Mon, 01 May 2023

Package nc updated to version 2023.5.1 with previous version 2020.8.6 dated 2020-08-10

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression C libraries (PCRE, RE2, ICU). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between nc versions 2020.8.6 dated 2020-08-10 and 2023.5.1 dated 2023-05-01

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Package CarletonStats updated to version 2.1 with previous version 2.0 dated 2018-08-08

Title: Functions for Statistics Classes at Carleton College
Description: Includes commands for bootstrapping and permutation tests, a command for created grouped bar plots, and a demo of the quantile-normal plot for data drawn from different distributions.
Author: Laura Chihara [aut], Adam Loy [aut, cre]
Maintainer: Adam Loy <aloy@carleton.edu>

Diff between CarletonStats versions 2.0 dated 2018-08-08 and 2.1 dated 2023-05-01

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Package AllelicSeries updated to version 0.0.3.0 with previous version 0.0.2.2 dated 2023-01-13

Title: Allelic Series Test
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2022) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1101/2022.12.23.521658>.
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>

Diff between AllelicSeries versions 0.0.2.2 dated 2023-01-13 and 0.0.3.0 dated 2023-05-01

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Permanent link

New package activatr with initial version 0.1.1
Package: activatr
Title: Utilities for Parsing and Plotting Activities
Version: 0.1.1
Description: This contains helpful functions for parsing, managing, plotting, and visualizing activities, most often from GPX (GPS Exchange Format) files recorded by GPS devices. It allows easy parsing of the source files into standard R data formats, along with functions to compute derived data for the activity, and to plot the activity in a variety of ways.
License: MIT + file LICENSE
URL: https://github.com/dschafer/activatr
BugReports: https://github.com/dschafer/activatr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), geosphere (>= 1.5), ggmap (>= 3.0.0), glue (>= 1.4.0), httr (>= 1.4.0), lubridate (>= 1.7.0), magrittr (>= 2.0.0), rlang (>= 0.4.0), tibble (>= 3.0.0), slider (>= 0.3.0), xml2 (>= 1.3.2)
Suggests: covr (>= 3.5.0), lintr (>= 3.0.0), ggplot2 (>= 3.4.0), knitr (>= 1.30), mockery (>= 0.4.2), rmarkdown (>= 2.6), roxygen2 (>= 7.1.0), styler (>= 1.9.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-01 18:00:35 UTC; dschafer
Author: Daniel Schafer [aut, cph, cre]
Maintainer: Daniel Schafer <dan.schafer@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-01 22:00:02 UTC

More information about activatr at CRAN
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Package RQuantLib updated to version 0.4.18 with previous version 0.4.17 dated 2022-10-25

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen , Terry Leitch
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.17 dated 2022-10-25 and 0.4.18 dated 2023-05-01

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Package LTASR updated to version 0.1.2 with previous version 0.1.1 dated 2023-02-22

Title: Functions to Replicate the Center for Disease Control and Prevention's 'LTAS' Software in R
Description: A suite of functions for reading in a rate file in XML format, stratify a cohort, and calculate 'SMRs' from the stratified cohort and rate file.
Author: Stephen Bertke [aut, cre]
Maintainer: Stephen Bertke <nioshltas@cdc.gov>

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Package votesmart updated to version 0.1.2 with previous version 0.1.0 dated 2021-02-22

Title: Wrapper for the Project 'VoteSmart' API
Description: An R interface to the Project 'VoteSmart'<https://justfacts.votesmart.org/> API.
Author: Deck Technologies [cph, fnd], Amanda Dobbyn [aut, cre], Max Wood [aut], Alyssa Frazee [aut]
Maintainer: Amanda Dobbyn <amanda@deck.tools>

Diff between votesmart versions 0.1.0 dated 2021-02-22 and 0.1.2 dated 2023-05-01

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Package tidySEM updated to version 0.2.4 with previous version 0.2.3 dated 2022-04-14

Title: Tidy Structural Equation Modeling
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize.
Author: Caspar J. van Lissa [aut, cre] , Mauricio Garnier-Villarreal [ctb]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@tilburguniversity.edu>

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Package readysignal updated to version 0.0.8 with previous version 0.0.7 dated 2023-02-24

Title: 'Ready Signal' API Wrapper
Description: A simple way to interact with the 'Ready Signal' API without leaving your 'R' environment. Discover features, manage signals, and retrieve data easily. View the full API documentation at <https://readysignal.com/ready-signal-api-documentation>.
Author: Davis Busteed [aut, cre]
Maintainer: Davis Busteed <davis.busteed@rxa.io>

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Package prioritizr updated to version 8.0.2 with previous version 8.0.0 dated 2023-03-29

Title: Systematic Conservation Prioritization in R
Description: Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products [...truncated...]
Author: Jeffrey O Hanson [aut] , Richard Schuster [aut, cre] , Nina Morrell [aut], Matthew Strimas-Mackey [aut] , Brandon P M Edwards [aut] , Matthew E Watts [aut], Peter Arcese [aut] , Joseph Bennett [aut] , Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>

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Package gsDesign2 updated to version 1.0.8 with previous version 1.0.7 dated 2023-03-20

Title: Group Sequential Design with Non-Constant Effect
Description: The goal of 'gsDesign2' is to enable fixed or group sequential design under non-proportional hazards. To enable highly flexible enrollment, time-to-event and time-to-dropout assumptions, 'gsDesign2' offers piecewise constant enrollment, failure rates, and dropout rates for a stratified population. This package includes three methods for designs: average hazard ratio, weighted logrank tests in Yung and Liu (2019) <doi:10.1111/biom.13196>, and MaxCombo tests. Substantial flexibility on top of what is in the 'gsDesign' package is intended for selecting boundaries.
Author: Keaven Anderson [aut], Yilong Zhang [aut], Yujie Zhao [aut, cre], Jianxiao Yang [aut], Nan Xiao [aut], Amin Shirazi [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Xin Tong Li [ctb], Chenxiang Li [ctb], Hongtao Zhang [ctb], Yalin Zhu [ctb], [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

Diff between gsDesign2 versions 1.0.7 dated 2023-03-20 and 1.0.8 dated 2023-05-01

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Package r2rtf updated to version 1.0.2 with previous version 1.0.1 dated 2023-02-01

Title: Easily Create Production-Ready Rich Text Format (RTF) Table and Figure
Description: Create production-ready Rich Text Format (RTF) table and figure with flexible format.
Author: Yilong Zhang [aut, cre], Siruo Wang [aut], Simiao Ye [aut], Fansen Kong [aut], Brian Lang [aut], Nan Xiao [ctb], Madhusudhan Ginnaram [ctb], Ruchitbhai Patel [ctb], Huei-Ling Chen [ctb], Peikun Wu [ctb], Uday Preetham Palukuru [ctb], Daniel Woodie [c [...truncated...]
Maintainer: Yilong Zhang <elong0527@gmail.com>

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Package SightabilityModel updated to version 1.5.3 with previous version 1.5.2 dated 2023-02-17

Title: Wildlife Sightability Modeling
Description: Uses logistic regression to model the probability of detection as a function of covariates. This model is then used with observational survey data to estimate population size, while accounting for uncertain detection. See Steinhorst and Samuel (1989).
Author: Fieberg John [aut], Schwarz Carl James [aut, cre]
Maintainer: Schwarz Carl James <cschwarz.stat.sfu.ca@gmail.com>

Diff between SightabilityModel versions 1.5.2 dated 2023-02-17 and 1.5.3 dated 2023-05-01

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Package mxnorm updated to version 1.0.3 with previous version 1.0.2 dated 2022-06-01

Title: Apply Normalization Methods to Multiplexed Images
Description: Implements methods to normalize multiplexed imaging data, including statistical metrics and visualizations to quantify technical variation in this data type. Reference for methods listed here: Harris, C., Wrobel, J., & Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging Data. Journal of Open Source Software, 7(71), 4180, <doi:10.21105/joss.04180>.
Author: Coleman Harris [aut, cre]
Maintainer: Coleman Harris <coleman.r.harris@vanderbilt.edu>

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Package comorbidity updated to version 1.0.7 with previous version 1.0.5 dated 2022-09-26

Title: Computing Comorbidity Scores
Description: Computing comorbidity indices and scores such as the weighted Charlson score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>) using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>). Australian and Swedish modifications of the Charlson Comorbidity Index are available as well (Sundararajan, 2004 <doi:10.1016/j.jclinepi.2004.03.012> and Ludvigsson, 2021 <doi:10.2147/CLEP.S282475>), together with different weighting algorithms for both the Charlson and Elixhauser comorbidity scores.
Author: Alessandro Gasparini [aut, cre] , Hojjat Salmasian [ctb] , Jonathan Williman [ctb] , Sing Yi Chia [ctb] , Edmund Teo [ctb]
Maintainer: Alessandro Gasparini <alessandro@ellessenne.xyz>

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Package SyncRNG updated to version 1.3.2 with previous version 1.3.1 dated 2022-08-11

Title: A Synchronized Tausworthe RNG for R and Python
Description: Generate the same random numbers in R and Python.
Author: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>

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Package relevance updated to version 2.0 with previous version 1.3 dated 2021-08-10

Title: Calculate Relevance and Significance Measures
Description: Calculates relevance and significance values for simple models and for many types of regression models. These are introduced in 'Stahel, Werner A.' (2021) "Measuring Significance and Relevance instead of p-values." <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>. These notions are also applied to replication studies, as described in the manuscript 'Stahel, Werner A.' (2022) "'Replicability': Terminology, Measuring Success, and Strategy" available in the documentation.
Author: Werner A. Stahel
Maintainer: Werner A. Stahel <stahel@stat.math.ethz.ch>

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Package mlpack updated to version 4.1.0 with previous version 4.0.1 dated 2023-01-13

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2018) <doi:10.21105/joss.00726>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

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Package DEET updated to version 1.0.10 with previous version 1.0.8 dated 2023-01-05

Title: Differential Expression Enrichment Tool
Description: Abstract of Manuscript. Differential gene expression analysis using RNA sequencing (RNA-seq) data is a standard approach for making biological discoveries. Ongoing large-scale efforts to process and normalize publicly available gene expression data enable rapid and systematic reanalysis. While several powerful tools systematically process RNA-seq data, enabling their reanalysis, few resources systematically recompute differentially expressed genes (DEGs) generated from individual studies. We developed a robust differential expression analysis pipeline to recompute 3162 human DEG lists from The Cancer Genome Atlas, Genotype-Tissue Expression Consortium, and 142 studies within the Sequence Read Archive. After measuring the accuracy of the recomputed DEG lists, we built the Differential Expression Enrichment Tool (DEET), which enables users to interact with the recomputed DEG lists. DEET, available through CRAN and RShiny, systematically queries which of the recomputed DEG lists share sim [...truncated...]
Author: Dustin Sokolowski [aut, cre], Jedid Ahn [aut], Lauren Erdman [aut], Kai Ellis [aut], Huayun Hou [aut], Anna Goldenberg [aut], Michael Wilson [aut]
Maintainer: Dustin Sokolowski <dustin.sokolowski@sickkids.ca>

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Package cachem updated to version 1.0.8 with previous version 1.0.7 dated 2023-02-24

Title: Cache R Objects with Automatic Pruning
Description: Key-value stores with automatic pruning. Caches can limit either their total size or the age of the oldest object (or both), automatically pruning objects to maintain the constraints.
Author: Winston Chang [aut, cre], RStudio [cph, fnd]
Maintainer: Winston Chang <winston@rstudio.com>

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Package adabag updated to version 4.3 with previous version 4.2 dated 2018-01-19

Title: Applies Multiclass AdaBoost.M1, SAMME and Bagging
Description: It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation estimation of the error can be done. Since version 2.0 the function margins() is available to calculate the margins for these classifiers. Also a higher flexibility is achieved giving access to the rpart.control() argument of 'rpart'. Four important new features were introduced on version 3.0, AdaBoost-SAMME (Zhu et al., 2009) is implemented and a new function errorevol() shows the error of the ensembles as a function of the number of iterations. In addition, the ensembles can be pruned using the option 'newmfinal' in the predict.bagging() and predict.boosting() functions and the posterior probability of each class for observations can be obtained. Version 3.1 modifies the relative importance measure to take into account the gain of the Gin [...truncated...]
Author: Alfaro, Esteban; Gamez, Matias and Garcia, Noelia; with contributions from Li Guo
Maintainer: Esteban Alfaro <Esteban.Alfaro@uclm.es>

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Package waldo updated to version 0.5.0 with previous version 0.4.0 dated 2022-03-16

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>

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Package TreeDist updated to version 2.6.1 with previous version 2.6.0 dated 2023-02-20

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for calculating the median of sets of trees, and for computing the information content of trees and splits.
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package tidymodels updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-13

Title: Easily Install and Load the 'Tidymodels' Packages
Description: The tidy modeling "verse" is a collection of packages for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.
Author: Max Kuhn [aut, cre] , Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package seededlda updated to version 0.9.1 with previous version 0.9.0 dated 2023-04-30

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, forthcoming). Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> algorithms based on the GibbsLDA++ library.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package matrixTests updated to version 0.2.2 with previous version 0.2.1 dated 2023-04-20

Title: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Description: Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Author: Karolis Koncevicius [aut, cre]
Maintainer: Karolis Koncevicius <karolis.koncevicius@gmail.com>

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Package fitHeavyTail updated to version 0.2.0 with previous version 0.1.4 dated 2022-05-11

Title: Mean and Covariance Matrix Estimation under Heavy Tails
Description: Robust estimation methods for the mean vector, scatter matrix, and covariance matrix (if it exists) from data (possibly containing NAs) under multivariate heavy-tailed distributions such as angular Gaussian (via Tyler's method), Cauchy, and Student's t distributions. Additionally, a factor model structure can be specified for the covariance matrix. The latest revision also includes the multivariate skewed t distribution. The package is based on the papers: Sun, Babu, and Palomar (2014); Sun, Babu, and Palomar (2015); Liu and Rubin (1995); Zhou, Liu, Kumar, and Palomar (2019); Pascal, Ollila, and Palomar (2021).
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut], Xiwen Wang [aut], Frederic Pascal [ctb], Esa Ollila [ctb]
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>

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Package CHEMIST updated to version 0.1.5 with previous version 0.1.3 dated 2023-04-23

Title: Causal Inference with High-Dimensional Error-Prone Covariates and Misclassified Treatments
Description: We aim to deal with the average treatment effect (ATE), where the data are subject to high-dimensionality and measurement error. This package primarily contains two functions, which are used to generate artificial data and estimate ATE with high-dimensional and error-prone data accommodated.
Author: Wei-Hsin Hsu [aut, cre], Li-Pang Chen [aut]
Maintainer: Wei-Hsin Hsu <anson60214@gmail.com>

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Package cheatsheet updated to version 0.1.2 with previous version 0.1.1 dated 2023-01-29

Title: Download R Cheat Sheets Locally
Description: A simple package to grab cheat sheets and save them to your local computer.
Author: Brad Lindblad [aut, cre], Posit [cph]
Maintainer: Brad Lindblad <me@bradlindblad.com>

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Package bartcs updated to version 1.1.0 with previous version 1.0.0 dated 2023-03-09

Title: Bayesian Additive Regression Trees for Confounder Selection
Description: Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>

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Package tidytransit updated to version 1.5.1 with previous version 1.5.0 dated 2023-03-10

Title: Read, Validate, Analyze, and Map GTFS Feeds
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.
Author: Flavio Poletti [aut, cre], Daniel Herszenhut [aut] , Mark Padgham [aut], Tom Buckley [aut], Danton Noriega-Goodwin [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], [...truncated...]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package rintcal updated to version 0.6.0 with previous version 0.5.3 dated 2023-01-31

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves. Also provided are functions to copy the curves into memory, to plot the curves and their underlying data, to calibrate radiocarbon dates and to transform between different radiocarbon 'domains'.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package graphlayouts updated to version 1.0.0 with previous version 0.8.4 dated 2022-11-24

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package carat updated to version 2.2.0 with previous version 2.1.0 dated 2022-11-30

Title: Covariate-Adaptive Randomization for Clinical Trials
Description: Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria.
Author: Fuyi Tu [aut], Xiaoqing Ye [aut, cre], Wei Ma [aut, ths], Feifang Hu [aut, ths]
Maintainer: Xiaoqing Ye <ye_xiaoq@163.com>

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Package hdtg (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:

2022-08-06 0.2.0
2022-06-28 0.1.0

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Package ARTP2 (with last version 0.9.45) was removed from CRAN

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

2018-11-30 0.9.45
2018-09-11 0.9.44
2017-05-24 0.9.32
2016-07-11 0.9.30
2016-07-11 0.9.30.1
2016-02-11 0.9.21
2016-02-11 0.9.22

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Package generalCorr updated to version 1.2.3 with previous version 1.2.2 dated 2022-01-03

Title: Generalized Correlations, Causal Paths and Portfolio Selection
Description: Since causal paths from data are important for all sciences, the package provides many sophisticated functions. causeSummBlk() and causeSum2Blk() give easy-to-interpret causal paths. Let Z denote control variables and compare two flipped kernel regressions: X=f(Y, Z)+e1 and Y=g(X,Z)+e2. Our criterion Cr1 says that if |e1*Y|>|e2*X| then variation in X is more "exogenous or independent" than in Y and causal path is X to Y. Criterion Cr2 requires |e2|<|e1|. These inequalities between many absolute values are quantified by four orders of stochastic dominance. Our third criterion Cr3 for the causal path X to Y requires new generalized partial correlations to satisfy |r*(x|y,z)|< |r*(y|x,z)|. The function parcorVec() reports generalized partials between the first variable and all others. The package provides several R functions including get0outliers() for outlier detection, bigfp() for numerical integration by the trapezoidal rule, stochdom2() for stochastic dominance, pillar3D() [...truncated...]
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>

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 man/gmcmtxBlk.Rd                   |    2 
 man/gmcmtxZ.Rd                     |    2 
 man/gmcxy_np.Rd                    |    2 
 man/rstar.Rd                       |    2 
 74 files changed, 148 insertions(+), 143 deletions(-)

More information about generalCorr at CRAN
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Package eda4treeR updated to version 0.6.0 with previous version 0.5.0 dated 2023-04-23

Title: Experimental Design and Analysis for Tree Improvement
Description: Provides data sets and R Codes for E.R. Williams, C.E. Harwood and A.C. Matheson (2023). Experimental Design and Analysis for Tree Improvement, CSIRO Publishing.
Author: Muhammad Yaseen [aut, cre, cph] , Sami Ullah [aut, ctb], Kent M. Eskridge [aut, ctb], Emlyn Williams [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between eda4treeR versions 0.5.0 dated 2023-04-23 and 0.6.0 dated 2023-05-01

 DESCRIPTION            |    8 +-
 MD5                    |   76 +++++++++++++--------------
 NEWS.md                |    5 +
 R/DataExam2.1.R        |   62 +++++++++++-----------
 R/DataExam2.2.R        |    8 +-
 R/DataExam3.1.1.R      |    8 +-
 R/DataExam3.1.R        |    8 +-
 R/DataExam4.3.1.R      |    6 +-
 R/DataExam4.3.R        |    6 +-
 R/DataExam4.4.R        |    8 +-
 R/DataExam5.1.R        |    6 +-
 R/DataExam5.2.R        |   64 +++++++++++------------
 R/DataExam6.2.R        |   68 ++++++++++++------------
 R/DataExam8.1.R        |   18 +++---
 R/DataExam8.2.R        |   23 +++++---
 R/Exam4.3.1.R          |    2 
 R/Exam5.1.R            |  136 ++++++++++++++++++++++++++++++++-----------------
 R/Exam5.2.R            |  133 +++++++++++++++++++++++++++++------------------
 R/Exam6.2.R            |   17 +-----
 R/Exam8.1.R            |   12 ++--
 README.md              |   29 ++++------
 data/DataExam5.2.RData |binary
 man/DataExam2.1.Rd     |    6 +-
 man/DataExam2.2.Rd     |    6 +-
 man/DataExam3.1.1.Rd   |    8 +-
 man/DataExam3.1.Rd     |    8 +-
 man/DataExam4.3.1.Rd   |    6 +-
 man/DataExam4.3.Rd     |    6 +-
 man/DataExam4.4.Rd     |    8 +-
 man/DataExam5.1.Rd     |    6 +-
 man/DataExam5.2.Rd     |    6 +-
 man/DataExam6.2.Rd     |    6 +-
 man/DataExam8.1.Rd     |   18 +++---
 man/DataExam8.2.Rd     |   23 +++++---
 man/Exam4.3.1.Rd       |    2 
 man/Exam5.1.Rd         |  136 ++++++++++++++++++++++++++++++++-----------------
 man/Exam5.2.Rd         |  132 +++++++++++++++++++++++++++++------------------
 man/Exam6.2.Rd         |   17 +-----
 man/Exam8.1.Rd         |   12 ++--
 39 files changed, 628 insertions(+), 481 deletions(-)

More information about eda4treeR at CRAN
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