Tue, 28 May 2024

Package tntpr updated to version 1.0.3 with previous version 1.0.2 dated 2024-03-21

Title: Data Analysis Tools Customized for TNTP
Description: An assortment of functions and templates customized to meet the needs of data analysts at the non-profit organization TNTP. Includes functions for branded colors and plots, credentials management, repository set-up, and other common analytic tasks.
Author: Dustin Pashouwer [aut, cre], Sam Firke [aut], Shane Orr [aut], Sam Talcott [aut]
Maintainer: Dustin Pashouwer <dustin.pashouwer@tntp.org>

Diff between tntpr versions 1.0.2 dated 2024-03-21 and 1.0.3 dated 2024-05-28

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Package rscorecard updated to version 0.28.1 with previous version 0.26.0 dated 2023-04-28

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <bskinner@neh.gov>

Diff between rscorecard versions 0.26.0 dated 2023-04-28 and 0.28.1 dated 2024-05-28

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Package nhppp updated to version 0.1.4 with previous version 0.1.3 dated 2024-02-02

Title: Simulating Nonhomogeneous Poisson Point Processes
Description: Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).
Author: Thomas Trikalinos [aut, cre, cph] , Yuliia Sereda [aut]
Maintainer: Thomas Trikalinos <thomas_trikalinos@brown.edu>

Diff between nhppp versions 0.1.3 dated 2024-02-02 and 0.1.4 dated 2024-05-28

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Package MPCR updated to version 1.1.2 with previous version 1.1.1 dated 2024-05-21

Title: Multi- And Mixed-Precision Computations
Description: Designed for multi- and mixed-precision computations, accommodating 64-bit and 32-bit data structures. This flexibility enables fast execution across various applications. The package enhances performance by optimizing operations in both precision levels, which is achieved by integrating with high-speed 'BLAS' and 'LAPACK' libraries like 'MKL' and 'OpenBLAS'. Including a 32-bit option caters to applications where high precision is unnecessary, accelerating computational processes whenever feasible. The package also provides support for tile-based algorithms in three linear algebra operations: CHOL(), TRSM(), and GEMM(). The tile-based algorithm splits the matrix into smaller tiles, facilitating parallelization through a predefined Directed Acyclic Graph (DAG) for each operation. Enabling 'OpenMP' enhances the efficiency of these operations, leveraging multi-core parallelism. In this case, 'MPCR' facilitates mixed-precision execution by permitting varying precision levels for different [...truncated...]
Author: David Helmy [aut], Sameh Abdulah [cre], KAUST King Abdullah University of Science and Technology [fnd, cph]
Maintainer: Sameh Abdulah <sameh.abdulah@kaust.edu.sa>

Diff between MPCR versions 1.1.1 dated 2024-05-21 and 1.1.2 dated 2024-05-28

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Package dqrng updated to version 0.4.1 with previous version 0.4.0 dated 2024-05-15

Title: Fast Pseudo Random Number Generators
Description: Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 <https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as the Xoroshiro / Xoshiro family by Blackman and Vigna (2021 <doi:10.1145/3460772>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). The fast sampling methods support unweighted sampling both with and without replacement. These functions are exported to R and as a C++ interface and are enabled for use with the default 64 bit generator from the PCG family, Xoroshiro128+/++/** and Xoshiro256+/++/** as well as the 64 bit version of the 20 rounds Threefry engine (Salmon et al., 2011, <doi:10.1145/2063384.2063405>) as provided by the package 'sitmo'.
Author: Ralf Stubner [aut, cre] , daqana GmbH [cph], David Blackman [cph] , Melissa O'Neill [cph] , Sebastiano Vigna [cph] , Aaron Lun [ctb], Kyle Butts [ctb], Henrik Sloot [ctb], Philippe Grosjean [ctb]
Maintainer: Ralf Stubner <ralf.stubner@gmail.com>

Diff between dqrng versions 0.4.0 dated 2024-05-15 and 0.4.1 dated 2024-05-28

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Package cpop updated to version 1.0.7 with previous version 1.0.6 dated 2022-11-21

Title: Detection of Multiple Changes in Slope in Univariate Time-Series
Description: Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2019) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope. Further information regarding the use of this package with detailed examples can be found in Fearnhead and Grose (2024) <doi:10.18637/jss.v109.i07>.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

Diff between cpop versions 1.0.6 dated 2022-11-21 and 1.0.7 dated 2024-05-28

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Package textdata updated to version 0.4.5 with previous version 0.4.4 dated 2022-09-02

Title: Download and Load Various Text Datasets
Description: Provides a framework to download, parse, and store text datasets on the disk and load them when needed. Includes various sentiment lexicons and labeled text data sets for classification and analysis.
Author: Emil Hvitfeldt [aut, cre] , Julia Silge [ctb]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

Diff between textdata versions 0.4.4 dated 2022-09-02 and 0.4.5 dated 2024-05-28

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Package nlmixr2est updated to version 2.2.2 with previous version 2.2.1 dated 2024-01-31

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 2.2.1 dated 2024-01-31 and 2.2.2 dated 2024-05-28

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New package VIGoR with initial version 1.1.4
Package: VIGoR
Title: Variational Bayesian Inference for Genome-Wide Regression
Version: 1.1.4
Date: 2024-05-24
Description: Conducts linear regression using variational Bayesian inference, particularly optimized for genome-wide association mapping and whole-genome prediction which use a number of DNA markers as the explanatory variables. Provides seven regression models which select the important variables (i.e., the variables related to response variables) among the given explanatory variables in different ways (i.e., model structures).
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2024-05-28 08:03:00 UTC; lbds2
Author: Akio Onogi [aut, cre, cph], Hiroyoshi Iwata [cph], Takuji Nishimura [ctb] , Makoto Matsumoto [ctb] , STRUCTURE software contributors [ctb] , Alan Miller [ctb] , Peter Beerli [ctb]
Maintainer: Akio Onogi <onogiakio@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-28 16:20:06 UTC

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New package VBel with initial version 1.0
Package: VBel
Title: Variational Bayes for Fast and Accurate Empirical Likelihood Inference
Version: 1.0
Date: 2024-05-28
Description: Computes the Gaussian variational approximation of the Bayesian empirical likelihood posterior. This is an implementation of the function found in Yu, W., & Bondell, H. D. (2023) <doi:10.1080/01621459.2023.2169701>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.12), stats
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
URL: https://github.com/jlimrasc/VBel
BugReports: https://github.com/jlimrasc/VBel/issues
Suggests: mvtnorm, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-05-28 05:25:23 UTC; jerem
Author: Wei-Chang Yu [aut] , Jeremy Lim [cre, aut]
Maintainer: Jeremy Lim <jeremy.lim@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2024-05-28 16:20:09 UTC

More information about VBel at CRAN
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New package outliers.ts.oga with initial version 0.0.1
Package: outliers.ts.oga
Title: Efficient Outlier Detection in Heterogeneous Time Series Databases
Version: 0.0.1
Maintainer: Pedro Galeano <pedro.galeano@uc3m.es>
Description: Programs for detecting and cleaning outliers in single time series and in time series from homogeneous and heterogeneous databases using an Orthogonal Greedy Algorithm (OGA) for saturated linear regression models. The programs implement the procedures presented in the paper entitled "Efficient outlier detection in heterogeneous time series databases" by Pedro Galeano, Daniel Peña and Ruey S. Tsay (2024), working paper, Universidad Carlos III de Madrid.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: caret (>= 6.0-94), forecast (>= 8.22.0), gsarima (>= 0.1-5), parallel (>= 3.6.2), parallelly (>= 1.37.1), robust (>= 0.7-4), SLBDD (>= 0.0.4)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-05-28 15:36:46 UTC; PGALEANO
Author: Pedro Galeano [aut, cre] , Daniel Pena [aut] , Ruey S. Tsay [aut]
Repository: CRAN
Date/Publication: 2024-05-28 17:00:02 UTC

More information about outliers.ts.oga at CRAN
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New package marquee with initial version 0.1.0
Package: marquee
Title: Markdown Parser and Renderer for R Graphics
Version: 0.1.0
Description: Provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: cpp11
Imports: cli, glue, grid, jpeg, png, rlang (>= 1.1.0), systemfonts (>= 1.1.0), textshaping (>= 0.4.0), utils, vctrs
Suggests: ggplot2, gt, knitr, patchwork, ragg, rmarkdown, rsvg, testthat (>= 3.0.0)
URL: https://marquee.r-lib.org, https://github.com/r-lib/marquee
BugReports: https://github.com/r-lib/marquee/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-28 06:35:19 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Martin Mitas [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2024-05-28 16:20:02 UTC

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New package hdsvm with initial version 1.0.0
Package: hdsvm
Title: Fast Algorithm for Support Vector Machine
Version: 1.0.0
Date: 2024-05-20
Maintainer: Yikai Zhang <yikai-zhang@uiowa.edu>
Description: Implements an efficient algorithm to fit and tune penalized Support Vector Machine models using the generalized coordinate descent algorithm. This package is designed to handle large datasets effectively, with emphasis on precision and computational efficiency.
Depends: R (>= 3.5.0)
Imports: stats, utils, Matrix, methods
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-05-28 02:36:04 UTC; qtang7
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Qian Tang [aut], Yikai Zhang [aut, cre], Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2024-05-28 16:10:02 UTC

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New package emphatic with initial version 0.1.8
Package: emphatic
Title: Exploratory Analysis of Tabular Data using Colour Highlighting
Version: 0.1.8
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Tools for exploratory analysis of tabular data using colour highlighting. Highlighting is displayed in any console supporting 'ANSI' colours, and can be converted to 'HTML', 'typst', 'latex' and 'SVG'. 'quarto' and 'rmarkdown' rendering are directly supported. It is also possible to add colour to regular expression matches and highlight differences between two arbitrary R objects.
URL: https://coolbutuseless.github.io/package/emphatic/, https://github.com/coolbutuseless/emphatic
BugReports: https://github.com/coolbutuseless/emphatic/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, purrr, testthat, openxlsx
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-28 00:56:08 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-05-28 16:10:05 UTC

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New package DGP4LCF with initial version 1.0.0
Package: DGP4LCF
Title: Dependent Gaussian Processes for Longitudinal Correlated Factors
Version: 1.0.0
Maintainer: Jiachen Cai <jiachen.cai@mrc-bsu.cam.ac.uk>
Description: Functionalities for analyzing high-dimensional and longitudinal biomarker data to facilitate precision medicine, using a joint model of Bayesian sparse factor analysis and dependent Gaussian processes. This paper illustrates the method in detail: J Cai, RJB Goudie, C Starr, BDM Tom (2023) <doi:10.48550/arXiv.2307.02781>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: GPFDA, Rcpp, factor.switching, mvtnorm, combinat, coda, corrplot, pheatmap, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-28 12:41:28 UTC; jc2312
Author: Jiachen Cai [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-28 16:40:05 UTC

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New package cosimmr with initial version 1.0.11
Package: cosimmr
Title: Fast Fitting of Stable Isotope Mixing Models with Covariates
Version: 1.0.11
Date: 2024-05-27
Description: Fast fitting of Stable Isotope Mixing Models in R. Allows for the inclusion of covariates. Also has built-in summary functions and plot functions which allow for the creation of isospace plots. Variational Bayes is used to fit these models, methods as described in: Tran et al., (2021) <doi:10.48550/arXiv.2103.01327>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.10), R2jags, bayesplot, checkmate, ggplot2, viridis, reshape2, stats, ggnewscale
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-05-28 09:32:31 UTC; emmagovan
Author: Emma Govan [cre, aut], Andrew Parnell [aut], Ahmed Shalaby [ctb], Alan Inglis [ctb]
Maintainer: Emma Govan <emmagovan@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-28 16:40:02 UTC

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New package cofid with initial version 1.0.0
Package: cofid
Title: Copepod Fish Interaction Database
Version: 1.0.0
Description: A curated list of copepod-fish ecological interaction records. It contains the taxonomy of the copepod and the fish and the publication from which the information was obtained. This database contains only marine and brackish water fish species. It excludes fish species that inhabit only freshwater.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
URL: <https://alrobles.github.io/cofid/>
NeedsCompilation: no
Packaged: 2024-05-28 01:34:59 UTC; alroble8
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-28 16:10:08 UTC

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New package BLA with initial version 1.0.1
Package: BLA
Title: Boundary Line Analysis
Version: 1.0.1
Description: Fits boundary line models to datasets as proposed by Webb (1972) <doi:10.1080/00221589.1972.11514472> and makes statistical inferences about their parameters. Provides additional tools for testing datasets for evidence of boundary presence and selecting initial starting values for model optimization prior to fitting the boundary line models. It also includes tools for conducting post-hoc analyses such as predicting boundary values and identifying the most limiting factor (Miti, Milne, Giller, Lark (2024) <doi:10.1016/j.fcr.2024.109365>). This ensures a comprehensive analysis for datasets that exhibit upper boundary structures.
License: GPL (>= 3)
URL: https://chawezimiti.github.io/BLA/
BugReports: https://github.com/chawezimiti/BLA/issues
Depends: R (>= 4.0)
Imports: data.table, MASS, mvtnorm, numDeriv, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-28 13:48:22 UTC; stxcm28
Author: Chawezi Miti [cre, aut, cph] , Richard M Lark [aut] , Alice E Milne [aut] , Ken E Giller [aut] , Victor O Sadras [ctb], University of Nottingham/Rothamsted Research [fnd]
Maintainer: Chawezi Miti <chawezi.miti@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-28 16:50:02 UTC

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New package ANSM5 with initial version 1.0.0
Package: ANSM5
Title: Functions and Data for the Book "Applied Nonparametric Statistical Methods", 5th Edition
Version: 1.0.0
Description: Functions and data to accompany the 5th edition of the book "Applied Nonparametric Statistical Methods" (4th edition: Sprent & Smeeton, 2024, ISBN:158488701X), the revisions from the 4th edition including a move from describing the output from a miscellany of statistical software packages to using R. While the output from many of the functions can also be obtained using a range of other R functions, this package provides functions in a unified setting and give output using both p-values and confidence intervals, exemplifying the book's approach of treating p-values as a guide to statistical importance and not an end product in their own right.
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: stats
Depends: R (>= 2.10)
LazyData: true
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2024-05-28 14:44:33 UTC; soeqnhs
Author: Neil Spencer [aut, cre, cph]
Maintainer: Neil Spencer <neilhspencer@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-28 16:50:06 UTC

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Package antaresRead updated to version 2.7.0 with previous version 2.6.1 dated 2024-04-22

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 2.6.1 dated 2024-04-22 and 2.7.0 dated 2024-05-28

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Package tmle updated to version 2.0.1.1 with previous version 2.0.1 dated 2024-05-02

Title: Targeted Maximum Likelihood Estimation
Description: Targeted maximum likelihood estimation of point treatment effects (Targeted Maximum Likelihood Learning, The International Journal of Biostatistics, 2(1), 2006. This version automatically estimates the additive treatment effect among the treated (ATT) and among the controls (ATC). The tmle() function calculates the adjusted marginal difference in mean outcome associated with a binary point treatment, for continuous or binary outcomes. Relative risk and odds ratio estimates are also reported for binary outcomes. Missingness in the outcome is allowed, but not in treatment assignment or baseline covariate values. The population mean is calculated when there is missingness, and no variation in the treatment assignment. The tmleMSM() function estimates the parameters of a marginal structural model for a binary point treatment effect. Effect estimation stratified by a binary mediating variable is also available. An ID argument can be used to identify repeated measures. Default settings c [...truncated...]
Author: Susan Gruber [aut, cre], Mark van der Laan [aut], Chris Kennedy [ctr]
Maintainer: Susan Gruber <sgruber@cal.berkeley.edu>

Diff between tmle versions 2.0.1 dated 2024-05-02 and 2.0.1.1 dated 2024-05-28

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Package TestGenerator updated to version 0.3.1 with previous version 0.2.5 dated 2024-02-01

Title: Integration Unit Tests for Pharmacoepidemiological Studies
Description: Push a sample population for unit testing on data mapped to the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Cesar Barboza [cre, aut] , Ger Inberg [aut] , Adam Black [aut]
Maintainer: Cesar Barboza <c.barboza@darwin-eu.org>

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Package nhdplusTools updated to version 1.2.0 with previous version 1.1.0 dated 2024-05-14

Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre] , Mike Johnson [aut] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package TidyDensity updated to version 1.5.0 with previous version 1.4.0 dated 2024-04-26

Title: Functions for Tidy Analysis and Generation of Random Data
Description: To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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New package touRnamentofchampions with initial version 0.1.0
Package: touRnamentofchampions
Title: Tournament of Champions Data
Version: 0.1.0
Description: Several datasets which describe the challenges and results of competitions in Tournament of Champions. This data is useful for practicing data wrangling, graphing, and analyzing how each season of Tournament of Champions played out.
License: MIT + file LICENSE
URL: https://github.com/celevitz/touRnamentofchampions
BugReports: https://github.com/celevitz/touRnamentofchampions/issues
Depends: R (>= 4.2.0)
Imports: tidyverse (>= 2.0.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-27 23:51:22 UTC; carlylevitz
Author: Levitz Carly [cre, aut]
Maintainer: Levitz Carly <celevitz@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-28 12:10:02 UTC

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New package npDoseResponse with initial version 0.1
Package: npDoseResponse
Title: Nonparametric Estimation and Inference on Dose-Response Curves
Version: 0.1
Description: A novel integral estimator for estimating the causal effects with continuous treatments (or dose-response curves) and a localized derivative estimator for estimating the derivative effects. The inference on the dose-response curve and its derivative is conducted via nonparametric bootstrap. The reference paper is Zhang, Chen, and Giessing (2024) <doi:10.48550/arXiv.2405.09003>.
URL: https://github.com/zhangyk8/npDoseResponse/
BugReports: https://github.com/zhangyk8/npDoseResponse/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel, stats
Suggests: locpol
Maintainer: Yikun Zhang <yikunzhang@foxmail.com>
NeedsCompilation: no
Packaged: 2024-05-27 15:59:29 UTC; yikun
Author: Yikun Zhang [aut, cre] , Yen-Chi Chen [aut]
Repository: CRAN
Date/Publication: 2024-05-28 11:30:02 UTC

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New package hdqr with initial version 1.0.0
Package: hdqr
Title: Fast Algorithm for Penalized Quantile Regression
Version: 1.0.0
Date: 2024-05-20
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Description: Implements an efficient algorithm to fit and tune penalized quantile regression models using the generalized coordinate descent algorithm. This package is designed to handle large datasets effectively, with emphasis on precision and computational efficiency.
Depends: R (>= 3.5.0)
Imports: stats, utils, Matrix, methods
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-05-27 15:06:54 UTC; qtang7
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Qian Tang [aut, cre], Yikai Zhang [aut], Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2024-05-28 11:30:05 UTC

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New package ggfoundry with initial version 0.1.1
Package: ggfoundry
Title: Shape Foundry & Geom for 'ggplot2'
Version: 0.1.1
Description: A 'ggplot2' extension that supports arbitrary hand-crafted colourable & fillable shapes. New shapes may be feature requested via a Github issue.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: ggplot2 (>= 3.5.0), R (>= 4.1)
Imports: grid, grImport2, lifecycle, rlang
Suggests: dplyr, ggfx, ggimage, ggpp, ggtext, httr, knitr, patchwork, rmarkdown, showtext, stringr, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
URL: https://github.com/cgoo4/ggfoundry, https://cgoo4.github.io/ggfoundry/
BugReports: https://github.com/cgoo4/ggfoundry/issues
NeedsCompilation: no
Packaged: 2024-05-27 16:43:14 UTC; carlgoodwin
Author: Carl Goodwin [aut, cre, cph]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>
Repository: CRAN
Date/Publication: 2024-05-28 11:40:02 UTC

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Package DiscreteDatasets updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-05

Title: Example Data Sets for Use with Discrete Statistical Tests
Description: Provides several data sets for use with discrete statistical tests and discrete multiple testing procedures. Some of them are also available as a four-column version, so that each row represents a 2x2 table.
Author: Christina Kihn [aut], Sebastian Doehler [aut], Florian Junge [cre, aut]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

Diff between DiscreteDatasets versions 0.1.0 dated 2024-03-05 and 0.1.1 dated 2024-05-28

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New package CWT with initial version 0.1.1
Package: CWT
Title: Continuous Wavelet Transformation for Spectroscopy
Version: 0.1.1
Maintainer: J. Antonio Guzman Q. <antguz06@gmail.com>
Description: Fast application of Continuous Wavelet Transformation ('CWT') on time series with special attention to spectroscopy. It is written using data.table and 'C++' language and in some functions it is possible to use parallel processing to speed-up the computation over samples. Currently, only the second derivative of a Gaussian wavelet function is implemented.
License: GPL (>= 3)
URL: https://github.com/Antguz/CWT
BugReports: https://github.com/Antguz/CWT/issues
Depends: R (>= 4.0.0)
Imports: data.table (>= 1.14.0), Rcpp
Suggests: testthat (>= 3.2.0)
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-05-27 19:37:52 UTC; antonio
Author: J. Antonio Guzman Q. [cre, aut, cph]
Repository: CRAN
Date/Publication: 2024-05-28 12:00:05 UTC

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Package zcurve updated to version 2.4.2 with previous version 2.4.1 dated 2024-05-23

Title: An Implementation of Z-Curves
Description: An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the new density and EM version (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>), censored observations, as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.
Author: Frantisek Bartos [aut, cre], Ulrich Schimmack [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between zcurve versions 2.4.1 dated 2024-05-23 and 2.4.2 dated 2024-05-28

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Package sequoia updated to version 2.11.2 with previous version 2.11.1 dated 2024-05-27

Title: Pedigree Inference from SNPs
Description: Multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See Huisman (2017) (<DOI:10.1111/1755-0998.12665>) for more information.
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>

Diff between sequoia versions 2.11.1 dated 2024-05-27 and 2.11.2 dated 2024-05-28

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Package rxode2 updated to version 2.1.3 with previous version 2.1.2 dated 2024-01-30

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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Package gpboost updated to version 1.5.0 with previous version 1.4.0.1 dated 2024-04-15

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.4.0.1 dated 2024-04-15 and 1.5.0 dated 2024-05-28

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Package astrochron updated to version 1.3 with previous version 1.2 dated 2023-08-26

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers [aut,cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Huaran Liu [ctb], Vincent Moron [ctb], Michel Crucifix [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

Diff between astrochron versions 1.2 dated 2023-08-26 and 1.3 dated 2024-05-28

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Package Hmisc updated to version 5.1-3 with previous version 5.1-2 dated 2024-03-11

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.
Author: Frank E Harrell Jr [aut, cre] , Charles Dupont [ctb]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

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Package dynamite updated to version 1.5.2 with previous version 1.4.9 dated 2024-02-02

Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D'Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>

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Package fdaPDE (with last version 1.1-17) was removed from CRAN

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

2023-12-21 1.1-17
2023-03-01 1.1-16

Permanent link
Package Ecume updated to version 0.9.2 with previous version 0.9.1 dated 2021-03-15

Title: Equality of 2 (or k) Continuous Univariate and Multivariate Distributions
Description: We implement (or re-implements in R) a variety of statistical tools. They are focused on non-parametric two-sample (or k-sample) distribution comparisons in the univariate or multivariate case. See the vignette for more info.
Author: Hector Roux de Bezieux [aut, cre]
Maintainer: Hector Roux de Bezieux <hector.rouxdebezieux@berkeley.edu>

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Package wql updated to version 1.0.1 with previous version 1.0.0 dated 2022-08-10

Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and exploration of data from environmental monitoring programs. The package name stands for "water quality" and reflects the original focus on time series data for physical and chemical properties of water, as well as the biota. Intended for programs that sample approximately monthly, quarterly or annually at discrete stations, a feature of many legacy data sets. Most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan Jassby [aut], James Cloern [ctb], Jemma Stachelek [ctb, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>

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Package soundgen updated to version 2.6.3 with previous version 2.6.2 dated 2023-12-03

Title: Sound Synthesis and Acoustic Analysis
Description: Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also offers tools for audio manipulation and acoustic analysis, including pitch tracking, spectral analysis, audio segmentation, pitch and formant shifting, etc. Includes four interactive web apps for synthesizing and annotating audio, manually correcting pitch contours, and measuring formant frequencies. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <andrey.anikin@cogsci.se>

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Package ggfun updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-19

Title: Miscellaneous Functions for 'ggplot2'
Description: Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package VLTimeCausality updated to version 0.1.5 with previous version 0.1.4 dated 2022-01-24

Title: Variable-Lag Time Series Causality Inference Framework
Description: A framework to infer causality on a pair of time series of real numbers based on variable-lag Granger causality and transfer entropy. Typically, Granger causality and transfer entropy have an assumption of a fixed and constant time delay between the cause and effect. However, for a non-stationary time series, this assumption is not true. For example, considering two time series of velocity of person A and person B where B follows A. At some time, B stops tying his shoes, then running to catch up A. The fixed-lag assumption is not true in this case. We propose a framework that allows variable-lags between cause and effect in Granger causality and transfer entropy to allow them to deal with variable-lag non-stationary time series. Please see Chainarong Amornbunchornvej, Elena Zheleva, and Tanya Berger-Wolf (2021) <doi:10.1145/3441452> when referring to this package in publications.
Author: Chainarong Amornbunchornvej [aut, cre]
Maintainer: Chainarong Amornbunchornvej <grandca@gmail.com>

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