Mon, 04 Dec 2023

Package quest updated to version 0.2.0 with previous version 0.1.0 dated 2021-09-10

Title: Prepare Questionnaire Data for Analysis
Description: Offers a suite of functions to prepare questionnaire data for analysis (perhaps other types of data as well). By data preparation, I mean data analytic tasks to get your raw data ready for statistical modeling (e.g., regression). There are functions to investigate missing data, reshape data, validate responses, recode variables, score questionnaires, center variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It provides functions for both single level and multilevel (i.e., grouped) data. With a few exceptions (e.g., ncases()), functions without an "s" at the end of their primary word (e.g., center_by()) act on atomic vectors, while functions with an "s" at the end of their primary word (e.g., centers_by()) act on multiple columns of a data.frame.
Author: David Disabato [aut, cre]
Maintainer: David Disabato <ddisab01@gmail.com>

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Package pinfsc50 updated to version 1.3.0 with previous version 1.2.0 dated 2020-06-03

Title: Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for 17 Samples of 'P. Infestans" and 1 'P. Mirabilis'
Description: Genomic data for the plant pathogen "Phytophthora infestans." It includes a variant file ('VCF'), a sequence file ('FASTA') and an annotation file ('GFF'). This package is intended to be used as example data for packages that work with genomic data.
Author: Brian J. Knaus [cre, aut], Niklaus J. Grunwald [aut]
Maintainer: Brian J. Knaus <briank.lists@gmail.com>

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Package ore updated to version 1.7.4.1 with previous version 1.7.3.1 dated 2023-01-16

Title: An R Interface to the Onigmo Regular Expression Library
Description: Provides an alternative to R's built-in functionality for handling regular expressions, based on the Onigmo library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features.
Author: Jon Clayden, based on Onigmo by K. Kosako and K. Takata
Maintainer: Jon Clayden <code@clayden.org>

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Package mets updated to version 1.3.3 with previous version 1.3.2 dated 2023-01-17

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.
Author: Klaus K. Holst [aut, cre], Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package eventPred updated to version 0.2.2 with previous version 0.2.1 dated 2023-10-19

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

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Package av updated to version 0.9.0 with previous version 0.8.6 dated 2023-10-16

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package unix updated to version 1.5.6 with previous version 1.5.5 dated 2022-10-18

Title: POSIX System Utilities
Description: Bindings to system utilities found in most Unix systems such as POSIX functions which are not part of the Standard C Library.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between unix versions 1.5.5 dated 2022-10-18 and 1.5.6 dated 2023-12-04

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Package smallsets updated to version 2.0.0 with previous version 1.0.0 dated 2023-02-03

Title: Visual Documentation for Data Preprocessing
Description: Data practitioners regularly use the 'R' and 'Python' programming languages to prepare data for analyses. Thus, they encode important data preprocessing decisions in 'R' and 'Python' code. The 'smallsets' package subsequently decodes these decisions into a Smallset Timeline, a static, compact visualisation of data preprocessing decisions (Lucchesi et al. (2022) <doi:10.1145/3531146.3533175>). The visualisation consists of small data snapshots of different preprocessing steps. The 'smallsets' package builds this visualisation from a user's dataset and preprocessing code located in an 'R', 'R Markdown', 'Python', or 'Jupyter Notebook' file. Users simply add structured comments with snapshot instructions to the preprocessing code. One optional feature in 'smallsets' requires installation of the 'Gurobi' optimisation software and 'gurobi' 'R' package, available from <https://www.gurobi.com>. More information regarding the optional feature and 'gurobi' installation can be found [...truncated...]
Author: Lydia R. Lucchesi [aut, cre] , Petra M. Kuhnert [ths], Jenny L. Davis [ths], Lexing Xie [ths]
Maintainer: Lydia R. Lucchesi <Lydia.Lucchesi@anu.edu.au>

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Package PDE updated to version 1.4.6 with previous version 1.4.3 dated 2023-02-06

Title: Extract Tables and Sentences from PDFs with User Interface
Description: The PDE (Pdf Data Extractor) allows the extraction of information and tables optionally based on search words from PDF (Portable Document Format) files and enables the visualization of the results, both by providing a convenient user-interface.
Author: Erik Stricker [aut, cre]
Maintainer: Erik Stricker <erik.stricker@gmx.com>

Diff between PDE versions 1.4.3 dated 2023-02-06 and 1.4.6 dated 2023-12-04

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Package clintools updated to version 0.9.10 with previous version 0.9.9 dated 2023-08-21

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

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Package hemispheR updated to version 1.1.2 with previous version 1.1.1 dated 2023-12-02

Title: Processing Hemispherical Canopy Images
Description: Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness. Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.
Author: Francesco Chianucci [aut, cre] , Martin Macek [aut]
Maintainer: Francesco Chianucci <fchianucci@gmail.com>

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Package traj updated to version 2.0.0 with previous version 1.3.1 dated 2023-04-12

Title: Clustering of Functional Data Based on Measures of Change
Description: Implements the three-step procedure proposed by Leffondree et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) calculating a number of measures of change capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the K-means clustering algorithm to identify clusters of trajectories.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package TaylorRussell updated to version 1.2.1 with previous version 1.2 dated 2023-11-30

Title: A Taylor-Russell Function for Multiple Predictors
Description: The Taylor Russell model is a widely used method for assessing test validity in personnel selection tasks. The three functions in this package extend this model in a number of notable ways. TR() estimates test validity for a single selection test via the original Taylor Russell model. It extends this model by allowing users greater flexibility in argument choice. For example, users can specify any three of the four parameters (base rate, selection ratio, criterion validity, and positive predictive value) of the Taylor Russell model and estimate the remaining parameter (see the help file for examples). The TaylorRussell() function generalizes the original Taylor Russell model to allow for multiple selection tests (predictors). To our knowledge, this is the first generalization of the Taylor Russell model to allow for three or more selection tests (it is also the first to correctly handle models with two selection tests). TRDemo() is a 'shiny' program for illustrating the underlying lo [...truncated...]
Author: Niels Waller [aut, cre], Ziyu Ren [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package RAppArmor updated to version 3.2.4 with previous version 3.2.3 dated 2022-10-18

Title: Bindings to AppArmor and Security Related Linux Tools
Description: Bindings to kernel methods for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition this package implements bindings for setting process resource limits (rlimit), uid, gid, affinity and priority. The high level R function 'eval.secure' builds on these methods to perform dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process. A portable version of this function is now available in the 'unix' package.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package gittargets updated to version 0.0.7 with previous version 0.0.6 dated 2023-02-09

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

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Package shinylive updated to version 0.1.1 with previous version 0.1.0 dated 2023-10-11

Title: Run 'shiny' Applications in the Browser
Description: Exporting 'shiny' applications with 'shinylive' allows you to run them entirely in a web browser, without the need for a separate R server. The traditional way of deploying 'shiny' applications involves in a separate server and client: the server runs R and 'shiny', and clients connect via the web browser. When an application is deployed with 'shinylive', R and 'shiny' run in the web browser (via 'webR'): the browser is effectively both the client and server for the application. This allows for your 'shiny' application exported by 'shinylive' to be hosted by a static web server.
Author: Barret Schloerke [aut, cre] , Winston Chang [aut] , George Stagg [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

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Package ravetools updated to version 0.1.3 with previous version 0.1.2 dated 2023-07-16

Title: Signal and Image Processing Toolbox for Analyzing Intracranial 'Electroencephalography' Data
Description: Implemented fast and memory-efficient 'Notch'-filter, 'Welch-periodogram', discrete wavelet transform algorithm for hours of high-resolution signals, fast 3D convolution, and image alignment; providing fundamental toolbox for 'iEEG' pipelines. Documentation and examples about 'RAVE' project are provided at <https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre, cph], Beauchamp lab [cph], Karim Rahim [cph] , Prerau Lab [cph] , RcppParallel Authors [cph] , Marcus Geelnard [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package tarchetypes updated to version 0.7.10 with previous version 0.7.9 dated 2023-10-04

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package Statamarkdown updated to version 0.9.2 with previous version 0.8.0 dated 2023-06-01

Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Author: Doug Hemken [aut, cre] , Tom Palmer [ctb] , Philipp Lepert [ctb]
Maintainer: Doug Hemken <dehemken@wisc.edu>

Diff between Statamarkdown versions 0.8.0 dated 2023-06-01 and 0.9.2 dated 2023-12-04

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Package sphunif updated to version 1.3.0 with previous version 1.1.0 dated 2023-08-21

Title: Uniformity Tests on the Circle, Sphere, and Hypersphere
Description: Implementation of uniformity tests on the circle and (hyper)sphere. The main function of the package is unif_test(), which conveniently collects more than 30 tests for assessing uniformity on S^{p-1}={x in R^p : ||x||=1}, p >= 2. The test statistics are implemented in the unif_stat() function, which allows computing several statistics to several samples within a single call, thus facilitating Monte Carlo experiments. Furthermore, the unif_stat_MC() function allows parallelizing them in a simple way. The asymptotic null distributions of the statistics are available through the function unif_stat_distr(). The core of 'sphunif' is coded in C++ by relying on the 'Rcpp' package. The package also provides several novel datasets and gives the replicability for the data application in García-Portugués, Navarro-Esteban and Cuesta-Albertos (2023) <arXiv:2008.09897>.
Author: Eduardo Garcia-Portugues [aut, cre] , Thomas Verdebout [aut] , Paula Navarro [ctb]
Maintainer: Eduardo Garcia-Portugues <edgarcia@est-econ.uc3m.es>

Diff between sphunif versions 1.1.0 dated 2023-08-21 and 1.3.0 dated 2023-12-04

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Package optbin updated to version 1.3 with previous version 1.2 dated 2022-09-19

Title: Optimal Binning of Data
Description: Defines thresholds for breaking data into a number of discrete levels, minimizing the (mean) squared error within all bins.
Author: Greg Kreider
Maintainer: Greg Kreider <support@primachvis.com>

Diff between optbin versions 1.2 dated 2022-09-19 and 1.3 dated 2023-12-04

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Package mongolite updated to version 2.7.3 with previous version 2.7.2 dated 2023-03-31

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] , MongoDB, Inc [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between mongolite versions 2.7.2 dated 2023-03-31 and 2.7.3 dated 2023-12-04

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New package MarZIC with initial version 1.0.0
Package: MarZIC
Title: Marginal Mediation Effects with Zero-Inflated Compositional Mediator
Version: 1.0.0
Description: A way to estimate and test marginal mediation effects for zero-inflated compositional mediators. Estimates of Natural Indirect Effect (NIE), Natural Direct Effect (NDE) of each taxon, as well as their standard errors and confident intervals, were provided as outputs. Zeros will not be imputed during analysis. See Wu et al. (2022) <doi:10.3390/genes13061049>.
URL: https://www.mdpi.com/2073-4425/13/6/1049
License: GPL-2
Imports: Rcpp (>= 1.0.9), NlcOptim, betareg, doParallel, foreach, pracma, mathjaxr, dirmult, stats, parallel
Suggests: knitr, rmarkdown, RUnit, BiocGenerics, BiocStyle
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-12-03 10:10:05 UTC; quranwu
Author: Quran Wu [aut], Zhigang Li [aut, cre]
Maintainer: Zhigang Li <lzg2151@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-04 20:00:02 UTC

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Package rzmq updated to version 0.9.12 with previous version 0.9.11 dated 2023-10-16

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <https://zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between rzmq versions 0.9.11 dated 2023-10-16 and 0.9.12 dated 2023-12-04

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Package mrgsolve updated to version 1.3.0 with previous version 1.1.1 dated 2023-08-16

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] , Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] , Dilawar Singh [ctb], Felicien Le Louedec [ctb] , Timothy Waterhouse [ctb] , Kyle Meyer [ctb], Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

Diff between mrgsolve versions 1.1.1 dated 2023-08-16 and 1.3.0 dated 2023-12-04

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Package textTinyR updated to version 1.1.8 with previous version 1.1.7 dated 2021-10-26

Title: Text Processing for Small or Big Data Files
Description: It offers functions for splitting, parsing, tokenizing and creating a vocabulary for big text data files. Moreover, it includes functions for building a document-term matrix and extracting information from those (term-associations, most frequent terms). It also embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. Lastly, it includes functions for Word Vector Representations (i.e. 'GloVe', 'fasttext') and incorporates functions for the calculation of (pairwise) text document dissimilarities. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.
Author: Lampros Mouselimis [aut, cre]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between textTinyR versions 1.1.7 dated 2021-10-26 and 1.1.8 dated 2023-12-04

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Package rosv updated to version 0.5.1 with previous version 0.5.0 dated 2023-11-23

Title: Client to Access and Operate on the 'Open Source Vulnerability' API
Description: Connect, query, and operate on information available from the 'Open Source Vulnerability' database <https://osv.dev/>. Although 'CRAN' has vulnerabilities listed, these are few compared to projects such as 'PyPI'. With tighter integration between 'R' and 'Python', having an 'R' specific package to access details about vulnerabilities from various sources is a worthwhile enterprise.
Author: Allen OBrien [aut, cre, cph]
Maintainer: Allen OBrien <allen.g.obrien@gmail.com>

Diff between rosv versions 0.5.0 dated 2023-11-23 and 0.5.1 dated 2023-12-04

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New package ebmstate with initial version 0.1.4
Package: ebmstate
Title: Empirical Bayes Multi-State Cox Model
Version: 0.1.4
Description: Implements an empirical Bayes, multi-state Cox model for survival analysis. Run "?'ebmstate-package'" for details. See also Schall (1991) <doi:10.1093/biomet/78.4.719>.
Depends: R (>= 3.6.0), survival (>= 2.44-1.1), mstate (>= 0.2.11)
Imports: Rcpp, HDInterval, stats, utils, methods
License: GPL (>= 3)
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-12-02 16:42:33 UTC; RuiCosta
Author: Rui Costa [aut, cre], Moritz Gerstung [aut], Terry M Therneau [ctb] , Thomas Lumley [ctb] , Hein Putter [ctb] , Liesbeth de Wreede [ctb] , Marta Fiocco [ctb] , Ronald Geskus [ctb]
Maintainer: Rui Costa <ruibarrigana@hotmail.com>
Repository: CRAN
Date/Publication: 2023-12-04 17:10:02 UTC

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New package discFA with initial version 1.0.0
Package: discFA
Title: Discrete Factor Analysis
Version: 1.0.0
Description: Discrete factor analysis for dependent Poisson and negative binomial models with truncation, zero inflation, and zero inflated truncation.
License: GPL-3
Maintainer: Reza A. Belaghi <rezaarabi11@gmail.com>
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: VGAM, methods
NeedsCompilation: no
Packaged: 2023-12-02 13:18:40 UTC; yasinasar
Author: Yasin Asar [aut] , Reza A. Belaghi [aut, cre] , Rolf Larsson [aut]
Repository: CRAN
Date/Publication: 2023-12-04 17:10:06 UTC

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Package deBif updated to version 0.1.8 with previous version 0.1.7 dated 2023-01-18

Title: Bifurcation Analysis of Ordinary Differential Equation Systems
Description: Shiny application that performs bifurcation and phaseplane analysis of systems of ordinary differential equations. The package allows for computation of equilibrium curves as a function of a single free parameter, detection of transcritical, saddle-node and hopf bifurcation points along these curves, and computation of curves representing these transcritical, saddle-node and hopf bifurcation points as a function of two free parameters. The shiny-based GUI allows visualization of the results in both 2D- and 3D-plots. The implemented methods for solution localisation and curve continuation are based on the book "Elements of applied bifurcation theory" (Kuznetsov, Y. A., 1995; ISBN: 0-387-94418-4).
Author: Andre M. de Roos [aut, cre]
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>

Diff between deBif versions 0.1.7 dated 2023-01-18 and 0.1.8 dated 2023-12-04

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Package ClusterR updated to version 1.3.2 with previous version 1.3.1 dated 2023-04-29

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package xml2 updated to version 1.3.6 with previous version 1.3.5 dated 2023-07-06

Title: Parse XML
Description: Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut, cre], Jim Hester [aut], Jeroen Ooms [aut], Posit Software, PBC [cph, fnd], R Foundation [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

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New package samplingin with initial version 1.0.1
Package: samplingin
Title: Dynamic Survey Sampling Solutions
Version: 1.0.1
Description: A robust solution employing both systematic and PPS (Probability Proportional to Size) sampling methods, ensuring a methodical and representative selection of data. Seamlessly allocate predetermined allocations to smaller levels. Kish, L. (1965) <https://books.google.co.id/books?id=xiZmAAAAIAAJ>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: data.table, dplyr, DT, magrittr, rio, rlang, stats, stringr, tidyr, utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-12-01 23:10:06 UTC; User
Author: Choerul Afifanto [aut, cre, cph]
Maintainer: Choerul Afifanto <choerulafifanto@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-04 16:40:02 UTC

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Package RMVL updated to version 1.0.0.1 with previous version 0.0.4.9 dated 2023-10-30

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

Diff between RMVL versions 0.0.4.9 dated 2023-10-30 and 1.0.0.1 dated 2023-12-04

 DESCRIPTION   |   11 +++++++----
 MD5           |    4 ++--
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New package regmhmm with initial version 1.0.0
Package: regmhmm
Title: 'regmhmm' Fits Hidden Markov Models with Regularization
Version: 1.0.0
Date: 2023-11-29
Maintainer: Man Chong Leong <mc.leong26@gmail.com>
Description: Designed for longitudinal data analysis using Hidden Markov Models (HMMs). Tailored for applications in healthcare, social sciences, and economics, the main emphasis of this package is on regularization techniques for fitting HMMs. Additionally, it provides an implementation for fitting HMMs without regularization, referencing Zucchini et al. (2017, ISBN:9781315372488).
License: GPL (>= 3)
Encoding: UTF-8
Imports: glmnet, glmnetUtils, MASS, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/HenryLeongStat/regmhmm
BugReports: https://github.com/HenryLeongStat/regmhmm/issues
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2023-12-01 18:08:55 UTC; mleong1
Author: Man Chong Leong [cre, aut]
Repository: CRAN
Date/Publication: 2023-12-04 16:40:05 UTC

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New package profrep with initial version 1.0.0
Package: profrep
Title: Profile Repeatability
Version: 1.0.0
Description: Calculates profile repeatability for replicate stress response curves, or similar time-series data. Profile repeatability is an individual repeatability metric that uses the variances at each timepoint, the maximum variance, the number of crossings (lines that cross over each other), and the number of replicates to compute the repeatability score. For more information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.
Depends: R (>= 2.10)
License: MIT + file LICENSE
URL: https://ubeattie.github.io/profrep/
BugReports: https://github.com/ubeattie/profrep/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-12-01 20:50:46 UTC; cleanaccount
Author: Ursula K. Beattie [cre, aut, cph] , David Harris [aut, cph], L. Michael Romero [aut, cph] , J. Michael Reed [aut, cph] , Zachary R. Weaver [aut, cph]
Maintainer: Ursula K. Beattie <ursula.beattie@tufts.edu>
Repository: CRAN
Date/Publication: 2023-12-04 16:40:08 UTC

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New package phdcocktail with initial version 0.1.0
Package: phdcocktail
Title: Enhance the Ease of R Experience as an Emerging Researcher
Version: 0.1.0
Description: A toolkit of functions to help: i) effortlessly transform collected data into a publication ready format, ii) generate insightful visualizations from clinical data, iii) report summary statistics in a publication-ready format, iv) efficiently export, save and reload R objects within the framework of R projects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, here, RColorBrewer, rstudioapi, scales, stats
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
URL: https://dahhamalsoud.github.io/phdcocktail/, https://github.com/DahhamAlsoud/phdcocktail
BugReports: https://github.com/DahhamAlsoud/phdcocktail/issues
NeedsCompilation: no
Packaged: 2023-12-02 11:43:00 UTC; Dahham
Author: Dahham Alsoud [cre, aut, cph]
Maintainer: Dahham Alsoud <dahhamalsoud@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-04 17:00:03 UTC

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New package NAC with initial version 0.1.0
Package: NAC
Title: Network-Adjusted Covariates for Community Detection
Version: 0.1.0
Author: Yaofang Hu [aut, cre], Wanjie Wang [aut]
Maintainer: Yaofang Hu <yaofangh@smu.edu>
Description: Incorporating node-level covariates for community detection has gained increasing attention these years. This package provides the function for implementing the novel community detection algorithm known as Network-Adjusted Covariates for Community Detection (NAC), which is designed to detect latent community structure in graphs with node-level information, i.e., covariates. This algorithm can handle models such as the degree-corrected stochastic block model (DCSBM) with covariates. NAC specifically addresses the discrepancy between the community structure inferred from the adjacency information and the community structure inferred from the covariates information. For more detailed information, please refer to the reference paper: Yaofang Hu and Wanjie Wang (2023) <arXiv:2306.15616>. In addition to NAC, this package includes several other existing community detection algorithms that are compared to NAC in the reference paper. These algorithms are Spectral Clustering On Ratios-of E [...truncated...]
Imports: stats, pracma
License: GPL-2
Encoding: UTF-8
URL: https://arxiv.org/abs/2306.15616
Suggests: testthat, igraph
Depends: R (>= 4.2.2.0)
NeedsCompilation: no
Packaged: 2023-12-02 00:59:40 UTC; lu936
Repository: CRAN
Date/Publication: 2023-12-04 16:40:15 UTC

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New package ImVol with initial version 0.1.0
Package: ImVol
Title: Volume Prediction of Trees Using Linear and Nonlinear Allometric Equations
Version: 0.1.0
Author: M. Iqbal Jeelani [aut, cre], Fehim Jeelani [aut], Syed Naseem Geelani [aut], Md Yeasin [aut]
Maintainer: M. Iqbal Jeelani <jeelani.miqbal@gmail.com>
Description: Volume prediction is one of challenging task in forestry research. This package is a comprehensive toolset designed for the fitting and validation of various linear and nonlinear allometric equations (Linear, Log-Linear, Inverse, Quadratic, Cubic, Compound, Power and Exponential) used in the prediction of conifer tree volume. This package is particularly useful for forestry professionals, researchers, and resource managers engaged in assessing and estimating the volume of coniferous trees. This package has been developed using the algorithm of Sharma et al. (2017) <doi:10.13140/RG.2.2.33786.62407>.
License: GPL-3
Encoding: UTF-8
Imports: stats, tidyverse, nls2, caret, ggplot2, dplyr, tidyr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-12-02 07:26:08 UTC; YEASIN
Repository: CRAN
Date/Publication: 2023-12-04 16:50:05 UTC

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Package hutilscpp updated to version 0.10.4 with previous version 0.10.2 dated 2023-10-11

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre], Simon Urbanek [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between hutilscpp versions 0.10.2 dated 2023-10-11 and 0.10.4 dated 2023-12-04

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New package decompDL with initial version 0.1.0
Package: decompDL
Title: Decomposition Based Deep Learning Models for Time Series Forecasting
Version: 0.1.0
Maintainer: Kapil Choudhary <kapiliasri@gmail.com>
Description: Hybrid model is the most promising forecasting method by combining decomposition and deep learning techniques to improve the accuracy of time series forecasting. Each decomposition technique decomposes a time series into a set of intrinsic mode functions (IMFs), and the obtained IMFs are modelled and forecasted separately using the deep learning models. Finally, the forecasts of all IMFs are combined to provide an ensemble output for the time series. The prediction ability of the developed models are calculated using international monthly price series of maize in terms of evaluation criteria like root mean squared error, mean absolute percentage error and, mean absolute error. For method details see Choudhary, K. et al. (2023). <https://ssca.org.in/media/14_SA44052022_R3_SA_21032023_Girish_Jha_FINAL_Finally.pdf>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: keras, tensorflow, reticulate, tsutils, stats, BiocGenerics, utils, graphics, magrittr,Rlibeemd, TSdeeplearning, VMDecomp
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-12-02 01:12:13 UTC; kapil
Author: Kapil Choudhary [aut, cre], Girish Kumar Jha [aut, ths, ctb], Ronit Jaiswal [ctb], Rajeev Ranjan Kumar [ctb]
Repository: CRAN
Date/Publication: 2023-12-04 16:50:02 UTC

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Package RMySQL updated to version 0.10.27 with previous version 0.10.26 dated 2023-09-26

Title: Database Interface and 'MySQL' Driver for R
Description: Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client written in 'C++' is available from the 'RMariaDB' package.
Author: Jeroen Ooms [aut, cre] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between RMySQL versions 0.10.26 dated 2023-09-26 and 0.10.27 dated 2023-12-04

 DESCRIPTION    |    8 ++++----
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Package Rmpfr updated to version 0.9-4 with previous version 0.9-3 dated 2023-08-08

Title: R MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] , Richard M. Heiberger [ctb] , *Bin, *Dec), John C. Nash [ctb] , origin of unirootR), Hans W. Borchers [ctb] ; origin of hjkMpfr)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between Rmpfr versions 0.9-3 dated 2023-08-08 and 0.9-4 dated 2023-12-04

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Package POSetR updated to version 1.1.4 with previous version 1.1.1 dated 2023-01-17

Title: Partially Ordered Sets in R
Description: Provides a set of basic tools for generating, analyzing, summarizing and visualizing finite partially ordered sets. In particular, it implements flexible and very efficient algorithms for the extraction of linear extensions and for the computation of mutual ranking probabilities and other user-defined functionals, over them. The package is meant as a computationally efficient "engine", for the implementation of data analysis procedures, on systems of multidimensional ordinal indicators and partially ordered data, in the spirit of Fattore, M. (2016) "Partially ordered sets and the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-015-1059-6>, and Fattore M. and Arcagni, A. (2018) "A reduced posetic approach to the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-016-1501-4>.
Author: Alberto Arcagni [aut, cre], Alessandro Avellone [aut], Marco Fattore [aut]
Maintainer: Alberto Arcagni <alberto.arcagni@uniroma1.it>

Diff between POSetR versions 1.1.1 dated 2023-01-17 and 1.1.4 dated 2023-12-04

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Package jsonlite updated to version 1.8.8 with previous version 1.8.7 dated 2023-06-29

Title: A Simple and Robust JSON Parser and Generator for R
Description: A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
Author: Jeroen Ooms [aut, cre] , Duncan Temple Lang [ctb], Lloyd Hilaiel [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between jsonlite versions 1.8.7 dated 2023-06-29 and 1.8.8 dated 2023-12-04

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 tests/testthat/test-fromJSON-dataframe.R      |   24 +++----
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 tests/testthat/test-fromJSON-date.R           |   20 +++---
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 tests/testthat/test-libjson-escaping.R        |    8 +-
 tests/testthat/test-libjson-large.R           |   10 +--
 tests/testthat/test-libjson-utf8.R            |   16 ++---
 tests/testthat/test-libjson-validator.R       |    2 
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 tests/testthat/test-toJSON-numeric.R          |   42 ++++++-------
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Package flightsbr updated to version 0.4.0 with previous version 0.3.0 dated 2023-06-29

Title: Download Flight and Airport Data from Brazil
Description: Download flight and airport data from Brazil’s Civil Aviation Agency (ANAC) <https://www.gov.br/anac>. The data includes detailed information on all aircrafts, aerodromes, airports, and airport movements registered in ANAC, on airfares and on every international flight to and from Brazil, as well as domestic flights within the country.
Author: Rafael H. M. Pereira [aut, cre] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between flightsbr versions 0.3.0 dated 2023-06-29 and 0.4.0 dated 2023-12-04

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Package chisquare updated to version 0.8 with previous version 0.7 dated 2023-11-03

Title: Chi-Square and G-Square Test of Independence, Residual Analysis, and Measures of Categorical Association
Description: Provides the facility to perform the chi-square and G-square test of independence, calculates permutation-based p value, and provides measures of association such as Phi, odds ratio with 95 percent CI and p value, adjusted contingency coefficient, Cramer's V and 95 percent CI, bias-corrected Cramer's V, Cohen's w, Goodman-Kruskal's lambda, gamma and its p value, and tau, Cohen's k and its 95 percent CI. It also calculates standardized, moment-corrected standardized, and adjusted standardized residuals, and their significance. Different outputs are returned in nicely formatted tables.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between chisquare versions 0.7 dated 2023-11-03 and 0.8 dated 2023-12-04

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Package BayesLN updated to version 0.2.10 with previous version 0.2.8 dated 2022-10-26

Title: Bayesian Inference for Log-Normal Data
Description: Bayesian inference under log-normality assumption must be performed very carefully. In fact, under the common priors for the variance, useful quantities in the original data scale (like mean and quantiles) do not have posterior moments that are finite (Fabrizi et al. 2012 <doi:10.1214/12-BA733>). This package allows to easily carry out a proper Bayesian inferential procedure by fixing a suitable distribution (the generalized inverse Gaussian) as prior for the variance. Functions to estimate several kind of means (unconditional, conditional and conditional under a mixed model) and quantiles (unconditional and conditional) are provided.
Author: Aldo Gardini [aut, cre] , Enrico Fabrizi [aut] , Carlo Trivisano [aut]
Maintainer: Aldo Gardini <aldo.gardini2@unibo.it>

Diff between BayesLN versions 0.2.8 dated 2022-10-26 and 0.2.10 dated 2023-12-04

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New package IOHanalyzer with initial version 0.1.8.6
Package: IOHanalyzer
Title: Data Analysis Part of 'IOHprofiler'
Version: 0.1.8.6
Maintainer: Diederick Vermetten <d.l.vermetten@liacs.leidenuniv.nl>
Description: The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://iohanalyzer.liacs.nl, https://github.com/IOHprofiler/IOHAnalyzer
BugReports: https://github.com/IOHprofiler/IOHAnalyzer/issues
Imports: magrittr, dplyr, data.table, ggplot2, plotly, colorspace, colorRamps, RColorBrewer, shiny, reshape2, stringi, httr, knitr, methods, rjson, eaf, viridis
LinkingTo: Rcpp
SystemRequirements: C++
Suggests: Rcpp, testthat, withr, ComplexHeatmap, grid, keyring, PlayerRatings, xtable, shinyjs, colourpicker, bsplus, DT, kableExtra, markdown, igraph, shinydashboard, RVCompare, reticulate
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2023-12-04 10:18:31 UTC; diedi
Author: Hao Wang [aut] , Diederick Vermetten [cre, aut] , Carola Doerr [aut] , Thomas Baeck [aut]
Repository: CRAN
Date/Publication: 2023-12-04 14:30:07 UTC

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New package diseasemapping with initial version 2.0.5
Package: diseasemapping
Title: Modelling Spatial Variation in Disease Risk for Areal Data
Version: 2.0.5
Date: 2023-12-01
Depends: R (>= 3.5.0)
Imports: stats, utils, terra, methods
Suggests: mgcv, mapmisc (>= 1.9.0), knitr
Enhances: INLA, XML
Additional_repositories: https://inla.r-inla-download.org/R/testing
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>.
License: GPL
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-12-01 20:35:37 UTC; patrick
Author: Patrick Brown [aut, cre, cph], Lutong Zhou [aut]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Repository: CRAN
Date/Publication: 2023-12-04 14:30:04 UTC

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Package DiceEval updated to version 1.6.1 with previous version 1.5.1 dated 2022-07-04

Title: Construction and Evaluation of Metamodels
Description: Estimation, validation and prediction of models of different types : linear models, additive models, MARS,PolyMARS and Kriging.
Author: D. Dupuy and C. Helbert
Maintainer: C. Helbert <Celine.Helbert@ec-lyon.fr>

Diff between DiceEval versions 1.5.1 dated 2022-07-04 and 1.6.1 dated 2023-12-04

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Package BiostatsUHNplus updated to version 0.0.9 with previous version 0.0.8 dated 2023-11-28

Title: Nested Data Summary and Adverse Events
Description: Miscellaneous code snippets and functions with pipes and multiple package dependencies used for summarizing nested data and adverse events.
Author: Lisa Avery [aut] , Zeynep Baskurt [aut], Osvaldo Espin-Garcia [aut], Katrina Hueniken [aut], Katherine Lajkosz [aut] , Xuan Li [aut], Tyler Pittman [cre, aut] , Anna Santiago [aut] , Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Tyler Pittman <tyler.pittman@uhn.ca>

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Package V8 updated to version 4.4.1 with previous version 4.4.0 dated 2023-10-09

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between V8 versions 4.4.0 dated 2023-10-09 and 4.4.1 dated 2023-12-04

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Package jqr updated to version 1.3.3 with previous version 1.3.2 dated 2023-11-20

Title: Client for 'jq', a 'JSON' Processor
Description: Client for 'jq', a 'JSON' processor (<https://jqlang.github.io/jq/>), written in C. 'jq' allows the following with 'JSON' data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Author: Rich FitzJohn [aut], Jeroen Ooms [aut, cre], Scott Chamberlain [aut], Stefan Milton Bache [aut]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between jqr versions 1.3.2 dated 2023-11-20 and 1.3.3 dated 2023-12-04

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Package gert updated to version 2.0.1 with previous version 2.0.0 dated 2023-09-26

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between gert versions 2.0.0 dated 2023-09-26 and 2.0.1 dated 2023-12-04

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Package WoodSimulatR updated to version 0.6.1 with previous version 0.6.0 dated 2022-06-20

Title: Generate Simulated Sawn Timber Strength Grading Data
Description: Tools for generating simulated sawn timber strength grading data with a main focus on statistical simulation based on covariance matrices. Simulation data for Norway spruce sawn timber from Austria and reference values of means and standard deviations of grade determining properties from literature for a number of European countries are provided, as well.
Author: Andreas Weidenhiller [cre, aut] , Anton Wegscheider [aut]
Maintainer: Andreas Weidenhiller <a.weidenhiller@holzforschung.at>

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Package BAT updated to version 2.9.5 with previous version 2.9.4 dated 2023-10-10

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxonomic, phylogenetic and functional). It allows performing a number of analyses based on species identities/abundances, phylogenetic/functional distances, trees, convex-hulls or kernel density n-dimensional hypervolumes depicting species relationships. Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.
Author: Pedro Cardoso [aut, cre], Stefano Mammola [aut], Francois Rigal [aut], Jose Carvalho [aut]
Maintainer: Pedro Cardoso <pmcardoso@fc.ul.pt>

Diff between BAT versions 2.9.4 dated 2023-10-10 and 2.9.5 dated 2023-12-04

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Package ordinal updated to version 2023.12-4 with previous version 2022.11-16 dated 2022-11-16

Title: Regression Models for Ordinal Data
Description: Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.
Author: Rune Haubo Bojesen Christensen [aut, cre]
Maintainer: Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>

Diff between ordinal versions 2022.11-16 dated 2022-11-16 and 2023.12-4 dated 2023-12-04

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Package nestedcv updated to version 0.7.3 with previous version 0.7.0 dated 2023-10-26

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Katriona Goldmann [aut]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between nestedcv versions 0.7.0 dated 2023-10-26 and 0.7.3 dated 2023-12-04

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Package RcppArmadillo updated to version 0.12.6.6.1 with previous version 0.12.6.6.0 dated 2023-10-31

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package nanonext updated to version 0.11.0 with previous version 0.10.4 dated 2023-11-03

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library implementing 'Scalability Protocols', a reliable, high-performance standard for common communications patterns including publish/subscribe, request/reply and service discovery, over in-process, IPC, TCP, WebSocket and secure TLS transports. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing, with intuitive 'aio' objects which resolve automatically upon completion of asynchronous operations, and synchronisation primitives allowing R to wait upon events signalled by concurrent threads.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package checkmate updated to version 2.3.1 with previous version 2.3.0 dated 2023-10-25

Title: Fast and Versatile Argument Checks
Description: Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Author: Michel Lang [cre, aut] , Bernd Bischl [ctb], Denes Toth [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package baseballDBR (with last version 0.1.2) was removed from CRAN

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

2017-06-15 0.1.2

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Package multilevLCA updated to version 1.4 with previous version 1.3 dated 2023-10-23

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al (2023) <arXiv:2305.07276>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

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Package GCPBayes updated to version 4.1.0 with previous version 4.0.0 dated 2022-11-02

Title: Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure
Description: Run a Gibbs sampler for a multivariate Bayesian sparse group selection model with Dirac, continuous and hierarchical spike prior for detecting pleiotropy on the traits. This package is designed for summary statistics containing estimated regression coefficients and its estimated covariance matrix. The methodology is available from: Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021) <doi:10.1002/sim.8855>.
Author: Taban Baghfalaki
Maintainer: Taban Baghfalaki <t.baghfalaki@gmail.com>

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Package vaccine updated to version 1.1.0 with previous version 1.0.0 dated 2023-10-20

Title: Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data
Description: Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) <doi:10.1093/biostatistics/kxac024> and Fay MP and Follmann DA (2023) <doi:10.48550/arXiv.2208.06465>.
Author: Avi Kenny [aut, cre, cph]
Maintainer: Avi Kenny <avi.kenny@gmail.com>

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Package seeker updated to version 1.1.4 with previous version 1.1.3 dated 2023-05-23

Title: Simplified Fetching and Processing of Microarray and RNA-Seq Data
Description: Wrapper around various existing tools and command-line interfaces, providing a standard interface, simple parallelization, and detailed logging. For microarray data, maps probe sets to standard gene IDs, building on 'GEOquery' Davis and Meltzer (2007) <doi:10.1093/bioinformatics/btm254>, 'ArrayExpress' Kauffmann et al. (2009) <doi:10.1093/bioinformatics/btp354>, Robust multi-array average 'RMA' Irizarry et al. (2003) <doi:10.1093/biostatistics/4.2.249>, and 'BrainArray' Dai et al. (2005) <doi:10.1093/nar/gni179>. For RNA-seq data, fetches metadata and raw reads from National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA), performs standard adapter and quality trimming using 'TrimGalore' Krueger <https://github.com/FelixKrueger/TrimGalore>, performs quality control checks using 'FastQC' Andrews <https://github.com/s-andrews/FastQC>, quantifies transcript abundances using 'salmon' Patro et al. (2017) <doi:10.1038/nmeth.4197& [...truncated...]
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

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Package RcmdrPlugin.BWS2 updated to version 0.2-0 with previous version 0.1-0 dated 2022-06-07

Title: R Commander Plug-in for Case 2 Best-Worst Scaling
Description: Adds menu items for Case 2 (profile case) best-worst scaling (BWS2) to the R Commander. BWS2 is a question-based survey method that constructs profiles (combinations of attribute levels) using an orthogonal array, asks respondents to select the best and worst levels in each profile, and measures preferences for attribute levels by analyzing the responses. For details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package mcradds updated to version 1.1.0 with previous version 1.0.1 dated 2023-10-11

Title: Processing and Analyzing of Diagnostics Trials
Description: Provides methods and functions to analyze the quantitative or qualitative performance for diagnostic assays, and outliers detection, reader precision and reference range are discussed. Most of the methods and algorithms refer to CLSI (Clinical & Laboratory Standards Institute) recommendations and NMPA (National Medical Products Administration) guidelines. In additional, relevant plots are constructed by 'ggplot2'.
Author: Kai Gu [aut, cre, cph]
Maintainer: Kai Gu <gukai1212@163.com>

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Package inferCSN updated to version 0.99.8 with previous version 0.99.7 dated 2023-10-30

Title: Inferring Cell-Specific Gene Regulatory Network
Description: A method for inferring cell-specific gene regulatory network from single-cell sequencing data.
Author: Meng Xu [aut, cre]
Maintainer: Meng Xu <mengxu98@qq.com>

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Package fetch updated to version 0.1.4 with previous version 0.1.3 dated 2023-09-09

Title: Fetch Data from Various Data Sources
Description: Contains functions to fetch data from various data sources. The user first creates a catalog of objects from a data source, then fetches data from the catalog. The package provides an easy way to access data from many different types of sources.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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