Thu, 25 Apr 2024

Package SpaDES.core updated to version 2.0.5 with previous version 2.0.4 dated 2024-04-16

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between SpaDES.core versions 2.0.4 dated 2024-04-16 and 2.0.5 dated 2024-04-25

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Package CAST updated to version 1.0.1 with previous version 1.0.0 dated 2024-04-08

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

Diff between CAST versions 1.0.0 dated 2024-04-08 and 1.0.1 dated 2024-04-25

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New package MDMA with initial version 1.1.0
Package: MDMA
Title: Mathijs Deen's Miscellaneous Auxiliaries
Date: 2024-04-25
Version: 1.1.0
Maintainer: Mathijs Deen <dev@mathijsdeen.com>
Description: Provides a variety of functions useful for data analysis, selection, manipulation, and graphics.
Depends: R (>= 4.2)
Imports: stats, MASS, graphics, methods, grDevices, car
License: GPL-3
URL: https://github.com/mathijsdeen/MDMA
BugReports: https://github.com/mathijsdeen/MDMA/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-25 10:20:59 UTC; mathijs-r
Author: Mathijs Deen [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-25 16:40:02 UTC

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New package epigrowthfit with initial version 0.15.2
Package: epigrowthfit
Version: 0.15.2
Date: 2024-04-24
License: GPL-3
Encoding: UTF-8
URL: https://github.com/davidearn/epigrowthfit
BugReports: https://github.com/davidearn/epigrowthfit/issues
Title: Nonlinear Mixed Effects Models of Epidemic Growth
Description: Maximum likelihood estimation of nonlinear mixed effects models of epidemic growth using Template Model Builder ('TMB'). Enables joint estimation for collections of disease incidence time series, including time series that describe multiple epidemic waves. Supports a set of widely used phenomenological models: exponential, logistic, Richards (generalized logistic), subexponential, and Gompertz. Provides methods for interrogating model objects and several auxiliary functions, including one for computing basic reproduction numbers from fitted values of the initial exponential growth rate. Preliminary versions of this software were applied in Ma et al. (2014) <doi:10.1007/s11538-013-9918-2> and in Earn et al. (2020) <doi:10.1073/pnas.2004904117>.
Depends: R (>= 4.3.0)
LinkingTo: RcppEigen (>= 0.3.4.0.0), TMB
Imports: Matrix (>= 1.6-2), TMB, grDevices, graphics, methods, nlme, stats, tools, utils
Suggests: emdbook
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-24 20:27:28 UTC; mikael
Author: Mikael Jagan [aut, cre] , Ben Bolker [aut] , Jonathan Dushoff [ctb] , David Earn [ctb] , Junling Ma [ctb]
Maintainer: Mikael Jagan <jaganmn@mcmaster.ca>
Repository: CRAN
Date/Publication: 2024-04-25 16:20:02 UTC

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New package boggy with initial version 0.0.1
Package: boggy
Title: Real-Time PCR Data Sets by Boggy et al. (2010)
Version: 0.0.1
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Boggy et al. (2008) <doi:10.1371/journal.pone.0012355>. This package provides a dilution series for one PCR target: a random sequence that minimizes secondary structure and off-target primer binding. The data set is a six-point, ten-fold dilution series. For each concentration there are two replicates. Each amplification curve is 40 cycles long. Original raw data file: <https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0012355.s004>.
License: CC BY 4.0
Encoding: UTF-8
Imports: tibble
Depends: R (>= 2.10)
LazyData: true
URL: https://rmagno.eu/boggy/, https://github.com/ramiromagno/boggy
BugReports: https://github.com/ramiromagno/boggy/issues
NeedsCompilation: no
Packaged: 2024-04-24 15:41:49 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-25 16:10:02 UTC

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New package SpatGC with initial version 0.1.0
Package: SpatGC
Title: Bayesian Modeling of Spatial Count Data
Version: 0.1.0
Maintainer: Mahsa Nadifar <mahsa.nst@gmail.com>
Description: Provides a collection of functions for preparing data and fitting Bayesian count spatial regression models, with a specific focus on the Gamma-Count (GC) model. The GC model is well-suited for modeling dispersed count data, including under-dispersed or over-dispersed counts, or counts with equivalent dispersion, using Integrated Nested Laplace Approximations (INLA). The package includes functions for generating data from the GC model, as well as spatially correlated versions of the model. See Nadifar, Baghishani, Fallah (2023) <doi:10.1007/s13253-023-00550-5>.
License: GPL (>= 2)
URL: https://github.com/mahsanst/SpatGC
Encoding: UTF-8
Depends: R (>= 4.0)
Additional_repositories: https://inla.r-inla-download.org/R/testing
Imports: mvtnorm, stats, spdep, sf
Suggests: INLA (>= 23.06.15)
NeedsCompilation: no
Packaged: 2024-04-24 19:15:06 UTC; u23027917
Author: Mahsa Nadifar [aut, cre] , Hossein Baghishani [aut]
Repository: CRAN
Date/Publication: 2024-04-25 15:40:05 UTC

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Package sfsmisc updated to version 1.1-18 with previous version 1.1-17 dated 2024-02-01

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sfsmisc versions 1.1-17 dated 2024-02-01 and 1.1-18 dated 2024-04-25

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New package quickPWCR with initial version 1.0
Package: quickPWCR
Title: Quickly construct and rating large binary pairwiesd comparisons
Version: 1.0
Date: 2024-04-23
Description: A collection of functions for constructing large pairwised comparisons and rating them using Elo rating system with supporting parallel processing. The method of random sample pairs is based on Reservoir Sampling proposed by JVitter (1985) <doi:10.1145/3147.3165>.
License: GPL-3
Encoding: UTF-8
Language: en_GB
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Imports: Rcpp, parallel, pbmcapply, dplyr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-04-24 21:05:09 UTC; yangxiaohao
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Repository: CRAN
Date/Publication: 2024-04-25 15:50:12 UTC

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New package doublIn with initial version 0.1.0
Package: doublIn
Title: Estimate Incubation or Latency Time using Doubly Interval Censored Observations
Version: 0.1.0
Maintainer: Vera Arntzen <v.h.arntzen@math.leidenuniv.nl>
Description: Visualize contact tracing data using a 'shiny' app and estimate the incubation or latency time of an infectious disease respecting the following characteristics in the analysis; (i) doubly interval censoring with (partly) overlapping or distinct windows; (ii) an infection risk corresponding to exponential growth; (iii) right truncation allowing for individual truncation times; (iv) different choices concerning the family of the distribution. For our earlier work, we refer to Arntzen et al. (2023) <doi:10.1002/sim.9726>. A paper describing our approach in detail will follow.
License: GPL (>= 3)
Encoding: UTF-8
Imports: coda, flexsurv, ggplot2, rjags, magrittr, tidyverse, DT, epicontacts, lubridate, mStats, plotly, shiny, shinyWidgets, shinydashboard, shinythemes, visNetwork, xtable, dplyr, methods
Suggests: testthat (>= 3.0.0), shinytest
NeedsCompilation: no
Packaged: 2024-04-24 15:29:29 UTC; veraarntzen
Author: Vera Arntzen [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-04-25 16:00:02 UTC

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New package disastr.api with initial version 1.0.6
Package: disastr.api
Title: Wrapper for the UN OCHA ReliefWeb Disaster Events API
Version: 1.0.6
Date: 2024-04-23
Author: Christoph Dworschak [aut, cre]
Maintainer: Christoph Dworschak <dworschak@posteo.de>
Description: Access and manage the application programming interface (API) of the United Nations Office for the Coordination of Humanitarian Affairs' (OCHA) ReliefWeb disaster events at <https://reliefweb.int/disasters>. The package requires a minimal number of dependencies. It offers functionality to retrieve a user-defined sample of disaster events from ReliefWeb, providing an easy alternative to scraping the ReliefWeb website. It enables a seamless integration of regular data updates into the research work flow.
License: GPL-3
Encoding: UTF-8
Language: en-US
Imports: httr, jsonlite
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-04-23 15:13:18 UTC; root
Repository: CRAN
Date/Publication: 2024-04-25 15:20:02 UTC

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New package asm with initial version 0.1.0
Package: asm
Title: Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching
Version: 0.1.0
License: GPL (>= 3)
Description: Performs linear regression with respect to a data-driven convex loss function that is chosen to minimize the asymptotic covariance of the resulting M-estimator. The convex loss function is estimated in 5 steps: (1) form an initial OLS (ordinary least squares) or LAD (least absolute deviation) estimate of the regression coefficients; (2) use the resulting residuals to obtain a kernel estimator of the error density; (3) estimate the score function of the errors by differentiating the logarithm of the kernel density estimate; (4) compute the L2 projection of the estimated score function onto the set of decreasing functions; (5) take a negative antiderivative of the projected score function estimate. Newton's method (with Hessian modification) is then used to minimize the convex empirical risk function. Further details of the method are given in Feng et al. (2024) <doi:10.48550/arXiv.2403.16688>.
Encoding: UTF-8
Depends: R (>= 3.1)
Imports: fdrtool, pracma, Iso, MASS, quantreg
NeedsCompilation: no
Packaged: 2024-04-24 20:10:53 UTC; minx
Author: Yu-Chun Kao [aut], Min Xu [aut, cre], Oliver Feng [aut]
Maintainer: Min Xu <min.cut@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-25 15:40:02 UTC

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Package TwoWayFEWeights updated to version 2.0.3 with previous version 2.0.2 dated 2024-04-15

Title: Estimation of the Weights Attached to the Two-Way Fixed Effects Regressions
Description: Estimates the weights and measure of robustness to treatment effect heterogeneity attached to two-way fixed effects regressions. Clément de Chaisemartin, Xavier D'Haultfœuille (2020) <DOI: 10.1257/aer.20181169>.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Shuo Zhang [aut], Clement de Chaisemartin [aut], Grant McDermott [ctb]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

Diff between TwoWayFEWeights versions 2.0.2 dated 2024-04-15 and 2.0.3 dated 2024-04-25

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Package runMCMCbtadjust updated to version 1.1.0 with previous version 1.0.5 dated 2023-12-13

Title: Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or 'greta' - While Adjusting Burn-in and Thinning Parameters
Description: The function runMCMC_btadjust() returns a mcmc.list object which is the output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' - after adjusting burn-in and thinning parameters to meet pre-specified criteria in terms of convergence & effective sample size.
Author: Frederic Gosselin [cre, aut] , Institut national de recherche pour l'agriculture, l'alimentation et l'environnement [cph]
Maintainer: Frederic Gosselin <frederic.gosselin@inrae.fr>

Diff between runMCMCbtadjust versions 1.0.5 dated 2023-12-13 and 1.1.0 dated 2024-04-25

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Package L1centrality updated to version 0.1.1 with previous version 0.0.3 dated 2024-01-09

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global and local L1 centrality/prestige and L1 centrality/prestige-based neighborhoods of vertices are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2024) <doi:10.48550/arXiv.2404.13233>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>

Diff between L1centrality versions 0.0.3 dated 2024-01-09 and 0.1.1 dated 2024-04-25

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New package adepro with initial version 4.1.0
Package: adepro
Title: A 'shiny' Application for the (Audio-)Visualization of Adverse Event Profiles
Version: 4.1.0
Author: Nicole Rethemeier, Christoph Tasto, Steffen Jeske
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>
Description: Contains a 'shiny' application called AdEPro (Animation of Adverse Event Profiles) which (audio-)visualizes adverse events occurring in clinical trials. As this data is usually considered sensitive, this tool is provided as a stand-alone application that can be launched from any local machine on which the data is stored.
Depends: R (>= 3.5.0), shinyBS, seriation (>= 1.2.9)
License: GPL-3
URL: https://github.com/Bayer-Group/BIC-AdEPro
Encoding: UTF-8
Imports: graphics, MASS, V8, forcats, here, utils, shinyjs, shiny, audio, shape, Cairo, dplyr, readr, rlang, tidyr, haven, stats, shinyWidgets
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-25 07:05:16 UTC; SGFPJ
Repository: CRAN
Date/Publication: 2024-04-25 14:50:02 UTC

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Package RepeatedHighDim updated to version 2.3.0 with previous version 2.2.0 dated 2023-06-29

Title: Methods for High-Dimensional Repeated Measures Data
Description: A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
Author: Klaus Jung [aut, cre], Jochen Kruppa [aut], Sergej Ruff [aut]
Maintainer: Klaus Jung <klaus.jung@tiho-hannover.de>

Diff between RepeatedHighDim versions 2.2.0 dated 2023-06-29 and 2.3.0 dated 2024-04-25

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Package MoNAn updated to version 1.0.0 with previous version 0.1.3 dated 2024-02-05

Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks.
Author: Per Block [cre, aut, cph] , Christoph Stadtfeld [aut] , Nico Keiser [aut], Marion Hoffman [aut]
Maintainer: Per Block <block@soziologie.uzh.ch>

Diff between MoNAn versions 0.1.3 dated 2024-02-05 and 1.0.0 dated 2024-04-25

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Package fs updated to version 1.6.4 with previous version 1.6.3 dated 2023-07-20

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut, cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package CoTiMA updated to version 0.8.0 with previous version 0.7.0 dated 2023-12-16

Title: Continuous Time Meta-Analysis ('CoTiMA')
Description: The 'CoTiMA' package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common fixed or random effects analysis. However, continuous time math, which is applied in 'CoTiMA', can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. 'CoTiMA' fits models to empirical data using the structural equation model (SEM) package 'ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical model comparisons and significance [...truncated...]
Author: Christian Dormann [aut, cph], Markus Homberg [aut, com, cre], Olga Diener [ctb], Christina Guthier [ctb], Manuel Voelkle [ctb]
Maintainer: Markus Homberg <cotima@uni-mainz.de>

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Package RQuantLib updated to version 0.4.22 with previous version 0.4.21 dated 2024-02-01

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen , Terry Leitch
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package nnlib2Rcpp updated to version 0.2.6 with previous version 0.2.5 dated 2024-03-09

Title: A Tool for Creating Custom Neural Networks in C++ and using Them in R
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Author: Vasilis Nikolaidis [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <v.nikolaidis@uop.gr>

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Package frscore updated to version 0.4.0 with previous version 0.3.1 dated 2023-04-28

Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Description: Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Author: Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [aut, cph]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>

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Package BIFIEsurvey updated to version 3.6-6 with previous version 3.5-19 dated 2024-02-18

Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights; see Kolenikov, 2010; Pfefferman & Rao, 2009a, 2009b, <doi:10.1016/S0169-7161(09)70003-3>, <doi:10.1016/S0169-7161(09)70037-9>); Shao, 1996, <doi:10.1080/02331889708802523>). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets and is in particularly suited for the analysis of plausible values (for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016; Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham & Yanagida, 2016). The package development was supported by BIFIE (Federal Institute for Educational Research, Innovation and Development of [...truncated...]
Author: BIFIE [aut], Alexander Robitzsch [aut, cre], Konrad Oberwimmer [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package stringmagic updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-06

Title: Character String Operations and Interpolation, Magic Edition
Description: Performs complex string operations compactly and efficiently. Supports string interpolation jointly with over 50 string operations. Also enhances regular string functions (like grep() and co). See an introduction at <https://lrberge.github.io/stringmagic/>.
Author: Laurent R Berge [aut, cre] , Morgan Jacob [ctb]
Maintainer: Laurent R Berge <laurent.berge@u-bordeaux.fr>

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Package polle updated to version 1.4 with previous version 1.3 dated 2023-07-06

Title: Policy Learning
Description: Framework for evaluating user-specified finite stage policies and learning realistic policies via doubly robust loss functions. Policy learning methods include doubly robust Q-learning, sequential policy tree learning, and outcome weighted learning. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

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Package xopen updated to version 1.0.1 with previous version 1.0.0 dated 2018-09-17

Title: Open System Files, 'URLs', Anything
Description: Cross platform solution to open files, directories or 'URLs' with their associated programs.
Author: Gabor Csardi [aut, cre], Fathi Boudra [aut], Rex Dieter [aut], Kevin Krammer [aut], Jeremy White [aut], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package Umatrix updated to version 4.0 with previous version 3.4.1 dated 2023-11-25

Title: Visualization of Structures in High-Dimensional Data
Description: By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'. Based on the recognized data structures, the method can be used to generate new data.
Author: Florian Lerch[aut,cre], Michael Thrun[aut], Felix Pape[ctb], Jorn Lotsch[aut], Raphael Paebst[ctb], Alfred Ultsch[aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package statConfR updated to version 0.1.1 with previous version 0.0.1 dated 2023-09-22

Title: Models of Decision Confidence and Metacognition
Description: Provides fitting functions and other tools for decision confidence and metacognition researchers, including meta-d'/d', often considered to be the gold standard to measure metacognitive efficiency. Also allows to fit several static models of decision making and confidence to test the assumptions underlying meta-d'/d' and which may serve as an alternative when the assumptions of meta-d'/d' do not hold. See also Rausch et al. (2023) <doi:10.1037/met0000634>.
Author: Manuel Rausch [aut, cre] , Sebastian Hellmann [aut]
Maintainer: Manuel Rausch <manuel.rausch@hochschule-rhein-waal.de>

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Package admix updated to version 2.1-3 with previous version 2.1-2 dated 2023-07-12

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density (see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>; Patra and Sen (2016) <doi:10.1111/rssb.12148>); Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>). In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi, Vandekerkhove (2023)). Finally, clustering of unknown mixture components is also feasible in a K-samples setting.
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

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Package webfakes updated to version 1.3.1 with previous version 1.3.0 dated 2023-12-10

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the 'httpbin.org' web service.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd], Civetweb contributors [ctb] , Redoc contributors [ctb] , L. Peter Deutsch [ctb] , Martin Purschke [ctb] , Aladdin Enterprises [cph] , Maelle Salmon [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package RStoolbox updated to version 1.0.0 with previous version 0.4.0 dated 2024-01-17

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

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Package secretbase updated to version 0.5.0 with previous version 0.4.0 dated 2024-04-04

Title: Cryptographic Hash and Extendable-Output Functions
Description: Fast and memory-efficient streaming hash functions. Performs direct hashing of strings, raw bytes, and files potentially larger than memory, as well as hashing in-memory objects through R's serialization mechanism, without requiring allocation of the serialized object. Implementations include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random function. The SHA-3 Secure Hash Standard was published by the National Institute of Standards and Technology (NIST) in 2015 at <doi:10.6028/NIST.FIPS.202>. The SHA-256 Secure Hash Standard was published by NIST in 2002 at <https://csrc.nist.gov/publications/fips/fips180-2/fips180-2.pdf>.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package debugme updated to version 1.2.0 with previous version 1.1.0 dated 2017-10-22

Title: Debug R Packages
Description: Specify debug messages as special string constants, and control debugging of packages via environment variables.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package finbif updated to version 0.9.6 with previous version 0.9.5 dated 2024-03-15

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

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Package StanHeaders updated to version 2.32.7 with previous version 2.32.6 dated 2024-03-01

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The [...truncated...]
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Wed, 24 Apr 2024

Package GPBayes updated to version 0.1.0-6 with previous version 0.1.0-5.1 dated 2023-02-01

Title: Tools for Gaussian Process Modeling in Uncertainty Quantification
Description: Gaussian processes ('GPs') have been widely used to model spatial data, 'spatio'-temporal data, and computer experiments in diverse areas of statistics including spatial statistics, 'spatio'-temporal statistics, uncertainty quantification, and machine learning. This package creates basic tools for fitting and prediction based on 'GPs' with spatial data, 'spatio'-temporal data, and computer experiments. Key characteristics for this GP tool include: (1) the comprehensive implementation of various covariance functions including the 'Matérn' family and the Confluent 'Hypergeometric' family with isotropic form, tensor form, and automatic relevance determination form, where the isotropic form is widely used in spatial statistics, the tensor form is widely used in design and analysis of computer experiments and uncertainty quantification, and the automatic relevance determination form is widely used in machine learning; (2) implementations via Markov chain Monte Carlo ('MCMC') algorithms and [...truncated...]
Author: Pulong Ma [aut, cre]
Maintainer: Pulong Ma <mpulong@gmail.com>

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Package chevron updated to version 0.2.6 with previous version 0.2.5 dated 2024-02-01

Title: Standard TLGs for Clinical Trials Reporting
Description: Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.
Author: Liming Li [aut, cre], Benoit Falquet [aut], Xiaoli Duan [aut], Adrian Waddell [ctb], Chenkai Lv [ctb], Pawel Rucki [ctb], Tim Barnett [ctb], Tian Fang [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Liming Li <liming.li@roche.com>

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Package applicable updated to version 0.1.1 with previous version 0.1.0 dated 2022-08-20

Title: A Compilation of Applicability Domain Methods
Description: A modeling package compiling applicability domain methods in R. It combines different methods to measure the amount of extrapolation new samples can have from the training set. See Gadaleta et al (2016) <doi:10.4018/IJQSPR.2016010102> for an overview of applicability domains.
Author: Marly Gotti [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Marly Gotti <marlygotti@gmail.com>

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Package causact updated to version 0.5.5 with previous version 0.5.4 dated 2024-02-24

Title: Fast, Easy, and Visual Bayesian Inference
Description: Accelerate Bayesian analytics workflows in 'R' through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on interfacing with the 'numpyro' python package.
Author: Adam Fleischhacker [aut, cre, cph], Daniela Dapena [ctb], Rose Nguyen [ctb], Jared Sharpe [ctb]
Maintainer: Adam Fleischhacker <ajf@udel.edu>

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More information about causact at CRAN
Permanent link

Package cranlike updated to version 1.0.3 with previous version 1.0.2 dated 2018-11-26

Title: Tools for 'CRAN'-Like Repositories
Description: A set of functions to manage 'CRAN'-like repositories efficiently.
Author: Gabor Csardi
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cranlike versions 1.0.2 dated 2018-11-26 and 1.0.3 dated 2024-04-24

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 MD5                              |   31 ++++++++++++++++---------------
 NEWS.md                          |   13 ++++++++++---
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 tests/testthat/test-cranlike.R   |   21 +++++++++++++--------
 tests/testthat/test-db.R         |   30 +++---------------------------
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 17 files changed, 135 insertions(+), 112 deletions(-)

More information about cranlike at CRAN
Permanent link

Package clinDataReview updated to version 1.5.1 with previous version 1.5.0 dated 2023-12-11

Title: Clinical Data Review Tool
Description: Creation of interactive tables, listings and figures ('TLFs') and associated report for exploratory analysis of data in a clinical trial, e.g. for clinical oversight activities. Interactive figures include sunburst, treemap, scatterplot, line plot and barplot of counts data. Interactive tables include table of summary statistics (as counts of adverse events, enrollment table) and listings. Possibility to compare data (summary table or listing) across two data batches/sets. A clinical data review report is created via study-specific configuration files and template 'R Markdown' reports contained in the package.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Lennart Tuijnder [aut], Adriaan Blommaert [aut], Arne De Roeck [ctb, rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

Diff between clinDataReview versions 1.5.0 dated 2023-12-11 and 1.5.1 dated 2024-04-24

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 clinDataReview-1.5.1/clinDataReview/build/vignette.rds                                                    |binary
 clinDataReview-1.5.1/clinDataReview/inst/NEWS                                                             |   11 +
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 clinDataReview-1.5.1/clinDataReview/inst/skeleton/config/config-subjectDisposition-division.yml           |    2 
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 clinDataReview-1.5.1/clinDataReview/inst/skeleton/index.Rmd                                               |    2 
 clinDataReview-1.5.1/clinDataReview/inst/template/patientProfilesTemplate.Rmd                             |    2 
 clinDataReview-1.5.1/clinDataReview/tests/testthat/test_render_clinDataReviewReport.R                     |    8 
 clinDataReview-1.5.1/clinDataReview/tests/testthat/test_skeleton.R                                        |   47 ++++-
 38 files changed, 271 insertions(+), 168 deletions(-)

More information about clinDataReview at CRAN
Permanent link

Package cliapp updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-07

Title: Create Rich Command Line Applications
Description: Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes. This package is now superseded by the 'cli' package. Please use 'cli' instead in new projects.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cliapp versions 0.1.1 dated 2020-10-07 and 0.1.2 dated 2024-04-24

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 13 files changed, 84 insertions(+), 61 deletions(-)

More information about cliapp at CRAN
Permanent link

Package riskscores updated to version 1.1.1 with previous version 1.1.0 dated 2024-04-16

Title: Optimized Integer Risk Score Models
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
Author: Hannah Eglinton [aut, cre], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] , Robert Gentleman [ctb, cph] , Ross Ihaka [ctb, cph] , Simon Davies [ctb] ), Thomas Lumley [ctb] )
Maintainer: Hannah Eglinton <eglintonh@gmail.com>

Diff between riskscores versions 1.1.0 dated 2024-04-16 and 1.1.1 dated 2024-04-24

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 riskscores-1.1.1/riskscores/inst/doc/riskscores.html |    6 +--
 7 files changed, 21 insertions(+), 48 deletions(-)

More information about riskscores at CRAN
Permanent link

Package brio updated to version 1.1.5 with previous version 1.1.4 dated 2023-12-10

Title: Basic R Input Output
Description: Functions to handle basic input output, these functions always read and write UTF-8 (8-bit Unicode Transformation Format) files and provide more explicit control over line endings.
Author: Jim Hester [aut] , Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between brio versions 1.1.4 dated 2023-12-10 and 1.1.5 dated 2024-04-24

 DESCRIPTION      |    6 +++---
 MD5              |    6 +++---
 NEWS.md          |    4 ++++
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 4 files changed, 24 insertions(+), 11 deletions(-)

More information about brio at CRAN
Permanent link

Package SIHR updated to version 2.1.0 with previous version 2.0.1 dated 2023-04-09

Title: Statistical Inference in High Dimensional Regression
Description: The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.
Author: Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>

Diff between SIHR versions 2.0.1 dated 2023-04-09 and 2.1.0 dated 2024-04-24

 DESCRIPTION                  |   38 +-
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More information about SIHR at CRAN
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Package mongolite updated to version 2.8.0 with previous version 2.7.3 dated 2023-12-04

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 2.7.3 dated 2023-12-04 and 2.8.0 dated 2024-04-24

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 mongolite-2.8.0/mongolite/NEWS                                               |    3 
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More information about mongolite at CRAN
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Package xslt updated to version 1.4.5 with previous version 1.4.4 dated 2023-02-21

Title: Extensible Style-Sheet Language Transformations
Description: An extension for the 'xml2' package to transform XML documents by applying an 'xslt' style-sheet.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between xslt versions 1.4.4 dated 2023-02-21 and 1.4.5 dated 2024-04-24

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Package gslnls updated to version 1.3.0 with previous version 1.2.0 dated 2023-12-11

Title: GSL Multi-Start Nonlinear Least-Squares Fitting
Description: An R interface to nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between gslnls versions 1.2.0 dated 2023-12-11 and 1.3.0 dated 2024-04-24

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Package GeDS updated to version 0.2.2 with previous version 0.2.1 dated 2024-04-11

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <andrea.lattuada@hotmail.com> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Emilio S. Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>

Diff between GeDS versions 0.2.1 dated 2024-04-11 and 0.2.2 dated 2024-04-24

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Package traudem updated to version 1.0.3 with previous version 1.0.2 dated 2024-02-06

Title: Use TauDEM
Description: Simple trustworthy utility functions to use TauDEM (Terrain Analysis Using Digital Elevation Models <https://hydrology.usu.edu/taudem/taudem5/>) command-line interface. This package provides a guide to installation of TauDEM and its dependencies GDAL (Geopatial Data Abstraction Library) and MPI (Message Passing Interface) for different operating systems. Moreover, it checks that TauDEM and its dependencies are correctly installed and included to the PATH, and it provides wrapper commands for calling TauDEM methods from R.
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd], Maelle Salmon [aut] , Wael Sadek [aut], Kirill Mueller [aut]
Maintainer: Luca Carraro <Luca.Carraro@eawag.ch>

Diff between traudem versions 1.0.2 dated 2024-02-06 and 1.0.3 dated 2024-04-24

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Package SimDesign updated to version 2.15.1 with previous version 2.15 dated 2024-04-11

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between SimDesign versions 2.15 dated 2024-04-11 and 2.15.1 dated 2024-04-24

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Package shinyWidgets updated to version 0.8.6 with previous version 0.8.5 dated 2024-04-17

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between shinyWidgets versions 0.8.5 dated 2024-04-17 and 0.8.6 dated 2024-04-24

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Package Rtwobitlib updated to version 0.3.6 with previous version 0.3.5 dated 2024-04-22

Title: '2bit' 'C' Library
Description: A trimmed down copy of the "kent-core source tree" turned into a 'C' library for manipulation of '.2bit' files. See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7> for a quick overview of the '2bit' format. The "kent-core source tree" can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>. Only the '.c' and '.h' files from the source tree that are related to manipulation of '.2bit' files were kept. Note that the package is primarily useful to developers of other R packages who wish to use the '2bit' 'C' library in their own 'C'/'C++' code.
Author: Herve Pages [aut, cre], UC Regents [cph]
Maintainer: Herve Pages <hpages.on.github@gmail.com>

Diff between Rtwobitlib versions 0.3.5 dated 2024-04-22 and 0.3.6 dated 2024-04-24

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Package luajr updated to version 0.1.7 with previous version 0.1.6 dated 2024-02-23

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

Diff between luajr versions 0.1.6 dated 2024-02-23 and 0.1.7 dated 2024-04-24

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Package AcceptReject updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-11

Title: Acceptance-Rejection Method for Generating Pseudo-Random Observations
Description: Provides a function that implements the acceptance-rejection method in an optimized manner to generate pseudo-random observations for discrete or continuous random variables. The function is optimized to work in parallel on Unix-based operating systems and performs well on Windows systems. The acceptance-rejection method implemented optimizes the probability of generating observations from the desired random variable, by simply providing the probability function or probability density function, in the discrete and continuous cases, respectively. Implementation is based on references CASELLA, George at al. (2004) <https://www.jstor.org/stable/4356322>, NEAL, Radford M. (2003) <https://www.jstor.org/stable/3448413> and Bishop, Christopher M. (2006, ISBN: 978-0387310732).
Author: Pedro Rafael D. Marinho [aut, cre] , Vera Lucia Damasceno Tomazella [aut]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

Diff between AcceptReject versions 0.1.0 dated 2024-04-11 and 0.1.1 dated 2024-04-24

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Package quanteda updated to version 4.0.2 with previous version 4.0.1 dated 2024-04-08

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Paul Nulty [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , William Lowe [aut] , Christian Mueller [ctb], Olivier Delmarcelle [ctb] , European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 4.0.1 dated 2024-04-08 and 4.0.2 dated 2024-04-24

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Package Qindex.data updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-05

Title: Data for Package 'Qindex'
Description: Example data used in package 'Qindex'.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [aut, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between Qindex.data versions 0.1.0 dated 2024-04-05 and 0.1.1 dated 2024-04-24

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Package nimbleAPT updated to version 1.0.6 with previous version 1.0.5 dated 2024-04-22

Title: Adaptive Parallel Tempering for 'NIMBLE'
Description: Functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted from 'Lacki' & 'Miasojedow' (2016) <DOI:10.1007/s11222-015-9579-0> and 'Miasojedow, Moulines and Vihola' (2013) <DOI:10.1080/10618600.2013.778779>.
Author: David Pleydell [aut, cre, cph] , Daniel Turek [cph] , Perry de Valpine [cph] , Christopher Paciorek [cph] , Nick Michaud [cph]
Maintainer: David Pleydell <david.pleydell@inrae.fr>

Diff between nimbleAPT versions 1.0.5 dated 2024-04-22 and 1.0.6 dated 2024-04-24

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Package mlr3 updated to version 0.19.0 with previous version 0.18.0 dated 2024-03-05

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [c [...truncated...]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3 versions 0.18.0 dated 2024-03-05 and 0.19.0 dated 2024-04-24

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Package IRR2FPR updated to version 0.1.1 with previous version 0.1 dated 2024-04-10

Title: Computing False Positive Rate from Inter-Rater Reliability
Description: Implements a 'Shiny Item Analysis' module and functions for computing false positive rate and other binary classification metrics from inter-rater reliability based on Bartoš & Martinková (2024) <doi:10.1111/bmsp.12343>.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between IRR2FPR versions 0.1 dated 2024-04-10 and 0.1.1 dated 2024-04-24

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Package crew.cluster updated to version 0.3.1 with previous version 0.3.0 dated 2024-02-07

Title: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/shikokuchuo/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Michael Gilbert Levin [aut] , Brendan Furneaux [aut] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew.cluster versions 0.3.0 dated 2024-02-07 and 0.3.1 dated 2024-04-24

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Package crew updated to version 0.9.2 with previous version 0.9.1 dated 2024-03-25

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew versions 0.9.1 dated 2024-03-25 and 0.9.2 dated 2024-04-24

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New package tsgarch with initial version 1.0.0
Package: tsgarch
Title: Univariate GARCH Models
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Depends: R (>= 3.5.0), methods, tsmethods
LinkingTo: Rcpp (>= 0.10.6), RcppArmadillo, TMB(>= 1.7.20), RcppEigen
Imports: TMB (>= 1.7.20), Rcpp, nloptr, Rdpack, numDeriv, xts, zoo, future.apply, future, progressr, flextable, stats, utils, data.table, tsdistributions, lubridate, sandwich
Description: Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
License: GPL-2
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/tsmodels/tsgarch/issues
ByteCompile: true
URL: https://github.com/tsmodels/tsgarch
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-23 14:22:30 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-24 14:30:02 UTC

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New package sqltargets with initial version 0.0.1
Package: sqltargets
Title: Targets Extension for 'SQL' Queries
Version: 0.0.1
Maintainer: David Ranzolin <daranzolin@gmail.com>
Description: Provides an extension for 'SQL' queries as separate file within targets pipelines. The shorthand creates two targets, the query file and the query result.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, DBI, fs, glue, purrr, readr, rlang, RSQLite, stringr, tarchetypes, targets, withr
URL: https://github.com/daranzolin/sqltargets
BugReports: https://github.com/daranzolin/sqltargets/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-04-23 20:18:05 UTC; dranzolin
Author: David Ranzolin [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-24 14:50:02 UTC

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New package snvecR with initial version 3.9.3
Package: snvecR
Title: Calculate Earth’s Obliquity and Precession in the Past
Version: 3.9.3
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the 'C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the 'C'-routine is 'snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: astrochron, ggplot2, tidyr, testthat, roxygen2, knitr, withr, curl, rmarkdown
Imports: deSolve, cli (>= 3.4.0), stats, dplyr, tibble, purrr, readr, tidyselect, rlang (>= 0.4.11), glue, tools, backports (>= 1.1.6)
Depends: R (>= 3.6.0)
VignetteBuilder: knitr
URL: https://japhir.github.io/snvecR/, https://github.com/japhir/snvecR
BugReports: https://github.com/japhir/snvecR/issues
NeedsCompilation: yes
Packaged: 2024-04-23 09:45:10 UTC; japhir
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>
Repository: CRAN
Date/Publication: 2024-04-24 14:10:02 UTC

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New package SIAtools with initial version 0.1.0
Package: SIAtools
Title: 'ShinyItemAnalysis' Modules Development Toolkit
Version: 0.1.0
Description: A comprehensive suite of functions designed for constructing and managing 'ShinyItemAnalysis' modules, supplemented with detailed guides, ready-to-use templates, linters, and tests. This package allows developers to seamlessly create and integrate one or more modules into their existing packages or to start a new module project from scratch.
License: GPL (>= 3)
URL: https://applstat.github.io/SIAtools/
Depends: R (>= 3.6.0)
Imports: cli, desc, fs, magrittr, purrr, rlang, shiny, usethis, yaml
Suggests: glue, knitr, lintr, pkgload, rmarkdown, roxygen2, rstudioapi, spelling, testthat (>= 3.0.0), tibble, tidyr, withr, xml2
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-04-23 15:49:36 UTC; netik
Author: Jan Netik [cre, aut] , Patricia Martinkova [aut]
Maintainer: Jan Netik <netik@cs.cas.cz>
Repository: CRAN
Date/Publication: 2024-04-24 14:40:02 UTC

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Package ShinyItemAnalysis updated to version 1.5.1 with previous version 1.5.0 dated 2023-05-08

Title: Test and Item Analysis via Shiny
Description: Package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre], Adela Hladka [aut], Jan Netik [aut], Ondrej Leder [ctb], Jakub Houdek [ctb], Lubomir Stepanek [ctb], Tomas Jurica [ctb], Jana Vorlickova [ctb]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between ShinyItemAnalysis versions 1.5.0 dated 2023-05-08 and 1.5.1 dated 2024-04-24

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New package plotcli with initial version 0.1.0
Package: plotcli
Title: Command Line Interface Plotting
Version: 0.1.0
Date: 2024-04-01
Description: The 'plotcli' package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, and box plots. The package allows users to customize plot appearance, add titles, labels, ticks, and legends, and output the plot as a text-based visualization.
License: LGPL-3
URL: https://github.com/cheuerde/plotcli
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R6, ggplot2
Imports: utils, crayon, knitr, rmarkdown, stringr, rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-04-23 08:34:53 UTC; cheuer
Author: Claas Heuer [aut, cre]
Maintainer: Claas Heuer <claasheuer@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 14:10:07 UTC

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New package mlr3summary with initial version 0.1.0
Package: mlr3summary
Title: Model and Learner Summaries for 'mlr3'
Version: 0.1.0
Description: Concise and interpretable summaries for machine learning models and learners of the 'mlr3' ecosystem. The package takes inspiration from the summary function for (generalized) linear models but extends it to non-parametric machine learning models, based on generalization performance, model complexity, feature importances and effects, and fairness metrics.
License: LGPL-3
Depends: R (>= 3.5.0)
Imports: backports, checkmate (>= 2.0.0), data.table, mlr3 (>= 0.12.0), mlr3misc, cli, future.apply (>= 1.5.0),
Suggests: testthat (>= 3.1.0), iml, mlr3pipelines, mlr3fairness, mlr3learners, fastshap, ranger, rpart
Language: en-US
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Packaged: 2024-04-23 13:05:15 UTC; susanne
Author: Susanne Dandl [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut] , Giuseppe Casalicchio [aut] , Ludwig Bothmann [aut]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 14:20:02 UTC

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Package keyATM updated to version 0.5.2 with previous version 0.5.1 dated 2024-02-04

Title: Keyword Assisted Topic Models
Description: Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2024) <doi:10.1111/ajps.12779>.
Author: Shusei Eshima [aut, cre] , Tomoya Sasaki [aut], Kosuke Imai [aut], Chung-hong Chan [ctb] , Romain Francois [ctb] , William Lowe [ctb], Seo-young Silvia Kim [ctb]
Maintainer: Shusei Eshima <shuseieshima@gmail.com>

Diff between keyATM versions 0.5.1 dated 2024-02-04 and 0.5.2 dated 2024-04-24

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 14 files changed, 50 insertions(+), 107 deletions(-)

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New package CalcThemAll.PRM with initial version 1.1.1
Package: CalcThemAll.PRM
Title: Calculate Pesticide Risk Metric (PRM) Values from Multiple Pesticides...Calc Them All
Version: 1.1.1
Description: Contains functions which can be used to calculate Pesticide Risk Metric values in aquatic environments from concentrations of multiple pesticides with known species sensitive distributions (SSDs). Pesticides provided by this package have all be validated however if the user has their own pesticides with SSD values they can append them to the pesticide_info table to include them in estimates.
Encoding: UTF-8
License: GPL (>= 3)
Imports: dplyr, lubridate, magrittr, MASS, stats, VGAM, plotly, zoo, DT
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-23 13:44:40 UTC; Alexander
Author: Alexander Bezzina [aut, cre, cph], Jennifer Strauss [aut], Catherine Neelamraju [aut], Hayley Kaminski [aut]
Maintainer: Alexander Bezzina <alex.h.bezzina@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 14:30:05 UTC

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New package slap with initial version 2024.4.1
Package: slap
Title: Simplified Error Handling
Version: 2024.4.1
Description: Alternative to using withCallingHandlers() in the simple case of catch and rethrow. The `%!%` operator evaluates the expression on its left hand side, and if an error occurs, the right hand side is used to construct a new error that embeds the original error.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: cli, rlang
URL: https://github.com/tadascience/slap, https://slap.tada.science
BugReports: https://github.com/tadascience/slap/issues
NeedsCompilation: no
Packaged: 2024-04-23 07:36:18 UTC; romainfrancois
Author: Romain Francois [aut, cre], tada.science [cph, fnd]
Maintainer: Romain Francois <romain@tada.science>
Repository: CRAN
Date/Publication: 2024-04-24 14:00:02 UTC

More information about slap at CRAN
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Package tipsae updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-26

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).
Author: Silvia De Nicolo [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolo <silvia.denicolo@unibo.it>

Diff between tipsae versions 1.0.0 dated 2024-03-26 and 1.0.1 dated 2024-04-24

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Package anticlust updated to version 0.8.3 with previous version 0.8.1 dated 2023-10-26

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to exact and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The exact algorithms require that an integer linear programming solver is installed, either the GNU linear programming kit (<https://www.gnu.org/software/g [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.8.1 dated 2023-10-26 and 0.8.3 dated 2024-04-24

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Package spc updated to version 0.6.8 with previous version 0.6.7 dated 2022-10-24

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

Diff between spc versions 0.6.7 dated 2022-10-24 and 0.6.8 dated 2024-04-24

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Package segclust2d updated to version 0.3.3 with previous version 0.3.1 dated 2023-08-21

Title: Bivariate Segmentation/Clustering Methods and Tools
Description: Provides two methods for segmentation and joint segmentation/clustering of bivariate time-series. Originally intended for ecological segmentation (home-range and behavioural modes) but easily applied on other series, the package also provides tools for analysing outputs from R packages 'moveHMM' and 'marcher'. The segmentation method is a bivariate extension of Lavielle's method available in 'adehabitatLT' (Lavielle, 1999 <doi:10.1016/S0304-4149(99)00023-X> and 2005 <doi:10.1016/j.sigpro.2005.01.012>). This method rely on dynamic programming for efficient segmentation. The segmentation/clustering method alternates steps of dynamic programming with an Expectation-Maximization algorithm. This is an extension of Picard et al (2007) <doi:10.1111/j.1541-0420.2006.00729.x> method (formerly available in 'cghseg' package) to the bivariate case. The method is fully described in Patin et al (2018) <doi:10.1101/444794>.
Author: Remi Patin [aut, cre], Marie-Pierre Etienne [aut], Emilie Lebarbier [aut], Simon Benhamou [aut]
Maintainer: Remi Patin <remi.patin@normale.fr>

Diff between segclust2d versions 0.3.1 dated 2023-08-21 and 0.3.3 dated 2024-04-24

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New package prediction with initial version 0.3.17
Package: prediction
Title: Tidy, Type-Safe 'prediction()' Methods
Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The 'summary()' method provides a data frame with average predictions, possibly over counterfactual versions of the data (a la the 'margins' command in 'Stata'). Marginal effect estimation is provided by the related package, 'margins' <https://cran.r-project.org/package=margins>. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
License: MIT + file LICENSE
Version: 0.3.17
Date: 2024-04-23
URL: https://github.com/leeper/prediction
BugReports: https://github.com/leeper/prediction/issues
Depends: R (>= 3.5.0)
Imports: utils, stats, data.table
Suggests: datasets, methods, testthat
Enhances: AER, aod, betareg, biglm, brglm, caret, crch, e1071, earth, ff, gam (>= 1.15), gee, glmnet, glmx, kernlab, lme4, MASS, mclogit, mda, mlogit, MNP, nlme, nnet, ordinal, plm, pscl, quantreg, rpart, sampleSelection, speedglm, survey (>= 3.31-5), survival, truncreg, VGAM
ByteCompile: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-24 01:35:49 UTC; centa
Author: Thomas J. Leeper [aut, cre] , Carl Ganz [ctb], Vincent Arel-Bundock [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-24 07:40:10 UTC

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Package filibustr (with last version 0.2.0) was removed from CRAN

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

2024-03-01 0.2.0
2024-02-13 0.1.1

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Package eummd (with last version 0.1.4) was removed from CRAN

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

2023-10-02 0.1.4
2023-08-18 0.1.1
2023-07-08 0.0.7

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Package survival updated to version 3.6-4 with previous version 3.5-8 dated 2024-02-14

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] , Atkinson Elizabeth [ctb], Crowson Cynthia [ctb]
Maintainer: Terry M Therneau <therneau.terry@mayo.edu>

Diff between survival versions 3.5-8 dated 2024-02-14 and 3.6-4 dated 2024-04-24

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Tue, 23 Apr 2024

Package packageRank updated to version 0.9.0 with previous version 0.8.3 dated 2023-11-09

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from Posit/RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package nhanesA updated to version 1.1 with previous version 1.0 dated 2024-01-09

Title: NHANES Data Retrieval
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/index.htm>.
Author: Christopher Endres [aut, cre], Laha Ale [aut] , Robert Gentleman [aut], Deepayan Sarkar [aut]
Maintainer: Christopher Endres <cjendres1@gmail.com>

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Package moderate.mediation updated to version 0.0.9 with previous version 0.0.8 dated 2024-02-29

Title: Causal Moderated Mediation Analysis
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2023) <doi:10.3758/s13428-023-02095-4>. Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Maintainer: Xu Qin <xuqin@pitt.edu>

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Package AgroR updated to version 1.3.6 with previous version 1.3.5 dated 2023-09-13

Title: Experimental Statistics and Graphics for Agricultural Sciences
Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootech [...truncated...]
Author: Gabriel Danilo Shimizu [aut, cre] , Rodrigo Yudi Palhaci Marubayashi [aut, ctb] , Leandro Simoes Azeredo Goncalves [aut, ctb]
Maintainer: Gabriel Danilo Shimizu <gabrield.shimizu@gmail.com>

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Package pedbp updated to version 2.0.0 with previous version 1.0.2 dated 2022-11-23

Title: Pediatric Blood Pressure
Description: Data and utilities for estimating pediatric blood pressure percentiles by sex, age, and optionally height (stature) as described in Martin et.al. (2022) <doi:10.1001/jamanetworkopen.2022.36918>. Blood pressure percentiles for children under one year of age come from Gemelli et.al. (1990) <doi:10.1007/BF02171556>. Estimates of blood pressure percentiles for children at least one year of age are informed by data from the National Heart, Lung, and Blood Institute (NHLBI) and the Centers for Disease Control and Prevention (CDC) <doi:10.1542/peds.2009-2107C> or from Lo et.al. (2013) <doi:10.1542/peds.2012-1292>. The flowchart for selecting the informing data source comes from Martin et.al. (2022) <doi:10.1542/hpeds.2021-005998>.
Author: Peter DeWitt [aut, cre] , Blake Martin [ctb] , David Albers [ctb] , Tell Bennett [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package SimInf updated to version 9.7.0 with previous version 9.6.0 dated 2023-12-20

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>. The package also provides function [...truncated...]
Author: Stefan Widgren [aut, cre] , Robin Eriksson [aut] , Stefan Engblom [aut] , Pavol Bauer [aut] , Thomas Rosendal [ctb] , Ivana Rodriguez Ewerloef [ctb] , Attractive Chaos [cph]
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Package rphylopic updated to version 1.4.0 with previous version 1.3.0 dated 2023-12-20

Title: Get Silhouettes of Organisms from PhyloPic
Description: Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) to fetch silhouette images of organisms. Includes functions for adding silhouettes to both base R plots and ggplot2 plots.
Author: William Gearty [aut, cre] , Lewis A. Jones [aut] , Scott Chamberlain [aut] , David Miller [ctb]
Maintainer: William Gearty <willgearty@gmail.com>

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Package pomdp updated to version 1.2.2 with previous version 1.2.1 dated 2024-04-09

Title: Infrastructure for Partially Observable Markov Decision Processes (POMDP)
Description: Provides the infrastructure to define and analyze the solutions of Partially Observable Markov Decision Process (POMDP) models. Interfaces for various exact and approximate solution algorithms are available including value iteration, point-based value iteration and SARSOP. Smallwood and Sondik (1973) <doi:10.1287/opre.21.5.1071>.
Author: Michael Hahsler [aut, cph, cre] , Hossein Kamalzadeh [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package mlr3pipelines updated to version 0.5.2 with previous version 0.5.1 dated 2024-03-26

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [ctb] , Susanne Dandl [aut]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package flightsbr updated to version 0.4.1 with previous version 0.4.0 dated 2023-12-04

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 0.4.0 dated 2023-12-04 and 0.4.1 dated 2024-04-23

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Package collpcm updated to version 1.4 with previous version 1.3 dated 2024-01-09

Title: Collapsed Latent Position Cluster Model for Social Networks
Description: Markov chain Monte Carlo based inference routines for collapsed latent position cluster models or social networks, which includes searches over the model space (number of clusters in the latent position cluster model). The label switching algorithm used is that of Nobile and Fearnside (2007) <doi:10.1007/s11222-006-9014-7> which relies on the algorithm of Carpaneto and Toth (1980) <doi:10.1145/355873.355883>.
Author: Jason Wyse [aut, cre], Caitriona Ryan [aut], Nial Friel [ths]
Maintainer: Jason Wyse <wyseja@tcd.ie>

Diff between collpcm versions 1.3 dated 2024-01-09 and 1.4 dated 2024-04-23

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Package clinUtils updated to version 0.1.5 with previous version 0.1.4 dated 2023-01-06

Title: General Utility Functions for Analysis of Clinical Data
Description: Utility functions to facilitate the import, the reporting and analysis of clinical data. Example datasets in 'SDTM' and 'ADaM' format, containing a subset of patients/domains from the 'CDISC Pilot 01 study' are also available as R datasets to demonstrate the package functionalities.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Arne De Roeck [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package Amelia updated to version 1.8.2 with previous version 1.8.1 dated 2022-11-19

Title: A Program for Missing Data
Description: A tool that "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The p [...truncated...]
Author: James Honaker [aut], Gary King [aut], Matthew Blackwell [aut, cre]
Maintainer: Matthew Blackwell <mblackwell@gov.harvard.edu>

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Package rapiclient updated to version 0.1.4 with previous version 0.1.3 dated 2020-01-17

Title: Dynamic OpenAPI/Swagger Client
Description: Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
Author: Darko Bergant [aut, cre], Marcel Ramos [ctb], Sean Davis [ctb], Martin Morgan [ctb]
Maintainer: Darko Bergant <darko.bergant@gmail.com>

Diff between rapiclient versions 0.1.3 dated 2020-01-17 and 0.1.4 dated 2024-04-23

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Package ips updated to version 0.0.12 with previous version 0.0.11 dated 2019-07-04

Title: Interfaces to Phylogenetic Software in R
Description: Functions that wrap popular phylogenetic software for sequence alignment, masking of sequence alignments, and estimation of phylogenies and ancestral character states.
Author: Christoph Heibl [aut, cre], Natalie Cusimano [aut], Franz-Sebastian Krah [aut]
Maintainer: Christoph Heibl <christoph.heibl@gmx.net>

Diff between ips versions 0.0.11 dated 2019-07-04 and 0.0.12 dated 2024-04-23

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Package RTMB updated to version 1.5 with previous version 1.4 dated 2023-12-01

Title: 'R' Bindings for 'TMB'
Description: Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between RTMB versions 1.4 dated 2023-12-01 and 1.5 dated 2024-04-23

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Package L1pack updated to version 0.41-245 with previous version 0.41-24 dated 2023-05-18

Title: Routines for L1 Estimation
Description: L1 estimation for linear regression using Barrodale and Roberts' method <doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>. Estimation of mean and covariance matrix using the multivariate Laplace distribution, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>.
Author: Felipe Osorio [aut, cre] , Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

Diff between L1pack versions 0.41-24 dated 2023-05-18 and 0.41-245 dated 2024-04-23

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Package emayili updated to version 0.8.0 with previous version 0.7.18 dated 2023-08-30

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre, cph], Matt Dennis [ctb], Antoine Bichat [ctb] , Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb], Swechhya Bista [ctb], Colin Fay [ctb]
Maintainer: Andrew B. Collier <andrew.b.collier@gmail.com>

Diff between emayili versions 0.7.18 dated 2023-08-30 and 0.8.0 dated 2024-04-23

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Package randtests updated to version 1.0.2 with previous version 1.0.1 dated 2022-06-20

Title: Testing Randomness in R
Description: Provides several non parametric randomness tests for numeric sequences.
Author: Frederico Caeiro [aut, cre] , Ayana Mateus [aut]
Maintainer: Frederico Caeiro <fac@fct.unl.pt>

Diff between randtests versions 1.0.1 dated 2022-06-20 and 1.0.2 dated 2024-04-23

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Package madshapR updated to version 1.1.0 with previous version 1.0.3 dated 2023-12-19

Title: Support Technical Processes Following 'Maelstrom Research' Standards
Description: Functions to support rigorous processes in data cleaning, evaluation, and documentation across datasets from different studies based on Maelstrom Research guidelines. The package includes the core functions to evaluate and format the main inputs that define the process, diagnose errors, and summarize and evaluate datasets and their associated data dictionaries. The main outputs are clean datasets and associated metadata, and tabular and visual summary reports. As described in Maelstrom Research guidelines for rigorous retrospective data harmonization (Fortier I and al. (2017) <doi:10.1093/ije/dyw075>).
Author: Guillaume Fabre [aut, cre] , Maelstrom-research group [cph, fnd]
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>

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Package CptNonPar updated to version 0.2.1 with previous version 0.1.1 dated 2023-06-13

Title: Nonparametric Change Point Detection for Multivariate Time Series
Description: Implements the nonparametric moving sum procedure for detecting changes in the joint characteristic function (NP-MOJO) for multiple change point detection in multivariate time series. See McGonigle, E. T., Cho, H. (2023) <doi:10.48550/arXiv.2305.07581> for description of the NP-MOJO methodology.
Author: Euan T. McGonigle [aut, cre], Haeran Cho [aut]
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>

Diff between CptNonPar versions 0.1.1 dated 2023-06-13 and 0.2.1 dated 2024-04-23

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Package WordListsAnalytics updated to version 0.2.1 with previous version 0.2.0 dated 2024-04-18

Title: Multiple Data Analysis Tools for Property Listing Tasks
Description: Application to estimate statistical values using properties provided by a group of individuals to describe concepts using 'shiny'. It estimates the underlying distribution to generate new descriptive words Canessa et al. (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and uses simulations to estimate the probability that two persons describe the same words based on their descriptions Canessa et al. (2022) <doi:10.3758/s13428-022-02030-z>.
Author: Sebastian Moreno [aut, cre], Cristobal Heredia [aut], Enrique Canessa [ths], Sergio Chaigneau [ths]
Maintainer: Sebastian Moreno <sebastian.moreno.araya@gmail.com>

Diff between WordListsAnalytics versions 0.2.0 dated 2024-04-18 and 0.2.1 dated 2024-04-23

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Package labelled updated to version 2.13.0 with previous version 2.12.0 dated 2023-06-21

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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More information about labelled at CRAN
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Package grattanInflators updated to version 0.5.3 with previous version 0.5.1 dated 2024-03-26

Title: Inflators for Australian Policy Analysis
Description: Using Australian Bureau of Statistics indices, provides functions that convert historical, nominal statistics to real, contemporary values without worrying about date input quality, performance, or the ABS catalogue.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattanInflators versions 0.5.1 dated 2024-03-26 and 0.5.3 dated 2024-04-23

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Package DIDmultiplegtDYN updated to version 1.0.8 with previous version 1.0.5 dated 2024-03-01

Title: Estimation in Difference-in-Difference Designs with Multiple Groups and Periods
Description: Estimation of event-study Difference-in-Difference (DID) estimators in designs with multiple groups and periods, and with a potentially non-binary treatment that may increase or decrease multiple times.
Author: Diego Ciccia [aut, cre], Felix Knau [aut], Melitine Malezieux [aut], Doulo Sow [aut], Clement de Chaisemartin [aut]
Maintainer: Diego Ciccia <diego.ciccia@sciencespo.fr>

Diff between DIDmultiplegtDYN versions 1.0.5 dated 2024-03-01 and 1.0.8 dated 2024-04-23

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Package vdg updated to version 1.2.3 with previous version 1.2.2 dated 2022-07-07

Title: Variance Dispersion Graphs and Fraction of Design Space Plots
Description: Facilities for constructing variance dispersion graphs, fraction- of-design-space plots and similar graphics for exploring the properties of experimental designs. The design region is explored via random sampling, which allows for more flexibility than traditional variance dispersion graphs. A formula interface is leveraged to provide access to complex model formulae. Graphics can be constructed simultaneously for multiple experimental designs and/or multiple model formulae. Instead of using pointwise optimization to find the minimum and maximum scaled prediction variance curves, which can be inaccurate and time consuming, this package uses quantile regression as an alternative.
Author: Pieter Schoonees [aut, cre, cph], Niel le Roux [ctb]
Maintainer: Pieter Schoonees <schoonees@gmail.com>

Diff between vdg versions 1.2.2 dated 2022-07-07 and 1.2.3 dated 2024-04-23

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New package textrar with initial version 0.8.0
Package: textrar
Title: Interface to 'TexTra' from R
Version: 0.8.0
Description: A wrapper for the 'TexTra' API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>, a web service for translating texts between different languages. 'TexTra' API account is required to use the service.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/matutosi/textrar
Imports: jsonlite, httr
Suggests: knitr, rmarkdown, spelling
Language: en-US
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-04-23 05:25:07 UTC; matutosi
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 11:50:03 UTC

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New package pargasite with initial version 2.1.0
Package: pargasite
Title: Pollution-Associated Risk Geospatial Analysis Site
Version: 2.1.0
Description: Offers tools to estimate and visualize levels of major pollutants (CO, NO2, SO2, Ozone, PM2.5 and PM10) across the conterminous United States for user-defined time ranges. Provides functions to retrieve pollutant data from the U.S. Environmental Protection Agency’s 'Air Quality System' (AQS) API service <https://aqs.epa.gov/aqsweb/documents/data_api.html> for interactive visualization through a 'shiny' application, allowing users to explore pollutant levels for a given location over time relative to the National Ambient Air Quality Standards (NAAQS).
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: cli, gstat, leaflet, leafsync, methods, raqs, rlang, sf (>= 1.0-15), shiny, shinycssloaders, stars (>= 0.6-5), stats, utils
Depends: R (>= 4.1.0)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-22 21:27:39 UTC; jaehyun
Author: Jaehyun Joo [aut, cre], Rebecca Greenblatt [aut], Avantika Diwadkar [aut], Nisha Narayanan [aut], Blanca Himes [aut]
Maintainer: Jaehyun Joo <jaehyunjoo@outlook.com>
Repository: CRAN
Date/Publication: 2024-04-23 11:20:02 UTC

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New package Eunomia with initial version 2.0.0
Package: Eunomia
Title: Standard Dataset Manager for Observational Medical Outcomes Partnership Common Data Model Sample Datasets
Version: 2.0.0
Date: 2024-04-22
Maintainer: Frank DeFalco <fdefalco@ohdsi.org>
Description: Facilitates access to sample datasets from the 'EunomiaDatasets' repository (<https://github.com/ohdsi/EunomiaDatasets>).
License: Apache License 2.0
URL: https://github.com/OHDSI/Eunomia
BugReports: https://github.com/OHDSI/Eunomia/issues
Imports: readr, rlang, RSQLite, DBI, arrow, CommonDataModel
Suggests: testthat, withr, duckdb, DatabaseConnector
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-22 21:30:32 UTC; fjd
Author: Frank DeFalco [aut, cre], Martijn Schuemie [aut], Anthony Sena [aut], Natthawut Adulyanukosol [aut], Star Liu [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2024-04-23 11:30:05 UTC

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New package BayesSurvive with initial version 0.0.1
Package: BayesSurvive
Title: Bayesian Survival Models for High-Dimensional Data
Version: 0.0.1
Date: 2024-04-22
Description: An implementation of Bayesian survival models with graph-structured selection priors for sparse identification of omics features predictive of survival (Madjar et al., 2021 <doi:10.1186/s12859-021-04483-z>) and its extension to use a fixed graph via a Markov Random Field (MRF) prior for capturing known structure of omics features, e.g. disease-specific pathways from the Kyoto Encyclopedia of Genes and Genomes database.
URL: https://github.com/ocbe-uio/BayesSurvive
BugReports: https://github.com/ocbe-uio/BayesSurvive/issues
License: GPL-3
Depends: R (>= 4.0)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.000)
Imports: Rcpp, ggplot2, GGally, mvtnorm, survival, riskRegression, utils, stats
Suggests: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-22 20:20:09 UTC; zhiz
Author: Zhi Zhao [aut, cre], Katrin Madjar [aut], Tobias Oestmo Hermansen [aut], Manuela Zucknick [ctb], Joerg Rahnenfuehrer [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Repository: CRAN
Date/Publication: 2024-04-23 11:20:06 UTC

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New package bayesMeanScale with initial version 0.1.0
Package: bayesMeanScale
Title: Bayesian Post-Estimation on the Mean Scale
Version: 0.1.0
URL: https://github.com/dalenbe2/bayesMeanScale
BugReports: https://github.com/dalenbe2/bayesMeanScale/issues
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
License: GPL (>= 3)
Encoding: UTF-8
Imports: bayestestR, data.table, magrittr
Depends: R (>= 3.5.0)
Suggests: flextable, knitr, rmarkdown, rstanarm, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-23 00:00:35 UTC; daviddalenberg
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 11:30:02 UTC

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New package relMix with initial version 1.4
Package: relMix
Title: Relationship Inference for DNA Mixtures
Version: 1.4
Date: 2024-04-12
Description: Analysis of DNA mixtures involving relatives by computation of likelihood ratios that account for dropout and drop-in, mutations, silent alleles and population substructure. This is useful in kinship cases, like non-invasive prenatal paternity testing, where deductions about individuals' relationships rely on DNA mixtures, and in criminal cases where the contributors to a mixed DNA stain may be related. Relationships are represented by pedigrees and can include kinship between more than two individuals. The main function is relMix() and its graphical user interface relMixGUI(). The implementation and method is described in Dorum et al. (2017) <doi:doi.org/10.1007/s00414-016-1526-x>, Hernandis et al. (2019) <doi:doi.org/10.1016/j.fsigss.2019.09.085> and Kaur et al. (2016) <doi:doi.org/10.1007/s00414-015-1276-1>.
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Familias (>= 2.6.1), gWidgets2, gWidgets2tcltk, flextable, officer, pedFamilias, pedtools
Suggests: knitr, pander, rmarkdown, tkrplot
License: GPL (>= 2)
URL: https://gdorum.github.io/relMix/
NeedsCompilation: no
Packaged: 2024-04-22 08:57:01 UTC; dogu
Author: Guro Dorum [aut, cre], Elias Hernandis [aut], Navreet Kaur [ctb], Thore Egeland [ctb]
Maintainer: Guro Dorum <guro.dorum@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 10:50:02 UTC

More information about relMix at CRAN
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Package FjordLight updated to version 0.8 with previous version 0.7.0 dated 2023-12-02

Title: Available Light Within the Water Column and Seafloor of Arctic Fjords
Description: Satellite data collected between 2003 and 2022, in conjunction with gridded bathymetric data (50-150 m resolution), are used to estimate the irradiance reaching the bottom of a series of representative EU Arctic fjords. An Earth System Science Data (ESSD) manuscript, Schlegel et al. (2023, in review), that provides a detailed explanation of the methodology is currently in review.
Author: Bernard Gentili [aut], Jean-Pierre Gattuso [aut] , Robert W. Schlegel [aut, cre]
Maintainer: Robert W. Schlegel <robert.schlegel@imev-mer.fr>

Diff between FjordLight versions 0.7.0 dated 2023-12-02 and 0.8 dated 2024-04-23

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Package SIAmodules updated to version 0.1.1 with previous version 0.1.0 dated 2023-03-29

Title: Modules for 'ShinyItemAnalysis'
Description: Package including additional modules for interactive 'ShinyItemAnalysis' application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
Author: Patricia Martinkova [aut, cre] , Jan Netik [aut]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>

Diff between SIAmodules versions 0.1.0 dated 2023-03-29 and 0.1.1 dated 2024-04-23

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New package bbk with initial version 0.1.0
Package: bbk
Title: Client for the Bundesbank API
Version: 0.1.0
Description: Download data and metadata from the 'Bundesbank SDMX Web Service API' found at <https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/bbk/, https://github.com/m-muecke/bbk
BugReports: https://github.com/m-muecke/bbk/issues
Depends: R (>= 4.1.0)
Imports: httr2, utils, xml2
Suggests: ggplot2, scales, testthat (>= 3.0.0), tibble
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-22 20:05:45 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-23 09:30:02 UTC

More information about bbk at CRAN
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Package scGate updated to version 1.6.2 with previous version 1.6.0 dated 2023-11-06

Title: Marker-Based Cell Type Purification for Single-Cell Sequencing Data
Description: A common bioinformatics task in single-cell data analysis is to purify a cell type or cell population of interest from heterogeneous datasets. 'scGate' automatizes marker-based purification of specific cell populations, without requiring training data or reference gene expression profiles. Briefly, 'scGate' takes as input: i) a gene expression matrix stored in a 'Seurat' object and ii) a “gating model” (GM), consisting of a set of marker genes that define the cell population of interest. The GM can be as simple as a single marker gene, or a combination of positive and negative markers. More complex GMs can be constructed in a hierarchical fashion, akin to gating strategies employed in flow cytometry. 'scGate' evaluates the strength of signature marker expression in each cell using the rank-based method 'UCell', and then performs k-nearest neighbor (kNN) smoothing by calculating the mean 'UCell' score across neighboring cells. kNN-smoothing aims at compensating for the large degree of s [...truncated...]
Author: Massimo Andreatta [aut, cre] , Ariel Berenstein [aut] , Josep Garnica [aut], Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unil.ch>

Diff between scGate versions 1.6.0 dated 2023-11-06 and 1.6.2 dated 2024-04-23

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New package RobRegression with initial version 0.1.0
Package: RobRegression
Title: Robust Multivariate Regression
Version: 0.1.0
Description: Robust methods for estimating the parameters of multivariate Gaussian linear models.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp, foreach, doParallel, mvtnorm,parallel,RSpectra , capushe, KneeArrower, fastmatrix, DescTools
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-04-22 17:56:54 UTC; pug56
Author: Antoine Godichon-Baggioni [aut, cre, cph], Stephane Robin [aut], Laure Sansonnet [aut]
Maintainer: Antoine Godichon-Baggioni <antoine.godichon_baggioni@upmc.fr>
Repository: CRAN
Date/Publication: 2024-04-23 09:00:02 UTC

More information about RobRegression at CRAN
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Package qspray updated to version 3.0.0 with previous version 2.1.1 dated 2023-09-07

Title: Multivariate Polynomials with Rational Coefficients
Description: Symbolic calculation and evaluation of multivariate polynomials with rational coefficients. This package is strongly inspired by the 'spray' package. It provides a function to compute Gröbner bases (reference <doi:10.1007/978-3-319-16721-3>). The header file of the C++ code can be used by other packages. It provides the templated class 'Qspray' that can be used to represent and to deal with multivariate polynomials with another type of coefficients.
Author: Stephane Laurent [aut, cre], Robin Hankin [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between qspray versions 2.1.1 dated 2023-09-07 and 3.0.0 dated 2024-04-23

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New package PCBS with initial version 0.1.0
Package: PCBS
Title: Principle Component BiSulfite
Version: 0.1.0
Description: A system for fast, accurate, and flexible whole genome bisulfite sequencing (WGBS) data analysis of two-condition comparisons. Principle Component BiSulfite, 'PCBS', assigns methylated loci eigenvector values from the treatment-delineating principal component in lieu of running millions of pairwise statistical tests, which dramatically increases analysis flexibility and reduces computational requirements. Methods: <https://katlande.github.io/PCBS/articles/Differential_Methylation.html>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
URL: https://github.com/katlande/PCBS
BugReports: https://github.com/katlande/PCBS/issues
Imports: ggplot2, tibble, ggrepel, dplyr, data.table
NeedsCompilation: no
Packaged: 2024-04-22 17:45:12 UTC; kathrynlande
Author: Kathryn Lande [aut, cre, cph]
Maintainer: Kathryn Lande <kathryn.lande@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2024-04-23 09:00:05 UTC

More information about PCBS at CRAN
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Package NMdata updated to version 0.1.6 with previous version 0.1.5 dated 2024-02-21

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Attention is paid to ensure consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre], Eric Anderson [ctb]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMdata versions 0.1.5 dated 2024-02-21 and 0.1.6 dated 2024-04-23

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New package GregoryQuadrature with initial version 1.0.0
Package: GregoryQuadrature
Title: Gregory Weights for Function Integration
Version: 1.0.0
Description: Computes Gregory weights for a given number nodes and function order. Anthony Ralston and Philip Rabinowitz (2001) <ISBN:9780486414546>.
License: GPL-3
Encoding: UTF-8
Imports: pracma
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/dhetting/GregoryQuadrature
BugReports: https://github.com/dhetting/GregoryQuadrature/issues
NeedsCompilation: no
Packaged: 2024-04-22 15:59:46 UTC; dhetting
Author: Dylan Hettinger [aut, cre, cph] , Bengt Fornberg [aut]
Maintainer: Dylan Hettinger <dhettinger@mines.edu>
Repository: CRAN
Date/Publication: 2024-04-23 08:40:02 UTC

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Package evd updated to version 2.3-7 with previous version 2.3-6.1 dated 2022-07-04

Title: Functions for Extreme Value Distributions
Description: Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.
Author: Alec Stephenson. Function fbvpot by Chris Ferro.
Maintainer: Alec Stephenson <alec_stephenson@hotmail.com>

Diff between evd versions 2.3-6.1 dated 2022-07-04 and 2.3-7 dated 2024-04-23

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Package syt updated to version 0.4.0 with previous version 0.3.0 dated 2023-12-06

Title: Young Tableaux
Description: Deals with Young tableaux (field of combinatorics). For standard Young tabeaux, performs enumeration, counting, random generation, the Robinson-Schensted correspondence, and conversion to and from paths on the Young lattice. Also performs enumeration and counting of semistandard Young tableaux, enumeration of skew semistandard Young tableaux, and computation of Kostka numbers.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between syt versions 0.3.0 dated 2023-12-06 and 0.4.0 dated 2024-04-23

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More information about syt at CRAN
Permanent link

Package shinyDatetimePickers updated to version 1.2.0 with previous version 1.1.0 dated 2023-08-07

Title: Some Datetime Pickers for 'Shiny'
Description: Provides three types of datetime pickers for usage in a 'Shiny' UI. A datetime picker is an input field for selecting both a date and a time.
Author: Stephane Laurent [aut, cre], Wojciech Maj [cph] ), Porinn [cph] ), Dmitriy Kovalenko [cph] )
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between shinyDatetimePickers versions 1.1.0 dated 2023-08-07 and 1.2.0 dated 2024-04-23

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Permanent link

Package MAGEE updated to version 1.4.0 with previous version 1.3.2 dated 2023-11-17

Title: Mixed Model Association Test for GEne-Environment Interaction
Description: Use a 'glmmkin' class object (GMMAT package) from the null model to perform generalized linear mixed model-based single-variant and variant set main effect tests, gene-environment interaction tests, and joint tests for association, as proposed in Wang et al. (2020) <DOI:10.1002/gepi.22351>.
Author: Xinyu Wang [aut], Han Chen [aut, cre], Duy Pham [aut], Kenneth Westerman [ctb], Cong Pan [aut], Eric Biggers [ctb, cph] , Tino Reichardt [ctb, cph] library), Meta Platforms, Inc. and affiliates [cph] library)
Maintainer: Han Chen <han.chen.2@uth.tmc.edu>

Diff between MAGEE versions 1.3.2 dated 2023-11-17 and 1.4.0 dated 2024-04-23

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Package kantorovich updated to version 3.2.0 with previous version 3.1.0 dated 2023-08-22

Title: Kantorovich Distance Between Probability Measures
Description: Computes the Kantorovich distance between two probability measures on a finite set. The Kantorovich distance is also known as the Monge-Kantorovich distance or the first Wasserstein distance.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between kantorovich versions 3.1.0 dated 2023-08-22 and 3.2.0 dated 2024-04-23

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Permanent link

Package greeks updated to version 1.4.2 with previous version 1.3.5 dated 2024-03-03

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 1.3.5 dated 2024-03-03 and 1.4.2 dated 2024-04-23

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 README.md                                              |    2 
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More information about greeks at CRAN
Permanent link

Package ggplot2 updated to version 3.5.1 with previous version 3.5.0 dated 2024-02-23

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Permanent link

Package inTrees updated to version 1.4 with previous version 1.3 dated 2022-05-31

Title: Interpret Tree Ensembles
Description: For tree ensembles such as random forests, regularized random forests and gradient boosted trees, this package provides functions for: extracting, measuring and pruning rules; selecting a compact rule set; summarizing rules into a learner; calculating frequent variable interactions; formatting rules in latex code. Reference: Interpreting tree ensembles with inTrees (Houtao Deng, 2019, <doi:10.1007/s41060-018-0144-8>).
Author: Houtao Deng [aut, cre], Xin Guan [aut], Vadim Khotilovich [aut]
Maintainer: Houtao Deng <softwaredeng@gmail.com>

Diff between inTrees versions 1.3 dated 2022-05-31 and 1.4 dated 2024-04-23

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Permanent link

Package CCAMLRGIS updated to version 4.0.8 with previous version 4.0.7 dated 2024-02-05

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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More information about CCAMLRGIS at CRAN
Permanent link

Package estimators (with last version 0.7.3) was removed from CRAN

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

2024-01-08 0.7.3

Permanent link

Mon, 22 Apr 2024

Package VisualizeSimon2Stage updated to version 0.1.4 with previous version 0.1.3 dated 2024-03-20

Title: Visualize Simon's Two-Stage Design
Description: To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between VisualizeSimon2Stage versions 0.1.3 dated 2024-03-20 and 0.1.4 dated 2024-04-22

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Package soilDB updated to version 2.8.2 with previous version 2.8.1 dated 2024-01-09

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.8.1 dated 2024-01-09 and 2.8.2 dated 2024-04-22

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Package wconf updated to version 1.1.0 with previous version 1.0.0 dated 2023-12-12

Title: Weighted Confusion Matrix
Description: Allows users to create weighted confusion matrices and accuracy metrics that help with the model selection process for classification problems, where distance from the correct category is important. The package includes several weighting schemes which can be parameterized, as well as custom configuration options. Furthermore, users can decide whether they wish to positively or negatively affect the accuracy score as a result of applying weights to the confusion matrix. Functions are included to calculate accuracy metrics for imbalanced data. Finally, 'wconf' integrates well with the 'caret' package, but it can also work standalone when provided data in matrix form. References: Kuhn, M. (2008) "Building Perspective Models in R Using the caret Package" <doi:10.18637/jss.v028.i05> Monahov, A. (2021) "Model Evaluation with Weighted Threshold Optimization (and the mewto R package)" <doi:10.2139/ssrn.3805911> Starovoitov, V., Golub, Y. (2020). New Function for Estimating Imbalanc [...truncated...]
Author: Alexandru Monahov [aut, cre, cph]
Maintainer: Alexandru Monahov <alexandru.monahov@proton.me>

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Package tidyterra updated to version 0.6.0 with previous version 0.5.2 dated 2024-01-19

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package text updated to version 1.2.1 with previous version 1.2.0 dated 2024-02-13

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package SpaTopic updated to version 1.1.0 with previous version 1.0.1 dated 2024-01-17

Title: Topic Inference to Identify Tissue Architecture in Multiplexed Images
Description: A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>.
Author: Xiyu Peng [aut, cre]
Maintainer: Xiyu Peng <pansypeng124@gmail.com>

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Package SNSequate updated to version 1.3-5 with previous version 1.3-4 dated 2022-12-20

Title: Standard and Nonstandard Statistical Models and Methods for Test Equating
Description: Contains functions to perform various models and methods for test equating (Kolen and Brennan, 2014 <doi:10.1007/978-1-4939-0317-7> ; Gonzalez and Wiberg, 2017 <doi:10.1007/978-3-319-51824-4> ; von Davier et. al, 2004 <doi:10.1007/b97446>). It currently implements the traditional mean, linear and equipercentile equating methods. Both IRT observed-score and true-score equating are also supported, as well as the mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods. It also supports newest methods such that local equating, kernel equating (using Gaussian, logistic, Epanechnikov, uniform and adaptive kernels) with presmoothing, and IRT parameter linking methods based on asymmetric item characteristic functions. Functions to obtain both standard error of equating (SEE) and standard error of equating differences between two equating functions (SEED) are also implemented for the kernel method of equating.
Author: Jorge Gonzalez [cre, aut], Daniel Leon Acuna [ctb]
Maintainer: Jorge Gonzalez <jorge.gonzalez@mat.uc.cl>

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Package shinylight updated to version 1.2 with previous version 1.1.2 dated 2022-11-30

Title: Web Interface to 'R' Functions
Description: Web front end for your 'R' functions producing plots or tables. If you have a function or set of related functions, you can make them available over the internet through a web browser. This is the same motivation as the 'shiny' package, but note that the development of 'shinylight' is not in any way linked to that of 'shiny' (beyond the use of the 'httpuv' package). You might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment with easier horizontal scaling, or if you want to develop your front end yourself in JavaScript and HTML just using a lightweight remote procedure call interface to your R code on the server.
Author: Pieter Vermeesch [aut], Tim Band [aut, cre]
Maintainer: Tim Band <t.band@ucl.ac.uk>

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Package ruijter updated to version 0.1.3 with previous version 0.1.2 dated 2023-02-08

Title: Technical Data Sets by Ruijter et al. (2013)
Description: The real-time quantitative polymerase chain reaction (qPCR) technical data sets by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>: (i) the four-point 10-fold dilution series; (ii) 380 replicates; and (iii) the competimer data set. These three data sets can be used to benchmark qPCR methods. Original data set is available at <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This package fixes incorrect annotations in the original data sets.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package vermeulen updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-10

Title: Biomarker Data Set by Vermeulen et al. (2009)
Description: The biomarker data set by Vermeulen et al. (2009) <doi:10.1016/S1470-2045(09)70154-8> is provided. The data source, however, is by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>. The original data set may be downloaded from <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This data set is for a real-time quantitative polymerase chain reaction (PCR) experiment that comprises the raw fluorescence data of 24,576 amplification curves. This data set comprises 59 genes of interest and 5 reference genes. Each gene was assessed on 366 neuroblastoma complementary DNA (cDNA) samples and on 18 standard dilution series samples (10-fold 5-point dilution series x 3 replicates + no template controls (NTC) x 3 replicates).
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package rutledge updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-27

Title: Real-Time PCR Data Sets by Rutledge et al. (2004)
Description: Real-time quantitative polymerase chain reaction (qPCR) data by Rutledge et al. (2004) <doi:10.1093/nar/gnh177> in tidy format. The data comprises a six-point, ten-fold dilution series, repeated in five independent runs, for two different amplicons. In each run, each standard concentration is replicated four times. For the original raw data file see the Supplementary Data section: <https://academic.oup.com/nar/article/32/22/e178/2375678#supplementary-data>.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package RivRetrieve updated to version 0.1.5 with previous version 0.1.4 dated 2024-03-02

Title: Retrieve Global River Gauge Data
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <ryanriggs7@gmail.com>

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Package reticulate updated to version 1.36.1 with previous version 1.36.0 dated 2024-04-15

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package batsch updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-14

Title: Real-Time PCR Data Sets by Batsch et al. (2008)
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Batsch et al. (2008) <doi:10.1186/1471-2105-9-95>. This package provides five data sets, one for each PCR target: (i) rat SLC6A14, (ii) human SLC22A13, (iii) pig EMT, (iv) chicken ETT, and (v) human GAPDH. Each data set comprises a five-point, four-fold dilution series. For each concentration there are three replicates. Each amplification curve is 45 cycles long. Original raw data file: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package EGAnet updated to version 2.0.6 with previous version 2.0.5 dated 2024-03-15

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package WVPlots updated to version 1.3.8 with previous version 1.3.7 dated 2023-08-19

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package plsVarSel updated to version 0.9.11 with previous version 0.9.10 dated 2023-01-12

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package lares updated to version 5.2.7 with previous version 5.2.5 dated 2024-01-22

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package gtable updated to version 0.3.5 with previous version 0.3.4 dated 2023-08-21

Title: Arrange 'Grobs' in Tables
Description: Tools to make it easier to work with "tables" of 'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a grid along with a list of grobs and their placement in the grid. Further the package makes it easy to manipulate and combine 'gtable' objects so that complex compositions can be built up sequentially.
Author: Hadley Wickham [aut], Thomas Lin Pedersen [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package BayesMallows updated to version 2.2.1 with previous version 2.2.0 dated 2024-04-19

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>; Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>; Sorensen et al., R Journal, 2020 <doi:10.32614/RJ-2020-026>; Stein, PhD Thesis, 2023 <https://eprints.lancs.ac.uk/id/eprint/195759>). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank mo [...truncated...]
Author: Oystein Sorensen [aut, cre] , Waldir Leoncio [aut], Valeria Vitelli [aut] , Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut], Anja Stein [aut]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package antaresRead updated to version 2.6.1 with previous version 2.6.0 dated 2023-08-30

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 2.6.0 dated 2023-08-30 and 2.6.1 dated 2024-04-22

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 antaresRead-2.6.1/antaresRead/tests/testthat/test-readAntares.R     |   10 +
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Package WorldMapR updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-13

Title: Worldwide or Coordinates-Based Heat Maps
Description: Easily plot heat maps of the world, based on continuous or categorical data. Country labels can also be added to the map.
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>

Diff between WorldMapR versions 0.1.0 dated 2024-02-13 and 0.1.1 dated 2024-04-22

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 NEWS.md                   |    7 +++++++
 R/geometries_data.R       |   13 ++++++++++---
 R/worldplot.R             |   12 ++++++++++--
 R/worldplotCat.R          |   27 ++++++++++++++++++++++-----
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 9 files changed, 89 insertions(+), 23 deletions(-)

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Package tidyBdE updated to version 0.3.6 with previous version 0.3.5 dated 2024-01-29

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

Diff between tidyBdE versions 0.3.5 dated 2024-01-29 and 0.3.6 dated 2024-04-22

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Package cheapr updated to version 0.9.0 with previous version 0.8.0 dated 2024-04-12

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between cheapr versions 0.8.0 dated 2024-04-12 and 0.9.0 dated 2024-04-22

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 22 files changed, 302 insertions(+), 239 deletions(-)

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New package Clustering with initial version 1.7.10
Package: Clustering
Title: Techniques for Evaluating Clustering
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.
Version: 1.7.10
Date: 2024-04-20
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
URL: https://github.com/laperez/clustering
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Imports: amap, apcluster, cluster, ClusterR, data.table, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal
Suggests: DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
NeedsCompilation: no
Packaged: 2024-04-22 18:47:54 UTC; luis
Depends: R (>= 3.5.0)
Date/Publication: 2024-04-22 19:10:11 UTC

More information about Clustering at CRAN
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New package basecamb with initial version 1.1.5
Package: basecamb
Title: Utilities for Streamlined Data Import, Imputation and Modelling
Version: 1.1.5
Description: Provides functions streamlining the data analysis workflow: Outsourcing data import, renaming and type casting to a *.csv. Manipulating imputed datasets and fitting models on them. Summarizing models.
Depends: R (>= 4.0.0)
Imports: assertthat, dplyr, mice, Hmisc, survival, stats, purrr, MASS, sae
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), rms
URL: https://CRAN.R-project.org/package=basecamb, https://github.com/codeblue-team/basecamb
BugReports: https://github.com/codeblue-team/basecamb/issues
NeedsCompilation: no
Packaged: 2024-04-21 17:58:45 UTC; Peter
Author: J. Peter Marquardt [aut, cre] , Till D. Best [aut]
Maintainer: J. Peter Marquardt <peter@kmarquardt.de>
Repository: CRAN
Date/Publication: 2024-04-22 19:10:07 UTC

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Package valr updated to version 0.8.1 with previous version 0.8.0 dated 2024-04-04

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut] , Kent Riemondy [aut, cre] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Kent Riemondy <kent.riemondy@cuanschutz.edu>

Diff between valr versions 0.8.0 dated 2024-04-04 and 0.8.1 dated 2024-04-22

 DESCRIPTION        |    7 ++++---
 MD5                |    8 ++++----
 NEWS.md            |    4 ++++
 inst/doc/valr.html |    4 ++--
 tests/testthat.R   |    1 -
 5 files changed, 14 insertions(+), 10 deletions(-)

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New package tidylda with initial version 0.0.5
Package: tidylda
Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Version: 0.0.5
Description: Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.
License: MIT + file LICENSE
URL: https://github.com/TommyJones/tidylda/
BugReports: https://github.com/TommyJones/tidylda/issues
Depends: R (>= 3.5.0)
Imports: dplyr, generics, gtools, Matrix, methods, mvrsquared (>= 0.1.0), Rcpp (>= 1.0.2), rlang, stats, stringr, tibble, tidyr, tidytext
Suggests: ggplot2, knitr, parallel, quanteda, testthat, tm, slam, spelling, covr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppThread
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 21:24:04 UTC; tommy
Author: Tommy Jones [aut, cre] , Brendan Knapp [ctb] , Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:20:02 UTC

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New package slca with initial version 1.0.0
Package: slca
Title: Structural Modeling for Multiple Latent Class Variables
Version: 1.0.0
Maintainer: Youngsun Kim <yskstat@gmail.com>
Description: Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: DiagrammeR, magrittr, MASS, Rcpp, stats
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-04-20 20:00:31 UTC; kim0sun
Author: Youngsun Kim [aut, cre] , Hwan Chung [aut]
Repository: CRAN
Date/Publication: 2024-04-22 18:42:39 UTC

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New package Rtwobitlib with initial version 0.3.5
Package: Rtwobitlib
Title: '2bit' 'C' Library
Description: A trimmed down copy of the "kent-core source tree" turned into a 'C' library for manipulation of '.2bit' files. See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7> for a quick overview of the '2bit' format. The "kent-core source tree" can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>. Only the '.c' and '.h' files from the source tree that are related to manipulation of '.2bit' files were kept. Note that the package is primarily useful to developers of other R packages who wish to use the '2bit' 'C' library in their own 'C'/'C++' code.
URL: https://github.com/hpages/Rtwobitlib
BugReports: https://github.com/hpages/Rtwobitlib/issues
Version: 0.3.5
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tools
Suggests: testthat, knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 06:42:19 UTC; hpages
Author: Herve Pages [aut, cre], UC Regents [cph]
Maintainer: Herve Pages <hpages.on.github@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:32:43 UTC

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New package PanelTM with initial version 1.0
Package: PanelTM
Title: Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection
Version: 1.0
Maintainer: F. Marta L. Di Lascio <marta.dilascio@unibz.it>
Description: Estimation of two- and three-way dynamic panel threshold regression models (Di Lascio and Perazzini (2024) <https://repec.unibz.it/bemps104.pdf>; Di Lascio and Perazzini (2022, ISBN:978-88-9193-231-0); Seo and Shin (2016) <doi:10.1016/j.jeconom.2016.03.005>) through the generalized method of moments based on the first difference transformation and the use of instrumental variables. The models can be used to find a change point detection in the time series. In addition, random number generation is also implemented.
License: GPL (>= 2)
Depends: R (>= 4.3.0), methods, stats, pracma
Imports:
NeedsCompilation: no
Packaged: 2024-04-20 13:37:37 UTC; FDiLascio
Author: Selene Perazzini [aut], F. Marta L. Di Lascio [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 18:42:42 UTC

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New package guescini with initial version 0.1.0
Package: guescini
Title: Real-Time PCR Data Sets by Guescini et al. (2008)
Version: 0.1.0
Description: Real-time quantitative polymerase chain reaction (qPCR) data by Guescini et al. (2008) <doi:10.1186/1471-2105-9-326> in tidy format. This package provides two data sets where the amplification efficiency has been modulated: either by changing the amplification mix concentration, or by increasing the concentration of IgG, a PCR inhibitor. Original raw data files: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM1_ESM.xls> and <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM5_ESM.xls>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/ramiromagno/guescini, https://rmagno.eu/guescini/
BugReports: https://github.com/ramiromagno/guescini/issues
Depends: R (>= 2.10)
Imports: tibble
NeedsCompilation: no
Packaged: 2024-04-21 00:22:31 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-22 18:50:02 UTC

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New package drclust with initial version 0.1
Package: drclust
Title: Simultaneous Clustering and (or) Dimensionality Reduction
Version: 0.1
Date: 2024-04-19
Description: Methods for simultaneous clustering and dimensionality reduction such as: Double k-means, Reduced k-means, Factorial k-means, Clustering with Disjoint PCA but also methods for exclusively dimensionality reduction: Disjoint PCA, Disjoint FA. The statistical methods implemented refer to the following articles: de Soete G., Carroll J. (1994) "K-means clustering in a low-dimensional Euclidean space" <doi:10.1007/978-3-642-51175-2_24> ; Vichi M. (2001) "Double k-means Clustering for Simultaneous Classification of Objects and Variables" <doi:10.1007/978-3-642-59471-7_6> ; Vichi M., Kiers H.A.L. (2001) "Factorial k-means analysis for two-way data" <doi:10.1016/S0167-9473(00)00064-5> ; Vichi M., Saporta G. (2009) "Clustering and disjoint principal component analysis" <doi:10.1016/j.csda.2008.05.028> ; Vichi M. (2017) "Disjoint factor analysis with cross-loadings" <doi:10.1007/s11634-016-0263-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp, RcppArmadillo, fpc, cluster, factoextra, pheatmap
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-04-19 15:48:27 UTC; Ionel
Author: Ionel Prunila [aut, cre], Maurizio Vichi [aut]
Maintainer: Ionel Prunila <ionel.prunila@uniroma1.it>
Repository: CRAN
Date/Publication: 2024-04-22 18:22:47 UTC

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New package donutsk with initial version 0.1.1
Package: donutsk
Title: Construct Advanced Donut Charts
Version: 0.1.1
Description: Build donut/pie charts with 'ggplot2' layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dkibalnikov/donutsk, https://dkibalnikov.github.io/donutsk/
BugReports: https://github.com/dkibalnikov/donutsk/issues
Depends: ggplot2 (>= 3.5.0), R (>= 4.2.0)
Imports: dplyr (>= 1.1.2), glue (>= 1.6.2), rlang (>= 1.1.1)
Suggests: knitr, rmarkdown, scales (>= 1.3.0), stringr (>= 1.5.0), testthat (>= 3.0.0), tidyr (>= 1.3.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-21 10:42:22 UTC; Dmitrii_Kibalnikov
Author: Dmitry Kibalnikov [aut, cre, cph]
Maintainer: Dmitry Kibalnikov <d.kibalnikov@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:50:06 UTC

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New package aifeducation with initial version 0.3.3
Package: aifeducation
Title: Artificial Intelligence for Education
Version: 0.3.3
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'keras', 'tensorflow', and 'pytorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Lee (2013) <https://www.researchgate.net/publication/280581078_Pseudo-Label_The_Simple_and_Efficie [...truncated...]
License: GPL-3
URL: https://fberding.github.io/aifeducation/
BugReports: https://github.com/cran/aifeducation/issues
Depends: R (>= 3.5.0)
Imports: abind, foreach, doParallel, iotarelr(>= 0.1.5), irr, irrCAC, methods, Rcpp (>= 1.0.10), reshape2, reticulate (>= 1.34.0), smotefamily, stringr, rlang, utils
Suggests: text2vec, tidytext, topicmodels, udpipe, quanteda, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, shiny, shinyFiles, shinyWidgets, shinydashboard, shinyjs, fs, readtext, readxl
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-20 19:54:50 UTC; WissMit
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb], Riebenbauer Elisabeth [ctb], Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>
Repository: CRAN
Date/Publication: 2024-04-22 18:22:50 UTC

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Package atime updated to version 2024.4.17 with previous version 2024.4.12 dated 2024-04-13

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.4.12 dated 2024-04-13 and 2024.4.17 dated 2024-04-22

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Package gofastr (with last version 0.3.0) was removed from CRAN

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

2017-12-16 0.3.0
2017-02-19 0.2.1
2017-01-01 0.1.1

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Package xlcharts updated to version 0.0.2 with previous version 0.0.1 dated 2024-04-18

Title: Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
Description: An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.
Author: Felix Luginbuhl [aut, cre, cph] , Eric Gazoni [ctb, cph] ), Charlie Clark [ctb, cph] ), openpyxl authors [ctb, cph] )
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between xlcharts versions 0.0.1 dated 2024-04-18 and 0.0.2 dated 2024-04-22

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New package TreeRingShape with initial version 3.0.3
Package: TreeRingShape
Title: Recording Tree-Ring Shapes of Tree Disks with Manual Digitizing and Interpolating Model
Version: 3.0.3
Maintainer: Megumi ISHIDA <ishidam@sanchikanri.com>
Description: Record all tree-ring Shapefile of tree disk with GIS soft ('Qgis'<https://www.qgis.org/en/site/>) and interpolating model from high resolution tree disk image.
License: GPL (>= 2)
Depends: R (>= 3.6.2)
Imports: methods, sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/ishidamgm/TreeRingShape, https://ishidamgm.github.io/TreeRingShape/, https://www.sanchikanri.com/treering/TreeRingShape.html
BugReports: https://github.com/ishidamgm/TreeRingShape/issues
NeedsCompilation: no
Packaged: 2024-04-19 21:09:17 UTC; i
Author: Megumi ISHIDA [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-22 15:12:37 UTC

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Package rocbc updated to version 3.1.0 with previous version 3.0.0 dated 2024-03-25

Title: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
Description: Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
Author: Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]
Maintainer: Benjamin Brewer <tennisbenj@gmail.com>

Diff between rocbc versions 3.0.0 dated 2024-03-25 and 3.1.0 dated 2024-04-22

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Package nimbleAPT updated to version 1.0.5 with previous version 1.0.4 dated 2021-11-22

Title: Adaptive Parallel Tempering for 'NIMBLE'
Description: Functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted from 'Lacki' & 'Miasojedow' (2016) <DOI:10.1007/s11222-015-9579-0> and 'Miasojedow, Moulines and Vihola' (2013) <DOI:10.1080/10618600.2013.778779>.
Author: David Pleydell [aut, cre, cph] , Daniel Turek [cph] , Perry de Valpine [cph] , Christopher Paciorek [cph] , Nick Michaud [cph]
Maintainer: David Pleydell <david.pleydell@inrae.fr>

Diff between nimbleAPT versions 1.0.4 dated 2021-11-22 and 1.0.5 dated 2024-04-22

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New package ViSe with initial version 0.1.2
Package: ViSe
Title: Visualizing Sensitivity
Version: 0.1.2
Depends: R (>= 3.1.0)
Imports: stats, ggplot2, methods, dplyr, tidyr, scales, cowplot, shiny
Maintainer: Erin M. Buchanan <buchananlab@gmail.com>
Description: Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) <doi:10.1016/j.biopsych.2005.09.014>.
License: LGPL-3
Encoding: UTF-8
URL: http://www.aggieerin.com/ViSe/
Suggests: knitr, rmarkdown, plotly
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-19 13:06:05 UTC; erinbuchanan
Author: Erin M. Buchanan [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 14:32:33 UTC

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New package TrendLSW with initial version 1.0.1
Package: TrendLSW
Title: Wavelet Methods for Analysing Locally Stationary Time Series
Version: 1.0.1
Depends: R (>= 4.1.0)
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>
Description: Fitting models for, and simulation of, trend locally stationary wavelet (TLSW) time series models, which take account of time-varying trend and dependence structure in a univariate time series. The TLSW model, and its estimation, is described in McGonigle, Killick and Nunes (2022a) <doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. New users will likely want to start with the TLSW function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: wavethresh, locits
URL: https://github.com/EuanMcGonigle/TrendLSW
BugReports: https://github.com/EuanMcGonigle/TrendLSW/issues
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2024-04-19 15:27:32 UTC; euanmcgonigle
Author: Euan T. McGonigle [aut, cre], Rebecca Killick [aut], Matthew Nunes [aut]
Repository: CRAN
Date/Publication: 2024-04-22 14:42:38 UTC

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New package sim.BA with initial version 0.1.0
Package: sim.BA
Title: Simulation-Based Bias Analysis for Observational Studies
Version: 0.1.0
Description: Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: chk (>= 0.9.1), cobalt (>= 4.5.3), ggplot2 (>= 3.4.4), scales (>= 1.3.0), pbapply (>= 1.7-2), rlang (>= 1.1.3), stats, survival, utils
Suggests: MatchIt (>= 4.5.5), WeightIt (>= 0.14.2), parallel, openxlsx (>= 4.2.5.2), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-18 14:18:22 UTC; NoahGreifer
Author: Rishi Desai [aut, cre] , Noah Greifer [aut]
Maintainer: Rishi Desai <rdesai@bwh.harvard.edu>
Repository: CRAN
Date/Publication: 2024-04-22 14:42:35 UTC

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Package evreg updated to version 1.0.4 with previous version 1.0.3 dated 2023-11-09

Title: Evidential Regression
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

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Package diseasystore updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-20

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Marcus Munch Gruenewald [ctb] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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New package ConfidenceEllipse with initial version 1.0.0
Package: ConfidenceEllipse
Title: Computation of 2D and 3D Elliptical Joint Confidence Regions
Version: 1.0.0
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>
Description: Computing elliptical joint confidence regions at a specified confidence level. It provides the flexibility to estimate either classical or robust confidence regions, which can be visualized in 2D or 3D plots. The classical approach assumes normality and uses the mean and covariance matrix to define the confidence regions. Alternatively, the robustified version employs estimators like minimum covariance determinant (MCD) and M-estimator, making them less sensitive to outliers and departures from normality. Furthermore, the functions allow users to group the dataset based on categorical variables and estimate separate confidence regions for each group. This capability is particularly useful for exploring potential differences or similarities across subgroups within a dataset. Varmuza and Filzmoser (2009, ISBN:978-1-4200-5947-2). Johnson and Wichern (2007, ISBN:0-13-187715-1). Raymaekers and Rousseeuw (2019) <DOI:10.1080/00401706.2019.1677270>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: cellWise, dplyr, forcats, ggplot2, magrittr, pcaPP, purrr, rgl, rlang, stats, tibble, tidyr, tidyselect
URL: https://christiangoueguel.github.io/ConfidenceEllipse/, https://github.com/ChristianGoueguel/ConfidenceEllipse
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
Language: en-US
BugReports: https://github.com/ChristianGoueguel/ConfidenceEllipse/issues
NeedsCompilation: no
Packaged: 2024-04-19 16:55:15 UTC; christiangoueguel
Author: Christian L. Goueguel [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 14:52:38 UTC

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Package sgboost updated to version 0.1.2 with previous version 0.1.0 dated 2024-04-11

Title: Sparse-Group Boosting
Description: Sparse-group boosting to be used in conjunction with the 'mboost' for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.
Author: Fabian Obster [aut, cre, cph]
Maintainer: Fabian Obster <fabian.obster@unibw.de>

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Package RainfallErosivityFactor updated to version 1.0.0 with previous version 0.1.0 dated 2018-11-18

Title: The Rainfall-Runoff Erosivity Factor
Description: Determination of rainfall-runoff erosivity factor.
Author: Dione Pereira Cardoso [aut, cre], Edilson Marcelino Silva [aut], Paulo Cesar Ossani [aut], Marx Leandro Naves Silva [ctb], Joel Augusto Muniz [ctb], Daniel Furtado Ferreira [ctb], Junior Cesar Avanzi [ctb]
Maintainer: Dione Pereira Cardoso <cardoso.dione@gmail.com>

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Package lrstat updated to version 0.2.5 with previous version 0.2.4 dated 2024-03-19

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package ern updated to version 2.0.0 with previous version 1.3.1 dated 2024-01-29

Title: Effective Reproduction Number Estimation
Description: Estimate the effective reproduction number from wastewater and clinical data sources.
Author: David Champredon [aut, cre] , Warsame Yusuf [aut] , Irena Papst [aut]
Maintainer: David Champredon <david.champredon@canada.ca>

Diff between ern versions 1.3.1 dated 2024-01-29 and 2.0.0 dated 2024-04-22

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Package LipidomicsR updated to version 0.3.6 with previous version 0.1.6 dated 2024-03-16

Title: Elegant Tools for Processing and Visualization of Lipidomics Data
Description: An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.
Author: Mingshi Li [aut, com], Hengyu Zhu [aut, cre]
Maintainer: Hengyu Zhu <hengyu.21@intl.zju.edu.cn>

Diff between LipidomicsR versions 0.1.6 dated 2024-03-16 and 0.3.6 dated 2024-04-22

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Package fabletools updated to version 0.4.2 with previous version 0.4.1 dated 2024-03-02

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ripc updated to version 0.3.0 with previous version 0.2.1 dated 2024-03-15

Title: Download and Tidy IPC and CH Data
Description: Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Author: Seth Caldwell [aut, cre, cph]
Maintainer: Seth Caldwell <caldwellst@gmail.com>

Diff between ripc versions 0.2.1 dated 2024-03-15 and 0.3.0 dated 2024-04-22

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Package memoiR updated to version 1.2-9 with previous version 1.2-7 dated 2024-02-26

Title: R Markdown and Bookdown Templates to Publish Documents
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
Author: Eric Marcon [aut, cre]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

Diff between memoiR versions 1.2-7 dated 2024-02-26 and 1.2-9 dated 2024-04-22

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Package acled.api updated to version 1.1.8 with previous version 1.1.7 dated 2024-01-10

Title: Automated Retrieval of ACLED Conflict Event Data
Description: Access and manage the application programming interface (API) of the Armed Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>. The package makes it easy to retrieve a user-defined sample (or all of the available data) of ACLED, enabling a seamless integration of regular data updates into the research work flow. It requires a minimal number of dependencies. See the package's README file for a note on replicability when drawing on ACLED data. When using this package, you acknowledge that you have read ACLED's terms and conditions of use, and that you agree with their attribution requirements.
Author: Christoph Dworschak [aut, cre] , Rob Williams [ctb]
Maintainer: Christoph Dworschak <dworschak@posteo.de>

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Package SAiVE updated to version 1.0.5 with previous version 1.0.4 dated 2024-02-07

Title: Functions Used for SAiVE Group Research, Collaborations, and Publications
Description: Holds functions developed by the University of Ottawa's SAiVE (Spatio-temporal Analysis of isotope Variations in the Environment) research group with the intention of facilitating the re-use of code, foster good code writing practices, and to allow others to benefit from the work done by the SAiVE group. Contributions are welcome via the 'GitHub' repository <https://github.com/UO-SAiVE/SAiVE> by group members as well as non-members.
Author: Ghislain de Laplante [aut, cre, cph]
Maintainer: Ghislain de Laplante <ghislain.delaplante@yukon.ca>

Diff between SAiVE versions 1.0.4 dated 2024-02-07 and 1.0.5 dated 2024-04-22

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Package rococo updated to version 1.1.8 with previous version 1.1.7 dated 2018-10-12

Title: Robust Rank Correlation Coefficient and Test
Description: Provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.
Author: Martin Krone [aut], Ulrich Bodenhofer [aut,cre]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

Diff between rococo versions 1.1.7 dated 2018-10-12 and 1.1.8 dated 2024-04-22

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Package ieugwasr updated to version 1.0.0 with previous version 0.2.2 dated 2024-03-28

Title: Interface to the 'OpenGWAS' Database API
Description: Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Author: Gibran Hemani [aut, cre, cph] , Ben Elsworth [aut] , Tom Palmer [aut] , Rita Rasteiro [aut]
Maintainer: Gibran Hemani <g.hemani@bristol.ac.uk>

Diff between ieugwasr versions 0.2.2 dated 2024-03-28 and 1.0.0 dated 2024-04-22

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More information about ieugwasr at CRAN
Permanent link

Package colorscience updated to version 1.0.9 with previous version 1.0.8 dated 2019-10-29

Title: Color Science Methods and Data
Description: Methods and data for color science - color conversions by observer, illuminant, and gamma. Color matching functions and chromaticity diagrams. Color indices, color differences, and spectral data conversion/analysis. This package is deprecated and will someday be removed; for reasons and details please see the README file.
Author: Jose Gama [aut], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between colorscience versions 1.0.8 dated 2019-10-29 and 1.0.9 dated 2024-04-22

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Package BMRMM updated to version 1.0.1 with previous version 1.0.0 dated 2023-06-19

Title: An Implementation of the Bayesian Markov (Renewal) Mixed Models
Description: The Bayesian Markov renewal mixed models take sequentially observed categorical data with continuous duration times, being either state duration or inter-state duration. These models comprehensively analyze the stochastic dynamics of both state transitions and duration times under the influence of multiple exogenous factors and random individual effect. The default setting flexibly models the transition probabilities using Dirichlet mixtures and the duration times using gamma mixtures. It also provides the flexibility of modeling the categorical sequences using Bayesian Markov mixed models alone, either ignoring the duration times altogether or dividing duration time into multiples of an additional category in the sequence by a user-specific unit. The package allows extensive inference of the state transition probabilities and the duration times as well as relevant plots and graphs. It also includes a synthetic data set to demonstrate the desired format of input data set and the utilit [...truncated...]
Author: Yutong Wu [aut, cre], Abhra Sarkar [aut]
Maintainer: Yutong Wu <yutong.wu@utexas.edu>

Diff between BMRMM versions 1.0.0 dated 2023-06-19 and 1.0.1 dated 2024-04-22

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More information about BMRMM at CRAN
Permanent link

Sun, 21 Apr 2024

Package MSclust updated to version 1.0.4 with previous version 1.0.3 dated 2023-05-04

Title: Multiple-Scaled Clustering
Description: Model based clustering using the multivariate multiple Scaled t (MST) and multivariate multiple scaled contaminated normal (MSCN) distributions. The MST is an extension of the multivariate Student-t distribution to include flexible tail behaviors, Forbes, F. & Wraith, D. (2014) <doi:10.1007/s11222-013-9414-4>. The MSCN represents a heavy-tailed generalization of the multivariate normal (MN) distribution to model elliptical contoured scatters in the presence of mild outliers (also referred to as "bad" points) and automatically detect bad points, Punzo, A. & Tortora, C. (2021) <doi:10.1177/1471082X19890935>.
Author: Cristina Tortora [aut, cre, cph] , Antonio Punzo [aut] , Louis Tran [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>

Diff between MSclust versions 1.0.3 dated 2023-05-04 and 1.0.4 dated 2024-04-21

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Package rEMM updated to version 1.2.1 with previous version 1.2.0 dated 2022-06-25

Title: Extensible Markov Model for Modelling Temporal Relationships Between Clusters
Description: Implements TRACDS (Temporal Relationships between Clusters for Data Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute. Hahsler and Dunham (2010) <doi:10.18637/jss.v035.i05>.
Author: Michael Hahsler [aut, cre, cph] , Margaret H. Dunham [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between rEMM versions 1.2.0 dated 2022-06-25 and 1.2.1 dated 2024-04-21

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More information about rEMM at CRAN
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Package stream updated to version 2.0-2 with previous version 2.0-1 dated 2023-02-28

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Bolanos [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 2.0-1 dated 2023-02-28 and 2.0-2 dated 2024-04-21

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More information about stream at CRAN
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Package uwot updated to version 0.2.2 with previous version 0.2.1 dated 2024-04-15

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between uwot versions 0.2.1 dated 2024-04-15 and 0.2.2 dated 2024-04-21

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More information about uwot at CRAN
Permanent link

Package openssl updated to version 2.1.2 with previous version 2.1.1 dated 2023-09-25

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 2.1.1 dated 2023-09-25 and 2.1.2 dated 2024-04-21

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Permanent link

Package INLAspacetime updated to version 0.1.8 with previous version 0.1.7 dated 2023-08-27

Title: Spatial and Spatio-Temporal Models using 'INLA'
Description: Prepare objects to implement models over spatial and spacetime domains with the 'INLA' package (<https://www.r-inla.org>). These objects contain data to for the 'cgeneric' interface in 'INLA', enabling fast parallel computations. We implemented the spatial barrier model, see Bakka et. al. (2019) <doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal models in Lindgren et. al. (2023) <doi:10.48550/arXiv.2006.04917>. Details are provided in the available vignettes and from the URL bellow.
Author: Elias Teixeira Krainski [cre, aut, cph] , Finn Lindgren [aut] , Haavard Rue [aut]
Maintainer: Elias Teixeira Krainski <eliaskrainski@gmail.com>

Diff between INLAspacetime versions 0.1.7 dated 2023-08-27 and 0.1.8 dated 2024-04-21

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Permanent link

Package glmnetr updated to version 0.4-6 with previous version 0.4-5 dated 2024-04-19

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Recursive Partitioning ('RPART') or step wise regression models are fit. Nested cross validation (or analogous for the random forest) is used to estimate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (nested) cross validation. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied with the 'path=TRUE' options when calling glmnet() and cv.glmnet(). Within the glmnetr package the approach of path=TRUE is taken by default. When fitting not a relaxed la [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

Diff between glmnetr versions 0.4-5 dated 2024-04-19 and 0.4-6 dated 2024-04-21

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 12 files changed, 19 insertions(+), 18 deletions(-)

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Package gdi updated to version 1.6.0 with previous version 1.5.4 dated 2023-09-07

Title: Volumetric Analysis using Graphic Double Integration
Description: Tools implementing an automated version of the graphic double integration technique (GDI) for volume implementation, and some other related utilities for paleontological image-analysis. GDI was first employed by Jerison (1973) <ISBN:9780323141086> and Hurlburt (1999) <doi:10.1080/02724634.1999.10011145> and is primarily used for volume or mass estimation of (extinct) animals. The package 'gdi' aims to make this technique as convenient and versatile as possible. The core functions of 'gdi' provide utilities for automatically measuring diameters from digital silhouettes provided as image files and calculating volume via graphic double integration with simple elliptical, superelliptical (following Motani 2001 <doi:10.1666/0094-8373(2001)027%3C0735:EBMFST%3E2.0.CO;2>) or complex cross-sectional models. Additionally, the package provides functions for estimating the center of mass position (COM), the moment of inertia (I) for 3D shapes and the second moment of area (Ix, Iy [...truncated...]
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>

Diff between gdi versions 1.5.4 dated 2023-09-07 and 1.6.0 dated 2024-04-21

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 15 files changed, 184 insertions(+), 80 deletions(-)

More information about gdi at CRAN
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