Wed, 31 Jul 2024

Package packageRank updated to version 0.9.2 with previous version 0.9.1 dated 2024-05-21

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>

Diff between packageRank versions 0.9.1 dated 2024-05-21 and 0.9.2 dated 2024-07-31

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Package worldbank updated to version 0.2.0 with previous version 0.1.0 dated 2024-07-02

Title: Client for the 'World Bank Indicators API'
Description: Download and search data from the 'World Bank Indicators API', which provides access to nearly 16,000 time series indicators. See <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation> for further details about the API.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between worldbank versions 0.1.0 dated 2024-07-02 and 0.2.0 dated 2024-07-31

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Package scclust updated to version 0.2.5 with previous version 0.2.4 dated 2023-11-29

Title: Size-Constrained Clustering
Description: Provides wrappers for 'scclust', a C library for computationally efficient size-constrained clustering with near-optimal performance. See <https://github.com/fsavje/scclust> for more information.
Author: Fredrik Savje [aut, cre], Michael Higgins [aut], Jasjeet Sekhon [aut]
Maintainer: Fredrik Savje <rpackages@fredriksavje.com>

Diff between scclust versions 0.2.4 dated 2023-11-29 and 0.2.5 dated 2024-07-31

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Package quickmatch updated to version 0.2.3 with previous version 0.2.2 dated 2023-11-29

Title: Quick Generalized Full Matching
Description: Provides functions for constructing near-optimal generalized full matching. Generalized full matching is an extension of the original full matching method to situations with more intricate study designs. The package is made with large data sets in mind and derives matches more than an order of magnitude quicker than other methods.
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <rpackages@fredriksavje.com>

Diff between quickmatch versions 0.2.2 dated 2023-11-29 and 0.2.3 dated 2024-07-31

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Package quickblock updated to version 0.2.2 with previous version 0.2.1 dated 2023-11-29

Title: Quick Threshold Blocking
Description: Provides functions for assigning treatments in randomized experiments using near-optimal threshold blocking. The package is made with large data sets in mind and derives blocks more than an order of magnitude quicker than other methods.
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <rpackages@fredriksavje.com>

Diff between quickblock versions 0.2.1 dated 2023-11-29 and 0.2.2 dated 2024-07-31

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Package mdw updated to version 2024.8-1 with previous version 2020.6-17 dated 2020-06-18

Title: Maximum Diversity Weighting
Description: Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <DOI:10.1002/sim.8212>.
Author: Zonglin He [aut], Youyi Fong [cre]
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between mdw versions 2020.6-17 dated 2020-06-18 and 2024.8-1 dated 2024-07-31

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Package distances updated to version 0.1.11 with previous version 0.1.10 dated 2023-11-28

Title: Tools for Distance Metrics
Description: Provides tools for constructing, manipulating and using distance metrics.
Author: Fredrik Savje [aut, cre]
Maintainer: Fredrik Savje <rpackages@fredriksavje.com>

Diff between distances versions 0.1.10 dated 2023-11-28 and 0.1.11 dated 2024-07-31

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Package copcor updated to version 2024.7-31 with previous version 2023.8-27 dated 2023-08-30

Title: Correlates of Protection and Correlates of Risk Functions
Description: Correlates of protection (CoP) and correlates of risk (CoR) study the immune biomarkers associated with an infectious disease outcome, e.g. COVID or HIV-1 infection. This package contains shared functions for analyzing CoP and CoR, including bootstrapping procedures, competing risk estimation, and bootstrapping marginalized risks.
Author: Youyi Fong [cre], Yiwen He [aut], Chenchen Yu [aut], Bhavesh Borate [aut], Peter Gilbert [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between copcor versions 2023.8-27 dated 2023-08-30 and 2024.7-31 dated 2024-07-31

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Package margins updated to version 0.3.28 with previous version 0.3.27 dated 2024-06-13

Title: Marginal Effects for Model Objects
Description: An R port of the margins command from 'Stata', which can be used to calculate marginal (or partial) effects from model objects.
Author: Thomas J. Leeper [aut] , Jeffrey Arnold [ctb], Vincent Arel-Bundock [ctb], Jacob A. Long [ctb] , Ben Bolker [ctb, cre]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

Diff between margins versions 0.3.27 dated 2024-06-13 and 0.3.28 dated 2024-07-31

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Package circle updated to version 0.7.3 with previous version 0.7.2 dated 2022-08-24

Title: R Client Package for Circle CI
Description: Tools for interacting with the 'Circle CI' API (<https://circleci.com/docs/api/v2/>). Besides executing common tasks such as querying build logs and restarting builds, this package also helps setting up permissions to deploy from builds.
Author: Patrick Schratz [aut, cre] , Max Joseph [rev] , Sharla Gelfand [rev]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

Diff between circle versions 0.7.2 dated 2022-08-24 and 0.7.3 dated 2024-07-31

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Package multisite.accuracy updated to version 1.3 with previous version 1.2 dated 2023-04-18

Title: Estimation of Accuracy in Multisite Machine-Learning Models
Description: The effects of the site may severely bias the accuracy of a multisite machine-learning model, even if the analysts removed them when fitting the model in the 'training set' and applying the model in the 'test set' (Solanes et al., Neuroimage 2023, 265:119800). This simple R package estimates the accuracy of a multisite machine-learning model unbiasedly, as described in (Solanes et al., Psychiatry Research: Neuroimaging 2021, 314:111313). It currently supports the estimation of sensitivity, specificity, balanced accuracy (for binary or multinomial variables), the area under the curve, correlation, mean squarer error, and hazard ratio for binomial, multinomial, gaussian, and survival (time-to-event) outcomes.
Author: Joaquim Radua [aut, cre]
Maintainer: Joaquim Radua <quimradua@gmail.com>

Diff between multisite.accuracy versions 1.2 dated 2023-04-18 and 1.3 dated 2024-07-31

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Package RQuantLib updated to version 0.4.24 with previous version 0.4.23 dated 2024-07-23

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 [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.23 dated 2024-07-23 and 0.4.24 dated 2024-07-31

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Package FSDAM updated to version 2024.7-30 with previous version 2024.1-30 dated 2024-01-29

Title: Forward Stepwise Deep Autoencoder-Based Monotone NLDR
Description: FS-DAM performs feature extraction through latent variables identification. Implementation is based on autoencoders with monotonicity and orthogonality constraints.
Author: Youyi Fong [cre], Jun Xu [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between FSDAM versions 2024.1-30 dated 2024-01-29 and 2024.7-30 dated 2024-07-31

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Package b64 updated to version 0.1.2 with previous version 0.1.1 dated 2024-07-01

Title: Fast and Vectorized Base 64 Engine
Description: Provides a fast, lightweight, and vectorized base 64 engine to encode and decode character and raw vectors as well as files stored on disk. Common base 64 alphabets are supported out of the box including the standard, URL-safe, bcrypt, crypt, 'BinHex', and IMAP-modified UTF-7 alphabets. Custom engines can be created to support unique base 64 encoding and decoding needs.
Author: Josiah Parry [aut, cre] , Etienne Bacher [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between b64 versions 0.1.1 dated 2024-07-01 and 0.1.2 dated 2024-07-31

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Package stgam updated to version 0.0.1.2 with previous version 0.0.1.1 dated 2024-07-12

Title: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Description: A framework for specifying spatially, temporally and spatially-and-temporally varying coefficient models using Generalized Additive Models with Gaussian Process smooths. The smooths are parameterised with location and / or time attributes. Importantly the framework supports the investigation of the presence and nature of any space-time dependencies in the data, allows the user to evaluate different model forms (specifications) and to pick the most probable model or to combine multiple varying coefficient models using Bayesian Model Averaging. For more details see: Brunsdon et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.17>, Comber et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.22> and Comber et al (2024) <doi:10.1080/13658816.2023.2270285>.
Author: Lex Comber [aut, cre], Paul Harris [ctb], Chris Brunsdon [ctb]
Maintainer: Lex Comber <a.comber@leeds.ac.uk>

Diff between stgam versions 0.0.1.1 dated 2024-07-12 and 0.0.1.2 dated 2024-07-31

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Package withr updated to version 3.0.1 with previous version 3.0.0 dated 2024-01-16

Title: Run Code 'With' Temporarily Modified Global State
Description: A set of functions to run code 'with' safely and temporarily modified global state. Many of these functions were originally a part of the 'devtools' package, this provides a simple package with limited dependencies to provide access to these functions.
Author: Jim Hester [aut], Lionel Henry [aut, cre], Kirill Mueller [aut], Kevin Ushey [aut], Hadley Wickham [aut], Winston Chang [aut], Jennifer Bryan [ctb], Richard Cotton [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

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Package vivid updated to version 0.2.9 with previous version 0.2.8 dated 2023-07-10

Title: Variable Importance and Variable Interaction Displays
Description: A suite of plots for displaying variable importance and two-way variable interaction jointly. Can also display partial dependence plots laid out in a pairs plot or 'zenplots' style.
Author: Alan Inglis [aut, cre], Andrew Parnell [aut], Catherine Hurley [aut]
Maintainer: Alan Inglis <alan.n.inglis@gmail.com>

Diff between vivid versions 0.2.8 dated 2023-07-10 and 0.2.9 dated 2024-07-31

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Package oem updated to version 2.0.12 with previous version 2.0.11 dated 2022-10-13

Title: Orthogonalizing EM: Penalized Regression for Big Tall Data
Description: Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting. A description of the underlying methods and code interface is described in Huling and Chien (2022) <doi:10.18637/jss.v104.i06>.
Author: Bin Dai [aut], Jared Huling [aut, cre] , Yixuan Qiu [ctb], Gael Guennebaud [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between oem versions 2.0.11 dated 2022-10-13 and 2.0.12 dated 2024-07-31

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New package WhiteLabRt with initial version 1.0
Package: WhiteLabRt
Title: Novel Methods for Reproduction Number Estimation, Back-Calculation, and Forecasting
Version: 1.0
Date: 2024-07-23
Maintainer: Chad Milando <cmilando@bu.edu>
Description: A collection of functions related to novel methods for estimating R(t), created by the lab of Professor Laura White. Currently implemented methods include two-step Bayesian back-calculation and now-casting for line-list data with missing reporting delays, adapted in 'STAN' from Li (2021) <doi:10.1371/journal.pcbi.1009210>, and calculation of time-varying reproduction number assuming a flux between various adjacent states, adapted into 'STAN' from Zhou (2021) <doi:10.1371/journal.pcbi.1010434>.
License: MIT + file LICENSE
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-07-29 14:39:57 UTC; cwm
Author: Chad Milando [aut, cre], Tenglong Li [ctb], Zhenwei Zhou [ctb], Laura White [ctb]
Repository: CRAN
Date/Publication: 2024-07-31 10:10:28 UTC

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Package slam updated to version 0.1-52 with previous version 0.1-51 dated 2024-07-17

Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre] , David Meyer [aut], Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between slam versions 0.1-51 dated 2024-07-17 and 0.1-52 dated 2024-07-31

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New package rmacrostrat with initial version 0.0.1
Package: rmacrostrat
Title: Fetch Geologic Data from the 'Macrostrat' Platform
Description: Work with the 'Macrostrat' Web Service (<https://macrostrat.org/>) to fetch geological data relevant to the spatial and temporal distribution of sedimentary, igneous, and metamorphic rocks as well as data extracted from them.
Version: 0.0.1
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: curl, geojsonsf, httr, jsonlite, sf
Suggests: covr, cowplot, deeptime, devtools, ggplot2, ggrepel, ggspatial, knitr, rmarkdown, rnaturalearth, rnaturalearthhires, rphylopic, palaeoverse, testthat (>= 3.0.0), units
Additional_repositories: http://packages.ropensci.org
VignetteBuilder: knitr
URL: https://rmacrostrat.palaeoverse.org, https://palaeoverse.org, https://macrostrat.org, https://github.com/UW-Macrostrat/macrostrat/issues
BugReports: https://github.com/palaeoverse/rmacrostrat/issues
NeedsCompilation: no
Packaged: 2024-07-29 17:34:10 UTC; lewis
Author: Lewis A. Jones [aut, cre, cph] , William Gearty [aut] , Christopher D. Dean [aut] , Bethany Allen [aut]
Maintainer: Lewis A. Jones <LewisA.Jones@outlook.com>
Repository: CRAN
Date/Publication: 2024-07-31 10:30:05 UTC

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New package resultant with initial version 1.0.0
Package: resultant
Title: Utilities for Multivariate Polynomials with Rational Coefficients
Version: 1.0.0
Description: Computation of resultant, subresultants, greatest common divisor, integral division (aka division without remainder) of two multivariate polynomials with rational coefficients, Sturm-Habicht sequence and square-free factorization of a multivariate polynomial with rational coefficients. The computations are performed by the 'C++' library 'CGAL' (<https://www.cgal.org/>). Resultants have applications in polynomial systems solving, number theory, and algebraic geometry. The package also contains some functions computing the number of real roots of a univariate polynomial with rational coefficients, and a function computing the division with remainder of two univariate polynomials with rational coefficients.
License: GPL-3
URL: https://github.com/stla/resultant
BugReports: https://github.com/stla/resultant/issues
Depends: qspray (>= 3.1.0)
Imports: Rcpp, gmp, utils
Suggests: testthat (>= 3.0.0)
LinkingTo: BH, Rcpp, RcppCGAL
Encoding: UTF-8
SystemRequirements: C++17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2024-07-30 00:59:08 UTC; User
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-07-31 10:50:02 UTC

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New package powerNLSEM with initial version 0.1.1
Package: powerNLSEM
Title: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
Version: 0.1.1
Author: Julien Patrick Irmer [aut, cre, cph]
Maintainer: Julien Patrick Irmer <jpirmer@gmail.com>
Description: Model-implied simulation-based power estimation (MSPE) for nonlinear (and linear) SEM, path analysis and regression analysis. A theoretical framework is used to approximate the relation between power and sample size for given type I error rates and effect sizes. The package offers an adaptive search algorithm to find the optimal N for given effect sizes and type I error rates. Plots can be used to visualize the power relation to N for different parameters of interest (POI). Theoretical justifications are given in Irmer et al. (2024a) <doi:10.31219/osf.io/pe5bj> and detailed description are given in Irmer et al. (2024b).
License: GPL-3
URL: https://github.com/jpirmer/powerNLSEM
BugReports: https://github.com/jpirmer/powerNLSEM/issues
Depends: ggplot2, stats, utils
Imports: crayon, lavaan (>= 0.6.16), mvtnorm, numDeriv, pbapply, rlang (>= 1.1.0), stringr
Suggests: knitr, MplusAutomation (>= 0.7-2), rmarkdown, semTools, simsem
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-07-29 17:30:16 UTC; irmer
Repository: CRAN
Date/Publication: 2024-07-31 10:30:29 UTC

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New package patterncausality with initial version 0.1.0
Package: patterncausality
Title: Pattern Causality Algorithm
Version: 0.1.0
Maintainer: Hui Wang <hui.wang1@monash.edu>
Description: The model proposes a robust methodology for detecting and reconstructing the hidden structure of dynamic complex systems through short-term forecasts and information embedded in reconstructed state spaces. The approach not only identifies critical components and causal interactions within these systems but also provides a practical tool for optimizing system performance and stability.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: snowfall, tcltk2, moments, stats
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-07-29 17:27:31 UTC; pc2
Author: Hui Wang [aut, cre] , Stavros Stavroglou [aut] , Athanasios Pantelous [aut]
Repository: CRAN
Date/Publication: 2024-07-31 10:20:03 UTC

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New package nifti.pbcor with initial version 1.0
Package: nifti.pbcor
Title: Parcel-Based Correlation Between NIfTI Images
Version: 1.0
Date: 2024-07-03
Description: Estimate the correlation between two NIfTI images across random parcellations of the images (Fortea et al., under review). This approach overcomes the problems of both voxel-based correlations (neighbor voxels may be spatially dependent) and atlas-based correlations (the correlation may depend on the atlas used).
License: Artistic License 2.0
Depends: R (>= 2.10)
Suggests: oro.nifti
NeedsCompilation: no
Packaged: 2024-07-29 15:32:55 UTC; team
Author: Joaquim Radua [aut, cre]
Maintainer: Joaquim Radua <quimradua@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-31 10:20:16 UTC

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Package metaGE updated to version 1.1.0 with previous version 1.0.3 dated 2023-09-28

Title: Meta-Analysis for Detecting Genotype x Environment Associations
Description: Provides functions to perform all steps of genome-wide association meta-analysis for studying Genotype x Environment interactions, from collecting the data to the manhattan plot. The procedure accounts for the potential correlation between studies. In addition to the Fixed and Random models, one can investigate the relationship between QTL effects and some qualitative or quantitative covariate via the test of contrast and the meta-regression, respectively. The methodology is available from: (De Walsche, A., et al. (2023) \doi{10.1101/2023.03.01.530237}).
Author: Annaig De Walsche [aut, cre] , Tristan Mary-Huard [aut]
Maintainer: Annaig De Walsche <annaig.de-walsche@inrae.fr>

Diff between metaGE versions 1.0.3 dated 2023-09-28 and 1.1.0 dated 2024-07-31

 DESCRIPTION                   |   27 +++++-----
 MD5                           |   52 ++++++++++-----------
 R/metaGE-package.R            |   12 ++++
 R/metaGEcollect.R             |   51 ++++++++++++--------
 R/metaGEfit.R                 |   20 ++++----
 R/metaGEmatcor.R              |   10 ++--
 R/metaGEplot.R                |  104 +++++++++++++++++++++++++-----------------
 R/metaGEscore.R               |   73 ++++++++++++++++-------------
 R/metaGEtest.R                |   42 ++++++++--------
 inst/doc/metaGE-vignette.R    |    2 
 inst/doc/metaGE-vignette.html |   60 ++++++++++++------------
 man/CheckIncidence.Rd         |    2 
 man/ContrastStatTest.NA.Rd    |    6 +-
 man/ContrastStatTest.Rd       |    6 +-
 man/ReadData.Rd               |    2 
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 man/metaGE.cor.Rd             |   10 ++--
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 man/metaGE.heatmap.Rd         |   12 ++--
 man/metaGE.incidence.Rd       |    4 -
 man/metaGE.lscore.Rd          |   20 ++++----
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 man/metaGE.regplot.Rd         |    8 +--
 man/metaGE.test.Rd            |   18 +++----
 27 files changed, 351 insertions(+), 290 deletions(-)

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New package mapgl with initial version 0.1.1
Package: mapgl
Title: Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS' in R
Version: 0.1.1
Date: 2024-07-29
Description: Provides an interface to the 'Mapbox GL JS' (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS' (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries to help users create custom interactive maps in R. Users can create interactive globe visualizations; layer 'sf' objects to create filled maps, circle maps, 'heatmaps', and three-dimensional graphics; and customize map styles and views. The package also includes utilities to use 'Mapbox' and 'MapLibre' maps in 'Shiny' web applications.
URL: https://walker-data.com/mapgl/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmlwidgets, geojsonsf, sf, rlang, htmltools, grDevices, base64enc, terra
Suggests: shiny, mapboxapi, usethis
NeedsCompilation: no
Packaged: 2024-07-29 15:28:31 UTC; kylewalker
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2024-07-31 10:10:03 UTC

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New package highlightr with initial version 1.0.0
Package: highlightr
Title: Highlight Conserved Edits Across Versions of a Document
Version: 1.0.0
Description: Input multiple versions of a source document, and receive HTML code for a highlighted version of the source document indicating the frequency of occurrence of phrases in the different versions. This method is described in Chapter 3 of Rogers (2024) <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, fuzzyjoin, ggplot2, magrittr, purrr, quanteda, quanteda.textstats, stringr, tibble, tidyr, tm
Depends: R (>= 2.10)
LazyData: true
URL: https://rachelesrogers.github.io/highlightr/, https://github.com/rachelesrogers/highlightr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/rachelesrogers/highlightr/issues
NeedsCompilation: no
Packaged: 2024-07-29 19:20:45 UTC; rrogers9
Author: Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Rachel Rogers [aut, cre] , Susan VanderPlas [aut]
Maintainer: Rachel Rogers <rrogers.rpackages@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-31 10:40:23 UTC

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New package forested with initial version 0.1.0
Package: forested
Title: Forest Attributes in Washington State
Version: 0.1.0
Description: A small subset of plots in Washington State are sampled and assessed "on-the-ground" as forested or non-forested by the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program, but the FIA also has access to remotely sensed data for all land in the state. The 'forested' package contains a data frame by the same name intended for use in predictive modeling applications where the more easily-accessible remotely sensed data can be used to predict whether a plot is forested or non-forested.
License: MIT + file LICENSE
Suggests: knitr
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/simonpcouch/forested, https://simonpcouch.github.io/forested/
BugReports: https://github.com/simonpcouch/forested/issues
NeedsCompilation: no
Packaged: 2024-07-29 14:01:23 UTC; simoncouch
Author: Grayson White [aut] , Hannah Frick [aut] , Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2024-07-31 10:10:16 UTC

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Package econet updated to version 1.0.0.1 with previous version 1.0.0 dated 2022-04-28

Title: Estimation of Parameter-Dependent Network Centrality Measures
Description: Provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both non linear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the 'econet' package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Patacchini, and Leone Sciabolazza (2020). For additional details, see the vignette <doi:10.18637/jss.v102.i08>.
Author: Marco Battaglini [aut] , Valerio Leone Sciabolazza [aut, cre] , Eleonora Patacchini [aut] , Sida Peng [aut]
Maintainer: Valerio Leone Sciabolazza <valerio.leonesciabolazza@uniroma1.it>

Diff between econet versions 1.0.0 dated 2022-04-28 and 1.0.0.1 dated 2024-07-31

 DESCRIPTION              |    6 +++---
 MD5                      |   23 ++++++++++++-----------
 R/sysdata.rda            |binary
 build/vignette.rds       |binary
 data/G_alumni_111.rda    |binary
 data/G_cosponsor_111.rda |binary
 data/G_model_A_test.rda  |binary
 data/a_G_alumni_111.rda  |binary
 data/a_db_alumni.rda     |binary
 data/db_alumni_test.rda  |binary
 data/db_cosponsor.rda    |binary
 inst/doc/econet.pdf      |binary
 inst/doc/econet.tex      |only
 13 files changed, 15 insertions(+), 14 deletions(-)

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Package cvms updated to version 1.6.2 with previous version 1.6.1 dated 2024-02-27

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre] , Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] , Daniel Luedecke [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between cvms versions 1.6.1 dated 2024-02-27 and 1.6.2 dated 2024-07-31

 cvms-1.6.1/cvms/build/cvms.pdf                                                 |only
 cvms-1.6.2/cvms/DESCRIPTION                                                    |   10 +--
 cvms-1.6.2/cvms/MD5                                                            |   28 +++++-----
 cvms-1.6.2/cvms/NEWS.md                                                        |    4 +
 cvms-1.6.2/cvms/R/plot_confusion_matrix.R                                      |   12 ++++
 cvms-1.6.2/cvms/build/stage23.rdb                                              |only
 cvms-1.6.2/cvms/build/vignette.rds                                             |binary
 cvms-1.6.2/cvms/inst/doc/Creating_a_confusion_matrix.html                      |    6 +-
 cvms-1.6.2/cvms/inst/doc/available_metrics.html                                |    8 +-
 cvms-1.6.2/cvms/inst/doc/cross_validating_custom_functions.html                |   10 +--
 cvms-1.6.2/cvms/inst/doc/evaluate_by_id.html                                   |    6 +-
 cvms-1.6.2/cvms/inst/doc/picking_the_number_of_folds_for_cross-validation.html |    8 +-
 cvms-1.6.2/cvms/man/plot_confusion_matrix.Rd                                   |   12 ++++
 cvms-1.6.2/cvms/tests/testthat/test_cross_validate.R                           |    2 
 cvms-1.6.2/cvms/tests/testthat/test_plotting_functions.R                       |   18 ++++--
 cvms-1.6.2/cvms/vignettes/man/figures/vignette_pick_k-unnamed-chunk-5-1.png    |binary
 16 files changed, 79 insertions(+), 45 deletions(-)

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New package ASMbook with initial version 1.0.2
Package: ASMbook
Version: 1.0.2
Date: 2024-07-29
Title: Functions for the Book "Applied Statistical Modeling for Ecologists"
Depends: R (>= 3.4.0)
Imports: coda, lattice, MASS, stats, TMB
Suggests: roxygen2
Description: Provides functions to accompany the book "Applied Statistical Modeling for Ecologists" by Marc Kéry and Kenneth F. Kellner (2024, ISBN: 9780443137150). Included are functions for simulating and customizing the datasets used for the example models in each chapter, summarizing output from model fitting engines, and running custom Markov Chain Monte Carlo.
License: GPL-3
NeedsCompilation: no
Encoding: UTF-8
URL: https://shop.elsevier.com/books/applied-statistical-modelling-for-ecologists/kery/978-0-443-13715-0
BugReports: https://github.com/kenkellner/ASMbook/issues
Packaged: 2024-07-29 14:57:43 UTC; ken
Author: Marc Kery [aut], Ken Kellner [cre, aut]
Maintainer: Ken Kellner <contact@kenkellner.com>
Repository: CRAN
Date/Publication: 2024-07-31 10:20:27 UTC

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New package amVennDiagram5 with initial version 1.0.0
Package: amVennDiagram5
Title: Interactive Venn Diagrams
Version: 1.0.0
Description: Creates interactive Venn diagrams using the 'amCharts5' library for 'JavaScript'. They can be used directly from the R console, from 'RStudio', in 'shiny' applications, and in 'rmarkdown' documents.
License: GPL-3
URL: https://github.com/stla/amVennDiagram5
BugReports: https://github.com/stla/amVennDiagram5/issues
Imports: htmlwidgets, partitions, venn, utils
Suggests: shiny
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-07-29 17:31:07 UTC; User
Author: Stephane Laurent [aut, cre], amCharts team [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2024-07-31 10:41:07 UTC

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New package UEI with initial version 0.1.0
Package: UEI
Title: Compute Uniform Error Index
Version: 0.1.0
Author: Mr. Ankit Kumar Singh [aut], Dr. Ranjit Kumar Paul [aut, cre], Dr. Md Yeasin [aut], Ms. Anita Sarkar [aut], Dr. Amrit Kumar Paul [aut]
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Uniform Error Index is the weighted average of different error measures. Uniform Error Index utilizes output from different error function and gives more robust and stable error values. This package has been developed to compute Uniform Error Index from ten different loss function like Error Square, Square of Square Error, Quasi Likelihood Error, LogR-Square, Absolute Error, Absolute Square Error etc. The weights are determined using Principal Component Analysis (PCA) algorithm of Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
License: GPL-3
Encoding: UTF-8
Imports: FactoMineR, factoextra, Metrics
NeedsCompilation: no
Packaged: 2024-07-29 11:26:02 UTC; HP
Repository: CRAN
Date/Publication: 2024-07-31 10:00:01 UTC

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New package LifemapR with initial version 1.1.4
Package: LifemapR
Title: Data Visualisation on 'Lifemap' Tree
Version: 1.1.4
Imports: leaflet, shiny, jsonlite, dplyr, tidyr, leaflet.minicharts, htmltools, rlang, RCurl, fastmatch
Description: Allow to visualise data on the NCBI phylogenetic tree as presented in Lifemap <http://lifemap.univ-lyon1.fr/>. It takes as input a dataframe with at least a "taxid" column containing NCBI format TaxIds and allows to draw multiple layers with different visualisation tools.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: knitr
VignetteBuilder: knitr
URL: https://lifemap-tol.github.io/LifemapR/, https://github.com/Lifemap-ToL/LifemapR
BugReports: https://github.com/Lifemap-ToL/LifemapR/issues
NeedsCompilation: no
Packaged: 2024-07-31 07:23:09 UTC; siberchicot
Author: Cassandra Bompard [aut], Damien M. de Vienne [aut], Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Repository: CRAN
Date/Publication: 2024-07-31 09:30:05 UTC

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Package digiRhythm updated to version 2.2 with previous version 2.1 dated 2024-07-25

Title: Analyzing Animal's Rhythmicity
Description: Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.
Author: Hassan-Roland Nasser [aut, cre], Marie Schneider [aut, ctb], Joanna Stachowicz [aut, rev], Christina Umstaetter [aut, ths]
Maintainer: Hassan-Roland Nasser <hassan.nasser@me.com>

Diff between digiRhythm versions 2.1 dated 2024-07-25 and 2.2 dated 2024-07-31

 digiRhythm-2.1/digiRhythm/man/lowest_possible_harmonic_period.Rd                     |only
 digiRhythm-2.2/digiRhythm/DESCRIPTION                                                |    7 
 digiRhythm-2.2/digiRhythm/MD5                                                        |   54 
 digiRhythm-2.2/digiRhythm/NAMESPACE                                                  |    3 
 digiRhythm-2.2/digiRhythm/R/actogram.R                                               |    3 
 digiRhythm-2.2/digiRhythm/R/dfc.R                                                    |   89 -
 digiRhythm-2.2/digiRhythm/R/globals.R                                                |    1 
 digiRhythm-2.2/digiRhythm/R/is_dgm_friendly.R                                        |   17 
 digiRhythm-2.2/digiRhythm/R/lomb_scargle_periodogram.R                               |   11 
 digiRhythm-2.2/digiRhythm/R/utils.R                                                  |   25 
 digiRhythm-2.2/digiRhythm/README.md                                                  |  182 --
 digiRhythm-2.2/digiRhythm/inst/doc/Actgram_diurnality_avg_activity.R                 |    7 
 digiRhythm-2.2/digiRhythm/inst/doc/Actgram_diurnality_avg_activity.Rmd               |    9 
 digiRhythm-2.2/digiRhythm/inst/doc/Actgram_diurnality_avg_activity.html              |   15 
 digiRhythm-2.2/digiRhythm/inst/doc/DFC_and_HP_and_changing_plots.R                   |   14 
 digiRhythm-2.2/digiRhythm/inst/doc/DFC_and_HP_and_changing_plots.Rmd                 |   24 
 digiRhythm-2.2/digiRhythm/inst/doc/DFC_and_HP_and_changing_plots.html                |  639 ++++------
 digiRhythm-2.2/digiRhythm/inst/doc/Loading_and_preprocessing_data_in_DigiRhythm.Rmd  |    2 
 digiRhythm-2.2/digiRhythm/inst/doc/Loading_and_preprocessing_data_in_DigiRhythm.html |   24 
 digiRhythm-2.2/digiRhythm/inst/doc/Visualisation.R                                   |    9 
 digiRhythm-2.2/digiRhythm/inst/doc/Visualisation.Rmd                                 |   17 
 digiRhythm-2.2/digiRhythm/inst/doc/Visualisation.html                                |   23 
 digiRhythm-2.2/digiRhythm/man/dfc.Rd                                                 |   33 
 digiRhythm-2.2/digiRhythm/man/highest_possible_harm_cutoff.Rd                        |only
 digiRhythm-2.2/digiRhythm/man/pbaluev.Rd                                             |    3 
 digiRhythm-2.2/digiRhythm/vignettes/Actgram_diurnality_avg_activity.Rmd              |    9 
 digiRhythm-2.2/digiRhythm/vignettes/DFC_and_HP_and_changing_plots.Rmd                |   24 
 digiRhythm-2.2/digiRhythm/vignettes/Loading_and_preprocessing_data_in_DigiRhythm.Rmd |    2 
 digiRhythm-2.2/digiRhythm/vignettes/Visualisation.Rmd                                |   17 
 29 files changed, 560 insertions(+), 703 deletions(-)

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Package CohortConstructor updated to version 0.2.2 with previous version 0.2.1 dated 2024-06-14

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CohortConstructor versions 0.2.1 dated 2024-06-14 and 0.2.2 dated 2024-07-31

 DESCRIPTION                                    |    8 
 MD5                                            |   42 
 R/conceptCohort.R                              |   83 +
 R/intersectCohorts.R                           | 1059 ++++++++++++-------------
 R/measurementCohort.R                          |   28 
 R/requireCohortIntersectFlag.R                 |  294 +++---
 R/requireConceptIntersectFlag.R                |  268 +++---
 R/requireTableIntersectFlag.R                  |  256 +++---
 R/subsetCohorts.R                              |   14 
 R/unionCohorts.R                               |   32 
 R/validateFunctions.R                          |   19 
 inst/doc/a01_building_base_cohorts.html        |   22 
 inst/doc/a02_applying_cohort_restrictions.html |   16 
 tests/testthat/setup.R                         |  106 +-
 tests/testthat/test-conceptCohort.R            |   53 -
 tests/testthat/test-measurementCohort.R        |   32 
 tests/testthat/test-requireCohortIntersect.R   |  594 +++++++-------
 tests/testthat/test-requireConceptIntersect.R  |  610 +++++++-------
 tests/testthat/test-requireTableIntersect.R    |  594 +++++++-------
 tests/testthat/test-subsetCohorts.R            |   23 
 tests/testthat/test-trimDemographics.R         |  790 +++++++++---------
 tests/testthat/test-unionCohorts.R             |   82 +
 22 files changed, 2576 insertions(+), 2449 deletions(-)

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Package sommer updated to version 4.3.5 with previous version 4.3.4 dated 2024-03-17

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package GenoTriplo updated to version 1.1.0 with previous version 1.0.4 dated 2024-02-28

Title: Genotyping Triploids (or Diploids) from Luminescence Data
Description: Genotyping of triploid individuals from luminescence data (marker probeset A and B). Works also for diploids. Two main functions: Run_Clustering() that regroups individuals with a same genotype based on proximity and Run_Genotyping() that assigns a genotype to each cluster. For Shiny interface use: launch_GenoShiny().
Author: Julien Roche [aut, cre], Florence Phocas [aut], Mathieu Besson [aut], Pierre Patrice [aut], Marc Vandeputte [aut], Francois Allal [aut], Pierrick Haffray [aut]
Maintainer: Julien Roche <jjm.roche@gmail.com>

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Package inldata (with last version 1.2.5) was removed from CRAN

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

2024-07-30 1.2.5

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Package fcl (with last version 0.1.0) was removed from CRAN

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

2023-10-13 0.1.0

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Package ymd (with last version 0.1.0) was removed from CRAN

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

2023-10-09 0.1.0

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Package VisitorCounts updated to version 2.0.1 with previous version 2.0.0 dated 2024-03-25

Title: Modeling and Forecasting Visitor Counts Using Social Media
Description: Performs modeling and forecasting of park visitor counts using social media data and (partial) on-site visitor counts. Specifically, the model is built based on an automatic decomposition of the trend and seasonal components of the social media-based park visitor counts, from which short-term forecasts of the visitor counts and percent changes in the visitor counts can be made. A reference for the underlying model that 'VisitorCounts' uses can be found at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood, Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .
Author: Robert Bowen [aut, cre], Russell Goebel [aut], Beth Ann Brackett [ctb], Kimihiro Noguchi [aut], Dylan Way [aut]
Maintainer: Robert Bowen <robertbowen.bham@gmail.com>

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New package PDXpower with initial version 1.0.3
Package: PDXpower
Title: Time to Event Outcome in Experimental Designs of Pre-Clinical Studies
Version: 1.0.3
Date: 2024-07-30
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>
Description: Conduct simulation-based customized power calculation for clustered time to event data in a mixed crossed/nested design, where a number of cell lines and a number of mice within each cell line are considered to achieve a desired statistical power, motivated by Eckel-Passow and colleagues (2021) <doi:10.1093/neuonc/noab137> and Li and colleagues (2024) <doi:10.48550/arXiv.2404.08927>. This package provides two commonly used models for powering a design, linear mixed effects and Cox frailty model. Both models account for within-subject (cell line) correlation while holding different distributional assumptions about the outcome. Alternatively, the counterparts of fixed effects model are also available, which produces similar estimates of statistical power.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0),survival,stats,parallel
Imports: nlme,ggplot2,ggpubr,frailtypack
Suggests: testthat (>= 3.0.0), spelling
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-07-31 00:37:26 UTC; shanpengli
Author: Shanpeng Li [aut, cre], Gang Li [ctb]
Repository: CRAN
Date/Publication: 2024-07-31 05:50:06 UTC

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Package ModTools updated to version 0.9.12 with previous version 0.9.6 dated 2024-01-23

Title: Tools for Building Regression and Classification Models
Description: Collection of tools for regression and classification tasks. The package implements a consistent user interface to the most popular regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, and complements it with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.
Author: Andri Signorell [aut, cre], Bernhard Compton [ctb], Marcel Dettling [ctb], Alexandre Hainard [ctb], Max Kuhn [ctb], Frederique Lisacek [ctb], Michal Majka [ctb], Markus Mueller [ctb], Dan Putler [ctb], Jean-Charles Sanchez [ctb], Natalia Tiberti [ctb] [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>

Diff between ModTools versions 0.9.6 dated 2024-01-23 and 0.9.12 dated 2024-07-31

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Package tinyplot updated to version 0.2.0 with previous version 0.1.0 dated 2024-06-20

Title: Lightweight Extension of the Base R Graphics System
Description: Lightweight extension of the base R graphics system, with support for automatic legends, facets, and various other enhancements.
Author: Grant McDermott [aut, cre] , Vincent Arel-Bundock [aut] , Achim Zeileis [aut] , Etienne Bacher [ctb]
Maintainer: Grant McDermott <gmcd@amazon.com>

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New package BioTIMEr with initial version 0.2.3
Package: BioTIMEr
Title: Tools to Use and Explore the 'BioTIME' Database
Version: 0.2.3
Maintainer: Alban Sagouis <alban.sagouis@idiv.de>
License: MIT + file LICENSE
URL: https://github.com/bioTIMEHub/BioTIMEr
BugReports: https://github.com/bioTIMEHub/BioTIMEr/issues
Description: The 'BioTIME' database was first published in 2018 and inspired ideas, questions, project and research article. To make it even more accessible, an R package was created. The 'BioTIMEr' package provides tools designed to interact with the 'BioTIME' database. The functions provided include the 'BioTIME' recommended methods for preparing (gridding and rarefaction) time series data, a selection of standard biodiversity metrics (including species richness, numerical abundance and exponential Shannon) alongside examples on how to display change over time. It also includes a sample subset of both the query and meta data, the full versions of which are freely available on the 'BioTIME' website <https://biotime.st-andrews.ac.uk/home.php>.
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, ggplot2, vegan, dggridR (>= 3.1.0), checkmate
Suggests: maps, knitr, rmarkdown, formatR, testthat (>= 3.0.0), vdiffr
Language: en-GB
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-30 14:27:39 UTC; as80fywe
Author: Alban Sagouis [aut, cre] , Faye Moyes [aut] , Ines S. Martins [aut, rev] , Shane A. Blowes [ctb] , Viviana Brambilla [ctb] , Cher F. Y. Chow [ctb] , Ada Fontrodona-Eslava [ctb] , Laura Antao [ctb, rev] , Jonathan M. Chase [fnd] , Maria Dornelas [fnd, [...truncated...]
Repository: CRAN
Date/Publication: 2024-07-31 04:50:02 UTC

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