Fri, 14 Apr 2023

Package WVPlots updated to version 1.3.3 with previous version 1.3.2 dated 2021-01-10

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 1.3.2 dated 2021-01-10 and 1.3.3 dated 2023-04-14

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 R/BinaryYScatterPlot.R             |    6 
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 R/PRPlot.R                         |   11 
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More information about WVPlots at CRAN
Permanent link

Package themis updated to version 1.0.1 with previous version 1.0.0 dated 2022-07-02

Title: Extra Recipes Steps for Dealing with Unbalanced Data
Description: A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
Author: Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between themis versions 1.0.0 dated 2022-07-02 and 1.0.1 dated 2023-04-14

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Package textrecipes updated to version 1.0.3 with previous version 1.0.2 dated 2022-12-21

Title: Extra 'Recipes' for Text Processing
Description: Converting text to numerical features requires specifically created procedures, which are implemented as steps according to the 'recipes' package. These steps allows for tokenization, filtering, counting (tf and tfidf) and feature hashing.
Author: Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between textrecipes versions 1.0.2 dated 2022-12-21 and 1.0.3 dated 2023-04-14

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Package slurmR updated to version 0.5-3 with previous version 0.5-2 dated 2022-06-22

Title: A Lightweight Wrapper for 'Slurm'
Description: 'Slurm', Simple Linux Utility for Resource Management <https://slurm.schedmd.com/>, is a popular 'Linux' based software used to schedule jobs in 'HPC' (High Performance Computing) clusters. This R package provides a specialized lightweight wrapper of 'Slurm' with a syntax similar to that found in the 'parallel' R package. The package also includes a method for creating socket cluster objects spanning multiple nodes that can be used with the 'parallel' package.
Author: George Vega Yon [aut, cre] , Paul Marjoram [ctb, ths] , National Cancer Institute [fnd] , Michael Schubert [rev] , Michel Lang [rev]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between slurmR versions 0.5-2 dated 2022-06-22 and 0.5-3 dated 2023-04-14

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Package qqconf updated to version 1.3.2 with previous version 1.3.1 dated 2023-01-09

Title: Creates Simultaneous Testing Bands for QQ-Plots
Description: Provides functionality for creating Quantile-Quantile (QQ) and Probability-Probability (PP) plots with simultaneous testing bands to asses significance of sample deviation from a reference distribution <doi:10.18637/jss.v106.i10>.
Author: Eric Weine [aut, cre], Mary Sara McPeek [aut], Abney Mark [aut]
Maintainer: Eric Weine <ericweine15@gmail.com>

Diff between qqconf versions 1.3.1 dated 2023-01-09 and 1.3.2 dated 2023-04-14

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Package pmc updated to version 1.0.5 with previous version 1.0.4 dated 2021-01-07

Title: Phylogenetic Monte Carlo
Description: Monte Carlo based model choice for applied phylogenetics of continuous traits. Method described in Carl Boettiger, Graham Coop, Peter Ralph (2012) Is your phylogeny informative? Measuring the power of comparative methods, Evolution 66 (7) 2240-51. <doi:10.1111/j.1558-5646.2011.01574.x>.
Author: Carl Boettiger [aut, cre]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between pmc versions 1.0.4 dated 2021-01-07 and 1.0.5 dated 2023-04-14

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Package nanonext updated to version 0.8.2 with previous version 0.8.1 dated 2023-03-27

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library providing high-performance scalability protocols, a cross-platform standard for messaging and communications. Serves as a concurrency framework for building distributed applications, utilising 'aio' objects which resolve automatically upon completion of asynchronous operations. Implements synchronisation primitives, allowing R to wait upon events being signalled by concurrent messaging threads.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package modEvA updated to version 3.9.3 with previous version 3.9 dated 2023-01-13

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: Barbosa A.M., Brown J.A., Jimenez-Valverde A., Real R.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package mikropml updated to version 1.6.0 with previous version 1.5.0 dated 2023-01-16

Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Author: Beguem Topcuoğlu [aut] , Zena Lapp [aut] , Kelly Sovacool [aut, cre] , Evan Snitkin [aut] , Jenna Wiens [aut] , Patrick Schloss [aut] , Nick Lesniak [ctb] , Courtney Armour [ctb] , Sarah Lucas [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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Package formatters updated to version 0.4.1 with previous version 0.4.0 dated 2023-03-02

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut, cre], Adrian Waddell [aut], Davide Garolini [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package embed updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-02

Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737> can be used. There are also functions for dimension reduction and other approaches.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package googleway updated to version 2.7.7 with previous version 2.7.6 dated 2022-01-24

Title: Accesses Google Maps APIs to Retrieve Data and Plot Maps
Description: Provides a mechanism to plot a 'Google Map' from 'R' and overlay it with shapes and markers. Also provides access to 'Google Maps' APIs, including places, directions, roads, distances, geocoding, elevation and timezone.
Author: David Cooley [aut, cre], Paulo Barcelos [ctb] , Rstudio [ctb]
Maintainer: David Cooley <dcooley@symbolix.com.au>

Diff between googleway versions 2.7.6 dated 2022-01-24 and 2.7.7 dated 2023-04-14

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Package eph updated to version 0.6.0 with previous version 0.5.1 dated 2022-08-29

Title: Argentina's Permanent Household Survey Data and Manipulation Utilities
Description: Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.
Author: Diego Kozlowski [aut] , Pablo Tiscornia [aut], Guido Weksler [aut], Natsumi Shokida [aut], German Rosati [aut] , Juan Gabriel Juara [ctb], Carolina Pradier [aut, cre]
Maintainer: Carolina Pradier <carolinapradier@gmail.com>

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Package devEMF updated to version 4.3-1 with previous version 4.3 dated 2023-04-05

Title: EMF Graphics Output Device
Description: Output graphics to EMF+/EMF.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

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Package SiPhyNetwork updated to version 1.1.0 with previous version 1.0.1 dated 2022-09-29

Title: A Phylogenetic Simulator for Reticulate Evolution
Description: A simulator for reticulate evolution under a birth-death-hybridization process. Here the birth-death process is extended to consider reticulate Evolution by allowing hybridization events to occur. The general purpose simulator allows the modeling of three different reticulate patterns: lineage generative hybridization, lineage neutral hybridization, and lineage degenerative hybridization. Users can also specify hybridization events to be dependent on a trait value or genetic distance. We also extend some phylogenetic tree utility and plotting functions for networks. We allow two different stopping conditions: simulated to a fixed time or number of taxa. When simulating to a fixed number of taxa, the user can simulate under the Generalized Sampling Approach that properly simulates phylogenies when assuming a uniform prior on the root age.
Author: Joshua Justison [aut, cre, cph], Claudia Solis-Lemus [aut, cph], Tracy A. Heath [aut, cph], Klaus Schliep [cph] , Emmanuel Paradis [cph] , Daniel Lawson [cph]
Maintainer: Joshua Justison <justisnojo@gmail.com>

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Package nptest updated to version 1.1 with previous version 1.0-3 dated 2021-03-01

Title: Nonparametric Bootstrap and Permutation Tests
Description: Robust nonparametric bootstrap and permutation tests for location, correlation, and regression problems, as described in Helwig (2019a) <doi:10.1002/wics.1457> and Helwig (2019b) <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests are supported. For each problem, exact tests and Monte Carlo approximations are available. Five different nonparametric bootstrap confidence intervals are implemented. Parallel computing is implemented via the 'parallel' package.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between nptest versions 1.0-3 dated 2021-03-01 and 1.1 dated 2023-04-14

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New package fusedMGM with initial version 0.1.0.0
Package: fusedMGM
Title: Implementation of Fused MGM to Infer 2-Class Networks
Version: 0.1.0.0
Maintainer: Jaehyun Park <J.31.Park@gmail.com>
License: MIT + file LICENSE
Imports: fastDummies, parallel, bigmemory, gplots
Description: Implementation of fused Markov graphical model (FMGM; Park and Won, 2022). The functions include building mixed graphical model (MGM) objects from data, inference of networks using FMGM, stable edge-specific penalty selection (StEPS) for the determination of penalization parameters, and the visualization. For details, please refer to Park and Won (2022) <arXiv:2208.14959>.
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-04-14 03:46:13 UTC; J31Pa
Author: Jaehyun Park [aut, cre, cph] , Sungho Won [ths]
Repository: CRAN
Date/Publication: 2023-04-14 19:20:02 UTC

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New package bioregion with initial version 1.0.0
Package: bioregion
Title: Comparison of Bioregionalisation Methods
Version: 1.0.0
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ape, bipartite, cluster, data.table, dbscan, dynamicTreeCut, fastcluster, ggplot2, grDevices, igraph, mathjaxr, Matrix, Rdpack, rlang, rmarkdown, segmented, sf, stats, tidyr, utils
LinkingTo: Rcpp
Suggests: ade4, dplyr, knitr, microbenchmark, rnaturalearth, rnaturalearthdata, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/bioRgeo/bioregion, https://bioRgeo.github.io/bioregion/
BugReports: https://github.com/bioRgeo/bioregion/issues
NeedsCompilation: yes
Packaged: 2023-04-14 08:46:07 UTC; maxime
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>
Repository: CRAN
Date/Publication: 2023-04-14 19:30:02 UTC

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Package forrel updated to version 1.5.1 with previous version 1.5.0 dated 2023-02-28

Title: Forensic Pedigree Analysis and Relatedness Inference
Description: Forensic applications of pedigree analysis, including likelihood ratios for relationship testing, general relatedness inference, marker simulation, and power analysis. General computation of exclusion powers is based on Egeland et al. (2014) <doi:10.1016/j.fsigen.2013.05.001>. Several functions deal specifically with family reunion cases, implementing and developing ideas from Kling et al. (2017) <doi:10.1016/j.fsigen.2017.08.006>. A novelty of 'forrel' is the ability to model background inbreeding in forensic pedigree computations. This can have significant impact in applications, as exemplified in Vigeland and Egeland (2019) <doi:10.1016/j.fsigss.2019.10.175>. 'forrel' is part of the ped suite, a collection of packages for pedigree analysis. In particular, 'forrel' imports 'pedtools' for creating and manipulating pedigrees and markers, 'pedprobr' for likelihood computations, and 'pedmut' for mutation modelling. Pedigree data may be created from scratch, or loaded [...truncated...]
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between forrel versions 1.5.0 dated 2023-02-28 and 1.5.1 dated 2023-04-14

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New package CCMMR with initial version 0.1
Package: CCMMR
Title: Minimization of the Convex Clustering Loss Function
Version: 0.1
Date: 2023-04-13
Maintainer: Daniel Touw <touw@ese.eur.nl>
Description: Implements the convex clustering through majorization-minimization (CCMM) algorithm described in Touw, Groenen, and Terada (2022) <arXiv:2211.01877> to perform minimization of the convex clustering loss function.
License: GPL (>= 3)
URL: https://github.com/djwtouw/CCMMR/
BugReports: https://github.com/djwtouw/CCMMR/issues/
Imports: RANN (>= 2.6.1), Rcpp (>= 1.0.7), methods (>= 4.1.0), graphics (>= 4.1.0), r2r (>= 0.1.1),
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Depends: R (>= 4.1), stats (>= 4.1)
Packaged: 2023-04-13 17:10:44 UTC; djwto
Author: Daniel Touw [aut, cre] , Patrick Groenen [aut] , Yoshikazu Terada [aut]
Repository: CRAN
Date/Publication: 2023-04-14 18:30:06 UTC

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Package toxEval updated to version 1.3.0 with previous version 1.2.0 dated 2020-10-09

Title: Exploring Biological Relevance of Environmental Chemistry Observations
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays.
Author: Laura DeCicco [aut, cre] , Steven Corsi [aut] , Daniel Villeneuve [aut] , Brett Blackwell [aut] , Gerald Ankley [aut] , Alison Appling [rev] , Dalma Martinovic [rev]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package fuzzySim updated to version 4.9.9 with previous version 4.9.8 dated 2023-03-06

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting absences under specified criteria, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially described in Barbosa (2015) <doi:10.1111/2041-210X.1237 [...truncated...]
Author: Barbosa A.M.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between fuzzySim versions 4.9.8 dated 2023-03-06 and 4.9.9 dated 2023-04-14

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Package pspatreg updated to version 1.0.9 with previous version 1.0.7 dated 2023-02-27

Title: Spatial and Spatio-Temporal Semiparametric Regression Models with Spatial Lags
Description: Estimation and inference of spatial and spatio-temporal semiparametric models including spatial or spatio-temporal non-parametric trends, parametric and non-parametric covariates and, possibly, a spatial lag for the dependent variable and temporal correlation in the noise. The spatio-temporal trend can be decomposed in ANOVA way including main and interaction functional terms. Use of SAP algorithm to estimate the spatial or spatio-temporal trend and non-parametric covariates. The methodology of these models can be found in next references Basile, R. et al. (2014), <doi:10.1016/j.jedc.2014.06.011>; Rodriguez-Alvarez, M.X. et al. (2015) <doi:10.1007/s11222-014-9464-2> and, particularly referred to the focus of the package, Minguez, R., Basile, R. and Durban, M. (2020) <doi:10.1007/s10260-019-00492-8>.
Author: Roman Minguez [aut, cre] , Roberto Basile [aut] , Maria Durban [aut] , Gonzalo Espana-Heredia [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

Diff between pspatreg versions 1.0.7 dated 2023-02-27 and 1.0.9 dated 2023-04-14

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New package healthyR.ts with initial version 0.2.8
Package: healthyR.ts
Title: The Time Series Modeling Companion to 'healthyR'
Version: 0.2.8
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/spsanderson/healthyR.ts
BugReports: https://github.com/spsanderson/healthyR.ts/issues
Imports: magrittr, rlang (>= 0.1.2), tibble, timetk, tidyr, dplyr, purrr, ggplot2, lubridate, plotly, recipes, modeltime, cowplot, graphics, forcats, stringi, parsnip, workflowsets, hardhat
Suggests: knitr, rmarkdown, roxygen2, scales, rsample, healthyR.ai, stringr, forecast, tidymodels, glue, xts, zoo, TSA, tune, dials, workflows, tidyselect
VignetteBuilder: knitr
Depends: R (>= 3.3)
NeedsCompilation: no
Packaged: 2023-04-14 13:29:54 UTC; steve
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-14 16:40:02 UTC

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Package geodata updated to version 0.5-8 with previous version 0.5-3 dated 2022-12-01

Title: Download Geographic Data
Description: Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Author: Robert J. Hijmans [cre, aut], Marcia Barbosa [ctb], Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between geodata versions 0.5-3 dated 2022-12-01 and 0.5-8 dated 2023-04-14

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More information about geodata at CRAN
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New package finnts with initial version 0.2.4
Package: finnts
Title: Microsoft Finance Time Series Forecasting Framework
Version: 0.2.4
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
URL: https://microsoft.github.io/finnts/, https://github.com/microsoft/finnts
BugReports: https://github.com/microsoft/finnts/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, Cubist, dials, doParallel, dplyr, earth, foreach, generics, glmnet, gtools, hts, kernlab, lubridate, magrittr, methods, modeltime.resample, parallel, parsnip, plyr, purrr, recipes, rsample, rules, stringr, tibble, tidyr, tidyselect, timetk, tune, workflows
Suggests: knitr, reactable, rmarkdown, sparklyr, testthat (>= 3.0.0)
Depends: R (>= 3.6.0), modeltime
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-13 16:53:01 UTC; mitokic
Author: Mike Tokic [aut, cre] , Aadharsh Kannan [aut]
Maintainer: Mike Tokic <mftokic@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-14 16:40:08 UTC

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Package raceland updated to version 1.2.1 with previous version 1.1.2 dated 2022-02-11

Title: Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography
Description: Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography (Dmowska, Stepinski, and Nowosad (2020) <doi:10.1016/j.apgeog.2020.102239>). It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.
Author: Jakub Nowosad [aut, cre] , Anna Dmowska [aut], Tomasz Stepinski [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between raceland versions 1.1.2 dated 2022-02-11 and 1.2.1 dated 2023-04-14

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Package TensorPreAve updated to version 1.1.0 with previous version 0.1.1 dated 2022-11-08

Title: Rank and Factor Loadings Estimation in Time Series Tensor Factor Models
Description: A set of functions to estimate rank and factor loadings of time series tensor factor models. A tensor is a multidimensional array. To analyze high-dimensional tensor time series, factor model is a major dimension reduction tool. 'TensorPreAve' provides functions to estimate the rank of core tensors and factor loading spaces of tensor time series. More specifically, a pre-averaging method that accumulates information from tensor fibres is used to estimate the factor loading spaces. The estimated directions corresponding to the strongest factors are then used for projecting the data for a potentially improved re-estimation of the factor loading spaces themselves. A new rank estimation method is also implemented to utilizes correlation information from the projected data. See Chen and Lam (2023) <arXiv:2208.04012> for more details.
Author: Weilin Chen [aut, cre]
Maintainer: Weilin Chen <w.chen56@lse.ac.uk>

Diff between TensorPreAve versions 0.1.1 dated 2022-11-08 and 1.1.0 dated 2023-04-14

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Package spatstat.linnet updated to version 3.1-0 with previous version 3.0-6 dated 2023-02-21

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.linnet versions 3.0-6 dated 2023-02-21 and 3.1-0 dated 2023-04-14

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New package Rediscover with initial version 0.3.2
Package: Rediscover
Title: Identify Mutually Exclusive Mutations
Version: 0.3.2
Author: Juan A. Ferrer-Bonsoms, Laura Jareno, and Angel Rubio
Maintainer: Juan A. Ferrer-Bonsoms <jafhernandez@tecnun.es>
Description: An optimized method for identifying mutually exclusive genomic events. Its main contribution is a statistical analysis based on the Poisson-Binomial distribution that takes into account that some samples are more mutated than others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels. (2016) "A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence." Genome biology 17.1 : 1-17. <doi:10.1186/s13059-016-1114-x>]. The mutations matrices are sparse matrices. The method developed takes advantage of the advantages of this type of matrix to save time and computing resources.
Depends: R (>= 4.0), Matrix, PoissonBinomial, ShiftConvolvePoibin, utils, matrixStats
Imports: maftools, data.table, parallel, RColorBrewer, methods
Suggests: knitr, rmarkdown, RUnit, BiocStyle, BiocGenerics, dplyr, kableExtra, magick, stats, qvalue
License: Artistic-2.0
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-14 10:35:54 UTC; jafhernandez
Repository: CRAN
Date/Publication: 2023-04-14 12:10:06 UTC

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New package rb3 with initial version 0.0.10
Package: rb3
Title: Download and Parse Public Data Released by B3 Exchange
Description: Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.
Version: 0.0.10
License: MIT + file LICENSE
Depends: R (>= 4.1.0),
Imports: bizdays, stringr, proto, cli, readr, dplyr, rvest, httr, jsonlite, purrr, ascii, rlang, methods, yaml, digest, base64enc, XML, readxl, tidyr
Suggests: testthat, knitr, DT, miniUI, shiny, xtable, rmarkdown, ggplot2, covr, scales, magrittr, tibble, withr, vcr (>= 0.6.0)
BugReports: https://github.com/ropensci/rb3/issues
URL: https://github.com/ropensci/rb3, http://ropensci.github.io/rb3/
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-14 10:51:59 UTC; wilso
Author: Wilson Freitas [aut, cre], Marcelo Perlin [aut]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-14 12:10:02 UTC

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Package LMMsolver updated to version 1.0.5 with previous version 1.0.4 dated 2022-12-15

Title: Linear Mixed Model Solver
Description: An efficient and flexible system to solve sparse mixed model equations, for models that are often used in statistical genetics. Important applications are the use of splines to model spatial or temporal trends. Another application area is mixed model QTL analysis for multiparental populations, allowing for heterogeneous residual variance and random design matrices with Identity-By-Descent (IBD) probabilities.
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between LMMsolver versions 1.0.4 dated 2022-12-15 and 1.0.5 dated 2023-04-14

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Package rspm updated to version 0.4.0 with previous version 0.3.1 dated 2023-03-26

Title: 'RStudio' Package Manager
Description: Enables binary package installations on Linux distributions. Provides access to 'RStudio' public repositories at <https://packagemanager.rstudio.com>, and transparent management of system requirements without administrative privileges. Currently supported distributions are 'CentOS' / 'RHEL' 7-9, and several 'RHEL' derivatives ('Rocky Linux', 'AlmaLinux', 'Oracle Linux', and 'Amazon Linux' 2), 'openSUSE' / 'SLES' 15.3-4, and 'Ubuntu' 18.04, 20.04 and 22.04.
Author: Inaki Ucar [aut, cph, cre] , R Core Team [aut, cph]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

Diff between rspm versions 0.3.1 dated 2023-03-26 and 0.4.0 dated 2023-04-14

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New package lpacf with initial version 1.0
Package: lpacf
Title: Local Partial Autocorrelation Function Estimation for Locally Stationary Wavelet Processes
Version: 1.0
Date: 2023-04-13
Author: Rebecca Killick [aut, cre], Guy Nason [aut], Marina Knight [aut], Matt Nunes [aut], Idris Eckley [ctb]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>
Description: Provides the method for computing the local partial autocorrelation function for locally stationary wavelet time series from Killick, Knight, Nason, Eckley (2020) <doi:10.1214/20-EJS1748>.
Depends: R(>= 3.0), stats, locits, wavethresh, parallel, methods
License: GPL-2
NeedsCompilation: no
Packaged: 2023-04-13 11:56:46 UTC; killick
Repository: CRAN
Date/Publication: 2023-04-14 11:30:02 UTC

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Package invacost updated to version 1.1-5 with previous version 1.1-4 dated 2022-02-05

Title: Analyse Biological Invasion Costs with the 'InvaCost' Database
Description: Provides an up-to-date version of the 'InvaCost' database (<doi:10.6084/m9.figshare.12668570>) in R, and several functions to analyse the costs of invasive alien species (<doi:10.1111/2041-210X.13929>).
Author: Boris Leroy [cre, aut], Andrew Kramer [aut], Anne-Charlotte Vaissiere [ctb], Christophe Diagne [ctb]
Maintainer: Boris Leroy <leroy.boris@gmail.com>

Diff between invacost versions 1.1-4 dated 2022-02-05 and 1.1-5 dated 2023-04-14

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Package gdalcubes updated to version 0.6.4 with previous version 0.6.3 dated 2023-01-19

Title: Earth Observation Data Cubes from Satellite Image Collections
Description: Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Author: Marius Appel [aut, cre] , Edzer Pebesma [ctb] , Roger Bivand [ctb], Jeroen Ooms [ctb] , Lewis Van Winkle [cph], Ole Christian Eidheim [cph], Howard Hinnant [cph], Adrian Colomitchi [cph], Florian Dang [cph], Paul Thompson [cph], Tomasz Kaminski [cph] [...truncated...]
Maintainer: Marius Appel <marius.appel@uni-muenster.de>

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Package mlt updated to version 1.4-6 with previous version 1.4-5 dated 2023-03-09

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package kernelboot updated to version 0.1.10 with previous version 0.1.9 dated 2022-09-04

Title: Smoothed Bootstrap and Random Generation from Kernel Densities
Description: Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+kernelboot@gmail.com>

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Package wrGraph updated to version 1.3.3 with previous version 1.3.2 dated 2023-01-25

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package torchvision updated to version 0.5.1 with previous version 0.5.0 dated 2023-03-15

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.
Author: Daniel Falbel [aut, cre], Christophe Regouby [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package scam updated to version 1.2-14 with previous version 1.2-13 dated 2022-09-09

Title: Shape Constrained Additive Models
Description: Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

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Package QuickJSR updated to version 1.0.3 with previous version 1.0.2 dated 2023-04-13

Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine is bundled entirely within the package, requiring no external system dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , Fabrice Bellard [ctb, cph] , Charlie Gordon [ctb, cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between QuickJSR versions 1.0.2 dated 2023-04-13 and 1.0.3 dated 2023-04-14

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Package partykit updated to version 1.2-20 with previous version 1.2-19 dated 2023-03-19

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package igoR updated to version 0.1.5 with previous version 0.1.4 dated 2022-08-13

Title: Intergovernmental Organizations Database
Description: Tools to extract information from the Intergovernmental Organizations ('IGO') Database , version 3, provided by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020). Version 3 includes information from 1815 to 2014.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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New package GMMAT with initial version 1.4.0
Package: GMMAT
Version: 1.4.0
Date: 2023-04-12
Title: Generalized Linear Mixed Model Association Tests
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
License: GPL (>= 3)
Copyright: See COPYRIGHTS for details.
Imports: Rcpp, SeqArray, SeqVarTools, CompQuadForm, foreach, parallel, Matrix, methods, data.table
Suggests: doMC, testthat
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 3.2.0)
Packaged: 2023-04-12 06:43:15 UTC; hchen
Author: Han Chen [aut, cre], Matthew Conomos [aut], Duy Pham [aut], Arthor Gilly [ctb], Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , The R Core Team [ctb, cph] , The R Foundation [cph] , Eric Biggers [ctb, cph] , Tino Reichardt [ctb, cph] library), [...truncated...]
Maintainer: Han Chen <han.chen.2@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2023-04-14 09:10:05 UTC

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Package enrichR updated to version 3.2 with previous version 3.1 dated 2022-08-10

Title: Provides an R Interface to 'Enrichr'
Description: Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based tool for analysing gene sets and returns any enrichment of common annotated biological features. Quoting from their website 'Enrichment analysis is a computational method for inferring knowledge about an input gene set by comparing it to annotated gene sets representing prior biological knowledge.' See <https://maayanlab.cloud/Enrichr/> for further details.
Author: Wajid Jawaid [aut, cre]
Maintainer: Wajid Jawaid <wj241@alumni.cam.ac.uk>

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Package DPQ updated to version 0.5-4 with previous version 0.5-3 dated 2022-12-01

Title: Density, Probability, Quantile ('DPQ') Computations
Description: Computations for approximations and alternatives for the 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions for probability distributions in R. Primary focus is on (central and non-central) beta, gamma and related distributions such as the chi-squared, F, and t. -- This is for the use of researchers in these numerical approximation implementations, notably for my own use in order to improve standard R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.
Author: Martin Maechler [aut, cre] , Morten Welinder [ctb] ), Wolfgang Viechtbauer [ctb] , 2002), Ross Ihaka [ctb] , Marius Hofert [ctb] , lssum), R-core [ctb] , R Foundation [cph]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package clusterSim updated to version 0.51-2 with previous version 0.51-1 dated 2023-04-03

Title: Searching for Optimal Clustering Procedure for a Data Set
Description: Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas (metric data, interval-valued symbolic data), data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data). (MILLIGAN, G.W., COOPER, M.C. (1985) <doi:10.1007/BF02294245>, HUBERT, L., ARABIE, P. (1985) <doi:10.1007%2FBF01908075>, RAND, W.M. (1971) <doi:10.1080/01621459.1971.10482356>, JAJUGA, K., WALESIAK, M. (2000) <doi:10.1007/978-3-642-57280-7_11>, MILLIGAN, G.W., COOPER, M.C. (1988) <doi:10.1007/BF01897163>, JAJUGA, K., WALESIAK, M., BAK, A. (2003) <doi:10.1007/978-3-642-55721-7_12>, DAVIES, D.L., BOULDIN, D.W. (1979) &l [...truncated...]
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl>, Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

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Package tidystats updated to version 0.5.2 with previous version 0.5.1 dated 2022-01-04

Title: Save Output of Statistical Tests
Description: Save the output of statistical tests in an organized file that can be shared with others or used to report statistics in scientific papers.
Author: Willem Sleegers
Maintainer: Willem Sleegers <w.sleegers@me.com>

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New package TensorComplete with initial version 0.2.0
Package: TensorComplete
Title: Tensor Noise Reduction and Completion Methods
Version: 0.2.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Imports: pracma, methods, utils, tensorregress, MASS
Description: Efficient algorithms for tensor noise reduction and completion. This package includes a suite of parametric and nonparametric tools for estimating tensor signals from noisy, possibly incomplete observations. The methods allow a broad range of data types, including continuous, binary, and ordinal-valued tensor entries. The algorithms employ the alternating optimization. The detailed algorithm description can be found in the following three references.
URL: Chanwoo Lee and Miaoyan Wang. Tensor denoising and completion based on ordinal observations. ICML, 2020. http://proceedings.mlr.press/v119/lee20i.html Chanwoo Lee and Miaoyan Wang. Beyond the Signs: Nonparametric tensor completion via sign series. NeurIPS, 2021. https://papers.nips.cc/paper/2021/hash/b60c5ab647a27045b462934977ccad9a-Abstract.html Chanwoo Lee, Lexin Li, Hao Helen Zhang, and Miaoyan Wang. Nonparametric trace regression in high dimensions via sign series representation. 2021. https://arxiv.org/abs/2105.01783
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-13 03:26:51 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2023-04-14 08:50:11 UTC

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New package surrosurv with initial version 1.1.26
Package: surrosurv
Title: Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses
Version: 1.1.26
Maintainer: Dan Chaltiel <dan.chaltiel@gustaveroussy.fr>
Description: Provides functions for the evaluation of surrogate endpoints when both the surrogate and the true endpoint are failure time variables. The approaches implemented are: (1) the two-step approach (Burzykowski et al, 2001) <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett, Hougaard) at the first step and either a linear regression of log-hazard ratios at the second step (either adjusted or not for measurement error); (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo et al, 2017 <DOI:10.1177/0962280217718582>).
Depends: R (>= 3.5.0)
Imports: copula, eha, grDevices, lme4, MASS, Matrix, msm, mvmeta, optimx, parallel, parfm, stats, survival
License: GPL-2
URL: https://github.com/Oncostat/surrosurv
BugReports: https://github.com/Oncostat/surrosurv/issues/
VignetteBuilder: R.rsp
Suggests: R.rsp, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-13 07:54:04 UTC; Dan
Author: Federico Rotolo [aut] , Xavier Paoletti [ctb], Marc Buyse [ctb], Tomasz Burzykowski [ctb], Stefan Michiels [ctb] , Dan Chaltiel [cre]
Repository: CRAN
Date/Publication: 2023-04-14 08:50:05 UTC

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Package statgenHTP updated to version 1.0.6.1 with previous version 1.0.6 dated 2022-12-13

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://eppn2020.plant-phenotyping.eu/>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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New package RGBM with initial version 1.0-11
Package: RGBM
Title: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
Version: 1.0-11
Date: 2023-04-13
Author: Raghvendra Mall [aut, cre], Khalid Kunji [aut], Melissa O'Neill [ctb]
Maintainer: Raghvendra Mall <raghvendra5688@gmail.com>
Repository: CRAN
Description: Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).
License: GPL (>= 3)
LazyLoad: yes
Depends: foreach, plyr, doParallel
NeedsCompilation: yes
Packaged: 2023-04-13 05:20:19 UTC; raghvendra
Date/Publication: 2023-04-14 08:50:14 UTC

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Package quantregGrowth updated to version 1.6-1 with previous version 1.6-0 dated 2023-04-04

Title: Non-Crossing Additive Regression Quantiles and Non-Parametric Growth Charts
Description: Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. Random intercepts and variable selection are allowed via the lasso penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1>, and also <doi:10.13140/RG.2.2.12924.85122> or <doi:10.13140/RG.2.2.29306.21445> some code examples.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package geonetwork updated to version 0.5.0 with previous version 0.4.1 dated 2021-09-03

Title: Geographic Networks
Description: Provides classes and methods for handling networks or graphs whose nodes are geographical (i.e. locations in the globe). The functionality includes the creation of objects of class geonetwork as a graph with node coordinates, the computation of network measures, the support of spatial operations (projection to different Coordinate Reference Systems, handling of bounding boxes, etc.) and the plotting of the geonetwork object combined with supplementary cartography for spatial representation.
Author: Facundo Munoz [aut, cre]
Maintainer: Facundo Munoz <facundo.munoz@cirad.fr>

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Package besthr updated to version 0.3.2 with previous version 0.3.1 dated 2022-10-06

Title: Generating Bootstrap Estimation Distributions of HR Data
Description: Creates plots showing scored HR experiments and plots of distribution of means of ranks of HR score from bootstrapping. Authors (2019) <doi:10.5281/zenodo.3374507>.
Author: Dan MacLean [aut, cre]
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>

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Package Synth (with last version 1.1-6) was removed from CRAN

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

2022-06-08 1.1-6
2014-01-26 1.1-5
2013-08-12 1.1-4
2012-10-24 1.1-3
2011-12-27 1.1-2
2011-09-28 1.1-1
2011-04-27 0.1-9
2011-03-15 0.1-8
2008-09-11 0.1-6
2007-12-19 0.1-5
2007-10-18 0.1-4
2007-09-23 0.1-3
2007-02-11 0.1-2

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Package microsynth (with last version 2.0.31) was removed from CRAN

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

2021-02-26 2.0.31
2021-01-12 2.0.17
2019-04-10 2.0.13
2018-05-16 1.0.9

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Package bmrm (with last version 4.1) was removed from CRAN

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

2019-04-03 4.1
2018-02-19 3.7
2017-08-16 3.4
2017-05-19 3.3
2015-01-15 3.0
2014-02-10 1.8
2014-01-28 1.7
2013-09-04 1.6
2013-08-06 1.5
2013-07-19 1.4
2013-05-14 1.3

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Package LowRankQP (with last version 1.0.5) was removed from CRAN

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

2022-05-09 1.0.5
2020-04-12 1.0.4
2018-02-07 1.0.3
2012-12-06 1.0.2
2009-02-24 1.0.1
2006-02-21 1.0

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Package SCtools (with last version 0.3.2.1) was removed from CRAN

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

2022-06-09 0.3.2.1
2022-06-01 0.3.2
2020-08-26 0.3.1
2019-12-12 0.3.0

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

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

2021-01-27 0.1.0

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Package ggstatsplot updated to version 0.11.1 with previous version 0.11.0 dated 2023-02-15

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph] , Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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 ggstatsplot-0.11.1/ggstatsplot/R/ggstatsplot-package.R                                                                 |    4 
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 ggstatsplot-0.11.1/ggstatsplot/R/global_vars.R                                                                         |    1 
 ggstatsplot-0.11.1/ggstatsplot/README.md                                                                               |   17 
 ggstatsplot-0.11.1/ggstatsplot/inst/WORDLIST                                                                           |    3 
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Package gcplyr updated to version 1.5.1 with previous version 1.1.0 dated 2023-02-03

Title: Manipulate and Analyze Growth Curve Data
Description: Easy import, manipulation, and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
Author: Mike Blazanin [aut, cre]
Maintainer: Mike Blazanin <mikeblazanin@gmail.com>

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 gcplyr-1.5.1/gcplyr/man/make_design.Rd                                                                        |    8 
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 gcplyr-1.5.1/gcplyr/man/make_tidydesign.Rd                                                                    |    2 
 gcplyr-1.5.1/gcplyr/man/merge_dfs.Rd                                                                          |    2 
 gcplyr-1.5.1/gcplyr/man/moving_average.Rd                                                                     |    2 
 gcplyr-1.5.1/gcplyr/man/moving_median.Rd                                                                      |    2 
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 gcplyr-1.5.1/gcplyr/man/separate_tidy.Rd                                                                      |    5 
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 gcplyr-1.5.1/gcplyr/tests/testthat/test_utilityfunctions.R                                                    |   46 
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Package microeco updated to version 0.16.0 with previous version 0.15.0 dated 2023-03-27

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Umer Zeeshan Ijaz [ctb], Chenhao Li [ctb], Yang Cao [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package jsmodule updated to version 1.4.1 with previous version 1.4.0 dated 2023-03-10

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package metrica updated to version 2.0.3 with previous version 2.0.2 dated 2023-04-02

Title: Prediction Performance Metrics
Description: A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and man [...truncated...]
Author: Adrian A. Correndo [cre, cph] , Adrian A. Correndo [aut] , Luiz H. Moro Rosso [aut] , Rai Schwalbert [aut] , Carlos Hernandez [aut] , Leonardo M. Bastos [aut] , Luciana Nieto [aut] , Dean Holzworth [aut], Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <correndo@ksu.edu>

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Package eventPred updated to version 0.1.0 with previous version 0.0.1 dated 2023-03-10

Title: Event Prediction
Description: Predicts enrollment and events at the design stage using assumed enrollment and treatment-specific time-to-event models, or at the analysis stage using blinded data and specified enrollment and time-to-event models through simulations.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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