: Runs a Shiny web application that merges raw 'qPCR' fluorescence data with related metadata to visualize species presence/absence detection patterns and assess data quality. The application calculates threshold values from raw fluorescence data using a method based on the second derivative method, Luu-The et al (2005) <doi:10.2144/05382RR05>, and utilizes the ‘chipPCR’ package by Rödiger, Burdukiewicz, & Schierack (2015) <doi:10.1093/bioinformatics/btv205> to calculate Cq values. The application has the ability to connect to a custom developed MySQL database to populate the applications interface. The application allows users to interact with visualizations such as a dynamic map, amplification curves and standard curves, that allow for zooming and/or filtering. It also enables the generation of customized exportable reports based on filtered mapping data.
Author: Alka Benawra <alkabenawra@rogers.com>
Maintainer: Alka Benawra <alkabenawra@rogers.com>

Diff between MDMAPR versions 0.2.0 dated 2021-03-05 and 0.2.1 dated 2021-03-30

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Package sdols (with last version 3.0.0) was removed from CRAN

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

2020-11-08 3.0.0
2019-10-02 2.0.0
2019-07-03 1.7.5
2018-10-30 1.7
2018-06-29 1.6
2017-12-05 1.4
2017-12-01 1.3

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Package rTLS (with last version 0.2.3) was removed from CRAN

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

2021-03-16 0.2.3

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Package mlr3db (with last version 0.4.0) was removed from CRAN

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

2021-03-09 0.4.0
2020-12-16 0.3.0
2020-09-28 0.2.0
2020-02-19 0.1.5
2020-02-05 0.1.4
2019-10-29 0.1.3
2019-08-26 0.1.2
2019-08-01 0.1.1

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Package cinaR (with last version 0.2.0) was removed from CRAN

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

2021-01-05 0.2.0
2020-11-14 0.1.0

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Package TexMix (with last version 0.5.3) was removed from CRAN

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

2020-03-01 0.5.3

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