Mon, 08 May 2023

Package simplevis updated to version 7.1.0 with previous version 7.0.0 dated 2023-01-29

Title: Wrappers to Simplify 'leaflet' Visualisation
Description: Wrapper functions around the amazing 'leaflet' package that aims to simplify 'leaflet' visualisation. See the 'ggblanket' package for 'ggplot2' wrappers.
Author: David Hodge [aut, cre] , Kate Lee [ctb] , Xavier Miles [ctb] , Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between simplevis versions 7.0.0 dated 2023-01-29 and 7.1.0 dated 2023-05-08

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Package BayesPPD updated to version 1.1.1 with previous version 1.1.0 dated 2022-11-12

Title: Bayesian Power Prior Design
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at <doi:10.32614/RJ-2023-016>. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
Author: Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>

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Package waldo updated to version 0.5.1 with previous version 0.5.0 dated 2023-05-01

Title: Find Differences Between R Objects
Description: Compare complex R objects and reveal the key differences. Designed particularly for use in testing packages where being able to quickly isolate key differences makes understanding test failures much easier.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between waldo versions 0.5.0 dated 2023-05-01 and 0.5.1 dated 2023-05-08

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Package OlinkAnalyze updated to version 3.4.1 with previous version 3.4.0 dated 2023-04-26

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

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Package jackknifeR updated to version 1.2.0 with previous version 1.0.0 dated 2023-01-13

Title: Delete-d Jackknife for Point and Interval Estimation
Description: This function creates jackknife samples from the data by sequentially removing d observations from the data, performs estimation using the jackknife samples and calculates the jackknife coefficients, bias, standard error and confidence intervals based on the methodology discussed by Quenouille (1956) <doi:10.2307/2332914>, Tukey (1958) <doi:10.1214/aoms/1177706647> and Shi (1988) <doi:10.1016/0167-7152(88)90011-9>.
Author: S. Mohanasundaram [aut, cre]
Maintainer: S. Mohanasundaram <s.mohanasundaram@outlook.com>

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Package httr2 updated to version 0.2.3 with previous version 0.2.2 dated 2022-09-25

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package vscc updated to version 0.5 with previous version 0.4 dated 2022-10-16

Title: Variable Selection for Clustering and Classification
Description: Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix'). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2>.
Author: Jeffrey L. Andrews [aut], Mackenzie Neal [aut], Paul D. McNicholas [aut, cre]
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>

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Package tablet updated to version 0.6.2 with previous version 0.6.1 dated 2023-05-02

Title: Tabulate Descriptive Statistics in Multiple Formats
Description: Creates a table of descriptive statistics for factor and numeric columns in a data frame. Displays these by groups, if any. Highly customizable, with support for 'html' and 'pdf' provided by 'kableExtra'. Respects original column order, column labels, and factor level order. See ?tablet.data.frame and vignettes.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package moveHMM updated to version 1.9 with previous version 1.8 dated 2022-05-13

Title: Animal Movement Modelling using Hidden Markov Models
Description: Provides tools for animal movement modelling using hidden Markov models. These include processing of tracking data, fitting hidden Markov models to movement data, visualization of data and fitted model, decoding of the state process, etc. <doi:10.1111/2041-210X.12578>.
Author: Theo Michelot , Roland Langrock , Toby Patterson , Brett McClintock , Eric Rexstad
Maintainer: Theo Michelot <theo.michelot@dal.ca>

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Package maraca updated to version 0.5.0 with previous version 0.4.0 dated 2022-11-21

Title: The Maraca Plot: Visualization of Hierarchical Composite Endpoints in Clinical Trials
Description: Library that supports visual interpretation of hierarchical composite endpoints (HCEs). HCEs are complex constructs used as primary endpoints in clinical trials, combining outcomes of different types into ordinal endpoints, in which each patient contributes the most clinically important event (one and only one) to the analysis.
Author: Martin Karpefors [aut], Samvel B. Gasparyan [aut], Monika Huhn [aut, cre], Stefano Borini [ctb]
Maintainer: Monika Huhn <monika.huhn@astrazeneca.com>

Diff between maraca versions 0.4.0 dated 2022-11-21 and 0.5.0 dated 2023-05-08

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New package drcte with initial version 1.0.30
Package: drcte
Date: 2023-04-19
Title: Statistical Approaches for Time-to-Event Data in Agriculture
Version: 1.0.30
Depends: R (>= 4.0.0), drc
Imports: methods, plyr, nor1mix, graphics, stats, mclust, survival, sandwich, lmtest, dplyr, multcomp, tidyr, MASS
Maintainer: Andrea Onofri <andrea.onofri@unipg.it>
Description: A specific and comprehensive framework for the analyses of time-to-event data in agriculture. Fit non-parametric and parametric time-to-event models. Compare time-to-event curves for different experimental groups. Plots and other displays. It is particularly tailored to the analyses of data from germination and emergence assays. The methods are described in Onofri et al. (2020) "A unified framework for the analysis of germination, emergence, and other time-to-event data in weed science"", Weed Science, 70, 259-271 <doi:10.1017/wsc.2022.8>.
URL: https://www.statforbiology.com
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-08 12:02:43 UTC; andrea
Author: Andrea Onofri [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-08 18:10:02 UTC

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New package ComRiskModel with initial version 0.1.0
Package: ComRiskModel
Title: Fitting of Complementary Risk Models
Version: 0.1.0
Date: 2023-05-7
Author: Muhammad Imran [aut, cre], M.H Tahir [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>
Depends: R (>= 2.0)
Imports: AdequacyModel, graphics, stats
Description: Evaluates the probability density function (PDF), cumulative distribution function (CDF), quantile function (QF), random numbers and maximum likelihood estimates (MLEs) of well-known complementary binomial-G, complementary negative binomial-G and complementary geometric-G families of distributions taking baseline models such as exponential, extended exponential, Weibull, extended Weibull, Fisk, Lomax, Burr-XII and Burr-X. The functions also allow computing the goodness-of-fit measures namely the Akaike-information-criterion (AIC), the Bayesian-information-criterion (BIC), the minimum value of the negative log-likelihood (-2L) function, Anderson-Darling (A) test, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov test, P-value and convergence status. Moreover, some commonly used data sets from the fields of actuarial, reliability, and medical science are also provided. Related works include: a) Tahir, M. H., & Cordeiro, G. M. (2016). Compounding of distributions: a survey and new gener [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-08 11:14:53 UTC; Amir computers
Repository: CRAN
Date/Publication: 2023-05-08 18:10:05 UTC

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New package myClim with initial version 1.0.1
Package: myClim
Title: Microclimatic Data Processing
Version: 1.0.1
URL: http://labgis.ibot.cas.cz/myclim/index.html, https://github.com/ibot-geoecology/myClim
Description: Handling the microclimatic data in R. The 'myClim' workflow begins at the reading data primary from microclimatic dataloggers, but can be also reading of meteorological station data from files. Cleaning time step, time zone settings and metadata collecting is the next step of the work flow. With 'myClim' tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities, request descriptive characteristics and compute microclimatic variables. Handy plotting functions are provided with smart defaults.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: stringr, lubridate, tibble, dplyr, purrr, tidyr, ggplot2, ggforce, viridis, runner, plotly, zoo, methods
Additional_repositories: https://ibot-geoecology.github.io/drat
Suggests: rmarkdown, knitr, kableExtra, rTubeDB, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-07 20:53:46 UTC; jules
Author: Matěj Man [aut], Vojtěch Kalcik [aut, cre], Martin Macek [aut], Jan Wild [aut], Martin Kopecky [aut], Josef Brůna [aut], Lucia Hederova [aut], Institute of Botany of the Czech Academy of Sciences [cph]
Maintainer: Vojtěch Kalcik <Vojtech.Kalcik@ibot.cas.cz>
Repository: CRAN
Date/Publication: 2023-05-08 17:40:02 UTC

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Package MazamaTimeSeries updated to version 0.2.12 with previous version 0.2.10 dated 2023-01-30

Title: Core Functionality for Environmental Time Series
Description: Utility functions for working with environmental time series data from known locations. The compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.
Author: Jonathan Callahan [aut, cre], Hans Martin [ctb], Eli Grosman [ctb], Roger Bivand [ctb], Sebastian Luque [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaTimeSeries versions 0.2.10 dated 2023-01-30 and 0.2.12 dated 2023-05-08

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New package JICO with initial version 0.0
Package: JICO
Title: Joint and Individual Regression
Version: 0.0
Description: Implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2022). <arXiv:2209.12388>], which solves the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively. It provides the implementation of the algorithm so solve the iterative continuum regression problem with fixed rank selection, as well as the cross-validation function to perform hyperparameter tuning.
License: GPL (>= 3)
Encoding: UTF-8
Imports: nleqslv, Matrix, MASS, rlist
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-08 04:05:36 UTC; peiyaow
Author: Peiyao Wang [aut, cre]
Maintainer: Peiyao Wang <peiyaow76@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-08 17:50:05 UTC

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New package currencyapi with initial version 0.1.0
Package: currencyapi
Title: Client for the 'currencyapi.com' Currency Conversion API
Version: 0.1.0
Description: An R client for the 'currencyapi.com' currency conversion API. The API requires registration of an API key. Basic features are free, some require a paid subscription. You can find the full API documentation at <https://currencyapi.com/docs> .
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://currencyapi.com, https://currencyapi.com/docs
Imports: httr, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-08 09:43:35 UTC; andreasaltheimer
Author: Dominik Kukacka [aut, cre]
Maintainer: Dominik Kukacka <dominik@everapi.com>
Repository: CRAN
Date/Publication: 2023-05-08 17:50:02 UTC

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New package BRVM with initial version 5.0.0
Package: BRVM
Title: Retrieve Historical Data of Companies Listed on the 'BRVM' Stock Exchange
Version: 5.0.0
Description: Provide real-time access to data from the Regional Securities Exchange SA, commonly known as the 'BRVM' stock exchange. The goal is to facilitate data access for users of the R programming language. The package includes a variety of data that can be accessed by calling functions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, rlang (>= 0.4.11), tidyr, dplyr, gsheet, httr, httr2, tseries, goftest, nortest, fBasics, stringr, tibble, xml2, highcharter, xts, formattable, timeDate, rvest, lubridate
Suggests: rmarkdown, knitr, roxygen2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-08 07:44:19 UTC; koffi
Author: Sessie Koffi Frederic [aut, cre, cph], Diakite Abdoul Oudouss [aut], Steven Sanderson [aut]
Maintainer: Sessie Koffi Frederic <koffisessie@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-08 17:50:08 UTC

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Package hermiter updated to version 2.3.0 with previous version 2.2.0 dated 2022-11-15

Title: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
Description: Facilitates estimation of full univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and nonparametric correlation (bivariate) using Hermite series based estimators. These estimators are particularly useful in the sequential setting (both stationary and non-stationary) and one-pass batch estimation setting for large data sets. Based on: Stephanou, Michael, Varughese, Melvin and Macdonald, Iain. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245>, Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z> and Stephanou, Michael and Varughese, Melvin. "Sequential estimation of Spearman rank correlation using Hermite series estimators." Journal of Multivariate Analysis (2021) <doi:10.1016/j.jmv [...truncated...]
Author: Michael Stephanou [aut, cre], Melvin Varughese [ctb]
Maintainer: Michael Stephanou <michael.stephanou@gmail.com>

Diff between hermiter versions 2.2.0 dated 2022-11-15 and 2.3.0 dated 2023-05-08

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Package DoE.base updated to version 1.2-2 with previous version 1.2-1 dated 2022-05-09

Title: Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages
Description: Creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Provides diverse quality criteria. Provides utility functions for the class design, which is also used by other packages for designed experiments.
Author: Ulrike Groemping [aut, cre], Boyko Amarov [ctb], Hongquan Xu [ctb]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

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Package weightedRank updated to version 0.2.5 with previous version 0.1.6 dated 2022-07-14

Title: Sensitivity Analysis Using Weighted Rank Statistics
Description: Performs a sensitivity analysis using weighted rank tests in observational studies with I blocks of size J; see Rosenbaum (2018) <doi:10.1214/18-AOAS1153>. The package can perform adaptive inference in block designs; see Rosenbaum (2012) <doi:10.1093/biomet/ass032>. The main functions are wgtRank() and wgtRanktt() and ef2C().
Author: Paul Rosenbaum [aut, cre]
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>

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Package rolog updated to version 0.9.13 with previous version 0.9.12 dated 2023-04-20

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to 'SWI'-'Prolog', <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to 'prolog' ('consult', 'query'/'submit', 'once', 'findall').
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rolog versions 0.9.12 dated 2023-04-20 and 0.9.13 dated 2023-05-08

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Package ssifs updated to version 1.0.1 with previous version 1.0.0 dated 2023-05-05

Title: Stochastic Search Inconsistency Factor Selection
Description: Evaluating the consistency assumption of Network Meta-Analysis both globally and locally in the Bayesian framework. Inconsistencies are located by applying Bayesian variable selection to the inconsistency factors. The implementation of the method is described by Seitidis et al. (2022) <arXiv:2211.07258>.
Author: Georgios Seitidis [aut, cre] , Stavros Nikolakopoulos [aut] , Ioannis Ntzoufras [aut] , Dimitris Mavridis [aut]
Maintainer: Georgios Seitidis <g.seitidis@uoi.gr>

Diff between ssifs versions 1.0.0 dated 2023-05-05 and 1.0.1 dated 2023-05-08

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Package SqlRender updated to version 1.15.0 with previous version 1.14.0 dated 2023-04-13

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics Dedicated', 'Apache Spark', and 'SQLite'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package rms updated to version 6.7-0 with previous version 6.6-0 dated 2023-04-09

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr <fh@fharrell.com>
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

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Package irtQ updated to version 0.1.1 with previous version 0.1.0 dated 2023-01-10

Title: Unidimensional Item Response Theory Modeling
Description: Fit unidimensional item response theory (IRT) models to a mixture of dichotomous and polytomous data, calibrate online item parameters (i.e., pretest and operational items), estimate examinees' abilities, and examine the IRT model-data fit on item-level in different ways as well as provide useful functions related to IRT analyses such as IRT model-data fit evaluation and differential item functioning analysis. The bring.flexmirt() and write.flexmirt() functions were written by modifying the read.flexmirt() function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>). The bring.bilog() and bring.parscale() functions were written by modifying the read.bilog() and read.parscale() functions, respectively (Weeks (2010) <doi:10.18637/jss.v035.i12>). The bisection() function was written by modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The code of the inverse test characteristic curve scoring in the est_score() function was written by modifying the [...truncated...]
Author: Hwanggyu Lim [aut, cre], Craig S. Wells [ctb], James Howard [ctb], Joshua Pritikin [ctb], Jonathan P Weeks [ctb], Jorge Gonzalez [ctb]
Maintainer: Hwanggyu Lim <hglim83@gmail.com>

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Package httr updated to version 1.4.6 with previous version 1.4.5 dated 2023-02-24

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], Posit, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package data.validator updated to version 0.2.0 with previous version 0.1.6 dated 2022-01-19

Title: Automatic Data Validation and Reporting
Description: Validate dataset by columns and rows using convenient predicates inspired by 'assertr' package. Generate good looking HTML report or print console output to display in logs of your data processing pipeline.
Author: Marcin Dubel [aut, cre], Pawel Przytula [aut], Jakub Nowicki [aut], Krystian Igras [aut], Dominik Krzeminski [ctb], Servet Ahmet Cizmeli [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Marcin Dubel <opensource+marcin@appsilon.com>

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Package fasano.franceschini.test updated to version 2.2.0 with previous version 2.1.1 dated 2022-11-11

Title: Fasano-Franceschini Test: A Multidimensional Kolmogorov-Smirnov Two-Sample Test
Description: An implementation of the two-sample multidimensional Kolmogorov-Smirnov test described by Fasano and Franceschini (1987) <doi:10.1093/mnras/225.1.155>. This test evaluates the null hypothesis that two i.i.d. random samples were drawn from the same underlying probability distribution. The data can be of any dimension, and can be of any type (continuous, discrete, or mixed).
Author: Connor Puritz [aut, cre] , Elan Ness-Cohn [aut] , Rosemary Braun [ctb, ths] , Luca Weihs [cph]
Maintainer: Connor Puritz <connorpuritz2025@u.northwestern.edu>

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Package baizer updated to version 0.5.0 with previous version 0.4.5 dated 2023-04-17

Title: Useful Functions for Data Processing
Description: In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!
Author: William Song [aut, cre]
Maintainer: William Song <william_swl@163.com>

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Package EvidenceSynthesis updated to version 0.5.0 with previous version 0.4.1 dated 2023-04-05

Title: Synthesizing Causal Evidence in a Distributed Research Network
Description: Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data. Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Fan Bu [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package SSplots updated to version 0.1.1 with previous version 0.1.0 dated 2023-05-05

Title: Stock Status Plots (SSPs)
Description: Pauly et al. (2008) <http://legacy.seaaroundus.s3.amazonaws.com/doc/Researcher+Publications/dpauly/PDF/2008/Books%26Chapters/FisheriesInLargeMarineEcosystems.pdf> created (and coined the name) 'Stock Status Plots' for a UNEP compendium on Large Marine Ecosystems (LMEs, Sherman and Hempel 2008 <https://agris.fao.org/agris-search/search.do?recordID=XF2015036057>). Stock status plots are bivariate graphs summarizing the status (e.g., developing, fully exploited, overexploited, etc.), through time, of the multispecies fisheries of a fished area or ecosystem. This package contains two functions to generate stock status plots viz., SSplots_pauly() (as per the criteria proposed by Pauly et al.,2008) and SSplots_kleisner() (as per the criteria proposed by Kleisner and Pauly (2011) <http://www.ecomarres.com/downloads/regional.pdf> and Kleisner et al. (2013) <doi:10.1111/j.1467-2979.2012.00469.x>).
Author: Eldho Varghese [aut, cre], J Jayasankar [aut], Sreepriya V [aut], Reshma Gills [ctb], Ashutosh Dalal [ctb]
Maintainer: Eldho Varghese <eldhoiasri@gmail.com>

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Package metafor updated to version 4.2-0 with previous version 4.0-0 dated 2023-03-19

Title: Meta-Analysis Package for R
Description: A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta [...truncated...]
Author: Wolfgang Viechtbauer [aut, cre]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

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Package crossnma updated to version 1.1.0 with previous version 1.0.1 dated 2022-04-15

Title: Cross-Design & Cross-Format Network Meta-Analysis and Regression
Description: Network meta-analysis and meta-regression (allows including up to three covariates) for individual participant data, aggregate data, and mixtures of both formats using the three-level hierarchical model. Each format can come from randomized controlled trials or non-randomized studies or mixtures of both. Estimates are generated in a Bayesian framework using JAGS. The implemented models are described by Hamza et al. 2023 <DOI:10.1002/jrsm.1619>.
Author: Tasnim Hamza [aut] , Guido Schwarzer [aut, cre] , Georgia Salanti [aut]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package VedicDateTime updated to version 0.1.4 with previous version 0.1.3 dated 2023-05-08

Title: Vedic Calendar System
Description: Provides platform for Vedic calendar system having several functionalities to facilitate conversion between Gregorian and Vedic calendar systems, and helpful in examining its impact in the time series analysis domain. The background is described in Neeraj Dhanraj Bokde et al. (2021) <doi:10.48550/arXiv.2111.03441>.
Author: Neeraj Dhanraj Bokde [aut, cre, cph], Prajwal Kailasnath Patil [aut], Saradindu Sengupta [aut], Andres Elias Feijoo Lorenzo [aut]
Maintainer: Neeraj Dhanraj Bokde <neerajdhanraj@gmail.com>

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Package switchSelection updated to version 1.0.1 with previous version 1.0.0 dated 2023-05-03

Title: Endogenous Switching and Sample Selection Regression Models
Description: Estimate the parameters of multivariate endogenous switching and sample selection models using methods described in Newey (2009) <doi:10.1111/j.1368-423X.2008.00263.x>, E. Kossova, B. Potanin (2018) <https:ideas.repec.org/a/ris/apltrx/0346.html>, E. Kossova, L. Kupriianova, B. Potanin (2020) <https://ideas.repec.org/a/ris/apltrx/0391.html> and E. Kossova, B. Potanin (2022) <https://ideas.repec.org/a/ris/apltrx/0455.html>.
Author: Bogdan Potanin [aut, cre, ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

Diff between switchSelection versions 1.0.0 dated 2023-05-03 and 1.0.1 dated 2023-05-08

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Package optiSel updated to version 2.0.7 with previous version 2.0.6 dated 2023-01-27

Title: Optimum Contribution Selection and Population Genetics
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees.
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>

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New package crc32c with initial version 0.0.1
Package: crc32c
Title: Cyclic Redundancy Check with CPU-Specific Acceleration
Version: 0.0.1
Date: 2023-05-05
Description: Hardware-based support for 'CRC32C' cyclic redundancy checksum function is made available for 'x86_64' systems with 'SSE2' support as well as for 'arm64', and detected at build-time via 'cmake' with a software-based fallback. This functionality is exported at the 'C'-language level for use by other packages. 'CRC32C' is described in 'RFC 3270' at <https://datatracker.ietf.org/doc/html/rfc3720> and is based on 'Castagnoli et al' <doi:10.1109/26.231911>.
URL: https://github.com/google/crc32c
License: GPL (>= 2)
LinkingTo: tidyCpp
SystemRequirements: cmake
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-05-07 12:03:29 UTC; edd
Author: Dirk Eddelbuettel [aut, cre] , The CRC32C Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2023-05-08 10:20:03 UTC

More information about crc32c at CRAN
Permanent link

New package tutorial.helpers with initial version 0.2.2
Package: tutorial.helpers
Title: Helper Functions for Creating Tutorials
Version: 0.2.2
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' and 'all.primer.tutorials' packages.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, roxygen2, rsconnect, rvest, testthat (>= 3.0.0), tidyverse
Imports: dplyr, grDevices, gridExtra, learnr, parsermd, purrr, readr, rmarkdown, rstudioapi, shiny, stringr, tibble
BugReports: https://github.com/ppbds/tutorial.helpers/issues
URL: https://ppbds.github.io/tutorial.helpers/
NeedsCompilation: no
Packaged: 2023-05-06 02:10:37 UTC; dkane
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-08 09:50:02 UTC

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Package tsbox updated to version 0.4.1 with previous version 0.4 dated 2023-03-08

Title: Class-Agnostic Time Series
Description: Time series toolkit with identical behavior for all time series classes: 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo', 'timeSeries', 'tsibble', 'tis' or 'irts'. Also converts reliably between these classes.
Author: Christoph Sax [aut, cre] , Cathy Chamberlin [rev], Nunes Matt [rev]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

Diff between tsbox versions 0.4 dated 2023-03-08 and 0.4.1 dated 2023-05-08

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Permanent link

Package swephR updated to version 0.3.1 with previous version 0.3.0 dated 2019-08-28

Title: High Precision Swiss Ephemeris
Description: The Swiss Ephemeris (version 2.10.03) is a high precision ephemeris based upon the DE431 ephemerides from NASA's JPL. It covers the time range 13201 BCE to 17191 CE. This package uses the semi-analytic theory by Steve Moshier. For faster and more accurate calculations, the compressed Swiss Ephemeris data is available in the 'swephRdata' package. To access this data package, run 'install.packages("swephRdata", repos = "https://rstub.r-universe.dev", type = "source")'. The size of the 'swephRdata' package is approximately 115 MB. The user can also use the original JPL DE431 data.
Author: Ralf Stubner [aut, cre], Victor Reijs [aut], Authors and copyright holder of the Swiss Ephemeris [aut, cph]
Maintainer: Ralf Stubner <ralf.stubner@gmail.com>

Diff between swephR versions 0.3.0 dated 2019-08-28 and 0.3.1 dated 2023-05-08

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Package ShinyItemAnalysis updated to version 1.5.0 with previous version 1.4.2 dated 2022-10-21

Title: Test and Item Analysis via Shiny
Description: Package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Jan Netik [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between ShinyItemAnalysis versions 1.4.2 dated 2022-10-21 and 1.5.0 dated 2023-05-08

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Permanent link

New package robStepSplitReg with initial version 1.0.0
Package: robStepSplitReg
Title: Robust Stepwise Split Regularized Regression
Version: 1.0.0
Date: 2023-05-04
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to perform robust stepwise split regularized regression. The approach first uses a robust stepwise algorithm to split the variables into the models of an ensemble. An adaptive robust regularized estimator is then applied to each subset of predictors in the models of an ensemble.
License: GPL (>= 2)
Encoding: UTF-8
Biarch: true
Imports: Rcpp (>= 1.0.9), cellWise, pense
Suggests: testthat, mvnfast
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-05-06 04:58:52 UTC; antho
Author: Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut]
Repository: CRAN
Date/Publication: 2023-05-08 10:00:02 UTC

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New package PStrata with initial version 0.0.1
Package: PStrata
Title: Principal Stratification Analysis with Post-Randomization Intervention
Version: 0.0.1
Date: 2023-05-04
Maintainer: Bo Liu <bl226@duke.edu>
Description: Estimating causal effects in the presence of post-treatment confounding using principal stratification. 'PStrata' allows for customized monotonicity assumptions and exclusion restriction assumptions, with automatic full Bayesian inference supported by 'Stan'. The main function to use in this package is PStrata(), which provides posterior estimates of principal causal effect with uncertainty quantification. Visualization tools are also provided for diagnosis and interpretation. See Liu and Li (2023) <arXiv:2304.02740> for details.
License: GPL (>= 2)
Imports: patchwork, ggplot2, rstan, lme4, abind, dplyr, purrr, stringr, stats, rlang
LazyData: true
NeedsCompilation: yes
Packaged: 2023-05-06 04:12:16 UTC; bo
Author: Bo Liu [aut, cre], Fan Li [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-05-08 10:00:12 UTC

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New package micEconDistRay with initial version 0.1-0
Package: micEconDistRay
Version: 0.1-0
Date: 2023-05-05
Title: Econometric Production Analysis with Ray-Based Distance Functions
Depends: R (>= 4.2.0)
Imports: sfaR (>= 0.1.1), stats (>= 4.2.0)
Suggests: micEcon (>= 0.6-18), quadprog (>= 1.5-8)
Description: Econometric analysis of multiple-input-multiple-output production technologies with ray-based input distance functions as suggested by Price and Henningsen (2022): "A Ray-Based Input Distance Function to Model Zero-Valued Output Quantities: Derivation and an Empirical Application", <https://ideas.repec.org/p/foi/wpaper/2022_03.html>.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/micEcon/micEconDistRay
BugReports: https://github.com/micEcon/micEconDistRay/issues
NeedsCompilation: no
Packaged: 2023-05-05 20:15:55 UTC; gsl324
Author: Arne Henningsen [aut, cre], Juan Jose Price [aut]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-08 09:40:02 UTC

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Package icesDatras updated to version 1.4.1 with previous version 1.4.0 dated 2022-02-10

Title: DATRAS Trawl Survey Database Web Services
Description: R interface to access the web services of the ICES (International Council for the Exploration of the Sea) DATRAS trawl survey database <https://datras.ices.dk/WebServices/Webservices.aspx>.
Author: Colin Millar [aut, cre], Cecilia Kvaavik [aut], Adriana Villamor [aut], Scott Large [aut], Arni Magnusson [aut], Vaishav Soni [ctb]
Maintainer: Colin Millar <colin.millar@ices.dk>

Diff between icesDatras versions 1.4.0 dated 2022-02-10 and 1.4.1 dated 2023-05-08

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New package ggrounded with initial version 0.0.2
Package: ggrounded
Title: Rounded Bar Plots
Version: 0.0.2
Description: Creates bar plots with rounded corners using 'ggplot2'. The code in this package was adapted from a solution provided by Stack Overflow user 'sthoch' in the following post <https://stackoverflow.com/questions/62176038/r-ggplot2-bar-chart-with-round-corners-on-top-of-bar>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, grid, gridGeometry
URL: https://github.com/botan/ggrounded, https://botan.github.io/ggrounded/
BugReports: https://github.com/botan/ggrounded/issues
Suggests: covr, testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2023-05-05 23:39:48 UTC; botan
Author: Botan Agin [aut, cre, cph]
Maintainer: Botan Agin <aginbotan@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-08 09:50:08 UTC

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Package ezcox updated to version 1.0.4 with previous version 1.0.2 dated 2021-10-28

Title: Easily Process a Batch of Cox Models
Description: A tool to operate a batch of univariate or multivariate Cox models and return tidy result.
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between ezcox versions 1.0.2 dated 2021-10-28 and 1.0.4 dated 2023-05-08

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Package corpustools updated to version 0.5.1 with previous version 0.4.10 dated 2022-05-11

Title: Managing, Querying and Analyzing Tokenized Text
Description: Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations). Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences), similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages, and the possibility to reconstruct original text from tokens to facilitate interpretation.
Author: Kasper Welbers and Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

Diff between corpustools versions 0.4.10 dated 2022-05-11 and 0.5.1 dated 2023-05-08

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New package anabel with initial version 3.0.0
Package: anabel
Title: Analysis of Binding Events + l
Version: 3.0.0
Description: A free software for a fast and easy analysis of 1:1 molecular interaction studies. This package is suitable for a high-throughput data analysis. Both the online app and the package are completely open source. You provide a table of sensogram, tell 'anabel' which method to use, and it takes care of all fitting details. The first two releases of 'anabel' were created and implemented as in (<doi:10.1177/1177932218821383>, <doi:10.1093/database/baz101>).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Imports: cli (>= 3.4), dplyr (>= 1.0), ggplot2 (>= 3.3), kableExtra (>= 1.3), minpack.lm (>= 1.2), openxlsx (>= 4.2), progress (>= 1.2), purrr (>= 0.3), qpdf, reshape2 (>= 1.4), rlang (>= 1.0), stats (>= 4.0), tidyr (>= 1.2), utils (>= 4.0)
Depends: R (>= 4.0)
Suggests: htmltools (>= 0.5), knitr (>= 1.36), rmarkdown (>= 2.17), testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2023-05-05 22:14:42 UTC; hooral-hasani
Author: Hoor Al-Hasani [aut, cre] , Oliver Selinger [aut] , Stefan Kraemer [aut]
Maintainer: Hoor Al-Hasani <anabel@biocopy.de>
Repository: CRAN
Date/Publication: 2023-05-08 09:50:20 UTC

More information about anabel at CRAN
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Package yorkr updated to version 0.0.41 with previous version 0.0.40 dated 2023-04-07

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between yorkr versions 0.0.40 dated 2023-04-07 and 0.0.41 dated 2023-05-08

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Package scplot updated to version 0.3.1 with previous version 0.3.0 dated 2023-03-21

Title: Plot Function for Single-Case Data Frames
Description: Add-on for the 'scan' package that creates plots from single-case data frames ('scdf'). It includes functions for styling single-case plots, adding phase-based lines to indicate various statistical parameters, and predefined themes for presentations and publications. More information and in depth examples can be found in the online book "Analyzing Single-Case Data with R and 'scan" Jürgen Wilbert (2023) <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [aut, cre]
Maintainer: Juergen Wilbert <juergen.wilbert@uni-potsdam.de>

Diff between scplot versions 0.3.0 dated 2023-03-21 and 0.3.1 dated 2023-05-08

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 man/set_phasenames.Rd |    6 +++---
 8 files changed, 52 insertions(+), 41 deletions(-)

More information about scplot at CRAN
Permanent link

Package RGCCA updated to version 3.0.1 with previous version 3.0.0 dated 2023-04-27

Title: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
Description: Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: to study the relationships between blocks and to identify subsets of variables of each block which are active in their relationships with the other blocks. This package allows to (i) run R/SGCCA and related methods (\link{rgcca}), (ii) help the user to find out the optimal parameters for R/SGCCA such as regularization parameters (tau or sparsity) (\link{rgcca_permutation}, \link{rgcca_cv}), (iii) evaluate the stability of the RGCCA results and their significance (\link{rgcca_bootstrap} and \link{rgcca_stability}), (iv) build predictive models from the R/SGCCA (\link{rgcca_predict}), (v) Generic print() and plot() functions apply to all these functionalities.
Author: Fabien Girka [aut], Etienne Camenen [aut], Caroline Peltier [aut], Arnaud Gloaguen [aut], Vincent Guillemot [aut], Laurent Le Brusquet [ths], Arthur Tenenhaus [aut, ths, cre]
Maintainer: Arthur Tenenhaus <arthur.tenenhaus@centralesupelec.fr>

Diff between RGCCA versions 3.0.0 dated 2023-04-27 and 3.0.1 dated 2023-05-08

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 RGCCA-3.0.1/RGCCA/NAMESPACE                                                                           |  122 
 RGCCA-3.0.1/RGCCA/NEWS.md                                                                             |   52 
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 RGCCA-3.0.1/RGCCA/R/Russett.R                                                                         |  112 
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 RGCCA-3.0.1/RGCCA/R/checks.R                                                                          |  894 +-
 RGCCA-3.0.1/RGCCA/R/compute_astar.R                                                                   |   72 
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 RGCCA-3.0.1/RGCCA/R/cor2.R                                                                            |   18 
 RGCCA-3.0.1/RGCCA/R/cov2.R                                                                            |   72 
 RGCCA-3.0.1/RGCCA/R/defl_select.R                                                                     |   80 
 RGCCA-3.0.1/RGCCA/R/deflate.R                                                                         |  122 
 RGCCA-3.0.1/RGCCA/R/deflation.R                                                                       |   24 
 RGCCA-3.0.1/RGCCA/R/elongate_arg.R                                                                    |   16 
 RGCCA-3.0.1/RGCCA/R/format_bootstrap_list.R                                                           |   72 
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 RGCCA-3.0.1/RGCCA/R/get_available_metrics.R                                                           |   26 
 RGCCA-3.0.1/RGCCA/R/get_rgcca_args.R                                                                  |  182 
 RGCCA-3.0.1/RGCCA/R/handle_NA.R                                                                       |   24 
 RGCCA-3.0.1/RGCCA/R/initsvd.R                                                                         |   60 
 RGCCA-3.0.1/RGCCA/R/intersection.R                                                                    |   46 
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 RGCCA-3.0.1/RGCCA/R/plot.rgcca.R                                                                      |  904 +-
 RGCCA-3.0.1/RGCCA/R/plot.stability.R                                                                  |   48 
 RGCCA-3.0.1/RGCCA/R/plot_ave.R                                                                        |   70 
 RGCCA-3.0.1/RGCCA/R/plot_biplot.R                                                                     |  158 
 RGCCA-3.0.1/RGCCA/R/plot_both.R                                                                       |   54 
 RGCCA-3.0.1/RGCCA/R/plot_cor_circle.R                                                                 |  172 
 RGCCA-3.0.1/RGCCA/R/plot_loadings.R                                                                   |   92 
 RGCCA-3.0.1/RGCCA/R/plot_sample.R                                                                     |  196 
 RGCCA-3.0.1/RGCCA/R/pm.R                                                                              |   32 
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 RGCCA-3.0.1/RGCCA/R/print.rgcca.R                                                                     |  174 
 RGCCA-3.0.1/RGCCA/R/print.stability.R                                                                 |   44 
 RGCCA-3.0.1/RGCCA/R/print_call.R                                                                      |   78 
 RGCCA-3.0.1/RGCCA/R/print_comp.R                                                                      |   98 
 RGCCA-3.0.1/RGCCA/R/proj_l1_l2.R                                                                      |  324 
 RGCCA-3.0.1/RGCCA/R/remove_null_sd.R                                                                  |  116 
 RGCCA-3.0.1/RGCCA/R/rgcca.R                                                                           |  992 +--
 RGCCA-3.0.1/RGCCA/R/rgcca_bootstrap.R                                                                 |  324 
 RGCCA-3.0.1/RGCCA/R/rgcca_bootstrap_k.R                                                               |  134 
 RGCCA-3.0.1/RGCCA/R/rgcca_bootstrap_stats.R                                                           |  146 
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 RGCCA-3.0.1/RGCCA/R/rgcca_cv_k.R                                                                      |   70 
 RGCCA-3.0.1/RGCCA/R/rgcca_init.R                                                                      |  146 
 RGCCA-3.0.1/RGCCA/R/rgcca_permutation.R                                                               |  726 +-
 RGCCA-3.0.1/RGCCA/R/rgcca_permutation_k.R                                                             |   68 
 RGCCA-3.0.1/RGCCA/R/rgcca_postprocess.R                                                               |   32 
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 RGCCA-3.0.1/RGCCA/R/rgccak.R                                                                          |  270 
 RGCCA-3.0.1/RGCCA/R/scale2.R                                                                          |   40 
 RGCCA-3.0.1/RGCCA/R/scale_inertia.R                                                                   |   50 
 RGCCA-3.0.1/RGCCA/R/scale_lambda1.R                                                                   |   42 
 RGCCA-3.0.1/RGCCA/R/scaling.R                                                                         |   50 
 RGCCA-3.0.1/RGCCA/R/select_analysis.R                                                                 | 1012 +--
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 RGCCA-3.0.1/RGCCA/R/sgcca_init.R                                                                      |   84 
 RGCCA-3.0.1/RGCCA/R/sgcca_postprocess.R                                                               |   86 
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 RGCCA-3.0.1/RGCCA/R/sgccak.R                                                                          |  206 
 RGCCA-3.0.1/RGCCA/R/shave.R                                                                           |   54 
 RGCCA-3.0.1/RGCCA/R/soft.R                                                                            |   14 
 RGCCA-3.0.1/RGCCA/R/soft_threshold.R                                                                  |   34 
 RGCCA-3.0.1/RGCCA/R/stop.R                                                                            |   20 
 RGCCA-3.0.1/RGCCA/R/subset_rows.R                                                                     |   42 
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More information about RGCCA at CRAN
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Package httpuv updated to version 1.6.10 with previous version 1.6.9 dated 2023-02-14

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between httpuv versions 1.6.9 dated 2023-02-14 and 1.6.10 dated 2023-05-08

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More information about httpuv at CRAN
Permanent link

Package distr updated to version 2.9.2 with previous version 2.9.1 dated 2022-11-16

Title: Object Oriented Implementation of Distributions
Description: S4-classes and methods for distributions.
Author: Florian Camphausen [ctb] , Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb] , R Core Team [ctb, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package bootUR updated to version 1.0.0 with previous version 0.5.0 dated 2022-07-11

Title: Bootstrap Unit Root Tests
Description: Set of functions to perform various bootstrap unit root tests for both individual time series (including augmented Dickey-Fuller test and union tests), multiple time series and panel data; see Smeekes and Wilms (2023) <doi:10.18637/jss.v106.i12>, Palm, Smeekes and Urbain (2008) <doi:10.1111/j.1467-9892.2007.00565.x>, Palm, Smeekes and Urbain (2011) <doi:10.1016/j.jeconom.2010.11.010>, Moon and Perron (2012) <doi:10.1016/j.jeconom.2012.01.008>, Smeekes and Taylor (2012) <doi:10.1017/S0266466611000387> and Smeekes (2015) <doi:10.1111/jtsa.12110> for key references.
Author: Stephan Smeekes [cre, aut] , Ines Wilms [aut]
Maintainer: Stephan Smeekes <s.smeekes@maastrichtuniversity.nl>

Diff between bootUR versions 0.5.0 dated 2022-07-11 and 1.0.0 dated 2023-05-08

 DESCRIPTION                          |   10 +-
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 R/bootURtests.R                      |    8 +-
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 man/boot_sqt.Rd                      |    2 
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 man/find_nonmissing_subsample.Rd     |    3 
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 src/Makevars                         |    1 
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 24 files changed, 155 insertions(+), 95 deletions(-)

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Package VedicDateTime updated to version 0.1.3 with previous version 0.1.2 dated 2023-03-17

Title: Vedic Calendar System
Description: Provides platform for Vedic calendar system having several functionalities to facilitate conversion between Gregorian and Vedic calendar systems, and helpful in examining its impact in the time series analysis domain. The background is described in Neeraj Dhanraj Bokde et al. (2021) <doi:10.48550/arXiv.2111.03441>, Karanam L. Ramakumar et al. (2011) <https:archive.org/details/PanchangamCalculations>, K. S. Charak et al. (2012, ISBN:8190100807), Satish BD et al. (2013) <https:github.com/webresh/drik-panchanga>.
Author: Neeraj Dhanraj Bokde [aut, cre, cph], Prajwal Kailasnath Patil [aut], Saradindu Sengupta [aut], Andres Elias Feijoo Lorenzo [aut]
Maintainer: Neeraj Dhanraj Bokde <neerajdhanraj@gmail.com>

Diff between VedicDateTime versions 0.1.2 dated 2023-03-17 and 0.1.3 dated 2023-05-08

 DESCRIPTION                           |    8 ++++----
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 inst/doc/VedicDateTime.pdf            |binary
 tests/testthat/test_moon_longtitude.R |    5 +++++
 tests/testthat/test_nakshatra.R       |    5 +++++
 tests/testthat/test_tithi.R           |    5 +++++
 tests/testthat/test_yoga.R            |    5 +++++
 7 files changed, 30 insertions(+), 10 deletions(-)

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New package rsyslog with initial version 1.0.3
Package: rsyslog
Title: Interface to the 'syslog' System Logger
Version: 1.0.3
Maintainer: Aaron Jacobs <atheriel@gmail.com>
Description: Functions to write messages to the 'syslog' system logger API, available on all 'POSIX'-compatible operating systems. Features include tagging messages with a priority level and application type, as well as masking (hiding) messages below a given priority level.
License: GPL (>= 2)
URL: https://github.com/atheriel/rsyslog
BugReports: https://github.com/atheriel/rsyslog/issues
Encoding: UTF-8
OS_type: unix
SystemRequirements: POSIX.1-2001
NeedsCompilation: yes
Packaged: 2023-05-06 14:46:25 UTC; aaron
Author: Aaron Jacobs [aut, cre], Crescendo Technology Ltd. [cph]
Repository: CRAN
Date/Publication: 2023-05-08 07:10:02 UTC

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Package klassR updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-19

Title: Classifications and Codelists for Statistics Norway
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.
Author: Susie Jentoft, Lisa Li, Diana-Cristina Iancu
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>

Diff between klassR versions 0.2.0 dated 2023-01-19 and 0.2.1 dated 2023-05-08

 DESCRIPTION                      |    6 +--
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 NEWS.md                          |    6 +++
 R/Hent_data.R                    |   63 ++++++++++++++++++++++++++++++---------
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 man/MakeUrl.Rd                   |    1 
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 tests/testthat/test_GetKlass.R   |    8 ++++
 8 files changed, 97 insertions(+), 40 deletions(-)

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New package islasso with initial version 1.5.0
Package: islasso
Title: The Induced Smoothed Lasso
Version: 1.5.0
Date: 2023-05-02
Depends: glmnet (>= 4.0), Matrix (>= 1.0-6), R (>= 4.0.0)
Imports: stats, utils, graphics
Suggests: knitr, lars, xfun, rmarkdown
Description: An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-05-05 21:42:57 UTC; gianlucasottile
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
LazyLoad: yes
Repository: CRAN
Date/Publication: 2023-05-08 07:20:02 UTC

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Package Hmisc updated to version 5.1-0 with previous version 5.0-1 dated 2023-03-08

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, general moving window statistical estimation, and assistance in interpreting principal component analysis.
Author: Frank E Harrell Jr [aut, cre] , Charles Dupont [ctb]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between Hmisc versions 5.0-1 dated 2023-03-08 and 5.1-0 dated 2023-05-08

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 man/testCharDateTime.Rd  |only
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 36 files changed, 1198 insertions(+), 375 deletions(-)

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New package excel.link with initial version 0.9.11
Package: excel.link
Title: Convenient Data Exchange with Microsoft Excel
Version: 0.9.11
Author: Gregory Demin <excel.link.feedback@gmail.com>. To comply CRAN policy includes source code from 'RDCOMClient' by Duncan Temple Lang <duncan@wald.ucdavis.edu>.
Maintainer: Gregory Demin <excel.link.feedback@gmail.com>
Depends: methods, grDevices, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
OS_type: windows
Description: Allows access to data in running instance of Microsoft Excel (e. g. 'xl[a1] = xl[b2]*3' and so on). Graphics can be transferred with 'xl[a1] = current.graphics()'. Additionally there are function for reading/writing 'Excel' files - 'xl.read.file'/'xl.save.file'. They are not fast but able to read/write '*.xlsb'-files and password-protected files. There is an Excel workbook with examples of calling R from Excel in the 'doc' folder. It tries to keep things as simple as possible - there are no needs in any additional installations besides R, only 'VBA' code in the Excel workbook. Microsoft Excel is required for this package.
License: GPL (>= 2)
URL: https://github.com/gdemin/excel.link
BugReports: https://github.com/gdemin/excel.link/issues
LazyLoad: yes
ByteCompile: TRUE
NeedsCompilation: yes
Packaged: 2023-05-06 15:52:57 UTC; cekor
Repository: CRAN
Date/Publication: 2023-05-08 07:10:06 UTC

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New package ergMargins with initial version 0.1.3.1
Package: ergMargins
Title: Process Analysis for Exponential Random Graph Models
Version: 0.1.3.1
Maintainer: Scott Duxbury <duxbury@email.unc.edu>
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: numDeriv, stats, ergm, Matrix, network, btergm
Suggests: MASS, knitr, rmarkdown, statnet.common, methods, sna
NeedsCompilation: no
Packaged: 2023-05-07 12:47:37 UTC; Scott D
Author: Scott Duxbury [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-05-08 07:10:09 UTC

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New package covid19br with initial version 0.1.5
Package: covid19br
Title: Brazilian COVID-19 Pandemic Data
Version: 0.1.5
Description: Set of functions to import COVID-19 pandemic data into R. The Brazilian COVID-19 data, obtained from the official Brazilian repository at <https://covid.saude.gov.br/>, is available at country, region, state, and city-levels. The package also downloads the world-level COVID-19 data from the John Hopkins University's repository.
URL: https://fndemarqui.github.io/covid19br/
BugReports: https://github.com/fndemarqui/covid19br/issues
Encoding: UTF-8
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: curl, data.table, dplyr, httr, rlang, sf, tidyr
Suggests: ggrepel, kableExtra, knitr, leaflet, pracma, plotly, rmarkdown, testthat, tidyverse
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-06 11:24:36 UTC; fndemarqui
Author: Fabio Demarqui [aut, cre, cph], Cristiano Santos [aut], Matheus Costa [ctb]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>
Repository: CRAN
Date/Publication: 2023-05-08 07:20:06 UTC

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New package cheem with initial version 0.3.0
Package: cheem
Title: Interactively Explore Local Explanations with the Radial Tour
Version: 0.3.0
Description: Given a tree-based machine learning model, calculate the tree SHAP <arXiv:1802.03888>; <https://github.com/ModelOriented/treeshap> local explanation of every observation. View the data space, explanation space, and model residuals as ensemble graphic interactive on a shiny application. After an observation of interest is identified, the normalized variable importance of the local explanation is used as a 1D projection basis. The support of the local explanation is then explored by changing the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>; <doi:10.1080/10618600.1997.10474754>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
URL: https://github.com/nspyrison/cheem/
BugReports: https://github.com/nspyrison/cheem/issues
Imports: spinifex (>= 0.3.3), ggplot2, plotly, magrittr, shiny, shinythemes, shinycssloaders, DT, conflicted
Suggests: methods, tourr, lqmm, mvtnorm, gganimate, dplyr, tidyr, tictoc, beepr, knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-08 02:15:28 UTC; spyri
Author: Nicholas Spyrison [aut, cre]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-08 07:10:12 UTC

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Package qdap (with last version 2.4.3) was removed from CRAN

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

2020-09-27 2.4.3
2020-04-20 2.4.1
2020-01-09 2.3.6
2019-01-02 2.3.2
2018-05-15 2.3.0
2017-11-20 2.2.9
2017-09-05 2.2.8
2017-08-27 2.2.7
2016-06-16 2.2.5
2015-10-09 2.2.4
2015-07-05 2.2.2
2015-05-11 2.2.1
2014-10-04 2.2.0
2014-08-02 2.1.1
2014-06-15 2.1.0
2014-05-31 2.0.0
2014-04-08 1.3.5
2014-04-01 1.3.4
2014-03-25 1.3.3
2014-03-17 1.3.2
2014-03-13 1.3.1
2014-03-06 1.2.0
2014-02-22 1.1.0
2013-09-01 0.2.5
2013-06-26 0.2.3
2013-05-18 0.2.2
2013-03-13 0.2.1
2013-02-01 0.2.0

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Package ecan (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:

2023-03-23 0.2.0

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Package tosr (with last version 0.1.2) was removed from CRAN

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

2023-01-13 0.1.2
2022-01-14 0.1.1
2021-07-14 0.1.0

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Package qdapTools (with last version 1.3.5) was removed from CRAN

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

2020-04-17 1.3.5
2017-06-20 1.3.3
2015-09-25 1.3.1
2014-12-21 1.1.0
2014-10-04 1.0.3
2014-08-01 1.0.2
2014-05-28 1.0.1
2014-05-23 1.0.0
2014-05-16 0.2.0
2014-05-08 0.1.0
2014-05-01 0.0.3
2014-04-24 0.0.2

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Package NLPutils (with last version 0.0-5) was removed from CRAN

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

2018-10-18 0.0-5
2016-12-08 0.0-4
2015-06-24 0.0-3
2015-05-06 0.0-2
2014-06-15 0.0-1

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Package dave (with last version 2.0) was removed from CRAN

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

2017-10-13 2.0
2014-07-21 1.5
2013-05-08 1.4
2013-01-24 1.3

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Package CINNA (with last version 1.2.0) was removed from CRAN

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

2022-04-07 1.2.0
2021-11-15 1.1.55
2021-01-28 1.1.54
2019-02-25 1.1.53
2019-02-02 1.1.52
2019-01-13 1.1.51
2018-08-23 1.1.50
2018-05-08 1.1.41
2018-04-10 1.1.4
2018-01-03 1.1.3
2017-10-23 1.1.2
2017-10-08 1.1.1
2017-09-30 1.1.0
2017-07-15 1.0.0

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Package censusGeography (with last version 0.1.0) was removed from CRAN

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

2016-08-28 0.1.0

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