Tue, 19 Sep 2023

Package rugarch updated to version 1.5-1 with previous version 1.4-9 dated 2022-10-26

Title: Univariate GARCH Models
Description: ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.
Author: Alexios Galanos [aut, cre], Tobias Kley [ctb]
Maintainer: Alexios Galanos <alexios@4dscape.com>

Diff between rugarch versions 1.4-9 dated 2022-10-26 and 1.5-1 dated 2023-09-19

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Package rmass2 updated to version 0.0.0.2 with previous version 0.0.0.1 dated 2023-08-21

Title: Repeated Measures with Attrition: Sample Sizes and Power Levels for 2 Groups
Description: For the calculation of sample size or power in a two-group repeated measures design, accounting for attrition and accommodating a variety of correlation structures for the repeated measures; details of the method can be found in the scientific paper: Donald Hedeker, Robert D. Gibbons, Christine Waternaux (1999) <doi:10.3102/10769986024001070>.
Author: Yiheng Wei [aut] , Soumya Sahu [aut, cre], Donald Hedeker [aut]
Maintainer: Soumya Sahu <ssahu6@uic.edu>

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Package jab.adverse.reactions updated to version 1.0.3 with previous version 1.0.1 dated 2022-01-13

Title: Possible Adverse Events/Reactions from the Vaccinations/Experimental Gene Therapies
Description: Provides data about the possible adverse events/reactions resulting from being injected with a vaccine/experimental gene therapy. Currently, this data set only includes information from six reference sources. Refer to the CITATION.cff file for the complete citations of the reference sources. For information about vaccination$/immunization$ hazards, visit <https://www.questionuniverse.com/rethink.html#vaccine>, <https://www.ecoccs.com/healing.html#vaccines>, <https://www.questionuniverse.com/rethink_current_crisis.html#cov_vaccin>, and <https://www.questionuniverse.com/vaccination.html>.
Author: Irucka Embry [aut, cre]
Maintainer: Irucka Embry <iembry@ecoccs.com>

Diff between jab.adverse.reactions versions 1.0.1 dated 2022-01-13 and 1.0.3 dated 2023-09-19

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Package greenclust updated to version 1.1.1 with previous version 1.1.0 dated 2020-01-10

Title: Combine Categories Using Greenacre's Method
Description: Implements a method of iteratively collapsing the rows of a contingency table, two at a time, by selecting the pair of categories whose combination yields a new table with the smallest loss of chi-squared, as described by Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is compatible with the class of object returned by the 'stats' package's hclust() function and can be used similarly (plotted as a dendrogram, cut, etc.). Additional functions are provided for automatic cutting and diagnostic plotting.
Author: Jeff Jetton [aut, cre]
Maintainer: Jeff Jetton <jeff.jetton@gmail.com>

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Package epoxy updated to version 1.0.0 with previous version 0.1.1 dated 2023-06-11

Title: String Interpolation for Documents, Reports and Apps
Description: Extra strength 'glue' for data-driven templates. String interpolation for 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built on the 'glue' and 'whisker' packages.
Author: Garrick Aden-Buie [aut, cre] , Kushagra Gour [ctb] , The mustache.js community [ctb]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package Nmix updated to version 2.0.5 with previous version 2.0.4 dated 2023-07-19

Title: Bayesian Inference on Univariate Normal Mixtures
Description: A program for Bayesian analysis of univariate normal mixtures with an unknown number of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>. This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping between the parameter sub-spaces corresponding to different numbers of components in the mixture. A sample from the full joint distribution of all unknown variables is thereby generated, and this can be used as a basis for a thorough presentation of many aspects of the posterior distribution.
Author: Peter Green [aut, cre]
Maintainer: Peter Green <P.J.Green@bristol.ac.uk>

Diff between Nmix versions 2.0.4 dated 2023-07-19 and 2.0.5 dated 2023-09-19

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Package IRTest updated to version 1.11.0 with previous version 1.7.0 dated 2023-08-17

Title: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
Description: Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available (Li, 2022 <http://www.riss.kr/link?id=T16374105>). Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
Author: Seewoo Li [aut, cre, cph]
Maintainer: Seewoo Li <cu@yonsei.ac.kr>

Diff between IRTest versions 1.7.0 dated 2023-08-17 and 1.11.0 dated 2023-09-19

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Package apcluster updated to version 1.4.11 with previous version 1.4.10 dated 2022-05-31

Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer [aut, cre], Johannes Palme [ctb], Chrats Melkonian [ctb], Andreas Kothmeier [aut], Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <bodenhofer@bioinf.jku.at>

Diff between apcluster versions 1.4.10 dated 2022-05-31 and 1.4.11 dated 2023-09-19

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New package ThurMod with initial version 1.1.11
Package: ThurMod
Title: Thurstonian CFA and Thurstonian IRT Modeling
Version: 1.1.11
Date: 2023-09-019
Description: Fit Thurstonian forced-choice models (CFA (simple and factor) and IRT) in R. This package allows for the analysis of item response modeling (IRT) as well as confirmatory factor analysis (CFA) in the Thurstonian framework. Currently, estimation can be performed by 'Mplus' and 'lavaan'. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Jansen, M. T., & Schulze, R. (in review). The Thurstonian linked block design: Improving Thurstonian modeling for paired comparison and ranking data.; Maydeu-Olivares & Böckenholt (2005) <doi:10.1037/1082-989X.10.3.285>.
VignetteBuilder: knitr
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: stats, utils, mvtnorm, MASS, matrixStats, lavaan
Suggests: rmarkdown, knitr
URL: https://github.com/MarkusTJansen/ThurMod
BugReports: https://github.com/MarkusTJansen/ThurMod/issues
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Packaged: 2023-09-19 10:58:18 UTC; Jansen
Author: Markus Thomas Jansen [aut, cre]
Maintainer: Markus Thomas Jansen <mjansen@uni-wuppertal.de>
Repository: CRAN
Date/Publication: 2023-09-19 16:50:02 UTC

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New package PEPBVS with initial version 1.0
Package: PEPBVS
Title: Bayesian Variable Selection using Power-Expected-Posterior Prior
Version: 1.0
Date: 2023-09-14
Maintainer: Konstantina Charmpi <xarmpi.kon@gmail.com>
Description: Performs Bayesian variable selection under normal linear models for the data with the model parameters following as prior either the power-expected-posterior (PEP) or the intrinsic (a special case of the former) (Fouskakis and Ntzoufras (2022) <doi: 10.1214/21-BA1288>, Fouskakis and Ntzoufras (2020) <doi: 10.3390/econometrics8020017>). The prior distribution on model space is the uniform on model space or the uniform on model dimension (a special case of the beta-binomial prior). The selection can be done either with full enumeration of all possible models or using the Markov Chain Monte Carlo Model Composition (MC3) algorithm (Madigan and York (1995) <doi: 10.2307/1403615>). Complementary functions for making predictions, as well as plotting and printing the results are also provided.
License: GPL (>= 2)
Imports: Matrix, Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
SystemRequirements: GNU GSL
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-09-15 15:09:54 UTC; k.charbi
Author: Konstantina Charmpi [aut, cre], Dimitris Fouskakis [aut], Ioannis Ntzoufras [aut]
Repository: CRAN
Date/Publication: 2023-09-19 16:40:02 UTC

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Package skilljaR updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-09

Title: Connect to Your 'Skilljar' Data
Description: Functions that simplify calls to the 'Skilljar' API. See <https://api.skilljar.com/docs/> for documentation on the 'Skilljar' API. This package is not supported by 'Skilljar'.
Author: Chris Umphlett [aut, cre]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

Diff between skilljaR versions 0.1.1 dated 2023-06-09 and 0.1.2 dated 2023-09-19

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Package SpatEntropy updated to version 2.2-1 with previous version 2.2-0 dated 2022-11-22

Title: Spatial Entropy Measures
Description: The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy (Shannon, 1948 <doi:10.1002/j.1538-7305.1948.tb01338.x>), Batty's spatial entropy (Batty, 1974 <doi:10.1111/j.1538-4632.1974.tb01014.x>), O'Neill's entropy (O'Neill et al., 1998 <doi:10.1007/BF00162741>), Li and Reynolds' contagion index (Li and Reynolds, 1993 <doi:10.1007/BF00125347>), Karlstrom and Ceccato's entropy (Karlstrom and Ceccato, 2002 <urn:nbn:se:kth:diva-61351>), Leibovici's entropy (Leibovici, 2009 <doi:10.1007/978-3-642-03832-7_24>), Parresol and Edwards' entropy (Parresol and Edwards, 2014 <doi:10.3390/e16041842>) and Altieri's entropy (Altieri et al., 2018, <doi:10.1007/s10651-017-0383-1>). Full references for all measures can be [...truncated...]
Author: L. Altieri, D. Cocchi, G. Roli
Maintainer: Altieri Linda <linda.altieri@unibo.it>

Diff between SpatEntropy versions 2.2-0 dated 2022-11-22 and 2.2-1 dated 2023-09-19

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New package mtsta with initial version 0.0.0.1
Package: mtsta
Title: Accessing the Red List of Montane Tree Species of the Tropical Andes
Version: 0.0.0.1
Description: Access the 'Red List of Montane Tree Species of the Tropical Andes' Tejedor Garavito et al.(2014, ISBN:978-1-905164-60-8). This package allows users to search for globally threatened tree species within the andean montane forests, including cloud forests and seasonal (wet) forests above 1500 m a.s.l.
License: MIT + file LICENSE
Suggests: dplyr, forcats, ggplot2, janitor, knitr, rmarkdown, stringr, testthat, tibble, tidyr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Date: 2023-09-16
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
URL: https://github.com/PaulESantos/mtsta
BugReports: https://github.com/PaulESantos/mtsta/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-09-19 01:13:22 UTC; user
Author: Paul E. Santos Andrade [aut, cre]
Repository: CRAN
Date/Publication: 2023-09-19 14:20:02 UTC

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New package LearnSL with initial version 1.0.0
Package: LearnSL
Title: Learn Supervised Classification Methods Through Examples and Code
Version: 1.0.0
Description: Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.
URL: https://github.com/ComiSeng/LearnSL
BugReports: https://github.com/ComiSeng/LearnSL/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.1)
NeedsCompilation: no
Packaged: 2023-09-16 17:10:46 UTC; vicam
Author: Victor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego [ctb] , Universidad de Alcala [cph]
Maintainer: Victor Amador Padilla <victor.amador@edu.uah.es>
Repository: CRAN
Date/Publication: 2023-09-19 14:30:04 UTC

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New package FastStepGraph with initial version 0.1.0
Package: FastStepGraph
Title: Fast Step Graph: A Fast Sparse Precision Matrix Estimation Algorithm
Version: 0.1.0
Maintainer: Juan G. Colonna <juancolonna@icomp.ufam.edu.br>
Description: It implements an improved and computationally faster version of the original Stepwise Gaussian Graphical Algorithm for estimating the Omega precision matrix from high-dimensional data. Zamar, R., Ruiz, M., Lafit, G. and Nogales, J. (2021) <doi:10.52933/jdssv.v1i2.11>.
License: MIT + file LICENSE
URL: https://github.com/juancolonna/FastStepGraph
Depends: R (>= 4.3),
Imports: doParallel (>= 1.0), foreach (>= 1.5), MASS (>= 7.3)
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-19 02:49:09 UTC; juan
Author: Juan G. Colonna [cre, aut] , Marcelo Ruiz [aut]
Repository: CRAN
Date/Publication: 2023-09-19 14:30:07 UTC

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New package epidatr with initial version 1.0.0
Package: epidatr
Title: Client for Delphi's 'Epidata' API
Version: 1.0.0
Date: 2023-09-11
URL: https://cmu-delphi.github.io/epidatr/, https://cmu-delphi.github.io/delphi-epidata/, https://github.com/cmu-delphi/epidatr
BugReports: https://github.com/cmu-delphi/epidatr/issues
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cachem, checkmate, cli, httr, glue, jsonlite, magrittr, MMWRweek, purrr, openssl, readr, tibble, xml2
Suggests: dplyr, ggplot2, knitr, rmarkdown, rlang, testthat (>= 3.1.5), withr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-12 08:00:42 UTC; dsweber
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Alex Reinhart [ctb], Daniel McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2023-09-19 14:10:02 UTC

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Package diseasemapping updated to version 2.0.2 with previous version 2.0.1 dated 2023-09-17

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using 'INLA'. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown [aut, cre, cph], Lutong Zhou [aut]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between diseasemapping versions 2.0.1 dated 2023-09-17 and 2.0.2 dated 2023-09-19

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New package desk with initial version 1.1.0
Package: desk
Title: Didactic Econometrics Starter Kit
Version: 1.1.0
Description: Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2023, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).
URL: https://github.com/OvGU-SH/desk
BugReports: https://github.com/OvGU-SH/desk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, rstudioapi, stats, graphics, grDevices, utils
Suggests: stargazer, foreign, readxl, wooldridge, lmtest, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-09-18 16:06:43 UTC; vwl3_admin
Author: Soenke Hoffmann [cre, aut], Tobias Kranz [aut]
Maintainer: Soenke Hoffmann <sohoffma@ovgu.de>
Repository: CRAN
Date/Publication: 2023-09-19 14:10:06 UTC

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Package RcppInt64 updated to version 0.0.3 with previous version 0.0.2 dated 2023-09-12

Title: 'Rcpp'-Based Helper Functions to Pass 'Int64' and 'nanotime' Values Between 'R' and 'C++'
Description: 'Int64' values can be created and accessed via the 'bit64' package and its 'integer64' class which package the 'int64' representation cleverly into a 'double'. The 'nanotime' packages builds on this to support nanosecond-resolution timestamps. This packages helps conversions between 'R' and 'C++' via several helper functions provided via a single header file. A complete example client package is included as an illustration.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package alone updated to version 0.3 with previous version 0.2 dated 2023-05-29

Title: Datasets from the Survival TV Series Alone
Description: A collection of datasets on the Alone survival TV series in tidy format. Included in the package are 4 datasets detailing the survivors, their loadouts, episode details and season information.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

Diff between alone versions 0.2 dated 2023-05-29 and 0.3 dated 2023-09-19

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Package abess updated to version 0.4.8 with previous version 0.4.7 dated 2023-02-19

Title: Fast Best Subset Selection
Description: Extremely efficient toolkit for solving the best subset selection problem <https://www.jmlr.org/papers/v23/21-1060.html>. This package is its R interface. The package implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection <doi:10.1287/ijoc.2022.1241> and sure independence screening <doi:10.1111/j.1467-9868.2008.00674.x> are also provided.
Author: Jin Zhu [aut, cre] , Zezhi Wang [aut], Liyuan Hu [aut], Junhao Huang [aut], Kangkang Jiang [aut], Yanhang Zhang [aut], Borui Tang [aut], Shiyun Lin [aut], Junxian Zhu [aut], Canhong Wen [aut], Heping Zhang [aut] , Xueqin Wang [aut] , spectra contribu [...truncated...]
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

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Package selection.index updated to version 1.2.0 with previous version 1.1.4 dated 2022-06-13

Title: Analysis of Selection Index in Plant Breeding
Description: The aim of most plant breeding programmes is simultaneous improvement of several characters. An objective method involving simultaneous selection for several attributes then becomes necessary. It has been recognised that most rapid improvements in the economic value is expected from selection applied simultaneously to all the characters which determine the economic value of a plant, and appropriate assigned weights to each character according to their economic importance, heritability and correlations between characters. So the selection for economic value is a complex matter. If the component characters are combined together into an index in such a way that when selection is applied to the index, as if index is the character to be improved, most rapid improvement of economic value is expected. Such an index was first proposed by Smith (1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) based on the Fisher's (1936 <doi:10.1111/j.1469-1809.1936.tb02137.x>) "discriminant function [...truncated...]
Author: Zankrut Goyani [aut, cre, cph]
Maintainer: Zankrut Goyani <zankrut20@gmail.com>

Diff between selection.index versions 1.1.4 dated 2022-06-13 and 1.2.0 dated 2023-09-19

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New package markophylo with initial version 1.0.9
Package: markophylo
Title: Markov Chain Models for Phylogenetic Trees
Version: 1.0.9
Date: 2023-09-14
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <utkarshdang@cunet.carleton.ca>
Description: Allows for fitting of maximum likelihood models using Markov chains on phylogenetic trees for analysis of discrete character data. Examples of such discrete character data include restriction sites, gene family presence/absence, intron presence/absence, and gene family size data. Hypothesis-driven user- specified substitution rate matrices can be estimated. Allows for biologically realistic models combining constrained substitution rate matrices, site rate variation, site partitioning, branch-specific rates, allowing for non-stationary prior root probabilities, correcting for sampling bias, etc. See Dang and Golding (2016) <doi:10.1093/bioinformatics/btv541> for more details.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.4), ape (>= 3.2), numDeriv (>= 2012.9.1), phangorn (>= 1.99.13), geiger
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (>= 1.10), testthat (>= 0.9.1), markdown (> 1.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2023-09-19 11:28:03 UTC; udang
Repository: CRAN
Date/Publication: 2023-09-19 12:20:03 UTC

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Package rio updated to version 1.0.1 with previous version 1.0.0 dated 2023-09-14

Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data structure from the file extension, reasonable defaults are used for data import and export (e.g., 'stringsAsFactors=FALSE'), web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly without explicit decompression, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Author: Jason Becker [aut], Chung-hong Chan [aut, cre] , David Schoch [aut] , Geoffrey CH Chan [ctb], Thomas J. Leeper [aut] , Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick K [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between rio versions 1.0.0 dated 2023-09-14 and 1.0.1 dated 2023-09-19

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Package mvQuad updated to version 1.0-8 with previous version 1.0-6 dated 2016-07-19

Title: Methods for Multivariate Quadrature
Description: Provides methods to construct multivariate grids, which can be used for multivariate quadrature. This grids can be based on different quadrature rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction of the multidimensional grid the product-rule or the combination- technique can be applied.
Author: Constantin Weiser
Maintainer: Constantin Weiser <constantin.weiser@gmail.com>

Diff between mvQuad versions 1.0-6 dated 2016-07-19 and 1.0-8 dated 2023-09-19

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Package ggblanket updated to version 5.1.0 with previous version 5.0.0 dated 2023-09-12

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph] , Nik Mitchell [ctb]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 5.0.0 dated 2023-09-12 and 5.1.0 dated 2023-09-19

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New package SimSurvey with initial version 0.1.6
Package: SimSurvey
Title: Test Surveys by Simulating Spatially-Correlated Populations
Version: 0.1.6
Maintainer: Paul Regular <Paul.Regular@dfo-mpo.gc.ca>
Description: Simulate age-structured populations that vary in space and time and explore the efficacy of a range of built-in or user-defined sampling protocols to reproduce the population parameters of the known population. (See Regular et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).
Depends: R (>= 3.5.0)
License: GPL-3
Additional_repositories: https://inla.r-inla-download.org/R/stable/
LazyData: true
ByteCompile: true
URL: https://paulregular.github.io/SimSurvey/
BugReports: https://github.com/PaulRegular/SimSurvey/issues
Imports: sf, stars, data.table, magrittr, progress, doParallel, parallel, foreach, plotly, rlang, lifecycle
Suggests: fields, rmarkdown, flexdashboard, shiny, crosstalk, htmltools, viridis, lme4, ggplot2, INLA, INLAspacetime, knitr, bezier
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-18 20:13:17 UTC; RegularP
Author: Paul Regular [aut, cre] , Jonathan Babyn [ctb], Greg Robertson [ctb]
Repository: CRAN
Date/Publication: 2023-09-19 10:50:10 UTC

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New package sfhotspot with initial version 0.8.0
Package: sfhotspot
Title: Hot-Spot Analysis with Simple Features
Version: 0.8.0
Description: Identify and understand clusters of points (typically representing the locations of places or events) stored in simple-features (SF) objects. This is useful for analysing, for example, hot-spots of crime events. The package emphasises producing results from point SF data in a single step using reasonable default values for all other arguments, to aid rapid data analysis by users who are starting out. Functions available include kernel density estimation (for details, see Yip (2020) <doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot classification (Chainey (2020) ISBN:158948584X).
License: MIT + file LICENSE
Language: en-GB
URL: http://pkgs.lesscrime.info/sfhotspot/
BugReports: https://github.com/mpjashby/sfhotspot/issues
Encoding: UTF-8
Imports: ggplot2, rlang, sf, SpatialKDE, spdep, tibble
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), lubridate, knitr, rmarkdown, ggspatial
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-18 16:07:31 UTC; mattashby
Author: Matt Ashby [aut, cre]
Maintainer: Matt Ashby <matthew.ashby@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2023-09-19 10:50:02 UTC

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New package nser with initial version 1.5.0
Package: nser
Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Version: 1.5.0
Date: 2023-09-18
Description: Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.
URL: https://github.com/nandp1/nser/
BugReports: https://github.com/nandp1/nser/issues
Language: en-US
License: GPL-3
Depends: R (>= 3.0)
Encoding: UTF-8
LazyData: TRUE
Imports: utils, readr, magrittr, rvest, stringr, googleVis, dplyr, lubridate, purrr, curl, reticulate, xml2
Suggests: rmarkdown, testthat (>= 3.0.0), knitr, reshape2
VignetteBuilder: knitr
Packaged: 2023-09-19 05:54:36 UTC; INP
Author: Nandan Patil [cre, aut]
Maintainer: Nandan Patil <tryanother609@gmail.com>
Repository: CRAN
NeedsCompilation: no
Date/Publication: 2023-09-19 10:50:06 UTC

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Package graphlayouts updated to version 1.0.1 with previous version 1.0.0 dated 2023-05-01

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

Diff between graphlayouts versions 1.0.0 dated 2023-05-01 and 1.0.1 dated 2023-09-19

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Package editbl updated to version 0.9.6 with previous version 0.9.5 dated 2023-09-05

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

Diff between editbl versions 0.9.5 dated 2023-09-05 and 0.9.6 dated 2023-09-19

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New package EpiStats with initial version 1.6-1
Package: EpiStats
Title: Tools for Epidemiologists
Version: 1.6-1
Date: 2023-09-18
Description: Provides set of functions aimed at epidemiologists. The package includes commands for measures of association and impact for case control studies and cohort studies. It may be particularly useful for outbreak investigations including univariable analysis and stratified analysis. The functions for cohort studies include the CS(), CSTable() and CSInter() commands. The functions for case control studies include the CC(), CCTable() and CCInter() commands.
License: LGPL-3
Depends: epiR, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-19 09:08:49 UTC; l.merdrignac
Author: Jean Pierre Decorps [aut], Esther Kissling [ctb], Lore Merdrignac [cre]
Maintainer: Lore Merdrignac <l.merdrignac@epiconcept.fr>
Repository: CRAN
Date/Publication: 2023-09-19 10:50:13 UTC

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Package restatapi updated to version 0.22.1 with previous version 0.21.2 dated 2023-08-08

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre], Sebastian Weinand [ctb]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.21.2 dated 2023-08-08 and 0.22.1 dated 2023-09-19

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Package LDATS updated to version 0.3.0 with previous version 0.2.7 dated 2020-03-19

Title: Latent Dirichlet Allocation Coupled with Time Series Analyses
Description: Combines Latent Dirichlet Allocation (LDA) and Bayesian multinomial time series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal data. LDA decomposes multivariate data into lower-dimension latent groupings, whose relative proportions are modeled using generalized Bayesian time series models that include abrupt changepoints and smooth dynamics. The methods are described in Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>, Western and Kleykamp (2004) <doi:10.1093/pan/mph023>, Venables and Ripley (2002, ISBN-13:978-0387954578), and Christensen et al. (2018) <doi:10.1002/ecy.2373>.
Author: Juniper L. Simonis [aut, cre] , Erica M. Christensen [aut] , David J. Harris [aut] , Renata M. Diaz [aut] , Hao Ye [aut] , Ethan P. White [aut] , S.K. Morgan Ernest [aut] , Weecology [cph]
Maintainer: Juniper L. Simonis <juniper.simonis@weecology.org>

Diff between LDATS versions 0.2.7 dated 2020-03-19 and 0.3.0 dated 2023-09-19

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Package volesti updated to version 1.1.2-7 with previous version 1.1.2-6 dated 2023-04-11

Title: Volume Approximation and Sampling of Convex Polytopes
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume of polytopes given by (i) a set of points, (ii) linear inequalities or (iii) Minkowski sum of segments (a.k.a. zonotopes). There are three algorithms for volume estimation as well as algorithms for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for estimating copulas useful in computational finance. Methods implemented in 'volesti' are described in A. Chalkis and V. Fisikopoulos (2022) <doi:10.32614/RJ-2021-077> and references therein.
Author: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com> [aut, cph, cre], Apostolos Chalkis <tolis.chal@gmail.com> [cph, aut], contributors in file inst/AUTHORS
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>

Diff between volesti versions 1.1.2-6 dated 2023-04-11 and 1.1.2-7 dated 2023-09-19

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Package rngSetSeed updated to version 0.3-3 with previous version 0.3-2 dated 2014-12-03

Title: Seeding the Default RNG with a Numeric Vector
Description: A function setVectorSeed() is provided. Its argument is a numeric vector of an arbitrary nonzero length, whose components have integer values from [0, 2^32-1]. The input vector is transformed using AES (Advanced Encryption Standard) algorithm into an initial state of Mersenne-Twister random number generator. The function provides a better alternative to the R base function set.seed(), if the input vector is a single integer. Initializing a stream of random numbers with a vector is a convenient way to obtain several streams, each of which is identified by several integer indices.
Author: Petr Savicky
Maintainer: Petr Savicky <savicky@cs.cas.cz>

Diff between rngSetSeed versions 0.3-2 dated 2014-12-03 and 0.3-3 dated 2023-09-19

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New package RFCCA with initial version 1.0.11
Package: RFCCA
Title: Random Forest with Canonical Correlation Analysis
Version: 1.0.11
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2021) <doi:10.1093/bioinformatics/btab158>. RFCCA uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule. LAPACK and BLAS libraries are used for matrix decompositions. The ‘RFCCA’ package includes the header files ‘lapacke.h’ and ‘cblas.h’ from the LAPACK and BLAS libraries. The LAPACK library is licensed under modified BSD license.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: CCA, PMA
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/calakus/RFCCA
BugReports: https://github.com/calakus/RFCCA/issues
NeedsCompilation: yes
Packaged: 2023-09-18 19:31:59 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2023-09-19 08:20:02 UTC

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Package renv updated to version 1.0.3 with previous version 1.0.2 dated 2023-08-15

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.0.2 dated 2023-08-15 and 1.0.3 dated 2023-09-19

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Package r3PG updated to version 0.1.6 with previous version 0.1.5 dated 2023-07-04

Title: Simulating Forest Growth using the 3-PG Model
Description: Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.
Author: Volodymyr Trotsiuk [aut, cre] , Florian Hartig [aut] , David Forrester [aut], Ramiro Silveyra Gonzalez [aut]
Maintainer: Volodymyr Trotsiuk <volodymyr.trotsiuk@wsl.ch>

Diff between r3PG versions 0.1.5 dated 2023-07-04 and 0.1.6 dated 2023-09-19

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Package puniform updated to version 0.2.7 with previous version 0.2.6 dated 2023-07-17

Title: Meta-Analysis Methods Correcting for Publication Bias
Description: Provides meta-analysis methods that correct for publication bias and outcome reporting bias. Four methods and a visual tool are currently included in the package. The p-uniform method as described in van Assen, van Aert, and Wicherts (2015) <doi:10.1037/met0000025> can be used for estimating the average effect size, testing the null hypothesis of no effect, and testing for publication bias using only the statistically significant effect sizes of primary studies. The second method in the package is the p-uniform* method as described in van Aert and van Assen (2023) <doi:10.31222/osf.io/zqjr9>. This method is an extension of the p-uniform method that allows for estimation of the average effect size and the between-study variance in a meta-analysis, and uses both the statistically significant and nonsignificant effect sizes. The third method in the package is the hybrid method as described in van Aert and van Assen (2018) <doi:10.3758/s13428-017-0967-6>. The hybrid metho [...truncated...]
Author: Robbie C.M. van Aert
Maintainer: Robbie C.M. van Aert <R.C.M.vanAert@tilburguniversity.edu>

Diff between puniform versions 0.2.6 dated 2023-07-17 and 0.2.7 dated 2023-09-19

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New package PRSim with initial version 1.4-4
Package: PRSim
Title: Stochastic Simulation of Streamflow Time Series using Phase Randomization
Version: 1.4-4
Date: 2023-09-18
Author: Manuela Brunner [aut, cre] , Reinhard Furrer [aut] , R Core Teamn [ctb, cph]
Maintainer: Manuela Brunner <manuela.brunner@env.ethz.ch>
Description: Provides a simulation framework to simulate streamflow time series with similar main characteristics as observed data. These characteristics include the distribution of daily streamflow values and their temporal correlation as expressed by short- and long-range dependence. The approach is based on the randomization of the phases of the Fourier transform or the phases of the wavelet transform. The function prsim() is applicable to single site simulation and uses the Fourier transform. The function prsim.wave() extends the approach to multiple sites and is based on the complex wavelet transform. The function prsim.weather() extends the approach to multiple variables for weather generation. We further use the flexible four-parameter Kappa distribution, which allows for the extrapolation to yet unobserved low and high flows. Alternatively, the empirical or any other distribution can be used. A detailed description of the simulation approach for single sites and an application example can b [...truncated...]
URL: https://git.math.uzh.ch/reinhard.furrer/PRSim-devel
BugReports: https://git.math.uzh.ch/reinhard.furrer/PRSim-devel/-/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: lattice, ismev, evd, GB2, boot, MASS
Imports: stats, methods, lmomco, mev, goftest, wavScalogram, splus2R
NeedsCompilation: yes
Packaged: 2023-09-18 09:03:40 UTC; brunnerm
Repository: CRAN
Date/Publication: 2023-09-19 09:00:14 UTC

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Package MBHdesign updated to version 2.3.14 with previous version 2.2.2 dated 2022-01-24

Title: Spatial Designs for Ecological and Environmental Surveys
Description: Provides spatially survey balanced designs using the quasi-random number method described Robinson et al. (2013) <doi:10.1111/biom.12059> and adjusted in Robinson et al. (2017) <doi:10.1016/j.spl.2017.05.004>. Designs using MBHdesign can: 1) accommodate, without substantial detrimental effects on spatial balance, legacy sites (Foster et al., 2017 <doi:10.1111/2041-210X.12782>); 2) be based on points or transects (foster et al. 2020 <doi:10.1111/2041-210X.13321> and produce clustered samples (Foster et al. (in press). Additional information about the package use itself is given in Foster (2021) <doi:10.1111/2041-210X.13535>.
Author: Scott D. Foster
Maintainer: Scott Foster <scott.foster@data61.csiro.au>

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Package htsr updated to version 2.1.1 with previous version 2.1.0 dated 2023-08-29

Title: Hydro-Meteorology Time-Series
Description: Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.
Author: Pierre Chevallier [aut, cre]
Maintainer: Pierre Chevallier <pierre.chevallier@mailo.com>

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Package collin updated to version 0.0.4 with previous version 0.0.3 dated 2023-09-18

Title: Visualization the Effects of Collinearity in Distributed Lag Models and Other Linear Models
Description: Tool to assessing whether the results of a study could be influenced by collinearity. Simulations under a given hypothesized truth regarding effects of an exposure on the outcome are used and the resulting curves of lagged effects are visualized. A user's manual is provided, which includes detailed examples (e.g. a cohort study looking for windows of vulnerability to air pollution, a time series study examining the linear association of air pollution with hospital admissions, and a time series study examining the non-linear association between temperature and mortality). The methods are described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.
Author: Jose Barrera-Gomez [aut, cre] , Xavier Basagana [aut]
Maintainer: Jose Barrera-Gomez <jose.barrera@isglobal.org>

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Package cauphy updated to version 1.0.1 with previous version 1.0.0 dated 2023-09-12

Title: Trait Evolution on Phylogenies Using the Cauchy Process
Description: The Cauchy Process can model pulsed continuous trait evolution on phylogenies. The likelihood is tractable, and is used for parameter inference and ancestral trait reconstruction. See Bastide and Didier (2023) <doi:10.1093/sysbio/syad053>.
Author: Gilles Didier [aut, cph], Paul Bastide [aut, cre]
Maintainer: Paul Bastide <paul.bastide@cnrs.fr>

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New package BsMD with initial version 2023.920
Package: BsMD
Version: 2023.920
Date: 2023-09-14
Title: Bayes Screening and Model Discrimination
Author: Ernesto Barrios based on Daniel Meyer's code.
Maintainer: Ernesto Barrios <ebarrios@itam.mx>
Description: Bayes screening and model discrimination follow-up designs.
Depends: R(>= 4.0)
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2023-09-14 05:56:45 UTC; ebarrios
Repository: CRAN
Date/Publication: 2023-09-19 09:00:18 UTC

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Package gpbStat updated to version 0.4.1 with previous version 0.4.0 dated 2023-01-09

Title: Comprehensive Statistical Analysis of Plant Breeding Experiments
Description: Performs statistical data analysis of various Plant Breeding experiments. Contains functions for Line by Tester analysis as per Arunachalam, V.(1974) <http://repository.ias.ac.in/89299/> and Diallel analysis as per Griffing, B. (1956) <https://www.publish.csiro.au/bi/pdf/BI9560463>.
Author: Nandan Patil [cre, aut] , Lakshmi R. Gangavati [aut, ctb]
Maintainer: Nandan Patil <tryanother609@gmail.com>

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Package r2redux updated to version 1.0.16 with previous version 1.0.15 dated 2023-09-01

Title: R2 Statistic
Description: R2 statistic for significance test. Variance and covariance of R2 values used to assess the 95% CI and p-value of the R2 difference.
Author: Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]
Maintainer: Moksedul Momin <cvasu.momin@gmail.com>

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Package GenSA updated to version 1.1.10.1 with previous version 1.1.10 dated 2023-09-14

Title: R Functions for Generalized Simulated Annealing
Description: Performs search for global minimum of a very complex non-linear objective function with a very large number of optima.
Author: Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.
Maintainer: Sylvain Gubian <DL.RSupport@pmi.com>

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Package fude updated to version 0.3.4 with previous version 0.3.3 dated 2023-08-18

Title: Utilities for Fude Polygon
Description: Provides utilities to facilitate handling of Fude Polygon data downloadable from the Ministry of Agriculture, Forestry and Fisheries website <https://open.fude.maff.go.jp>.
Author: Takeshi Nishimura [aut, cph, cre]
Maintainer: Takeshi Nishimura <takenishi@gmail.com>

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Package ggasym (with last version 0.1.6) was removed from CRAN

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2020-10-13 1.1.0
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2023-01-31 0.1.1
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Package fairadapt (with last version 0.2.6) was removed from CRAN

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2022-06-22 0.2.3
2022-04-28 0.2.2
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Package OBsMD (with last version 6.1) was removed from CRAN

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2010-07-07 0.3-1.2
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Package VGAM updated to version 1.1-9 with previous version 1.1-8 dated 2023-03-09

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (100+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CA [...truncated...]
Author: Thomas Yee [aut, cre] , Cleve Moler [ctb]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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Package sctransform updated to version 0.4.0 with previous version 0.3.5 dated 2022-09-21

Title: Variance Stabilizing Transformations for Single Cell UMI Data
Description: A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija (2019) <doi:10.1186/s13059-019-1874-1>, and Choudhary and Satija (2022) <doi:10.1186/s13059-021-02584-9> for more details.
Author: Christoph Hafemeister [aut] , Saket Choudhary [aut, cre] , Rahul Satija [ctb]
Maintainer: Saket Choudhary <schoudhary@nygenome.org>

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Package quarto updated to version 1.3 with previous version 1.2 dated 2022-07-06

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut, cre]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package phylosem updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-25

Title: Phylogenetic Structural Equation Model
Description: Applies phylogenetic comparative methods (PCM) and phylogenetic trait imputation using structural equation models (SEM), extending methods from Thorson et al. (2023) <doi:10.1111/2041-210X.14076>. This implementation includes a minimal set of features, to allow users to easily read all of the documentation and source code. PCM using SEM includes phylogenetic linear models and structural equation models as nested submodels, but also allows imputation of missing values. Features and comparison with other packages are described in Thorson and van der Bijl (In revisions).
Author: James Thorson [aut, cre] , Wouter van der Bijl [ctb]
Maintainer: James Thorson <James.Thorson@noaa.gov>

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Package EHRtemporalVariability (with last version 1.1.4) was removed from CRAN

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

2021-05-31 1.1.4
2020-10-09 1.1.2.1
2020-10-08 1.1.2
2020-05-25 1.1.1
2020-05-21 1.1.0
2020-03-28 1.0.4
2020-03-26 1.0.3
2019-09-26 1.0.2
2019-06-11 1.0.1
2019-03-14 1.0

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Package earthtide (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:

2023-02-08 0.1.0
2022-06-30 0.0.14
2022-04-20 0.0.12
2021-06-04 0.0.11
2020-03-13 0.0.10
2019-06-17 0.0.9
2019-06-13 0.0.8
2019-05-05 0.0.6
2019-03-28 0.0.5
2019-03-15 0.0.4

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Package ExtremalDep (with last version 0.0.4-0) was removed from CRAN

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

2023-02-26 0.0.4-0
2022-05-10 0.0.3-5

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Package BIOMASS (with last version 2.1.9) was removed from CRAN

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

2023-08-21 2.1.9

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Package Rfmtool (with last version 4.1.10) was removed from CRAN

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

2023-02-04 4.1.10
2022-11-30 4.1.9
2022-03-27 4.1.8
2022-03-21 4.1.6
2022-03-17 4.1.5
2021-07-27 4.1.4

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Package Rpadrino (with last version 0.0.4) was removed from CRAN

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

2022-04-29 0.0.4
2021-12-10 0.0.3

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