Wed, 19 Oct 2022

Package nlmixr2plot updated to version 2.0.7 with previous version 2.0.6 dated 2022-05-23

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package modelsummary updated to version 1.1.0 with previous version 1.0.2 dated 2022-07-16

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package winch updated to version 0.0.10 with previous version 0.0.9 dated 2022-09-01

Title: Portable Native and Joint Stack Traces
Description: Obtain the native stack trace and fuse it with R's stack trace for easier debugging of R packages with native code.
Author: Kirill Mueller [aut, cre] , R Consortium [fnd], Ian Lance Taylor [aut] , Free Software Foundation [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package MPV updated to version 1.59 with previous version 1.58 dated 2022-07-07

Title: Data Sets from Montgomery, Peck and Vining
Description: Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis (3rd ed), by Montgomery, Peck and Vining. Some additional data sets and functions are also included.
Author: W.J. Braun and S. MacQueen
Maintainer: W.J. Braun <john.braun@ubc.ca>

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Package origami updated to version 1.0.7 with previous version 1.0.5 dated 2021-09-28

Title: Generalized Framework for Cross-Validation
Description: A general framework for the application of cross-validation schemes to particular functions. By allowing arbitrary lists of results, origami accommodates a range of cross-validation applications. This implementation was first described by Coyle and Hejazi (2018) <doi:10.21105/joss.00512>.
Author: Jeremy Coyle [aut, cre, cph] , Nima Hejazi [aut] , Ivana Malenica [aut] , Rachael Phillips [aut]
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>

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Package nlmixr2extra updated to version 2.0.7 with previous version 2.0.6 dated 2022-05-17

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package monomvn updated to version 1.9-16 with previous version 1.9-15 dated 2022-04-06

Title: Estimation for MVN and Student-t Data with Monotone Missingness
Description: Estimation of multivariate normal (MVN) and student-t data of arbitrary dimension where the pattern of missing data is monotone. See Pantaleo and Gramacy (2010) <arXiv:0907.2135>. Through the use of parsimonious/shrinkage regressions (plsr, pcr, lasso, ridge, etc.), where standard regressions fail, the package can handle a nearly arbitrary amount of missing data. The current version supports maximum likelihood inference and a full Bayesian approach employing scale-mixtures for Gibbs sampling. Monotone data augmentation extends this Bayesian approach to arbitrary missingness patterns. A fully functional standalone interface to the Bayesian lasso (from Park & Casella), Normal-Gamma (from Griffin & Brown), Horseshoe (from Carvalho, Polson, & Scott), and ridge regression with model selection via Reversible Jump, and student-t errors (from Geweke) is also provided.
Author: Robert B. Gramacy <rbg@vt.edu>, with Fortran contributions from Cleve Moler as updated by Berwin A. Turlach
Maintainer: Robert B. Gramacy <rbg@vt.edu>

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Package heplots updated to version 1.4-2 with previous version 1.4-1 dated 2022-10-01

Title: Visualizing Hypothesis Tests in Multivariate Linear Models
Description: Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Author: Michael Friendly [aut, cre] , John Fox [aut] , Georges Monette [aut], Phil Chalmers [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package baffle updated to version 0.2.1 with previous version 0.2.0 dated 2022-08-23

Title: Make Waffle Plots with Base Graphics
Description: Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squares or other symbol. This makes them better at transmitting information as the discrete number of squares is easier to read than the circular area of pie charts. While the original waffle charts were rectangular with 10 rows and columns, with a single square representing 1%, they are nowadays popular in various infographics to visualize any proportional ratios.
Author: Jiri Moravec [aut, cre]
Maintainer: Jiri Moravec <jiri.c.moravec@gmail.com>

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Package sparseHessianFD updated to version 0.3.3.7 with previous version 0.3.3.6 dated 2022-08-16

Title: Numerical Estimation of Sparse Hessians
Description: Estimates Hessian of a scalar-valued function, and returns it in a sparse Matrix format. The sparsity pattern must be known in advance. The algorithm is especially efficient for hierarchical models with a large number of heterogeneous units. See Braun, M. (2017) <doi:10.18637/jss.v082.i10>.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

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Package RNeXML updated to version 2.4.8 with previous version 2.4.7 dated 2022-05-13

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut] , Scott Chamberlain [aut] , Hilmar Lapp [aut] , Kseniia Shumelchyk [aut], Rutger Vos [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package mirai updated to version 0.7.0 with previous version 0.6.0 dated 2022-09-16

Title: Minimalist Async Evaluation Framework for R
Description: Simple and lightweight parallelism and concurrent code execution, local or distributed across the network, built on 'nanonext' and 'NNG' (Nanomsg Next Gen) technology.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package delayed updated to version 0.4.0 with previous version 0.3.0 dated 2020-02-28

Title: A Framework for Parallelizing Dependent Tasks
Description: Mechanisms to parallelize dependent tasks in a manner that optimizes the compute resources available. It provides access to "delayed" computations, which may be parallelized using futures. It is, to an extent, a facsimile of the 'Dask' library (<https://www.dask.org/>), for the 'Python' language.
Author: Jeremy Coyle [aut, cre, cph] , Nima Hejazi [ctb]
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>

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Package car updated to version 3.1-1 with previous version 3.1-0 dated 2022-06-15

Title: Companion to Applied Regression
Description: Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [c [...truncated...]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package sarsop updated to version 0.6.13 with previous version 0.6.12 dated 2022-10-12

Title: Approximate POMDP Planning Software
Description: A toolkit for Partially Observed Markov Decision Processes (POMDP). Provides bindings to C++ libraries implementing the algorithm SARSOP (Successive Approximations of the Reachable Space under Optimal Policies) and described in Kurniawati et al (2008), <doi:10.15607/RSS.2008.IV.009>. This package also provides a high-level interface for generating, solving and simulating POMDP problems and their solutions.
Author: Carl Boettiger [cre, aut, cph] , Jeroen Ooms [aut], Milad Memarzadeh [aut], Hanna Kurniawati [ctb, cph], David Hsu [ctb, cph], Hanna Kurniawati [ctb, cph], Wee Sun Lee [ctb, cph], Yanzhu Du [ctb], Xan Huang [ctb], Trey Smith [ctb, cph], Tony Cassandr [...truncated...]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package MHCtools updated to version 1.5.0 with previous version 1.4.3 dated 2022-08-15

Title: Analysis of MHC Data in Non-Model Species
Description: Fifteen tools for bioinformatics processing and analysis of major histocompatibility complex (MHC) data. The functions are tailored for amplicon data sets that have been filtered using the dada2 method (for more information on dada2, visit <https://benjjneb.github.io/dada2/> ), but even other types of data sets can be analyzed. The ReplMatch() function matches replicates in data sets in order to evaluate genotyping success. The GetReplTable() and GetReplStats() functions perform such an evaluation. The CreateFas() function creates a fasta file with all the sequences in the data set. The CreateSamplesFas() function creates individual fasta files for each sample in the data set. The DistCalc() function calculates Grantham, Sandberg, or p-distances from pairwise comparisons of all sequences in a data set, and mean distances of all pairwise comparisons within each sample in a data set. The function additionally outputs five tables with physico-chemical z-descriptor values (based on S [...truncated...]
Author: Jacob Roved [aut, cre]
Maintainer: Jacob Roved <jacob.roved@biol.lu.se>

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Package fixest updated to version 0.11.0 with previous version 0.10.4 dated 2022-03-31

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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More information about fixest at CRAN
Permanent link

Package collections updated to version 0.3.6 with previous version 0.3.5 dated 2020-08-10

Title: High Performance Container Data Types
Description: Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] , Yann Collet [cph]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between collections versions 0.3.5 dated 2020-08-10 and 0.3.6 dated 2022-10-19

 DESCRIPTION       |   13 +++++------
 MD5               |   12 +++++-----
 README.md         |   60 +++++++++++++++++++++++++++++++++++-------------------
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More information about collections at CRAN
Permanent link

Package sorcering updated to version 0.9.2.2 with previous version 0.9.2 dated 2021-08-02

Title: Soil Organic Carbon and CN Ratio Driven Nitrogen Modelling Framework
Description: Can be used to model the fate of soil organic carbon and soil organic nitrogen and to calculate N mineralisation rates. Provides a framework that numerically solves differential equations of soil organic carbon models based on first-order kinetics and extends these models to include the nitrogen component. The name 'sorcering' is an acronym for 'Soil ORganic Carbon & CN Ratio drIven Nitrogen modellinG framework'.
Author: Marc Scherstjanoi [aut, cre], Rene Dechow [aut]
Maintainer: Marc Scherstjanoi <marc.scherstjanoi@thuenen.de>

Diff between sorcering versions 0.9.2 dated 2021-08-02 and 0.9.2.2 dated 2022-10-19

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More information about sorcering at CRAN
Permanent link

New package OpenML with initial version 1.12
Package: OpenML
Title: Open Machine Learning and Open Data Platform
Description: We provide an R interface to 'OpenML.org' which is an online machine learning platform where researchers can access open data, download and upload data sets, share their machine learning tasks and experiments and organize them online to work and collaborate with other researchers. The R interface allows to query for data sets with specific properties, and allows the downloading and uploading of data sets, tasks, flows and runs. See <https://www.openml.org/guide/api> for more information.
Author: Giuseppe Casalicchio <giuseppe.casalicchio@stat.uni-muenchen.de>, Bernd Bischl <bernd_bischl@gmx.net>, Dominik Kirchhoff <dom.kirchhoff@gmail.com>, Michel Lang <michellang@gmail.com>, Benjamin Hofner <benjamin.hofner@fau.de>, Jakob Bossek <j.bossek@g [...truncated...]
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio@stat.uni-muenchen.de>
License: BSD_3_clause + file LICENSE
URL: https://github.com/openml/openml-r
BugReports: https://github.com/openml/openml-r/issues
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), mlr (>= 2.15), ParamHelpers (>= 1.10), randomForest, rpart, RWeka, xml2, farff, knitr, rmarkdown, R.rsp, rex
Imports: backports (>= 1.1.0), BBmisc (>= 1.11), checkmate (>= 1.8.2), data.table, digest, httr (>= 1.4.1), stringi, XML, jsonlite, memoise (>= 1.0.0), stats, curl (>= 4.1)
ByteCompile: yes
Version: 1.12
VignetteBuilder: R.rsp
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-19 19:11:07 UTC; GDaddy
Repository: CRAN
Date/Publication: 2022-10-19 20:27:50 UTC

More information about OpenML at CRAN
Permanent link

Package nlmixr2est updated to version 2.1.0 with previous version 2.0.8 dated 2022-06-22

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 2.0.8 dated 2022-06-22 and 2.1.0 dated 2022-10-19

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More information about nlmixr2est at CRAN
Permanent link

Package gstsm updated to version 1.0.0 with previous version 0.0.1 dated 2021-11-08

Title: Generalized Spatial-Time Sequence Miner
Description: Implementations of the algorithms present article Generalized Spatial-Time Sequence Miner, original title (Castro, Antonio; Borges, Heraldo ; Pacitti, Esther ; Porto, Fabio ; Coutinho, Rafaelli ; Ogasawara, Eduardo . Generalização de Mineração de Sequências Restritas no Espaço e no Tempo. In: XXXVI SBBD - Simpósio Brasileiro de Banco de Dados, 2021 <doi:10.5753/sbbd.2021.17891>).
Author: Antonio Castro [aut, cre], Cassio Souza [aut, ctb], Jorge Rodrigues [aut, ctb], Esther Pacitti [aut], Fabio Porto [aut], Florent Masseglia [aut], Rafaelli Coutinho [aut, ths], Eduardo Ogasawara [aut, ths] , Federal Center for Technological Education [...truncated...]
Maintainer: Antonio Castro <gstsm@eic.cefet-rj.br>

Diff between gstsm versions 0.0.1 dated 2021-11-08 and 1.0.0 dated 2022-10-19

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More information about gstsm at CRAN
Permanent link

Package forestploter updated to version 0.2.2 with previous version 0.2.1 dated 2022-09-29

Title: Create Flexible Forest Plot
Description: Create forest plot based on the layout of the data. Confidence interval in multiple columns by groups can be done easily. Editing plot, inserting/adding text, applying theme to the plot and much more.
Author: Alimu Dayimu [aut, cre]
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>

Diff between forestploter versions 0.2.1 dated 2022-09-29 and 0.2.2 dated 2022-10-19

 DESCRIPTION                                                            |    6 
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 R/legend_grob.R                                                        |   26 
 R/makeci.R                                                             |   23 
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More information about forestploter at CRAN
Permanent link

Package crypto2 updated to version 1.4.5 with previous version 1.4.4 dated 2022-07-18

Title: Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. All data is scraped from <https://coinmarketcap.com> via their 'web-api'.
Author: Sebastian Stoeckl [aut, cre] , Jesse Vent [ctb]
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 1.4.4 dated 2022-07-18 and 1.4.5 dated 2022-10-19

 DESCRIPTION                 |   10 -
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More information about crypto2 at CRAN
Permanent link

Package RcppQuantuccia updated to version 0.1.1 with previous version 0.1.0 dated 2021-10-30

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an updated variant of the header-only 'Quantuccia' project (put together initially by Peter Caspers) offering an essential subset of 'QuantLib' (and now maintained separately for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to both 'QuantLib' and 'Quantuccia'.
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppQuantuccia versions 0.1.0 dated 2021-10-30 and 0.1.1 dated 2022-10-19

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More information about RcppQuantuccia at CRAN
Permanent link

Package qlcal updated to version 0.0.3 with previous version 0.0.2 dated 2022-01-21

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.0.2 dated 2022-01-21 and 0.0.3 dated 2022-10-19

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Package pomdpSolve updated to version 1.0.1 with previous version 1.0.0 dated 2022-02-08

Title: Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes
Description: Installs an updated version of 'pomdp-solve', a program to solve Partially Observable Markov Decision Processes (POMDPs) using a variety of exact and approximate value iteration algorithms. A convenient R infrastructure is provided in package pomdp. Kaelbling, Littman and Cassandra (1998) <doi:10.1016/S0004-3702(98)00023-X>.
Author: Michael Hahsler [aut, cph, cre] , Anthony R. Cassandra [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between pomdpSolve versions 1.0.0 dated 2022-02-08 and 1.0.1 dated 2022-10-19

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Package openairmaps updated to version 0.5.0 with previous version 0.4.3 dated 2022-09-13

Title: Create Interactive Web Maps of Air Pollution Data
Description: Combine the air quality data analysis methods of 'openair' with the JavaScript 'Leaflet' (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.
Author: Jack Davison [cre, aut], David Carslaw [aut]
Maintainer: Jack Davison <davison.jack.jd@gmail.com>

Diff between openairmaps versions 0.4.3 dated 2022-09-13 and 0.5.0 dated 2022-10-19

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Package move updated to version 4.1.10 with previous version 4.1.8 dated 2022-06-01

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between move versions 4.1.8 dated 2022-06-01 and 4.1.10 dated 2022-10-19

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Permanent link

Package learnr updated to version 0.11.1 with previous version 0.11.0 dated 2022-10-16

Title: Interactive Tutorials for R
Description: Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Author: Garrick Aden-Buie [aut, cre] , Barret Schloerke [aut] , JJ Allaire [aut, ccp], Alexander Rossell Hayes [ctb] , Nischal Shrestha [ctb] , Angela Li [ctb] , RStudio [cph, fnd], Ajax.org B.V. [ctb, cph] , Zeno Rocha [ctb, cph] , Nick Payne [ctb, cph] , J [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@rstudio.com>

Diff between learnr versions 0.11.0 dated 2022-10-16 and 0.11.1 dated 2022-10-19

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Package RSEIS updated to version 4.1-4 with previous version 4.1-1 dated 2022-05-16

Title: Seismic Time Series Analysis Tools
Description: Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Leonard Lisapaly [ctb], Dave Harris [aut, cph]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

Diff between RSEIS versions 4.1-1 dated 2022-05-16 and 4.1-4 dated 2022-10-19

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New package PolycrossDesigns with initial version 1.0.0
Package: PolycrossDesigns
Title: Polycross Designs ("PolycrossDesigns"")
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: A polycross is the pollination by natural hybridization of a group of genotypes, generally selected, grown in isolation from other compatible genotypes in such a way to promote random open pollination. A particular practical application of the polycross method occurs in the production of a synthetic variety resulting from cross-pollinated plants. Laying out these experiments in appropriate designs, known as polycross designs, would not only save experimental resources but also gather more information from the experiment. Different experimental situations may arise in polycross nurseries which may be requiring different polycross designs (Varghese et. al. (2015) <doi:10.1080/02664763.2015.1043860>. " Experimental designs for open pollination in polycross trials"). This package contains a function named PD() which generates nine types of polycross designs suitable for various experimental situations.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-10-19 13:00:49 UTC; Ashutosh
Author: Cini Varghese [aut, ctb], Seema Jaggi [aut, ctb], Eldho Varghese [aut, ctb], Ashutosh Dalal [aut, cre], Arpan Bhowmik [aut]
Date/Publication: 2022-10-19 18:27:52 UTC

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New package ontologics with initial version 0.5.2
Package: ontologics
Title: Code-Logics to Handle Ontologies
Version: 0.5.2
Description: Provides tools to build and work with an ontology of linked (open) data in a tidy workflow. It is inspired by the Food and Agrilculture Organizations (FAO) caliper platform <https://www.fao.org/statistics/caliper/web/> and makes use of the Simple Knowledge Organisation System (SKOS).
URL: https://github.com/luckinet/ontologics
BugReports: https://github.com/luckinet/ontologics/issues
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
Imports: checkmate, dplyr, httr, magrittr, methods, purrr, readr, rlang, stringr, tibble, tidyr, tidyselect, rdflib
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-19 15:32:48 UTC; se87kuhe
Author: Steffen Ehrmann [aut, cre] , Arne Ruemmler [aut, ctb]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>
Repository: CRAN
Date/Publication: 2022-10-19 18:32:36 UTC

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Package Rwave updated to version 2.6-4 with previous version 2.6-0 dated 2021-09-29

Title: Time-Frequency Analysis of 1-D Signals
Description: A set of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.
Author: Rene Carmona [aut], Bruno Torresani [aut], Brandon Whitcher [ctb], Andrea Wang [ctb], Wen-Liang Hwang [ctb], Robert Alberts [ctb], Jonathan M. Lees [ctb, cre]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

Diff between Rwave versions 2.6-0 dated 2021-09-29 and 2.6-4 dated 2022-10-19

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Package dynaTree updated to version 1.2-14 with previous version 1.2-13 dated 2022-06-13

Title: Dynamic Trees for Learning and Design
Description: Inference by sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential design and optimization, fully online learning with drift, variable selection, and sensitivity analysis of inputs. Illustrative examples from the original dynamic trees paper (Gramacy, Taddy & Polson (2011); <doi:10.1198/jasa.2011.ap09769>) are facilitated by demos in the package; see demo(package="dynaTree").
Author: Robert B. Gramacy <rbg@vt.edu>, Matt A. Taddy and Christoforos Anagnostopoulos
Maintainer: Robert B. Gramacy <rbg@vt.edu>

Diff between dynaTree versions 1.2-13 dated 2022-06-13 and 1.2-14 dated 2022-10-19

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Package autoRasch updated to version 0.2.2 with previous version 0.1.5 dated 2022-02-28

Title: Semi-Automated Rasch Analysis
Description: Performs Rasch analysis (semi-)automatically, which has been shown to be comparable with the standard Rasch analysis (Feri Wijayanto et al. (2021) <doi:10.1111/bmsp.12218>, Feri Wijayanto et al. (2022) <doi:10.3758/s13428-022-01947-9>, Feri Wijayanto et al. (2022) <doi:10.1177/01466216221125178>).
Author: Feri Wijayanto [aut, cre], Ioan Gabriel Bucur [aut], Perry Groot [aut], Tom Heskes [aut], Karlien Mul [ctb], Baziel G.M. van Engelen [ctb]
Maintainer: Feri Wijayanto <f.wijayanto@cs.ru.nl>

Diff between autoRasch versions 0.1.5 dated 2022-02-28 and 0.2.2 dated 2022-10-19

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Package AgroReg updated to version 1.2.7 with previous version 1.2.6 dated 2022-07-11

Title: Regression Analysis Linear and Nonlinear for Agriculture
Description: Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.
Author: Gabriel Danilo Shimizu [aut, cre] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>

Diff between AgroReg versions 1.2.6 dated 2022-07-11 and 1.2.7 dated 2022-10-19

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Package MSEtool updated to version 3.6.0 with previous version 3.5.0 dated 2022-06-07

Title: Management Strategy Evaluation Toolkit
Description: Development, simulation testing, and implementation of management procedures for fisheries (see Carruthers & Hordyk (2018) <doi:10.1111/2041-210X.13081>).
Author: Adrian Hordyk [aut, cre], Quang Huynh [aut], Tom Carruthers [aut], Chris Grandin [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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Package iglu updated to version 3.3.2 with previous version 3.3.0 dated 2021-12-21

Title: Interpreting Glucose Data from Continuous Glucose Monitors
Description: Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.
Author: Steve Broll [aut], David Buchanan [aut], Elizabeth Chun [aut], John Muschelli [aut] , Nathaniel Fernandes [aut], Jung Hoon Seo [aut], Johnathan Shih [aut], Jacek Urbanek [aut], John Schwenck [aut], Marielle Hicban [ctb], Mary Martin [ctb], Pratik Pat [...truncated...]
Maintainer: Irina Gaynanova <irinag@stat.tamu.edu>

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Package HelpersMG updated to version 5.7 with previous version 5.6 dated 2022-09-06

Title: Tools for Environmental Analyses, Ecotoxicology and Various R Functions
Description: Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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Package COUSCOus (with last version 1.0.0) was removed from CRAN

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

2016-02-28 1.0.0

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Package RMixtCompIO updated to version 4.0.8 with previous version 4.0.7 dated 2022-01-17

Title: Minimal Interface of the C++ 'MixtComp' Library for Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ 'MixtComp' library.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Patrick Wieschollek [ctb] , Tobias Wood [ctb] , Julien Vandaele [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package plgp updated to version 1.1-12 with previous version 1.1-11 dated 2022-06-10

Title: Particle Learning of Gaussian Processes
Description: Sequential Monte Carlo (SMC) inference for fully Bayesian Gaussian process (GP) regression and classification models by particle learning (PL) following Gramacy & Polson (2011) <arXiv:0909.5262>. The sequential nature of inference and the active learning (AL) hooks provided facilitate thrifty sequential design (by entropy) and optimization (by improvement) for classification and regression models, respectively. This package essentially provides a generic PL interface, and functions (arguments to the interface) which implement the GP models and AL heuristics. Functions for a special, linked, regression/classification GP model and an integrated expected conditional improvement (IECI) statistic provide for optimization in the presence of unknown constraints. Separable and isotropic Gaussian, and single-index correlation functions are supported. See the examples section of ?plgp and demo(package="plgp") for an index of demos.
Author: Robert B. Gramacy <rbg@vt.edu>
Maintainer: Robert B. Gramacy <rbg@vt.edu>

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Package markdown updated to version 1.2 with previous version 1.1 dated 2019-08-07

Title: Render Markdown with the C Library 'Sundown'
Description: Provides R bindings to the 'Sundown' Markdown rendering library (<https://github.com/vmg/sundown>). Markdown is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See <https://en.wikipedia.org/wiki/Markdown> for more information about Markdown.
Author: JJ Allaire [aut], Jeffrey Horner [aut], Yihui Xie [aut, cre] , Henrik Bengtsson [ctb], Jim Hester [ctb], Yixuan Qiu [ctb], Kohske Takahashi [ctb], Adam November [ctb], Nacho Caballero [ctb], Jeroen Ooms [ctb], Thomas Leeper [ctb], Joe Cheng [ctb], An [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package tm updated to version 0.7-9 with previous version 0.7-8 dated 2020-11-18

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut, cre] , Kurt Hornik [aut] , Artifex Software, Inc. [ctb, cph]
Maintainer: Ingo Feinerer <feinerer@logic.at>

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Package ReDaMoR updated to version 0.7.1 with previous version 0.6.5 dated 2022-09-05

Title: Relational Data Modeler
Description: The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between ReDaMoR versions 0.6.5 dated 2022-09-05 and 0.7.1 dated 2022-10-19

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Package PolygonSoup updated to version 1.0.1 with previous version 1.0.0 dated 2022-10-18

Title: Mesh from Polygon Soup
Description: Allows to get a consistent 3D mesh from a polygon soup, that is an unorganized set of polygons. The mesh can be triangulated and its exterior edges are computed.
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between PolygonSoup versions 1.0.0 dated 2022-10-18 and 1.0.1 dated 2022-10-19

 DESCRIPTION      |    8 ++++----
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Package panelvar updated to version 0.5.4 with previous version 0.5.3 dated 2021-01-27

Title: Panel Vector Autoregression
Description: We extend two general methods of moment estimators to panel vector autoregression models (PVAR) with p lags of endogenous variables, predetermined and strictly exogenous variables. This general PVAR model contains the first difference GMM estimator by Holtz-Eakin et al. (1988) <doi:10.2307/1913103>, Arellano and Bond (1991) <doi:10.2307/2297968> and the system GMM estimator by Blundell and Bond (1998) <doi:10.1016/S0304-4076(98)00009-8>. We also provide specification tests (Hansen overidentification test, lag selection criterion and stability test of the PVAR polynomial) and classical structural analysis for PVAR models such as orthogonal and generalized impulse response functions, bootstrapped confidence intervals for impulse response analysis and forecast error variance decompositions.
Author: Michael Sigmund [aut], Robert Ferstl [aut, cre]
Maintainer: Robert Ferstl <robert.ferstl@ur.de>

Diff between panelvar versions 0.5.3 dated 2021-01-27 and 0.5.4 dated 2022-10-19

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Package adephylo updated to version 1.1-13 with previous version 1.1-11 dated 2017-12-18

Title: Exploratory Analyses for the Phylogenetic Comparative Method
Description: Multivariate tools to analyze comparative data, i.e. a phylogeny and some traits measured for each taxa.
Author: Thibaut Jombart <t.jombart@imperial.ac.uk>, Stephane Dray <stephane.dray@univ-lyon1.fr>, Anders Ellern Bilgrau <abilgrau@math.aau.dk>
Maintainer: Stephane Dray <stephane.dray@univ-lyon1.fr>

Diff between adephylo versions 1.1-11 dated 2017-12-18 and 1.1-13 dated 2022-10-19

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Package geodist updated to version 0.0.8 with previous version 0.0.7 dated 2021-01-27

Title: Fast, Dependency-Free Geodesic Distance Calculations
Description: Dependency-free, ultra fast calculation of geodesic distances. Includes the reference nanometre-accuracy geodesic distances of Karney (2013) <doi:10.1007/s00190-012-0578-z>, as used by the 'sf' package, as well as Haversine and Vincenty distances. Default distance measure is the "Mapbox cheap ruler" which is generally more accurate than Haversine or Vincenty for distances out to a few hundred kilometres, and is considerably faster. The main function accepts one or two inputs in almost any generic rectangular form, and returns either matrices of pairwise distances, or vectors of sequential distances.
Author: Mark Padgham [aut, cre], Michael D. Sumner [aut], Charles F.F Karney [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between geodist versions 0.0.7 dated 2021-01-27 and 0.0.8 dated 2022-10-19

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Package diemr updated to version 1.1 with previous version 1.0 dated 2022-03-29

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2022) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between diemr versions 1.0 dated 2022-03-29 and 1.1 dated 2022-10-19

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 diemr-1.1/diemr/DESCRIPTION                                                       |   13 
 diemr-1.1/diemr/MD5                                                               |   39 
 diemr-1.1/diemr/NAMESPACE                                                         |    1 
 diemr-1.1/diemr/NEWS.md                                                           |   15 
 diemr-1.1/diemr/R/CheckDiemFormat.r                                               |    2 
 diemr-1.1/diemr/R/diem.r                                                          |   18 
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 diemr-1.1/diemr/R/pHetErrOnStateCount.r                                           |    2 
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New package treemisc with initial version 0.0.1
Package: treemisc
Title: Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R"
Version: 0.0.1
Description: Miscellaneous data sets and functions to accompany Greenwell (2022) "Tree-Based Methods for Statistical Learning in R" <doi:10.1201/9781003089032>.
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: Matrix, Rcpp (>= 1.0.1), rpart, stats, utils
Suggests: AmesHousing, gbm, glmnet (>= 3.0), graphics, mlbench, party, partykit, randomForest, ranger, rpart.plot, tinytest
LinkingTo: Rcpp
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-10-18 12:14:08 UTC; bgreenwell
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-19 10:10:02 UTC

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New package traudem with initial version 1.0.1
Package: traudem
Title: Use TauDEM
Version: 1.0.1
Description: Simple trustworthy utility functions to use TauDEM (Terrain Analysis Using Digital Elevation Models <https://hydrology.usu.edu/taudem/taudem5/>) command-line interface. This package provides a guide to installation of TauDEM and its dependencies GDAL (Geopatial Data Abstraction Library) and MPI (Message Passing Interface) for different operating systems. Moreover, it checks that TauDEM and its dependencies are correctly installed and included to the PATH, and it provides wrapper commands for calling TauDEM methods from R.
License: MIT + file LICENSE
URL: https://lucarraro.github.io/traudem/, https://github.com/lucarraro/traudem
BugReports: https://github.com/lucarraro/traudem/issues
Imports: cli, purrr, rlang, sys, tools, withr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), terra, shapefiles, sf, elevatr, fs
VignetteBuilder: knitr
Config/Needs/website: usethis
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-18 14:15:43 UTC; maelle
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd], Maelle Salmon [aut] , Wael Sadek [aut], Kirill Mueller [aut]
Maintainer: Luca Carraro <Luca.Carraro@eawag.ch>
Repository: CRAN
Date/Publication: 2022-10-19 10:20:02 UTC

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Package spatstat.utils updated to version 3.0-1 with previous version 2.3-1 dated 2022-05-06

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' family of packages which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 2.3-1 dated 2022-05-06 and 3.0-1 dated 2022-10-19

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Package rxode2 updated to version 2.0.9 with previous version 2.0.8 dated 2022-09-22

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Melissa Hallow [aut], Wenping Wang [aut], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Cleve Moler [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Gilber [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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More information about rxode2 at CRAN
Permanent link

Package rstream updated to version 1.3.7 with previous version 1.3.6 dated 2020-02-03

Title: Streams of Random Numbers
Description: Unified object oriented interface for multiple independent streams of random numbers from different sources.
Author: Josef Leydold <josef.leydold@wu.ac.at>
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

Diff between rstream versions 1.3.6 dated 2020-02-03 and 1.3.7 dated 2022-10-19

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Permanent link

Package paletteer updated to version 1.5.0 with previous version 1.4.1 dated 2022-10-16

Title: Comprehensive Collection of Color Palettes
Description: The choices of color palettes in R can be quite overwhelming with palettes spread over many packages with many different API's. This packages aims to collect all color palettes across the R ecosystem under the same package with a streamlined API.
Author: See AUTHORS file.
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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New package prolific.api with initial version 0.5
Package: prolific.api
Title: A User-Friendly Interface for Accessing the Prolific API
Version: 0.5
Description: A user-friendly interface for creating and managing empirical crowd-sourcing studies via API access to <https://www.prolific.co>.
License: GPL (>= 3)
Imports: data.table, jsonlite, methods, utils
SystemRequirements: curl (https://curl.se/)
Encoding: UTF-8
Suggests: htmltools, knitr, reactable, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-18 12:56:46 UTC; simonlenau
Author: Simon Lenau [aut, cre]
Maintainer: Simon Lenau <lenau@cispa.de>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-10-19 10:22:40 UTC

More information about prolific.api at CRAN
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Package OpenMx updated to version 2.20.7 with previous version 2.20.6 dated 2022-03-09

Title: Extended Structural Equation Modelling
Description: Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <http://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.
Author: Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], [...truncated...]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between OpenMx versions 2.20.6 dated 2022-03-09 and 2.20.7 dated 2022-10-19

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New package MSTest with initial version 0.1.0
Package: MSTest
Title: Hypothesis Testing for Markov Switching Models
Date: 2022-10-11
Version: 0.1.0
Maintainer: Gabriel Rodriguez Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>
Description: Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez Rondon & Dufour (2022) <https://grodriguezrondon.com/research/> that can be used to identify the number of regimes in Markov switching models.
License: GPL (>= 3)
LazyData: TRUE
Encoding: UTF-8
URL: https://github.com/roga11/MSTest
Imports: stats, rlang, nloptr, Rcpp (>= 1.0.1), numDeriv, lmf, foreach, GenSA, pso, GA
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.0.0)
NeedsCompilation: yes
Packaged: 2022-10-18 14:34:50 UTC; grodriguezrondon
Author: Gabriel Rodriguez Rondon [cre, aut], Jean-Marie Dufour [aut]
Repository: CRAN
Date/Publication: 2022-10-19 10:27:59 UTC

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New package covidmx with initial version 0.7.2
Package: covidmx
Title: Descarga y analiza datos de COVID-19 en México
Version: 0.7.2
Description: Herramientas para el análisis de datos de COVID-19 en México. Descarga y analiza los datos para COVID-19 de la Direccion General de Epidemiología de México (DGE) <https://www.gob.mx/salud/documentos/datos-abiertos-152127>, la Red de Infecciones Respiratorias Agudas Graves (Red IRAG) <https://www.gits.igg.unam.mx/red-irag-dashboard/reviewHome> y la Iniciativa Global para compartir todos los datos de influenza (GISAID) <https://www.gisaid.org/>. English: Downloads and analyzes data of COVID-19 from the Mexican General Directorate of Epidemiology (DGE), the Network of Severe Acute Respiratory Infections (IRAG network),and the Global Initiative on Sharing All Influenza Data GISAID.
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
Imports: cli, DBI, dplyr, duckdb (>= 0.4.0), fs, pins (>= 1.0.1), RCurl, readr, readxl, rlang, stats, stringr, tibble, tidyr, tools
Suggests: covr, cowplot, crayon, dbplyr, EpiEstim, ggformula, ggplot2, ggstream, ggtext (>= 0.1.0), glue, lubridate, MetBrewer, remotes, rmarkdown, rstudioapi, scales, sessioninfo, testthat (>= 3.0.0), tidyverse, usethis
URL: https://github.com/RodrigoZepeda/covidmx, https://rodrigozepeda.github.io/covidmx/
BugReports: https://github.com/RodrigoZepeda/covidmx/issues
Depends: R (>= 4.2.0)
LazyData: true
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2022-10-18 14:34:35 UTC; rod
Author: Rodrigo Zepeda-Tello [aut, cre] , Mauricio Hernandez-Avila [aut], Alberto Almuina [ctb] , Jonah Gabry [ctb] , Rok Česnovar [ctb] , Ben Bales [ctb] , Mitzi Morris [ctb] , Mikhail Popov [ctb] , Mike Lawrence [ctb] , William Michael Landau [ctb] , Jacob [...truncated...]
Maintainer: Rodrigo Zepeda-Tello <rzepeda17@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-19 10:35:11 UTC

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New package campaignmanageR with initial version 0.1.0
Package: campaignmanageR
Title: Connect to Campaign Manager via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect marketing data from Campaign Manager using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-10-18 16:44:06 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-10-19 10:35:15 UTC

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Package Brobdingnag updated to version 1.2-9 with previous version 1.2-7 dated 2022-02-03

Title: Very Large Numbers in R
Description: Very large numbers in R. Real numbers are held using their natural logarithms, plus a logical flag indicating sign. Functionality for complex numbers is also provided. The package includes a vignette that gives a step-by-step introduction to using S4 methods.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between Brobdingnag versions 1.2-7 dated 2022-02-03 and 1.2-9 dated 2022-10-19

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New package AlphaHull3D with initial version 1.0.0
Package: AlphaHull3D
Title: Alpha Hull Computation
Version: 1.0.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Computation of the alpha hull of a set of points in the 3D space, that is to say "something like the shape formed by these points". The alpha hull depends on a positive parameter alpha. When alpha goes to zero, the alpha hull degenerates to the set of points, while it is the convex hull of the set of points when alpha goes to infinity. Computations are performed by the 'CGAL' 'C++' library <https://www.cgal.org/>.
License: GPL-3
Imports: Rcpp (>= 1.0.9), rgl, Rvcg
Suggests: uniformly
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
URL: https://github.com/stla/AlphaHull3D
BugReports: https://github.com/stla/AlphaHull3D/issues
SystemRequirements: C++ 14, gmp, mpfr
NeedsCompilation: yes
Packaged: 2022-10-18 13:29:54 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2022-10-19 10:28:03 UTC

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Package adespatial updated to version 0.3-20 with previous version 0.3-19 dated 2022-09-02

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray, David Bauman, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stephane Dray <stephane.dray@univ-lyon1.fr>

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Package lintr updated to version 3.0.2 with previous version 3.0.1 dated 2022-09-13

Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
Author: Jim Hester [aut, cre], Florent Angly [aut] , Russ Hyde [aut], Michael Chirico [aut], Kun Ren [aut], Alexander Rosenstock [aut] , Indrajeet Patil [aut]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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New package ISEtools with initial version 3.2.0
Package: ISEtools
Title: Ion Selective Electrodes Analysis Methods
Version: 3.2.0
Date: 2022-10-14
Author: Peter Dillingham [aut, cre], Christina McGraw [ctb], Aleksandar Radu [ctb], Basim Alsaedi [ctb]
Maintainer: Peter Dillingham <peter.dillingham@otago.ac.nz>
Description: Characterisation and calibration of single or multiple Ion Selective Electrodes (ISEs); activity estimation of experimental samples. Implements methods described in: Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and McGraw, C.M. (2012) <doi:10.1002/elan.201100510>, Dillingham, P.W., Alsaedi, B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>, Dillingham, P.W., Alsaedi, B.S.O., Radu, A., and McGraw, C.M. (2019) <doi:10.3390/s19204544>, and Dillingham, P.W., Alsaedi, B.S.O., Granados-Focil, S., Radu, A., and McGraw, C.M. (2020) <doi:10.1021/acssensors.9b02133>.
Depends: coda
Imports: graphics, stats, utils
Suggests: R2OpenBUGS, rjags, boot, R.rsp
VignetteBuilder: R.rsp
SystemRequirements: OpenBUGS (>=3.0) or JAGS (>=4.3.1)
License: GPL-2
NeedsCompilation: no
Packaged: 2022-10-14 22:36:24 UTC; dillingh
Repository: CRAN
Date/Publication: 2022-10-19 09:17:57 UTC

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Package gstat updated to version 2.1-0 with previous version 2.0-9 dated 2022-03-14

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package ffsimulator updated to version 1.2.2 with previous version 1.2.1 dated 2022-08-14

Title: Simulate Fantasy Football Seasons
Description: Uses bootstrap resampling to run fantasy football season simulations supported by historical rankings and 'nflfastR' data, calculating optimal lineups, and returning aggregated results.
Author: Tan Ho [aut, cre, cph]
Maintainer: Tan Ho <tan@tanho.ca>

Diff between ffsimulator versions 1.2.1 dated 2022-08-14 and 1.2.2 dated 2022-10-19

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Package ads updated to version 1.5-7 with previous version 1.5-6 dated 2022-06-13

Title: Spatial Point Patterns Analysis
Description: Perform first- and second-order multi-scale analyses derived from Ripley K-function (Ripley B. D. (1977) <doi:10.1111/j.2517-6161.1977.tb01615.x>), for univariate, multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of statistical significance based on Monte Carlo simulations.
Author: Raphael Pelissier [aut], Francois Goreaud [aut], Philippe Verley [ctb, cre]
Maintainer: Raphael Pelissier <raphael.pelissier@ird.fr>

Diff between ads versions 1.5-6 dated 2022-06-13 and 1.5-7 dated 2022-10-19

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Package delaunay updated to version 1.1.1 with previous version 1.1.0 dated 2022-07-19

Title: 2d, 2.5d, and 3d Delaunay Tessellations
Description: Construction and visualization of 2d Delaunay triangulations, possibly constrained, 2.5d (i.e. elevated) Delaunay triangulations, and 3d Delaunay triangulations.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package EpiNow2 (with last version 1.3.2) was removed from CRAN

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

2020-12-14 1.3.2
2020-11-22 1.3.1
2020-10-20 1.2.1
2020-09-01 1.1.0

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Package CBDA (with last version 1.0.0) was removed from CRAN

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2018-04-16 1.0.0

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Package PMwR updated to version 0.18-0 with previous version 0.17-0 dated 2021-10-19

Title: Portfolio Management with R
Description: Functions and examples for 'Portfolio Management with R': backtesting investment and trading strategies, computing profit/loss and returns, analysing trades, handling lists of transactions, reporting, and more.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package minqa updated to version 1.2.5 with previous version 1.2.4 dated 2014-10-09

Title: Derivative-Free Optimization Algorithms by Quadratic Approximation
Description: Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.
Author: Douglas Bates, Katharine M. Mullen, John C. Nash, Ravi Varadhan
Maintainer: Katharine M. Mullen <katharine.mullen@stat.ucla.edu>

Diff between minqa versions 1.2.4 dated 2014-10-09 and 1.2.5 dated 2022-10-19

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Package L1pack updated to version 0.41-2 with previous version 0.41 dated 2022-08-15

Title: Routines for L1 Estimation
Description: L1 estimation for linear regression using Barrodale and Roberts' method <doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution.
Author: Felipe Osorio [aut, cre] , Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

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Package highOrderPortfolios updated to version 0.1.0 with previous version 0.0.2 dated 2022-10-11

Title: Design of High-Order Portfolios Including Skewness and Kurtosis
Description: The classical Markowitz's mean-variance portfolio formulation ignores heavy tails and skewness. High-order portfolios use higher order moments to better characterize the return distribution. Different formulations and fast algorithms are proposed for high-order portfolios based on the mean, variance, skewness, and kurtosis. The package is based on the papers: R. Zhou and D. P. Palomar (2021). "Solving High-Order Portfolios via Successive Convex Approximation Algorithms." <arXiv:2008.00863>. X. Wang, R. Zhou, J. Ying, and D. P. Palomar (2022). "Efficient and Scalable High-Order Portfolios Design via Parametric Skew-t Distribution." <arXiv:2206.02412>.
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut], Xiwen Wang [aut]
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>

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Package ASV updated to version 1.1.1 with previous version 1.1.0 dated 2022-09-02

Title: Stochastic Volatility Models with or without Leverage
Description: The efficient Markov chain Monte Carlo estimation of stochastic volatility models with and without leverage (asymmetric and symmetric stochastic volatility models). Further, it computes the logarithm of the likelihood given parameters using particle filters.
Author: Yasuhiro Omori [aut, cre], Ryuji Hashimoto [ctr]
Maintainer: Yasuhiro Omori <omori.yasuhiro@gmail.com>

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Package asteRisk updated to version 1.4.2 with previous version 1.4.1 dated 2022-06-30

Title: Computation of Satellite Position
Description: Provides basic functionalities to calculate the position of satellites given a known state vector. The package includes implementations of the SGP4 and SDP4 simplified perturbation models to propagate orbital state vectors, as well as utilities to read TLE files and convert coordinates between different frames of reference. Several of the functionalities of the package (including the high-precision numerical orbit propagator) require the coefficients and data included in the 'asteRiskData' package, available in a 'drat' repository. To install this data package, run 'install.packages("asteRiskData", repos="https://rafael-ayala.github.io/drat/")'. Felix R. Hoots, Ronald L. Roehrich and T.S. Kelso (1988) <https://celestrak.org/NORAD/documentation/spacetrk.pdf>. David Vallado, Paul Crawford, Richard Hujsak and T.S. Kelso (2012) <doi:10.2514/6.2006-6753>. Felix R. Hoots, Paul W. Schumacher Jr. and Robert A. Glover (2014) <doi:10.2514/1.9161>.
Author: Rafael Ayala [aut, cre] , Daniel Ayala [aut] , David Ruiz [aut] , Lara Selles Vidal [aut]
Maintainer: Rafael Ayala <rafael.ayala@oist.jp>

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Package ast2ast updated to version 0.2.1 with previous version 0.2 dated 2022-09-15

Title: Translates an R Function to a C++ Function
Description: Enable translation of a tiny subset of R to C++. The user has to define a R function which gets translated. For a full list of possible functions check the documentation. After translation an R function is returned which is a shallow wrapper around the C++ code. Alternatively an external pointer to the C++ function is returned to the user. The intention of the package is to generate fast functions which can be used as ode-system or during optimization.
Author: Kraemer Konrad [aut, cre]
Maintainer: Kraemer Konrad <konrad_kraemer@yahoo.de>

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Package LSX updated to version 1.1.3 with previous version 1.1.2 dated 2022-10-02

Title: Semisupervised Document Scaling with Word-Embedding Models
Description: A word embeddings-based semisupervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between LSX versions 1.1.2 dated 2022-10-02 and 1.1.3 dated 2022-10-19

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Package BAS updated to version 1.6.3 with previous version 1.6.2 dated 2022-04-26

Title: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors from Li and Clyde (2019) <DOI:10.1080/01621459.2018.1469992> in generalized linear models. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using sampling w/out replacement or an efficient MCMC algorithm which samples models using a tree structure of the model space as an efficient hash table. See Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049> for details on the sampling algorithms. Uniform prior [...truncated...]
Author: Merlise Clyde [aut, cre, cph] , Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb], Don van de Bergh [ctb]
Maintainer: Merlise Clyde <clyde@duke.edu>

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Package SourceSet (with last version 0.1.3) was removed from CRAN

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

2019-10-18 0.1.3

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Package nser (with last version 1.4.3) was removed from CRAN

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

2022-08-10 1.4.3

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