Wed, 17 Aug 2022

Package modelbased updated to version 0.8.5 with previous version 0.8.1 dated 2022-05-30

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), used in the computation of marginal means, contrast analysis and predictions.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between modelbased versions 0.8.1 dated 2022-05-30 and 0.8.5 dated 2022-08-17

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Package RABR updated to version 0.1.1 with previous version 0.1.0 dated 2021-05-26

Title: Simulations for Response Adaptive Block Randomization Design
Description: Conduct simulations of the Response Adaptive Block Randomization (RABR) design to evaluate its type I error rate, power and operating characteristics for binary and continuous endpoints. For more details of the proposed method, please refer to Zhan et al. (2021) <doi:10.1002/sim.9104>.
Author: Tianyu Zhan [aut, cre]
Maintainer: Tianyu Zhan <tianyu.zhan.stats@gmail.com>

Diff between RABR versions 0.1.0 dated 2021-05-26 and 0.1.1 dated 2022-08-17

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Package visR updated to version 0.3.1 with previous version 0.3.0 dated 2022-06-24

Title: Clinical Graphs and Tables Adhering to Graphical Principles
Description: To enable fit-for-purpose, reusable clinical and medical research focused visualizations and tables with sensible defaults and based on graphical principles as described in: "Vandemeulebroecke et al. (2018)" <doi:10.1002/pst.1912>, "Vandemeulebroecke et al. (2019)" <doi:10.1002/psp4.12455>, and "Morris et al. (2019)" <doi:10.1136/bmjopen-2019-030215>.
Author: Mark Baillie [aut, cre, cph], Diego Saldana [aut], Charlotta Fruechtenicht [aut], Marc Vandemeulebroecke [aut], Thanos Siadimas [aut], Pawel Kawski [aut], Steven Haesendonckx [aut], James Black [aut], Pelagia Alexandra Papadopoulou [aut], Tim Treis [ [...truncated...]
Maintainer: Mark Baillie <bailliem@gmail.com>

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Package tidytable updated to version 0.8.1 with previous version 0.8.0 dated 2022-06-11

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table' that is 'rlang' compatible, giving users the speed of 'data.table' with the clean syntax of the tidyverse.
Author: Mark Fairbanks [aut, cre], Abdessabour Moutik [ctb], Matt Carlson [ctb], Ivan Leung [ctb], Ross Kennedy [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package text2map updated to version 0.1.6 with previous version 0.1.5 dated 2022-05-23

Title: R Tools for Text Matrices, Embeddings, and Networks
Description: This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a 'Matrix' package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.
Author: Dustin Stoltz [aut, cre] , Marshall Taylor [aut]
Maintainer: Dustin Stoltz <maintainers@textmapping.com>

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Package statBasics updated to version 0.2.0 with previous version 0.1.0 dated 2022-03-16

Title: Basic Functions to Statistical Methods Course
Description: Basic statistical methods with some modifications for the course Statistical Methods at Federal University of Bahia (Brazil). All methods in this packages are explained in the text book of Montgomery and Runger (2010) <ISBN: 978-1-119-74635-5>.
Author: Gilberto Sassi [aut, cre], Carolina Costa Mota Paraiba [aut]
Maintainer: Gilberto Sassi <sassi.pereira.gilberto@gmail.com>

Diff between statBasics versions 0.1.0 dated 2022-03-16 and 0.2.0 dated 2022-08-17

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New package rebmix with initial version 2.14.2
Package: rebmix
Version: 2.14.2
Title: Finite Mixture Modeling, Clustering & Classification
Description: Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Depends: R (>= 2.10.0)
Imports: methods, stats, utils, graphics, grDevices
License: GPL (>= 2)
Author: Marko Nagode [aut, cre] , Branislav Panic [ctb] , Jernej Klemenc [ctb] , Simon Oman [ctb]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>
NeedsCompilation: yes
Packaged: 2022-08-17 09:30:16 UTC; PCNagodeM
Repository: CRAN
Date/Publication: 2022-08-17 22:30:02 UTC

More information about rebmix at CRAN
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Package provSummarizeR updated to version 1.5.1 with previous version 1.5 dated 2022-06-24

Title: Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands
Description: Reads the provenance collected by the 'rdtLite' or 'rdt' packages, or other tools providing compatible PROV JSON output, created by the execution of a script or a console session, and provides a human-readable summary identifying the input and output files, the scripts used (if any), errors and warnings produced, and the environment in which it was executed. It can also optionally package all the files into a zip file. The exact format of the PROV JSON file created by 'rdtLite' and 'rdt' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about 'rdtLite' and associated tools is available at <https://github.com/End-to-end-provenance/> and Lerner, Boose, and Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
Author: Emery Boose [cre], Barbara Lerner [aut], President and Fellows of Harvard College [cph], Trustees of Mount Holyoke College [cph]
Maintainer: Emery Boose <boose@fas.harvard.edu>

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Package PALMO updated to version 0.1.2 with previous version 0.1.1 dated 2022-05-31

Title: Identify Intra and Inter-Donor Variations in Bulk or Single Cell Longitudinal Dataset
Description: It is a platform for analyzing longitudinal data from bulk as well as single cell datasets. It allows to identify variations in molecular features within and across donors over longitudinal time points. The analysis can be done on bulk expression dataset without known cell type information or single cell with cell type/user-defined groups. It allows to infer stable and variable features in given donor and each cell type (or user defined group). The outlier analysis can be performed to identify technical/biological perturbed samples in donor/participant. Further, differential analysis can be performed to decipher time-wise changes in gene expression in a cell type.
Author: Suhas Vasaikar [aut, cre], Aarthi Talla [aut, ctb], Xiaojun Li [aut, ctb]
Maintainer: Suhas Vasaikar <suhas.vasaikar@alleninstitute.org>

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Package OpenImageR updated to version 1.2.4 with previous version 1.2.3 dated 2022-08-08

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on [...truncated...]
Author: Lampros Mouselimis [aut, cre] , Sight Machine [cph] , Johannes Buchner [cph] , Mohammad Haghighat [cph] , Radhakrishna Achanta [cph] ), Oleh Onyshchak [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package GGIRread updated to version 0.2.1 with previous version 0.2.0 dated 2022-08-15

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, binary data from GENEA devices (not for sale), and .cwa-format data from 'Axivity' <https://axivity.com>. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package datawizard updated to version 0.5.1 with previous version 0.5.0 dated 2022-08-07

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
Author: Indrajeet Patil [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Etienne Bacher [aut] , Remi Theriault [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package chillR updated to version 0.72.8 with previous version 0.72.7 dated 2022-01-11

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Lued [...truncated...]
Author: Eike Luedeling [aut, cre] , Eduardo Fernandez [aut]
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Package iapws updated to version 0.8 with previous version 0.7 dated 2022-08-10

Title: Formulations of the International Association for the Properties of Water and Steam
Description: Implementation of some of the formulations for the thermodynamic and transport properties of ordinary water and steam released by the International Association for the Properties of Water and Steam (IAPWS). More specifically, the releases referenced R6-95(2018), R7-97(2012), R12-08 and R15-11 at <http://iapws.org/release.html>.
Author: Jonathan Debove [aut, cre]
Maintainer: Jonathan Debove <jondebove@gmail.com>

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Package ecmwfr updated to version 1.4.0 with previous version 1.3.0 dated 2020-07-13

Title: Interface to 'ECMWF' and 'CDS' Data Web Services
Description: Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; <https://www.ecmwf.int/>) and Copernicus's Climate Data Store (CDS; <https://cds.climate.copernicus.eu>). Allows for easy downloads of weather forecasts and climate reanalysis data in R.
Author: Koen Hufkens [aut, cre] , Reto Stauffer [ctb] , Elio Campitelli [ctb] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package recommenderlab updated to version 1.0.2 with previous version 1.0.1 dated 2022-06-17

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Author: Michael Hahsler [aut, cre, cph] , Bregt Vereet [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package fasano.franceschini.test updated to version 2.0.1 with previous version 2.0.0 dated 2022-05-29

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 vein updated to version 0.9.9 with previous version 0.9.6 dated 2022-05-13

Title: Vehicular Emissions Inventories
Description: Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>. Before using VEIN you need to know the vehicular composition of your study area, in other words, the combination of of type of vehicles, size and fuel of the fleet. Then, it is recommended to start with the project to download a template to create a structure of directories and scripts.
Author: Sergio Ibarra-Espinosa [aut, cre] , Joao Bazzo [ctb]
Maintainer: Sergio Ibarra-Espinosa <zergioibarra@gmail.com>

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Package tangram.pipe updated to version 1.1.2 with previous version 1.1.1 dated 2022-04-20

Title: Row-by-Row Table Building
Description: Builds tables with customizable rows. Users can specify the type of data to use for each row, as well as how to handle missing data and the types of comparison tests to run on the table columns.
Author: Andrew Guide [aut, cre], Thomas Stewart [aut]
Maintainer: Andrew Guide <andrew.guide@vumc.org>

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Package GDINA updated to version 2.9.3 with previous version 2.8.8 dated 2022-01-20

Title: The Generalized DINA Model Framework
Description: A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided. For tutorials, please check Ma and de la Torre (2020) <DOI:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <DOI:10.1111/emip.12262>, Ma (2019) <DOI:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019).
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb], Zhehan Jiang [ctb]
Maintainer: Wenchao Ma <wenchao.ma@ua.edu>

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Package and updated to version 0.1.2 with previous version 0.1.1 dated 2022-07-18

Title: Construct Natural-Language Lists with Internationalization
Description: Construct language-aware lists. Make "and"-separated and "or"-separated lists that automatically conform to the user's language settings.
Author: Alexander Rossell Hayes [aut, cre, cph] , Unicode, Inc. [dtc]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package highfrequency updated to version 0.9.5 with previous version 0.9.4 dated 2022-05-03

Title: Tools for Highfrequency Data Analysis
Description: Provide functionality to manage, clean and match highfrequency trades and quotes data, calculate various liquidity measures, estimate and forecast volatility, detect price jumps and investigate microstructure noise and intraday periodicity. A detailed vignette can be found in the paper "Analyzing intraday financial data in R: The highfrequency package" by Boudt, Kleen, and Sjoerup (2022, <doi:10.2139/ssrn.3917548>).
Author: Kris Boudt [aut, cre] , Jonathan Cornelissen [aut], Scott Payseur [aut], Giang Nguyen [ctb], Onno Kleen [aut] , Emil Sjoerup [aut]
Maintainer: Kris Boudt <kris.boudt@ugent.be>

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Package readxl updated to version 1.4.1 with previous version 1.4.0 dated 2022-03-28

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , RStudio [cph, fnd] , Marcin Kalicinski [ctb, cph] , Komarov Valery [ctb, cph] , Christophe Leitienne [ctb, cph] , Bob Colbert [ctb, cph] , David Hoerl [ctb, cph] , Evan Miller [ctb, cph]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package provGraphR updated to version 1.0.1 with previous version 1.0 dated 2020-01-20

Title: Creates Adjacency Matrices for Lineage Searches
Description: Creates and manages a provenance graph corresponding to the provenance created by the 'rdtLite' package, which collects provenance from R scripts. 'rdtLite' is available on CRAN. The provenance format is an extension of the W3C PROV JSON format (<https://www.w3.org/Submission/2013/SUBM-prov-json-20130424/>). The extended JSON provenance format is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>.
Author: Orenna Brand [aut], Joseph Wonsil [aut], Emery Boose [aut], Barbara Lerner [cre]
Maintainer: Barbara Lerner <blerner@mtholyoke.edu>

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Package PracTools updated to version 1.2.8 with previous version 1.2.7 dated 2022-06-13

Title: Tools for Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter, Practical Tools for Designing and Weighting Survey Samples (2nd edition, 2018). Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter
Maintainer: Richard Valliant <valliant@umich.edu>

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Package mHMMbayes updated to version 0.2.0 with previous version 0.1.1 dated 2019-10-30

Title: Multilevel Hidden Markov Models Using Bayesian Estimation
Description: An implementation of the multilevel (also known as mixed or random effects) hidden Markov model using Bayesian estimation in R. The multilevel hidden Markov model (HMM) is a generalization of the well-known hidden Markov model, for the latter see Rabiner (1989) <doi:10.1109/5.18626>. The multilevel HMM is tailored to accommodate (intense) longitudinal data of multiple individuals simultaneously, see e.g., de Haan-Rietdijk et al. <doi:10.1080/00273171.2017.1370364>. Using a multilevel framework, we allow for heterogeneity in the model parameters (transition probability matrix and conditional distribution), while estimating one overall HMM. The model can be fitted on multivariate data with a categorical distribution, and include individual level covariates (allowing for e.g., group comparisons on model parameters). Parameters are estimated using Bayesian estimation utilizing the forward-backward recursion within a hybrid Metropolis within Gibbs sampler. The package also inclu [...truncated...]
Author: Emmeke Aarts [aut, cre], Sebastian Mildiner Moraga [ctb]
Maintainer: Emmeke Aarts <e.aarts@uu.nl>

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Package rapbase updated to version 1.23.0 with previous version 1.10.0 dated 2019-08-07

Title: Base Functions and Resources for Rapporteket
Description: Provide common functions and resources for registry specific R-packages at Rapporteket <https://rapporteket.github.io/rapporteket/articles/short_introduction.html>. This package is relevant for developers of packages/registries at Rapporteket.
Author: Are Edvardsen [aut, cre] , Kevin Otto Thon [aut]
Maintainer: Are Edvardsen <biorakel@gmail.com>

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Package netgwas updated to version 1.14 with previous version 1.13 dated 2020-11-17

Title: Network-Based Genome Wide Association Studies
Description: A multi-core R package that contains a set of tools based on copula graphical models for accomplishing the three interrelated goals in genetics and genomics in an unified way: (1) linkage map construction, (2) constructing linkage disequilibrium networks, and (3) exploring high-dimensional genotype-phenotype network and genotype- phenotype-environment interactions networks. The 'netgwas' package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is considerably larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The 'netgwas' implements the methodological developments in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287> and Behrouzi and Wit (2017) <doi:10.1093/bioinformatics/bty777>.
Author: Pariya Behrouzi [aut, cre] , Ernst C. Wit [ctb]
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between netgwas versions 1.13 dated 2020-11-17 and 1.14 dated 2022-08-17

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Package naive updated to version 1.2.0 with previous version 1.1.0 dated 2022-08-15

Title: Empirical Extrapolation of Time Feature Patterns
Description: An application for the empirical extrapolation of time features selecting and summarizing the most relevant patterns in time sequences.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

Diff between naive versions 1.1.0 dated 2022-08-15 and 1.2.0 dated 2022-08-17

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Package gtreg updated to version 0.1.1 with previous version 0.1.0 dated 2022-08-10

Title: Regulatory Tables for Clinical Research
Description: Creates tables suitable for regulatory agency submission by leveraging the 'gtsummary' package as the back end. Tables can be exported to HTML, Word, PDF and more. Highly customized outputs are available by utilizing existing styling functions from 'gtsummary' as well as custom options designed for regulatory tables.
Author: Shannon Pileggi [aut, cre, cph] , Daniel D. Sjoberg [aut]
Maintainer: Shannon Pileggi <shannon.pileggi@gmail.com>

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Package sotu updated to version 1.0.4 with previous version 1.0.2 dated 2017-05-22

Title: United States Presidential State of the Union Addresses
Description: The President of the United States is constitutionally obligated to provide a report known as the 'State of the Union'. The report summarizes the current challenges facing the country and the president's upcoming legislative agenda. While historically the State of the Union was often a written document, in recent decades it has always taken the form of an oral address to a joint session of the United States Congress. This package provides the raw text from every such address with the intention of being used for meaningful examples of text analysis in R. The corpus is well suited to the task as it is historically important, includes material intended to be read and material intended to be spoken, and it falls in the public domain. As the corpus spans over two centuries it is also a good test of how well various methods hold up to the idiosyncrasies of historical texts. Associated data about each address, such as the year, president, party, and format, are also included.
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>

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Package matlab2r updated to version 1.2.0 with previous version 1.1.1 dated 2022-05-13

Title: Translation Layer from MATLAB to R
Description: Allows users familiar with MATLAB to use MATLAB-named functions in R. Several basic MATLAB functions are written in this package to mimic the behavior of their original counterparts, with more to come as this package grows.
Author: Waldir Leoncio [aut, cre]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

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Package kerasR updated to version 0.8.1 with previous version 0.6.1 dated 2017-06-01

Title: R Interface to the Keras Deep Learning Library
Description: Provides a consistent interface to the 'Keras' Deep Learning Library directly from within R. 'Keras' provides specifications for describing dense neural networks, convolution neural networks (CNN) and recurrent neural networks (RNN) running on top of either 'TensorFlow' or 'Theano'. Type conversions between Python and R are automatically handled correctly, even when the default choices would otherwise lead to errors. Includes complete R documentation and many working examples.
Author: Taylor Arnold [aut, cre], Andrie de Vries [aut]
Maintainer: Taylor Arnold <tarnold2@richmond.edu>

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Package coreNLP updated to version 0.4-3 with previous version 0.4-2 dated 2016-09-21

Title: Wrappers Around Stanford CoreNLP Tools
Description: Provides a minimal interface for applying annotators from the 'Stanford CoreNLP' java library. Methods are provided for tasks such as tokenisation, part of speech tagging, lemmatisation, named entity recognition, coreference detection and sentiment analysis.
Author: Taylor Arnold, Lauren Tilton
Maintainer: Taylor Arnold <tarnold2@richmond.edu>

Diff between coreNLP versions 0.4-2 dated 2016-09-21 and 0.4-3 dated 2022-08-17

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Package coalitions updated to version 0.6.24 with previous version 0.6.23 dated 2022-05-02

Title: Bayesian "Now-Cast" Estimation of Event Probabilities in Multi-Party Democracies
Description: An implementation of a Bayesian framework for the opinion poll based estimation of event probabilities in multi-party electoral systems (Bender and Bauer (2018) <doi:10.21105/joss.00606>).
Author: Andreas Bender [aut, cre] , Alexander Bauer [aut] , Rebekka Schade [ctb]
Maintainer: Andreas Bender <bender.at.R@gmail.com>

Diff between coalitions versions 0.6.23 dated 2022-05-02 and 0.6.24 dated 2022-08-17

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New package tLagInterim with initial version 1.0
Package: tLagInterim
Title: Interim Monitoring of Clinical Trials with Time-Lagged Outcome
Version: 1.0
Author: Shannon T. Holloway [aut, cre], Marie Davidian [aut], Anastasios Tsiatis [aut]
Description: Implements inverse and augmented inverse probability weighted estimators for common treatment effect parameters at an interim analysis with time-lagged outcome that may not be available for all enrolled subjects. Produces estimators, standard errors, and information that can be used to compute stopping boundaries using software that assumes that the estimators/test statistics have independent increments. Tsiatis, A. A. and Davidian, M., (2022) <arXiv:2204.10739> .
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0), survival
Imports: R.utils
NeedsCompilation: no
Packaged: 2022-08-16 11:59:06 UTC; 19194
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-17 13:00:02 UTC

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Package httr updated to version 1.4.4 with previous version 1.4.3 dated 2022-05-03

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], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between httr versions 1.4.3 dated 2022-05-03 and 1.4.4 dated 2022-08-17

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Package cornet updated to version 0.0.6 with previous version 0.0.5 dated 2021-04-19

Title: Elastic Net with Dichotomised Outcomes
Description: Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2022). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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New package babynamesIL with initial version 0.0.1
Package: babynamesIL
Title: Israel Baby Names 1948-2021
Version: 0.0.1
Description: Israeli baby names provided by Israel's Central Bureau of Statistics. The package contains only names used for at least 5 children in at least one gender and sector ("Jewish", "Muslim", "Christian", "Druze" and "Other"). Data was downloaded from: <https://www.cbs.gov.il/he/publications/LochutTlushim/2020/%D7%A9%D7%9E%D7%95%D7%AA-%D7%A4%D7%A8%D7%98%D7%99%D7%99%D7%9D.xlsx>.
License: CC0
URL: https://github.com/aviezerl/babynamesIL
Imports: tibble
Suggests: testthat (>= 3.0.0), dplyr, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Language: en-US
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-08-16 11:41:18 UTC; aviezerl
Author: Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2022-08-17 13:00:09 UTC

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Package tramvs (with last version 0.0-1) was removed from CRAN

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

2022-07-16 0.0-1

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Package MADPop (with last version 1.1.2) was removed from CRAN

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

2018-11-08 1.1.2
2018-10-27 1.1.1
2017-01-18 1.1

Permanent link
Package tweenr updated to version 2.0.0 with previous version 1.0.2 dated 2021-03-23

Title: Interpolate Data for Smooth Animations
Description: In order to create smooth animation between states of data, tweening is necessary. This package provides a range of functions for creating tweened data that can be used as basis for animation. Furthermore it adds a number of vectorized interpolaters for common R data types such as numeric, date and colour.
Author: Thomas Lin Pedersen [aut, cre]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package mvSLOUCH updated to version 2.7.5 with previous version 2.7.4 dated 2022-05-04

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history. See K. Bartoszek, J, Pienaar, P. Mostad, S. Andersson, T. F. Hansen (2012) <doi:10.1016/j.jtbi.2012.08.005>. The suggested PCMBaseCpp package (which significantly speeds up the likelihood calculations) can be obtained from <https://github.com/venelin/PCMBaseCpp/>.
Author: Krzysztof Bartoszek [cre, aut], John Clarke [ctb], Jesualdo Fuentes-Gonzalez [ctb], Jason Pienaar [ctb]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package UComp updated to version 2.2.3 with previous version 2.2.2 dated 2021-07-06

Title: Automatic Unobserved Components Models
Description: Comprehensive analysis and forecasting of univariate time series using automatic unobserved components models and algorithms. Pedregal, DJ (2022) <doi:10.18637/jss.v103.i09>, Harvey, AC (1989) <doi:10.1017/CBO9781107049994>. Pedregal, DJ and Young PC (2002) <doi:10.1002/9780470996430>. Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>.
Author: Diego J. Pedregal [aut, cre]
Maintainer: Diego J. Pedregal <Diego.Pedregal@uclm.es>

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Package text.alignment updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-08

Title: Text Alignment with Smith-Waterman
Description: Find similarities between texts using the Smith-Waterman algorithm. The algorithm performs local sequence alignment and determines similar regions between two strings. The Smith-Waterman algorithm is explained in the paper: "Identification of common molecular subsequences" by T.F.Smith and M.S.Waterman (1981), available at <doi:10.1016/0022-2836(81)90087-5>. This package implements the same logic for sequences of words and letters instead of molecular sequences.
Author: Jan Wijffels [aut, cre, cph] , Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph], Lincoln Mullen [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package recogito updated to version 0.2.1 with previous version 0.1.2 dated 2022-08-08

Title: Interactive Annotation of Text and Images
Description: Annotate text with entities and the relations between them. Annotate areas of interest in images with your labels. Providing 'htmlwidgets' bindings to the 'recogito' <https://github.com/recogito/recogito-js> and 'annotorious' <https://github.com/recogito/annotorious> libraries.
Author: Jan Wijffels [aut, cre, cph], Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph], Pelagios Network [cph] , CodePlex Foundation [cph] , OpenSeadragon contributors [cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package PMCMRplus updated to version 1.9.6 with previous version 1.9.5 dated 2022-07-11

Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
Description: For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehr [...truncated...]
Author: Thorsten Pohlert [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package image.binarization updated to version 0.1.3 with previous version 0.1.2 dated 2021-07-05

Title: Binarize Images for Enhancing Optical Character Recognition
Description: Improve optical character recognition by binarizing images. The package focuses primarily on local adaptive thresholding algorithms. In English, this means that it has the ability to turn a color or gray scale image into a black and white image. This is particularly useful as a preprocessing step for optical character recognition or handwritten text recognition.
Author: Jan Wijffels [aut, cre, cph] , Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph] , Brandon M. Petty [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package clam updated to version 2.5.0 with previous version 2.4.0 dated 2021-08-15

Title: Classical Age-Depth Modelling of Cores from Deposits
Description: Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010). <doi:10.1016/j.quageo.2010.01.002>.
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [ctb] , Judith Esquivel Vazquez [ctb], Simon Goring [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between clam versions 2.4.0 dated 2021-08-15 and 2.5.0 dated 2022-08-17

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Package asremlPlus updated to version 4.3.36 with previous version 4.3-31 dated 2021-12-06

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Also used to display, in tables and graphs, predictions obtained using any model fitting function and to explore differences between predictions. The content falls into the following natural groupings: (i) Data, (ii) Object manipulation functions, (iii) Model modification functions, (iv) Model testing functions, (v) Model diagnostics functions, (vi) Prediction production and presentation functions, (vii) Response transformation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). A history of the fitting of a sequence of models is kept in a data frame. Procedures are available for choosing models that conform to the hierarchy or marginality principle and for displaying predictions for significant terms in tables and graphs. The 'asreml' package provides a computationally efficient algorithm for fitting mixed models using Resi [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package sabre updated to version 0.4.3 with previous version 0.4.0 dated 2021-06-03

Title: Spatial Association Between Regionalizations
Description: Calculates a degree of spatial association between regionalizations or categorical maps using the information-theoretical V-measure (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>). It also offers an R implementation of the MapCurve method (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).
Author: Jakub Nowosad [aut, cre] , Tomasz Stepinski [aut], Space Informatics Lab [cph]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package rsimsum updated to version 0.11.3 with previous version 0.11.2 dated 2022-03-22

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (White I.R., 2010 <https://www.stata-journal.com/article.html?article=st0200>), further extending it with additional performance measures and functionality.
Author: Alessandro Gasparini [aut, cre] , Ian R. White [aut]
Maintainer: Alessandro Gasparini <alessandro@ellessenne.xyz>

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Package leaderCluster updated to version 1.3 with previous version 1.2 dated 2014-12-15

Title: Leader Clustering Algorithm
Description: The leader clustering algorithm provides a means for clustering a set of data points. Unlike many other clustering algorithms it does not require the user to specify the number of clusters, but instead requires the approximate radius of a cluster as its primary tuning parameter. The package provides a fast implementation of this algorithm in n-dimensions using Lp-distances (with special cases for p=1,2, and infinity) as well as for spatial data using the Haversine formula, which takes latitude/longitude pairs as inputs and clusters based on great circle distances.
Author: Taylor B. Arnold
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>

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Package ggimg updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-06

Title: Graphics Layers for Plotting Image Data with 'ggplot2'
Description: Provides two new layer types for displaying image data as layers within the Grammar of Graphics framework. Displays images using either a rectangle interface, with a fixed bounding box, or a point interface using a central point and general size parameter. Images can be given as local JPEG or PNG files, external resources, or as a list column containing raster image data.
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>

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Package emayili updated to version 0.7.11 with previous version 0.7.10 dated 2022-04-28

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre, cph], Matt Dennis [ctb], Antoine Bichat [ctb] , Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb], Swechhya Bista [ctb], Colin Fay [ctb]
Maintainer: Andrew B. Collier <andrew@fathomdata.dev>

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Package reproducible updated to version 1.2.10 with previous version 1.2.8 dated 2021-09-26

Title: A Set of Tools that Enhance Reproducibility Beyond Package Management
Description: Collection of high-level, machine- and OS-independent tools for making deeply reproducible and reusable content in R. The two workhorse functions are Cache and prepInputs; these allow for: nested caching, robust to environments, and objects with environments (like functions); and data retrieval and processing in continuous workflow environments. In all cases, efforts are made to make the first and subsequent calls of functions have the same result, but vastly faster at subsequent times by way of checksums and digesting. Several features are still under active development, including cloud storage of cached objects, allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Tati Micheletti [ctb] , Ceres Barros [ctb] , Ian Eddy [ctb] , Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package tweedie updated to version 2.3.5 with previous version 2.3.3 dated 2021-01-20

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi:10.1007/s11222-005-4070-y>) and the Fourier inversion (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

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New package sparseR with initial version 0.2.0
Package: sparseR
Title: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
Version: 0.2.0
Description: An implementation of ranked sparsity methods, including penalized regression methods such as the sparsity-ranked lasso, its non-convex alternatives, and elastic net, as well as the sparsity-ranked Bayesian Information Criterion. As described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7>, ranked sparsity is a philosophy with methods primarily useful for variable selection in the presence of prior informational asymmetry, which occurs in the context of trying to perform variable selection in the presence of interactions and/or polynomials. Ultimately, this package attempts to facilitate dealing with cumbersome interactions and polynomials while not avoiding them entirely. Typically, models selected under ranked sparsity principles will also be more transparent, having fewer falsely selected interactions and polynomials than other methods.
Suggests: survival, knitr, rmarkdown, kableExtra, testthat, covr, modeldata, MASS
Imports: ncvreg, rlang, magrittr, dplyr, recipes (>= 1.0.0)
Depends: R (>= 3.5)
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://petersonr.github.io/sparseR/, https://github.com/petersonR/sparseR/
Date: 2022-08-15
NeedsCompilation: no
Packaged: 2022-08-15 22:37:16 UTC; rpterson
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2022-08-17 07:10:02 UTC

More information about sparseR at CRAN
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Package reprex updated to version 2.0.2 with previous version 2.0.1 dated 2021-08-05

Title: Prepare Reproducible Example Code via the Clipboard
Description: Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Author: Jennifer Bryan [aut, cre] , Jim Hester [aut] , David Robinson [aut], Hadley Wickham [aut] , Christophe Dervieux [aut] , RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package poorman updated to version 0.2.6 with previous version 0.2.5 dated 2021-03-28

Title: A Poor Man's Dependency Free Recreation of 'dplyr'
Description: A replication of key functionality from 'dplyr' and the wider 'tidyverse' using only 'base'.
Author: Nathan Eastwood [aut, cre], Etienne Bacher [ctb]
Maintainer: Nathan Eastwood <nathan.eastwood@icloud.com>

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Package NetLogoR updated to version 0.3.11 with previous version 0.3.10 dated 2022-02-18

Title: Build and Run Spatially Explicit Agent-Based Models
Description: Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky, 1999 <http://ccl.northwestern.edu/netlogo/>) and is a translation in R of the structure and functions of 'NetLogo'. 'NetLogoR' provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment. This package allows benefiting of the fast and easy coding phase from the highly developed 'NetLogo' framework, coupled with the versatility, power and massive resources of the R software. Examples of three models (Ants <http://ccl.northwestern.edu/netlogo/models/Ants>, Butterfly (Railsback and Grimm, 2012) and Wolf-Sheep-Predation <http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>) written using 'NetLogoR' are available. The 'NetLogo' code of the original version of these models is provided alongside. A programming guide inspired from the 'NetLogo' [...truncated...]
Author: Sarah Bauduin [aut] , Eliot J B McIntire [aut, cre] , Alex M Chubaty [aut] , Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between NetLogoR versions 0.3.10 dated 2022-02-18 and 0.3.11 dated 2022-08-17

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New package gompertztrunc with initial version 0.1.0
Package: gompertztrunc
Title: Conducting Maximum Likelihood Estimation with Truncated Mortality Data
Version: 0.1.0
Maintainer: Maria Osborne <mariaosborne@berkeley.edu>
Description: Estimates hazard ratios and mortality differentials for doubly-truncated data without population denominators.
License: GPL (>= 3)
URL: https://caseybreen.github.io/gompertztrunc/
Depends: R (>= 3.5.0)
Imports: broom, cowplot, data.table, dplyr, flexsurv, ggplot2, ggsci, grid, magrittr, modelr, rlang, stats, stringr, tibble, tidyr
Suggests: knitr, rmarkdown, socviz, tidyverse
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-08-09 02:23:55 UTC; mariaosborne
Author: Casey Breen [aut] , Maria Osborne [aut, cre], Joshua R. Goldstein [aut]
Repository: CRAN
Date/Publication: 2022-08-17 07:10:06 UTC

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Package GET updated to version 0.3-1 with previous version 0.2-5 dated 2022-01-14

Title: Global Envelopes
Description: Implementation of global envelopes for a set of general d-dimensional vectors T in various applications. A 100(1-alpha)% global envelope is a band bounded by two vectors such that the probability that T falls outside this envelope in any of the d points is equal to alpha. Global means that the probability is controlled simultaneously for all the d elements of the vectors. The global envelopes can be used for graphical Monte Carlo and permutation tests where the test statistic is a multivariate vector or function (e.g. goodness-of-fit testing for point patterns and random sets, functional analysis of variance, functional general linear model, n-sample test of correspondence of distribution functions), for central regions of functional or multivariate data (e.g. outlier detection, functional boxplot) and for global confidence and prediction bands (e.g. confidence band in polynomial regression, Bayesian posterior prediction). See Myllymäki and Mrkvička (2020) <arXiv:1911.06583>, Myl [...truncated...]
Author: Mari Myllymaeki [aut, cre], Tomas Mrkvička [aut], Pavel Grabarnik [ctb], Ute Hahn [ctb], Mikko Kuronen [ctb], Michael Rost [ctb], Henri Seijo [ctb]
Maintainer: Mari Myllymaeki <mari.myllymaki@luke.fi>

Diff between GET versions 0.2-5 dated 2022-01-14 and 0.3-1 dated 2022-08-17

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New package FRI with initial version 1.0
Package: FRI
Title: Relative Importance of Main and Interaction Effects
Version: 1.0
Description: Computes relative importance of main and interaction effects. Also, sum of the modified generalized weights is computed. Ibrahim et al. (2022) <doi:10.1134/S1064229322080051>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: neuralnet, RSNNS, stats, ggplot2, forcats
NeedsCompilation: no
Packaged: 2022-08-16 09:33:04 UTC; Omar
Author: Omar Maghawry Ibrahim [aut, cre]
Maintainer: Omar Maghawry Ibrahim <dromarnrc@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-17 07:20:02 UTC

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Package evabic updated to version 0.1.1 with previous version 0.0.3 dated 2020-06-12

Title: Evaluation of Binary Classifiers
Description: Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.
Author: Antoine Bichat [aut, cre]
Maintainer: Antoine Bichat <antoine.bichat@proton.me>

Diff between evabic versions 0.0.3 dated 2020-06-12 and 0.1.1 dated 2022-08-17

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Package dyads updated to version 1.2.1 with previous version 1.1.4 dated 2021-04-16

Title: Dyadic Network Analysis
Description: Contains functions for the MCMC simulation of dyadic network models j2 (Zijlstra, 2017, <doi:10.1080/0022250X.2017.1387858>) and p2 (Van Duijn, Snijders & Zijlstra, 2004, <doi: 10.1046/j.0039-0402.2003.00258.x>), the multilevel p2 model (Zijlstra, Van Duijn & Snijders (2009) <doi: 10.1348/000711007X255336>), and the bidirectional (multilevel) counterpart of the the multilevel p2 model as described in Zijlstra, Van Duijn & Snijders (2009) <doi: 10.1348/000711007X255336>, the (multilevel) b2 model.
Author: Bonne J.H. Zijlstra <B.J.H.Zijlstra@uva.nl>
Maintainer: Bonne J.H. Zijlstra <B.J.H.Zijlstra@uva.nl>

Diff between dyads versions 1.1.4 dated 2021-04-16 and 1.2.1 dated 2022-08-17

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New package TRexSelector with initial version 0.0.1
Package: TRexSelector
Title: T-Rex Selector: High-Dimensional Variable Selection & FDR Control
Version: 0.0.1
Date: 2022-08-15
Description: Performs fast variable selection in high-dimensional settings while controlling the false discovery rate (FDR) at a user-defined target level. The package is based on the paper Machkour, Muma, and Palomar (2021) <arXiv:2110.06048>.
Maintainer: Jasin Machkour <jasin.machkour@tu-darmstadt.de>
URL: https://github.com/jasinmachkour/trex, https://arxiv.org/abs/2110.06048
BugReports: https://github.com/jasinmachkour/trex/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, ggplot2, patchwork, testthat (>= 3.0.0)
Imports: MASS, stats, tlars, parallel, doParallel, foreach, doRNG, methods, glmnet
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-15 20:36:06 UTC; phd
Author: Jasin Machkour [aut, cre], Simon Tien [aut], Daniel P. Palomar [aut], Michael Muma [aut]
Repository: CRAN
Date/Publication: 2022-08-17 06:50:06 UTC

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New package SIRthresholded with initial version 1.0.0
Package: SIRthresholded
Title: Sliced Inverse Regression with Thresholding
Version: 1.0.0
Author: Clement Weinreich [aut, cre], Jerome Saracco [aut], Hadrien Lorenzo [aut]
Maintainer: Clement Weinreich <clement@weinreich.fr>
License: GPL (>= 2.0)
Description: Implements a thresholded version of the Sliced Inverse Regression method, which allows to do variable selection.
Encoding: UTF-8
Imports: strucchange
Suggests: knitr, rmarkdown, mvtnorm
VignetteBuilder: knitr
URL: https://clement-w.github.io/SIRthresholded/
NeedsCompilation: no
Packaged: 2022-08-15 18:49:27 UTC; clement
Repository: CRAN
Date/Publication: 2022-08-17 06:50:09 UTC

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New package scpoisson with initial version 0.0.1
Package: scpoisson
Title: Single Cell Poisson Probability Paradigm
Version: 0.0.1
Description: Useful to visualize the Poissoneity (an independent Poisson statistical framework, where each RNA measurement for each cell comes from its own independent Poisson distribution) of Unique Molecular Identifier (UMI) based single cell RNA sequencing (scRNA-seq) data, and explore cell clustering based on model departure as a novel data representation.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: renv, testthat (>= 3.0.0), vdiffr, rmarkdown, knitr, qpdf
VignetteBuilder: knitr
Imports: ggplot2, glmpca, Seurat, magrittr, dplyr, tidyr, purrr, Matrix, Rdpack, SeuratObject, WGCNA, broom, stats, methods, matrixStats
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-08-15 18:12:26 UTC; yue
Author: Yue Pan [aut, cre], Justin Landis [aut] , Dirk Dittmer [aut], James S. Marron [aut], Di Wu [aut]
Maintainer: Yue Pan <yuep027@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-17 06:50:02 UTC

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New package scatteR with initial version 0.0.1
Package: scatteR
Title: Generate Instance Space Based on Scagnostics
Version: 0.0.1
Maintainer: Janith C. Wanniarachchi <janithcwanni@gmail.com>
Description: Generate bivariate data based on scatterplot features defined through scagnostics. Scagnostics is an exploratory graphical tool that defines nine features of a scatterplot based on the characteristics of three geometric graphs defined on the scatterplot. The exact calculation of these measurements are based on Wilkinson, L., Anand, A., & Grossman, R. (2005) <doi:10.1109/INFVIS.2005.1532142>. Set the required values for the scagnostic measurement type and the number of points that are needed to generate a bivariate dataset that gives the expected scagnostic measurements.
SystemRequirements: Java 8 or higher
License: MIT + file LICENSE
Encoding: UTF-8
Imports: scagnostics, GenSA, stats, rJava
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-08-15 17:50:25 UTC; janith
Author: Janith C. Wanniarachchi [aut, cre], Thiyanga S. Talagala [aut]
Repository: CRAN
Date/Publication: 2022-08-17 06:40:01 UTC

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Package RSQLite updated to version 2.2.16 with previous version 2.2.15 dated 2022-07-17

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RSQLite versions 2.2.15 dated 2022-07-17 and 2.2.16 dated 2022-08-17

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Package robmed updated to version 1.0.0 with previous version 0.11.0 dated 2022-05-23

Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via a fast-and-robust bootstrap test, as well as various other methods. Details on the implementation and code examples can be found in Alfons, Ates, and Groenen (2022) <doi:10.18637/jss.v103.i13>.
Author: Andreas Alfons [aut, cre] , Nufer Y. Ates [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

Diff between robmed versions 0.11.0 dated 2022-05-23 and 1.0.0 dated 2022-08-17

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Package optimLanduse updated to version 1.1.0 with previous version 1.0.0 dated 2022-04-08

Title: Robust Land-Use Optimization
Description: Robust multi-criteria land-allocation optimization that explicitly accounts for the uncertainty of the indicators in the objective function. Solves the problem of allocating scarce land to various land-use options with regard to multiple, coequal indicators. The method aims to find the land allocation that represents the indicator composition with the best possible trade-off under uncertainty. optimLanduse includes the actual optimization procedure as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the post-hoc calculation of the portfolio performance as presented by Gosling et al. (2020) <doi:10.1016/j.jenvman.2020.110248>.
Author: Kai Husmann [aut, cre] , Volker von Groß [aut] , Jasper Fuchs [aut] , Kai Boedeker [aut] , Goettingen University - Forest Economics and Sustainable Land-use Planning [cph, fnd], TUM School of Life Sciences - Forest Management [cph, fnd]
Maintainer: Kai Husmann <kai.husmann@uni-goettingen.de>

Diff between optimLanduse versions 1.0.0 dated 2022-04-08 and 1.1.0 dated 2022-08-17

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Package nlraa updated to version 1.5 with previous version 1.2 dated 2022-02-14

Title: Nonlinear Regression for Agricultural Applications
Description: Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003) <doi:10.1093/aob/mcg029>. There are several other functions with breakpoints (e.g. linear-plateau, plateau-linear, exponential-plateau, plateau-exponential, quadratic-plateau, plateau-quadratic and bilinear), a non-rectangular hyperbola and a bell-shaped curve. Twenty eight (28) new self-start (SS) functions in total. This package also supports the publication 'Nonlinear regression Models and applications in agricultural research' by Archontoulis and Miguez (2015) <doi:10.2134/agronj2012.0506>, a book chapter with similar material <doi:10.2134/appliedstatistics.2016.0003.c15> and a publication by Oddi et. al. (2019) in Ecology and Evolution <doi:10.1002/ece3.5543>. The function 'nlsLMList' uses 'nlsLM' for fitting, but it is otherwise almost identical to 'nlme::nlsList'.In addition, this release of the package [...truncated...]
Author: Fernando Miguez [aut, cre] , Jose Pinheiro [ctb, cph] , Douglas Bates [ctb, cph] , R-core [ctb, cph]
Maintainer: Fernando Miguez <femiguez@iastate.edu>

Diff between nlraa versions 1.2 dated 2022-02-14 and 1.5 dated 2022-08-17

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Package GLMcat updated to version 0.2.5 with previous version 0.2.4 dated 2021-09-23

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
Author: Lorena Leon [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena Leon <ylorenaleonv@gmail.com>

Diff between GLMcat versions 0.2.4 dated 2021-09-23 and 0.2.5 dated 2022-08-17

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New package countland with initial version 0.1.1
Package: countland
Title: Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq
Version: 0.1.1
Description: A set of functions for applying a restricted linear algebra to the analysis of count-based data. See the accompanying preprint manuscript: "Normalizing need not be the norm: count-based math for analyzing single-cell data" Church et al (2022) <doi:10.1101/2022.06.01.494334> This tool is specifically designed to analyze count matrices from single cell RNA sequencing assays. The tools implement several count-based approaches for standard steps in single-cell RNA-seq analysis, including scoring genes and cells, comparing cells and clustering, calculating differential gene expression, and several methods for rank reduction. There are many opportunities for further optimization that may prove useful in the analysis of other data. We provide the source code freely available at <https://github.com/shchurch/countland> and encourage users and developers to fork the code for their own purposes.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods, rlang, Matrix, ggplot2
Suggests: tidyverse, viridis, gridExtra, igraph, RSpectra, matrixTests, rdist, stats, Seurat, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-08-15 17:21:01 UTC; samuelchurch
Author: Church Samuel H. [aut, cre]
Maintainer: Church Samuel H. <samuelhchurch@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-17 06:40:06 UTC

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New package CASCORE with initial version 0.1.0
Package: CASCORE
Title: Covariate Assisted Spectral Clustering on Ratios of Eigenvectors
Version: 0.1.0
Author: Yaofang Hu [aut, cre], Wanjie Wang [aut]
Maintainer: Yaofang Hu <yaofangh@smu.edu>
Description: Functions for the novel algorithm CASCORE, proposed to detect the latent community structure in graphs with node covariates. The models we can handle include covariate assisted degree corrected stochastic block model (CADCSBM). CASCORE allows for the disagreement between the community structure revealed in the adjacency information and the community structure revealed in the covariate information. More details are in the reference paper: Yaofang Hu and Wanjie Wang (2022) <arXiv:2208.00257>. This package also includes other classical community detection algorithms that are compared to CASCORE in our paper, such as Spectral Clustering On Ratios-of Eigenvectors (SCORE), normalized PCA, ordinary PCA and covariate-assisted spectral clustering (CASC).
Imports: stats, pracma, igraph
License: GPL-2
Encoding: UTF-8
URL: https://arxiv.org/abs/2006.03284
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-08-15 18:25:32 UTC; yaofang
Repository: CRAN
Date/Publication: 2022-08-17 06:40:09 UTC

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