Sat, 12 Feb 2022

Package wallace updated to version 1.1.2 with previous version 1.1.0 dated 2021-05-24

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application 'wallace' is a modular platform for reproducible modeling of species niches and distributions. 'wallace' guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
Author: Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut, cre], Bruno Vilela [aut], Matthew E. Aiello-Lammens [aut], Robert Muscarella [aut], Cory Merow [aut], Robert P. Anderson [aut]
Maintainer: Gonzalo E. Pinilla-Buitrago <gpinillabuitrago@gradcenter.cuny.edu>

Diff between wallace versions 1.1.0 dated 2021-05-24 and 1.1.2 dated 2022-02-12

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 10 files changed, 38 insertions(+), 31 deletions(-)

More information about wallace at CRAN
Permanent link

Package jmvReadWrite updated to version 0.3.0 with previous version 0.2.4 dated 2022-01-20

Title: Read and Write 'jamovi' Files ('.omv')
Description: The free and open a statistical spreadsheet 'jamovi' (www.jamovi.org) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of analyses between 'jamovi' and R.
Author: Sebastian Jentschke [aut, cre] (<https://orcid.org/0000-0003-2576-5432>)
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>

Diff between jmvReadWrite versions 0.2.4 dated 2022-01-20 and 0.3.0 dated 2022-02-12

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More information about jmvReadWrite at CRAN
Permanent link

Package ggdist updated to version 3.1.0 with previous version 3.0.1 dated 2021-11-30

Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <doi:10.1111/1467-985X.00120>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ribbons.
Author: Matthew Kay [aut, cre], Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

Diff between ggdist versions 3.0.1 dated 2021-11-30 and 3.1.0 dated 2022-02-12

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 ggdist-3.1.0/ggdist/tests/testthat/test.abstract_stat.R                                                           |only
 ggdist-3.1.0/ggdist/tests/testthat/test.curve_interval.R                                                          |  109 +
 ggdist-3.1.0/ggdist/tests/testthat/test.distributions.R                                                           |   62 
 ggdist-3.1.0/ggdist/tests/testthat/test.geom_dotsinterval.R                                                       |  166 +
 ggdist-3.1.0/ggdist/tests/testthat/test.geom_lineribbon.R                                                         |   57 
 ggdist-3.1.0/ggdist/tests/testthat/test.geom_pointinterval.R                                                      |   30 
 ggdist-3.1.0/ggdist/tests/testthat/test.geom_slabinterval.R                                                       |   49 
 ggdist-3.1.0/ggdist/tests/testthat/test.point_interval.R                                                          |  239 ++
 ggdist-3.1.0/ggdist/tests/testthat/test.position_dodgejust.R                                                      |   79 
 ggdist-3.1.0/ggdist/tests/testthat/test.rd_lineribbon.R                                                           |only
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 ggdist-3.1.0/ggdist/tests/testthat/test.scale_.R                                                                  |    6 
 ggdist-3.1.0/ggdist/tests/testthat/test.stat_dist_slabinterval.R                                                  |  245 ++
 ggdist-3.1.0/ggdist/tests/testthat/test.stat_sample_slabinterval.R                                                |   64 
 ggdist-3.1.0/ggdist/tests/testthat/test.theme_ggdist.R                                                            |   49 
 ggdist-3.1.0/ggdist/tests/testthat/test.util.R                                                                    |   19 
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 ggdist-3.1.0/ggdist/vignettes/freq-uncertainty-vis.Rmd                                                            |   44 
 ggdist-3.1.0/ggdist/vignettes/lineribbon.Rmd                                                                      |   17 
 ggdist-3.1.0/ggdist/vignettes/slabinterval.Rmd                                                                    |  754 ++++---
 ggdist-3.1.0/ggdist/vignettes/slabinterval_family.png                                                             |binary
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More information about ggdist at CRAN
Permanent link

Package FSAdata updated to version 0.3.9 with previous version 0.3.8 dated 2019-05-18

Title: Data to Support Fish Stock Assessment ('FSA') Package
Description: The datasets to support the Fish Stock Assessment ('FSA') package.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>)
Maintainer: Derek Ogle <derek@derekogle.com>

Diff between FSAdata versions 0.3.8 dated 2019-05-18 and 0.3.9 dated 2022-02-12

 DESCRIPTION               |   10 -
 MD5                       |  336 +++++++++++++++++++++++-----------------------
 man/AHerringChile.Rd      |   78 +++++-----
 man/AfricanRivers.Rd      |   74 +++++-----
 man/AlewifeLH.Rd          |   80 +++++-----
 man/AnchovetaChile.Rd     |   82 +++++------
 man/BGHRfish.Rd           |   86 ++++++-----
 man/BGHRsample.Rd         |   82 +++++------
 man/BSkateGB.Rd           |   96 ++++++-------
 man/BassFL.Rd             |  116 ++++++++-------
 man/BlackDrum2001.Rd      |   96 ++++++-------
 man/BloaterLH.Rd          |   80 +++++-----
 man/BlueCatfish.Rd        |   72 +++++----
 man/BlueCrab.Rd           |   86 ++++++-----
 man/BluefishAge.Rd        |   76 +++++-----
 man/BluegillIL.Rd         |   82 +++++------
 man/BluegillLM.Rd         |   94 ++++++------
 man/BluntnoseIL1.Rd       |   86 ++++++-----
 man/Bonito.Rd             |   80 +++++-----
 man/BrookTroutNC.Rd       |   78 +++++-----
 man/BrookTroutNEWP.Rd     |   92 ++++++------
 man/BrookTroutNEWP1.Rd    |  118 ++++++++--------
 man/BrookTroutOnt.Rd      |   88 ++++++------
 man/BrownTroutVC1.Rd      |   86 ++++++-----
 man/BullTroutRML1.Rd      |   86 ++++++-----
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 man/CCatfishNB.Rd         |   86 ++++++-----
 man/Cabezon.Rd            |  100 ++++++-------
 man/Casselman1990.Rd      |   88 ++++++------
 man/ChinookKR.Rd          |   80 +++++-----
 man/CiscoTL.Rd            |   92 ++++++------
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 man/CreekChub.Rd          |   86 ++++++-----
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 man/DarterMahon.Rd        |   96 ++++++-------
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 man/Deckeretal1999.Rd     |   96 ++++++-------
 man/EuroPerchTJ.Rd        |   80 +++++-----
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 man/WhiteGrunt2.Rd        |   80 +++++-----
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 169 files changed, 7540 insertions(+), 7207 deletions(-)

More information about FSAdata at CRAN
Permanent link

Package fastmatrix updated to version 0.4 with previous version 0.3-8196 dated 2021-10-18

Title: Fast Computation of some Matrices Useful in Statistics
Description: Small set of functions to fast computation of some matrices and operations useful in statistics and econometrics. Currently, there are functions for efficient computation of duplication, commutation and symmetrizer matrices with minimal storage requirements. Some commonly used matrix decompositions (LU and LDL), basic matrix operations (for instance, Hadamard, Kronecker products and the Sherman-Morrison formula) and iterative solvers for linear systems are also available. In addition, the package includes a number of common statistical procedures such as the sweep operator, weighted mean and covariance matrix using an online algorithm, linear regression (using Cholesky, QR, SVD, sweep operator and conjugate gradients methods), ridge regression (with optimal selection of the ridge parameter considering several procedures), functions to compute the multivariate skewness, kurtosis, Mahalanobis distance (checking the positive defineteness) and the Wilson-Hilferty transformation of chi squared variables. Furthermore, the package provides interfaces to C code callable by another C code from other R packages.
Author: Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>), Alonso Ogueda [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between fastmatrix versions 0.3-8196 dated 2021-10-18 and 0.4 dated 2022-02-12

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 29 files changed, 351 insertions(+), 90 deletions(-)

More information about fastmatrix at CRAN
Permanent link

Package simpr updated to version 0.2.2 with previous version 0.2.1 dated 2022-01-12

Title: Flexible 'Tidyverse'-Friendly Simulations
Description: A general, 'tidyverse'-friendly framework for simulation studies, design analysis, and power analysis. Specify data generation, define varying parameters, generate data, fit models, and tidy model results in a single pipeline, without needing loops or custom functions.
Author: Ethan Brown [aut, cre] (<https://orcid.org/0000-0003-3419-7465>), Jeffrey Bye [ctb]
Maintainer: Ethan Brown <ecbrown@umn.edu>

Diff between simpr versions 0.2.1 dated 2022-01-12 and 0.2.2 dated 2022-02-12

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 man/tidyverse_verbs.Rd          |   16 ++++++++++++++++
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More information about simpr at CRAN
Permanent link

Package gittargets updated to version 0.0.3 with previous version 0.0.1 dated 2022-01-13

Title: Data Version Control for the Targets Package
Description: In computationally demanding data analysis pipelines, the 'targets' R package (2021, <doi:10.21105/joss.02959>) maintains an up-to-date set of results while skipping tasks that do not need to rerun. This process increases speed and increases trust in the final end product. However, it also overwrites old output with new output, and past results disappear by default. To preserve historical output, the 'gittargets' package captures version-controlled snapshots of the data store, and each snapshot links to the underlying commit of the source code. That way, when the user rolls back the code to a previous branch or commit, 'gittargets' can recover the data contemporaneous with that commit so that all targets remain up to date.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Saras Windecker [rev], David Neuzerling [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between gittargets versions 0.0.1 dated 2022-01-13 and 0.0.3 dated 2022-02-12

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More information about gittargets at CRAN
Permanent link

Package text updated to version 0.9.50 with previous version 0.9.10 dated 2020-12-14

Title: Analyses of Text using Natural Language Processing and Machine Learning
Description: Transforms text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] (<https://orcid.org/0000-0002-2728-6278>), Salvatore Giorgi [aut] (<https://orcid.org/0000-0001-7381-6295>), Andrew Schwartz [aut] (<https://orcid.org/0000-0002-6383-3339>)
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

Diff between text versions 0.9.10 dated 2020-12-14 and 0.9.50 dated 2022-02-12

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Package rv updated to version 2.3.5 with previous version 2.3.4 dated 2020-02-03

Title: Simulation-Based Random Variable Objects
Description: Implements a simulation-based random variable class and a suite of methods for extracting parts of random vectors, calculating extremes of random vectors, and generating random vectors under a variety of distributions following Kerman and Gelman (2007) <doi:10.1007/s11222-007-9020-4>.
Author: Jouni Kerman [aut], Jemma Stachelek [ctb, cre]
Maintainer: Jemma Stachelek <stachel2@msu.edu>

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Package replicateBE updated to version 1.1.1 with previous version 1.1.0 dated 2021-06-21

Title: Average Bioequivalence with Expanding Limits (ABEL)
Description: Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' and 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (Gulf Cooperation Council, South Africa: Cmax) - is implemented as well.
Author: Helmut Schütz [aut, cre] (<https://orcid.org/0000-0002-1167-7880>), Michael Tomashevskiy [ctb], Detlew Labes [ctb] (<https://orcid.org/0000-0003-2169-426X>)
Maintainer: Helmut Schütz <helmut.schuetz@bebac.at>

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Package fbati updated to version 1.0-5 with previous version 1.0-4 dated 2020-07-07

Title: Gene by Environment Interaction and Conditional Gene Tests for Nuclear Families
Description: Does family-based gene by environment interaction tests, joint gene, gene-environment interaction test, and a test of a set of genes conditional on another set of genes.
Author: Thomas Hoffmann <tjhoffm@gmail.com>
Maintainer: Thomas Hoffmann <tjhoffm@gmail.com>

Diff between fbati versions 1.0-4 dated 2020-07-07 and 1.0-5 dated 2022-02-12

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Package ecespa updated to version 1.1-14 with previous version 1.1-13 dated 2021-03-14

Title: Functions for Spatial Point Pattern Analysis
Description: Some wrappers, functions and data sets for for spatial point pattern analysis (mainly based on 'spatstat'), used in the book "Introduccion al Analisis Espacial de Datos en Ecologia y Ciencias Ambientales: Metodos y Aplicaciones" and in the papers by De la Cruz et al. (2008) <doi:10.1111/j.0906-7590.2008.05299.x> and Olano et al. (2009) <doi:10.1051/forest:2008074>.
Author: Marcelino de la Cruz Rot, with contributions of Philip M. Dixon and Jose M. Blanco-Moreno
Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@urjc.es>

Diff between ecespa versions 1.1-13 dated 2021-03-14 and 1.1-14 dated 2022-02-12

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Package conquer updated to version 1.2.2 with previous version 1.2.1 dated 2021-11-01

Title: Convolution-Type Smoothed Quantile Regression
Description: Estimation and inference for conditional linear quantile regression models using a convolution smoothed approach. In the low-dimensional setting, efficient gradient-based methods are employed for fitting both a single model and a regression process over a quantile range. Normal-based and (multiplier) bootstrap confidence intervals for all slope coefficients are constructed. In high dimensions, the conquer methods complemented with l_1-penalization and iteratively reweighted l_1-penalization are used to fit sparse models.
Author: Xuming He [aut], Xiaoou Pan [aut, cre], Kean Ming Tan [aut], Wen-Xin Zhou [aut]
Maintainer: Xiaoou Pan <xip024@ucsd.edu>

Diff between conquer versions 1.2.1 dated 2021-11-01 and 1.2.2 dated 2022-02-12

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Package clintools updated to version 0.9.3 with previous version 0.9.2 dated 2022-01-20

Title: Tools for Clinical Research
Description: Every research team have their own script for data management, statistics and most importantly hemodynamic indices. The purpose is to standardize scripts utilized in clinical research. The hemodynamic indices can be used in a long-format dataframe, and add both periods of interest (trigger-periods), and delete artifacts with deleter-files. Transfer function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>) and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be calculated using this package.
Author: Markus Harboe Olsen [cre, aut], Christian Riberholt [ctb], Ronan Berg [ctb], Kirsten Moeller [ctb], Janus Christian Jakobsen [ctb], Aksel Karl Georg Jensen [ctb]
Maintainer: Markus Harboe Olsen <oel@oelfam.com>

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Package survivoR updated to version 0.9.12 with previous version 0.9.9 dated 2022-01-08

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Several datasets which detail the results and events of each season of Survivor. This includes details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out. Includes 'ggplot2' scales and colour palettes for visualisation.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package pwr2ppl updated to version 0.3.0 with previous version 0.2.0 dated 2021-04-04

Title: Power Analyses for Common Designs (Power to the People)
Description: Statistical power analysis for designs including t-tests, correlations, multiple regression, ANOVA, mediation, and logistic regression. Functions accompany Aberson (2019) <doi:10.4324/9781315171500>.
Author: Chris Aberson
Maintainer: Chris Aberson <cla18@humboldt.edu>

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Package FSA updated to version 0.9.2 with previous version 0.9.1 dated 2021-07-17

Title: Simple Fisheries Stock Assessment Methods
Description: A variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>), Jason Doll [aut], Powell Wheeler [aut], Alexis Dinno [aut] (Provided base functionality of dunnTest())
Maintainer: Derek Ogle <derek@derekogle.com>

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Package selectspm updated to version 0.4 with previous version 0.3 dated 2021-03-14

Title: Select Point Pattern Models Based on Minimum Contrast, AIC and Goodness of Fit
Description: Fit and selects point pattern models based on minimum contrast, AIC and and goodness of fit.
Author: Marcelino de la Cruz
Maintainer: Marcelino de la Cruz <marcelino.delacruz@urjc.es>

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Package idar updated to version 1.3 with previous version 1.2 dated 2021-03-14

Title: Individual Diversity-Area Relationships
Description: Computes and tests individual (species, phylogenetic and functional) diversity-area relationships, i.e., how species-, phylogenetic- and functional-diversity varies with spatial scale around the individuals of some species in a community. See applications of these methods in Wiegand et al. (2007) <doi:10.1073/pnas.0705621104> or Chacon-Labella et al. (2016) <doi:10.1007/s00442-016-3547-z>.
Author: Marcelino de la Cruz
Maintainer: Marcelino de la Cruz <marcelino.delacruz@urjc.es>

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Package fsbrain updated to version 0.5.3 with previous version 0.5.2 dated 2021-11-10

Title: Managing and Visualizing Brain Surface Data
Description: Provides high-level access to neuroimaging data from standard software packages like 'FreeSurfer' <http://freesurfer.net/> on the level of subjects and groups. Load morphometry data, surfaces and brain parcellations based on atlases. Mask data using labels, load data for specific atlas regions only, and visualize data and statistical results directly in 'R'.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

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Package dixon updated to version 0.0-8 with previous version 0.0-7 dated 2021-03-14

Title: Nearest Neighbour Contingency Table Analysis
Description: Function to test spatial segregation and association based in contingency table analysis of nearest neighbour counts following Dixon (2002) <doi:10.1080/11956860.2002.11682700>. Some 'Fortran' code has been included to the original dixon2002() function of the 'ecespa' package to improve speed.
Author: Marcelino de la Cruz Rot and Philip M. Dixon
Maintainer: Marcelino de la Cruz Rot <marcelino.delacruz@urjc.es>

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Package pmsampsize updated to version 1.1.2 with previous version 1.1.1 dated 2021-11-22

Title: Calculates the Minimum Sample Size Required for Developing a Multivariable Prediction Model
Description: Computes the minimum sample size required for the development of a new multivariable prediction model using the criteria proposed by Riley et al. (2018) <doi: 10.1002/sim.7992>. pmsampsize can be used to calculate the minimum sample size for the development of models with continuous, binary or survival (time-to-event) outcomes. Riley et al. (2018) <doi: 10.1002/sim.7992> lay out a series of criteria the sample size should meet. These aim to minimise the overfitting and to ensure precise estimation of key parameters in the prediction model.
Author: Joie Ensor [aut, cre], Emma C. Martin [aut], Richard D. Riley [aut]
Maintainer: Joie Ensor <j.ensor@keele.ac.uk>

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Package selectiongain updated to version 2.0.707 with previous version 2.0.591 dated 2016-10-09

Title: A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection
Description: Multi-stage selection is practiced in numerous fields of life and social sciences and particularly in breeding. A special characteristic of multi-stage selection is that candidates are evaluated in successive stages with increasing intensity and effort, and only a fraction of the superior candidates is selected and promoted to the next stage. For the optimum design of such selection programs, the selection gain plays a crucial role. It can be calculated by integration of a truncated multivariate normal (MVN) distribution. While mathematical formulas for calculating the selection gain and the variance among selected candidates were developed long time ago, solutions for numerical calculation were not available. This package can also be used for optimizing multi-stage selection programs for a given total budget and different costs of evaluating the candidates in each stage.
Author: Xuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E. Melchinger (Project contact person: Melchinger@uni-hohenheim.de )
Maintainer: Xuefei Mi <mi_xue_fei@hotmail.com>

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Package dtwclust updated to version 5.5.8 with previous version 5.5.7 dated 2022-01-12

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging, a distance based on global alignment kernels, and the soft-DTW distance and centroid routines are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

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Package spc4sts updated to version 0.5.5 with previous version 0.5.4 dated 2021-07-02

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) generic modeling of stochastic textured surfaces. (2) local defect monitoring and diagnostics in stochastic textured surfaces, which was proposed by Bui and Apley (2018a) <doi:10.1080/00401706.2017.1302362>. (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) <doi:10.1080/00224065.2018.1507559>. (4) computation of dissimilarity matrix of stochastic textured surface images, which was proposed by Bui and Apley (2019b) <doi:10.1016/j.csda.2019.01.019>.
Author: Anh Tuan Bui [aut, cre] and Daniel W. Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

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Package spatstat.random updated to version 2.1-0 with previous version 2.0-0 dated 2022-01-06

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes (simple sequential inhibition, Matern inhibition models, Matern cluster process, Neyman-Scott cluster processes, log-Gaussian Cox processes, product shot noise cluster processes) and simulation of Gibbs point processes (Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package spatstat.geom updated to version 2.3-2 with previous version 2.3-1 dated 2021-12-10

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Sebastian Meyer [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 2.3-1 dated 2021-12-10 and 2.3-2 dated 2022-02-12

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

Title: Access to Aquo domaintables from R (Dutch)
Description: The Aquo Standard is the Dutch Standard for the exchange of data in water management. With *aquodom* (short for aquo domaintables) it is easy to exploit the API (<https://www.aquo.nl/index.php/Hoofdpagina>) to download domaintables of the Aquo Standard and use them in R.
Author: Johan van Tent [aut, cre]
Maintainer: Johan van Tent <tentvanjohan@hotmail.com>

Diff between aquodom versions 0.1.0 dated 2021-05-05 and 0.1.1 dated 2022-02-12

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Package glottospace (with last version 0.0.101) was removed from CRAN

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

2022-02-11 0.0.101

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

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

2020-09-17 3.0.0
2019-05-25 2.0.0
2017-03-12 1.0.0

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Package gsbm (with last version 0.2.1) was removed from CRAN

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

2020-12-09 0.2.1

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