Sat, 23 Sep 2023

Package UKFE updated to version 0.3.0 with previous version 0.2.9 dated 2023-07-09

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 12. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Proposal of the extreme rank plot for extreme value analysis: with an emphasis on flood frequency studies", Hammond (2019, <doi:10.2166/nh.2019.157>). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood est [...truncated...]
Author: Anthony Hammond
Maintainer: Anthony Hammond <agqhammond@gmail.com>

Diff between UKFE versions 0.2.9 dated 2023-07-09 and 0.3.0 dated 2023-09-23

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New package SNSFdatasets with initial version 0.1.0
Package: SNSFdatasets
Title: Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)
Version: 0.1.0
Date: 2023-09-22
Description: Download and read datasets from the Swiss National Science Foundation (SNF, FNS, SNSF; <https://snf.ch>). The package is lightweight and without dependencies. Downloaded data can optionally be cached, to avoid repeated downloads of the same files. There are also utilities for comparing different versions of datasets, i.e. to report added, removed and changed entries.
License: GPL-3
URL: http://enricoschumann.net/R/packages/SNSFdatasets/ , https://git.sr.ht/~enricoschumann/SNSFdatasets , https://github.com/enricoschumann/SNSFdatasets
LazyLoad: yes
ByteCompile: yes
NeedsCompilation: no
Packaged: 2023-09-22 14:34:59 UTC; es19
Author: Silvia Martens [ctb] , Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>
Repository: CRAN
Date/Publication: 2023-09-23 15:10:02 UTC

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New package occumb with initial version 1.0.1
Package: occumb
Title: Site Occupancy Modeling for Environmental DNA Metabarcoding
Version: 1.0.1
Description: Fits multispecies site occupancy models to environmental DNA metabarcoding data collected using spatially-replicated survey design. Model fitting results can be used to evaluate and compare the effectiveness of species detection to find an efficient survey design. Reference: Fukaya et al. (2022) <doi:10.1111/2041-210X.13732>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, spelling, testthat (>= 3.0.0)
Imports: stats, methods, graphics, checkmate, crayon, knitr
URL: https://fukayak.github.io/occumb/, https://github.com/fukayak/occumb
Depends: jagsUI, R (>= 2.10)
VignetteBuilder: knitr
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
BugReports: https://github.com/fukayak/occumb/issues
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-22 15:14:48 UTC; kfukaya
Author: Keiichi Fukaya [aut, cre]
Maintainer: Keiichi Fukaya <fukayak99@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-23 15:20:02 UTC

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New package MGPSDK with initial version 1.0.0
Package: MGPSDK
Title: Interact with the Maxar 'MGP' Application Programming Interfaces
Version: 1.0.0
Description: Provides an interface to the Maxar Geospatial Platform (MGP) Application Programming Interface. <https://www.maxar.com/maxar-geospatial-platform> It facilitates imagery searches using the MGP Streaming Application Programming Interface via the Web Feature Service (WFS) method, and supports image downloads through Web Map Service (WMS) and Web Map Tile Service (WMTS) Open Geospatial Consortium (OGC) methods. Additionally, it integrates with the Maxar Geospatial Platform Basemaps Application Programming Interface for accessing Maxar basemaps imagery and seamlines. The package also offers seamless integration with the Maxar Geospatial Platform Discovery Application Programming Interface, allowing users to search, filter, and sort Maxar content, while retrieving detailed metadata in formats like SpatioTemporal Asset Catalog (STAC) and GeoJSON.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6, reticulate
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-09-22 16:15:22 UTC; ncarr
Author: Nathan Carr [aut, cre, cph]
Maintainer: Nathan Carr <nathan.carr@maxar.com>
Repository: CRAN
Date/Publication: 2023-09-23 15:20:10 UTC

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New package LAIr with initial version 0.1.0
Package: LAIr
Title: Converting NDVI to LAI of Field, Proximal and Satellite Data
Version: 0.1.0
Maintainer: Francesco Chianucci <fchianucci@gmail.com>
Description: Convert Leaf Area Index (LAI) from the Normalized Difference Vegetation Index (NDVI) using available equations from literature. Detailed description of conversion equations in Bajocco et al. 2022 <doi:10.3390/rs14153554>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, purrr, stringr, terra
NeedsCompilation: no
Packaged: 2023-09-22 13:23:43 UTC; francescochianucci
Author: Francesco Chianucci [aut, cre] , Francesco Savian [aut], Carlotta Ferrara [aut] , Fabrizio Ginaldi [aut], Nicola Puletti [aut] , Simone Bregaglio [aut] , Sofia Bajocco [aut]
Repository: CRAN
Date/Publication: 2023-09-23 15:10:04 UTC

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Package dann updated to version 1.0.0 with previous version 0.2.6 dated 2022-02-14

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between dann versions 0.2.6 dated 2022-02-14 and 1.0.0 dated 2023-09-23

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New package JointFPM with initial version 1.0.0
Package: JointFPM
Title: A Parametric Model for Estimating the Mean Number of Events
Version: 1.0.0
Date: 2023-09-19
Description: Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.
URL: https://github.com/entjos/JointFPM
BugReports: https://github.com/entjos/JointFPM/issues
License: CC BY 4.0
Encoding: UTF-8
Imports: rstpm2 (>= 1.5.2), survival (>= 3.2-13), data.table (>= 1.14.2), rlang (>= 1.1.0), lifecycle, rmutil
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2023-09-22 08:24:43 UTC; josent
Author: Joshua P. Entrop [aut, cre, cph] , Alessandro Gasparini [ctb], Mark Clements [ctb]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>
Repository: CRAN
Date/Publication: 2023-09-23 14:50:02 UTC

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New package cookiemonster with initial version 0.0.1
Package: cookiemonster
Title: Your Friendly Solution to Managing Browser Cookies
Version: 0.0.1
Description: A convenient tool to store and format browser cookies and use them in 'HTTP' requests (for example, through 'httr2', 'httr' or 'curl').
License: GPL (>= 3)
Encoding: UTF-8
Suggests: curl, knitr, rmarkdown, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Imports: cli, openssl, rappdirs, stringi, tibble, urltools, vctrs
Language: en-GB
NeedsCompilation: no
Packaged: 2023-09-22 11:59:02 UTC; johannes
Author: Johannes B. Gruber [aut, cre]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-23 15:00:02 UTC

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Package kernelshap updated to version 0.3.8 with previous version 0.3.7 dated 2023-05-17

Title: Kernel SHAP
Description: Efficient implementation of Kernel SHAP, see Lundberg and Lee (2017), and Covert and Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. For models with up to eight features, the results are exact regarding the selected background data. Otherwise, an almost exact hybrid algorithm involving iterative sampling is used. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
Author: Michael Mayer [aut, cre], David Watson [aut], Przemyslaw Biecek [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between kernelshap versions 0.3.7 dated 2023-05-17 and 0.3.8 dated 2023-09-23

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Package GeoModels updated to version 1.1.3 with previous version 1.1.2 dated 2023-09-08

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) simulation and inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associ [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 1.1.2 dated 2023-09-08 and 1.1.3 dated 2023-09-23

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Package skmeans updated to version 0.2-16 with previous version 0.2-15 dated 2023-01-31

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] , Ingo Feinerer [aut] , Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between skmeans versions 0.2-15 dated 2023-01-31 and 0.2-16 dated 2023-09-23

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Package clue updated to version 0.3-65 with previous version 0.3-64 dated 2023-01-31

Title: Cluster Ensembles
Description: CLUster Ensembles.
Author: Kurt Hornik [aut, cre] , Walter Boehm [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package gmat (with last version 0.2.2) was removed from CRAN

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

2020-08-29 0.2.2
2019-09-13 0.2.1
2018-12-03 0.2.0
2018-07-19 0.1.0

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Package funkyheatmap updated to version 0.5.0 with previous version 0.4.0 dated 2023-08-29

Title: Generating Funky Heatmaps for Data Frames
Description: Allows generating heatmap-like visualisations for benchmark data frames. Funky heatmaps can be fine-tuned by providing annotations of the columns and rows, which allows assigning multiple palettes or geometries or grouping rows and columns together in categories. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package radiant.multivariate updated to version 1.6.1 with previous version 1.6.0 dated 2023-09-11

Title: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.multivariate versions 1.6.0 dated 2023-09-11 and 1.6.1 dated 2023-09-23

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Package halk updated to version 0.0.4 with previous version 0.0.3 dated 2023-07-07

Title: Methods to Create Hierarchical Age Length Keys for Age Assignment
Description: Provides methods for implementing hierarchical age length keys to estimate fish ages from lengths using data borrowing. Users can create hierarchical age length keys and use them to assign ages given length.
Author: Paul Frater [aut, cre]
Maintainer: Paul Frater <paul.frater@wisconsin.gov>

Diff between halk versions 0.0.3 dated 2023-07-07 and 0.0.4 dated 2023-09-23

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Fri, 22 Sep 2023

Package walkboutr updated to version 0.2.0 with previous version 0.1.0 dated 2023-06-08

Title: Generate Walk Bouts from GPS and Accelerometry Data
Description: Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.
Author: Lauren Blair Wilner [aut, cre, cph] , Stephen J Mooney [aut]
Maintainer: Lauren Blair Wilner <wilnerl@uw.edu>

Diff between walkboutr versions 0.1.0 dated 2023-06-08 and 0.2.0 dated 2023-09-22

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New package Rpadrino with initial version 0.0.5
Package: Rpadrino
Title: Interact with the 'PADRINO' IPM Database
Version: 0.0.5
Description: 'PADRINO' houses textual representations of Integral Projection Models which can be converted from their table format into full kernels to reproduce or extend an already published analysis. 'Rpadrino' is an R interface to this database. For more information on Integral Projection Models, see Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. See Levin et al. (2021) for more information on 'ipmr', the engine that powers model reconstruction <doi:10.1111/2041-210X.13683>.
Depends: R (>= 3.4.0), ipmr (>= 0.0.5)
Imports: curl, ggplot2, magrittr, mvtnorm, purrr, rlang (>= 0.3.0), rmarkdown, tools, truncdist, utils
SystemRequirements: libcurl: libcurl-devel (rpm) or libcurl4-openssl-dev (deb).
License: GPL-3
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/padrinoDB/Rpadrino/issues
URL: https://github.com/padrinoDB/Rpadrino, https://padrinoDB.github.io/Rpadrino/
Suggests: covr, knitr, maps, roxygen2, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-22 20:03:42 UTC; sl13sise
Author: Sam Levin [aut, cre] , Aldo Compagnoni [aut], Dylan Childs [aut], Sanne Evers [aut], Tomos Potter [aut], Roberto Salguero-Gomez [aut], Tiffany Knight [aut]
Maintainer: Sam Levin <levisc8@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-22 22:40:02 UTC

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Package phylosem updated to version 1.0.2 with previous version 1.0.1 dated 2023-09-19

Title: Phylogenetic Structural Equation Model
Description: Applies phylogenetic comparative methods (PCM) and phylogenetic trait imputation using structural equation models (SEM), extending methods from Thorson et al. (2023) <doi:10.1111/2041-210X.14076>. This implementation includes a minimal set of features, to allow users to easily read all of the documentation and source code. PCM using SEM includes phylogenetic linear models and structural equation models as nested submodels, but also allows imputation of missing values. Features and comparison with other packages are described in Thorson and van der Bijl (In revisions).
Author: James Thorson [aut, cre] , Wouter van der Bijl [ctb]
Maintainer: James Thorson <James.Thorson@noaa.gov>

Diff between phylosem versions 1.0.1 dated 2023-09-19 and 1.0.2 dated 2023-09-22

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Package OmicSense updated to version 0.2.0 with previous version 0.1.1 dated 2023-04-26

Title: Biosensor Development using Omics Data
Description: A method for the quantitative prediction using omics data. This package provides functions to construct the quantitative prediction model using omics data.
Author: Takahiko Koizumi [aut, cre], Kenta Suzuki [ctb], Yasunori Ichihashi [ctb]
Maintainer: Takahiko Koizumi <takahiko.koizumi@gmail.com>

Diff between OmicSense versions 0.1.1 dated 2023-04-26 and 0.2.0 dated 2023-09-22

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Package ggseqplot updated to version 0.8.3 with previous version 0.8.2 dated 2023-03-15

Title: Render Sequence Plots using 'ggplot2'
Description: A set of wrapper functions that mainly re-produces most of the sequence plots rendered with TraMineR::seqplot(). Whereas 'TraMineR' uses base R to produce the plots this library draws on 'ggplot2'. The plots are produced on the basis of a sequence object defined with TraMineR::seqdef(). The package automates the reshaping and plotting of sequence data. Resulting plots are of class 'ggplot', i.e. components can be added and tweaked using '+' and regular 'ggplot2' functions.
Author: Marcel Raab [aut, cre]
Maintainer: Marcel Raab <marcel.raab@gmail.com>

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Package geostatsp updated to version 2.0.1 with previous version 2.0.0 dated 2023-09-22

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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Package RchivalTag updated to version 0.1.7 with previous version 0.1.6 dated 2023-09-12

Title: Analyzing and Interactive Visualization of Archival Tagging Data
Description: A set of functions to generate, access and analyze standard data products from archival tagging data.
Author: Robert K. Bauer
Maintainer: Robert K. Bauer <rkbauer@hawaii.edu>

Diff between RchivalTag versions 0.1.6 dated 2023-09-12 and 0.1.7 dated 2023-09-22

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Package consort updated to version 1.2.1 with previous version 1.2.0 dated 2023-04-11

Title: Create Consort Diagram
Description: To make it easy to create CONSORT diagrams for the transparent reporting of participant allocation in randomized, controlled clinical trials. This is done by creating a standardized disposition data, and using this data as the source for the creation a standard CONSORT diagram. Human effort by supplying text labels on the node can also be achieved.
Author: Alim Dayim [aut, cre]
Maintainer: Alim Dayim <ad938@cam.ac.uk>

Diff between consort versions 1.2.0 dated 2023-04-11 and 1.2.1 dated 2023-09-22

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Package RcppColors updated to version 0.5.0 with previous version 0.4.0 dated 2023-08-25

Title: Color Mappings and 'C++' Header Files for Color Conversion
Description: Provides 'C++' header files to deal with color conversion from some color spaces to hexadecimal with 'Rcpp', and exports some color mapping functions for usage in R. Also exports functions to convert colors from the 'HSLuv' color space for usage in R. 'HSLuv' is a human-friendly alternative to HSL.
Author: Stephane Laurent [cre, aut], Scott Spencer [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package colorednoise updated to version 1.1.1 with previous version 1.1.0 dated 2020-08-05

Title: Simulate Temporally Autocorrelated Populations
Description: Temporally autocorrelated populations are correlated in their vital rates (growth, death, etc.) from year to year. It is very common for populations, whether they be bacteria, plants, or humans, to be temporally autocorrelated. This poses a challenge for stochastic population modeling, because a temporally correlated population will behave differently from an uncorrelated one. This package provides tools for simulating populations with white noise (no temporal autocorrelation), red noise (positive temporal autocorrelation), and blue noise (negative temporal autocorrelation). The algebraic formulation for autocorrelated noise comes from Ruokolainen et al. (2009) <doi:10.1016/j.tree.2009.04.009>. Models for unstructured populations and for structured populations (matrix models) are available.
Author: July Pilowsky [aut, cre]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>

Diff between colorednoise versions 1.1.0 dated 2020-08-05 and 1.1.1 dated 2023-09-22

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Package varTestnlme updated to version 1.3.5 with previous version 1.3.4 dated 2023-05-28

Title: Variance Components Testing for Linear and Nonlinear Mixed Effects Models
Description: An implementation of the Likelihood ratio Test (LRT) for testing that, in a (non)linear mixed effects model, the variances of a subset of the random effects are equal to zero. There is no restriction on the subset of variances that can be tested: for example, it is possible to test that all the variances are equal to zero. Note that the implemented test is asymptotic. This package should be used on model fits from packages 'nlme', 'lmer', and 'saemix'. Charlotte Baey and Estelle Kuhn (2019) <doi:10.18637/jss.v107.i06>.
Author: Charlotte Baey [aut, cre] , Estelle Kuhn [aut]
Maintainer: Charlotte Baey <charlotte.baey@univ-lille.fr>

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New package WALS with initial version 0.2.3
Package: WALS
Version: 0.2.3
Date: 2023-09-20
Title: Weighted-Average Least Squares Model Averaging
Depends: R (>= 4.0.0)
Imports: Formula (>= 1.2-3), MASS (>= 7.3-51.6), methods, Rdpack(>= 2.1.3), stats
Suggests: AER, BayesVarSel, BMS, testthat (>= 3.1.10)
Description: Implements the Weighted-Average Least Squares method for model averaging of negative binomial regression models of Huynh (2023) (mimeo), generalized linear models of De Luca, Magnus, Peracchi (2018) <doi:10.1016/j.jeconom.2017.12.007> and linear regression models of Magnus, Powell, Pruefer (2010) <doi:10.1016/j.jeconom.2009.07.004>, see also Magnus, De Luca (2016) <doi:10.1111/joes.12094>. Weighted-Average Least Squares for the linear regression model is based on the original 'MATLAB' code by Magnus and De Luca <https://www.janmagnus.nl/items/WALS.pdf>, see also Kumar, Magnus (2013) <doi:10.1007/s13571-013-0060-9> and De Luca, Magnus (2011) <doi:10.1177/1536867X1201100402>.
License: GPL-2 | GPL-3
URL: https://github.com/kevhuy/WALS
BugReports: https://github.com/kevhuy/WALS/issues
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-09-21 15:09:04 UTC; huykev00
Author: Kevin Huynh [aut, cre]
Maintainer: Kevin Huynh <Kevin.Huynh@unibas.ch>
Repository: CRAN
Date/Publication: 2023-09-22 15:30:02 UTC

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New package tectonicr with initial version 0.2.93
Package: tectonicr
Title: Analyzing the Orientation of Maximum Horizontal Stress
Version: 0.2.93
Description: Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.
License: GPL (>= 3)
URL: https://tobiste.github.io/tectonicr/
BugReports: https://github.com/tobiste/tectonicr/issues
Depends: R (>= 4.1.0)
Imports: boot, dplyr, ggplot2, methods, RColorBrewer, sf, smoothr, spatstat.explore, terra, tidyr, viridis, zoo
Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-09-21 21:42:31 UTC; tstephan
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>
Repository: CRAN
Date/Publication: 2023-09-22 16:00:02 UTC

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New package statConfR with initial version 0.0.1
Package: statConfR
Title: Models of Decision Confidence and Metacognition
Version: 0.0.1
Date: 2023-09-11
Maintainer: Manuel Rausch <manuel.rausch@hochschule-rhein-waal.de>
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:10.31234/osf.io/kdz34>.
License: GPL (>= 3)
URL: https://github.com/ManuelRausch/StatConfR
BugReports: https://github.com/ManuelRausch/StatConfR
Depends: R (>= 4.0)
Imports: parallel
Date/Publication: 2023-09-22 15:50:02 UTC
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-09-21 19:21:29 UTC; MRU
Repository: CRAN
Author: Manuel Rausch [aut, cre] , Sebastian Hellmann [aut]

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New package simitation with initial version 0.0.7
Package: simitation
Title: Simplified Simulations
Version: 0.0.7
Depends: R (>= 3.1.0)
Description: Provides tools for generating and analyzing simulation studies. Users may easily specify all terms of a simulation study, often in a single line of code. Common univariate and bivariate methods, such as t tests, proportions tests, and chi squared tests, are integrated. Multivariate studies involving linear or logistic regression may also be specified with symbolic inputs. The simulation studies generate data for n observations in each of B experiments. Analyses of each experiment are integrated, and empirical results across the experiments are also provided.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, covr, devtools, markdown, formatR, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: data.table
NeedsCompilation: no
Author: David Shilane [aut], Srivastav Budugutta [ctb, cre], Mayur Bansal [ctb]
Maintainer: Srivastav Budugutta <sb4788@columbia.edu>
Repository: CRAN
Packaged: 2023-09-21 18:53:47 UTC; sriva
Date/Publication: 2023-09-22 16:00:07 UTC

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Package ExactMed updated to version 0.3.0 with previous version 0.2.0 dated 2023-03-19

Title: Exact Mediation Analysis for Binary Outcomes
Description: A tool for conducting exact parametric regression-based causal mediation analysis of binary outcomes as described in Samoilenko, Blais and Lefebvre (2018) <doi:10.1353/obs.2018.0013>; Samoilenko, Lefebvre (2021) <doi:10.1093/aje/kwab055>; and Samoilenko, Lefebvre (2023) <doi:10.1002/sim.9621>.
Author: Miguel Caubet [aut, cre], Mariia Samoilenko [aut], Jesse Gervais [aut], Genevieve Lefebvre [aut]
Maintainer: Miguel Caubet <miguelcaubet@gmail.com>

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New package CovRegRF with initial version 1.0.4
Package: CovRegRF
Title: Covariance Regression with Random Forests
Version: 1.0.4
Description: Covariance Regression with Random Forests ('CovRegRF') is a random forest method for estimating the covariance matrix of a multivariate response given a set of covariates. Random forest trees are built with a new splitting rule which is designed to maximize the distance between the sample covariance matrix estimates of the child nodes. The method is described in Alakus et al. (2023) <doi:10.1186/s12859-023-05377-y>. 'CovRegRF' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2022) <https://cran.r-project.org/package=randomForestSRC> by freezing at the version 3.1.0. The custom splitting rule feature is utilised to apply the proposed splitting rule. 'LAPACK' and 'BLAS' libraries are used for matrix decompositions. The 'CovRegRF' package includes the header files 'lapacke.h' and 'cblas.h' from the 'LAPACK' and 'BLAS' libraries. The 'LAPACK' library is licensed under modified BSD license.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, data.tree, DiagrammeR
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-09-21 18:54:52 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2023-09-22 15:40:06 UTC

More information about CovRegRF at CRAN
Permanent link

Package condir updated to version 0.1.4 with previous version 0.1.3 dated 2020-12-01

Title: Computation of P Values and Bayes Factors for Conditioning Data
Description: Set of functions for the easy analyses of conditioning data.
Author: Angelos-Miltiadis Krypotos [aut, cre]
Maintainer: Angelos-Miltiadis Krypotos <amkrypotos@gmail.com>

Diff between condir versions 0.1.3 dated 2020-12-01 and 0.1.4 dated 2023-09-22

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New package cloneRate with initial version 0.2.3
Package: cloneRate
Title: Estimate Growth Rates from Phylogenetic Trees
Version: 0.2.3
Description: Quickly estimate the net growth rate of a population or clone whose growth can be approximated by a birth-death branching process. Input should be phylogenetic tree(s) of clone(s) with edge lengths corresponding to either time or mutations. Based on coalescent results in Johnson et al. (2023) <doi:10.1093/bioinformatics/btad561>. Simulation techniques as well as growth rate methods build on prior work from Lambert A. (2018) <doi:10.1016/j.tpb.2018.04.005> and Stadler T. (2009) <doi:10.1016/j.jtbi.2009.07.018>.
License: MIT + file LICENSE
NeedsCompilation: yes
URL: https://github.com/bdj34/cloneRate, https://bdj34.github.io/cloneRate/
BugReports: https://github.com/bdj34/cloneRate/issues
Depends: R (>= 3.6.0)
Imports: ape (>= 4.0), methods, Rcpp (>= 0.12.0), Rmpfr (>= 0.8), rstan (>= 2.18.1), rstantools (>= 2.3.1)
Suggests: car, covr, ggplot2, ggsurvfit, knitr, parallel, rmarkdown, survival, testthat (>= 3.0.0)
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)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Biarch: true
SystemRequirements: GNU make
Packaged: 2023-09-21 17:39:04 UTC; apple
Author: Brian Johnson [cre, aut, cph] , Yubo Shuai [aut, cph], Jason Schweinsberg [aut, cph] , Kit Curtius [aut, cph]
Maintainer: Brian Johnson <brian.d.johnson97@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-22 15:40:02 UTC

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New package CAMAN with initial version 0.78
Package: CAMAN
Version: 0.78
Date: 2023-09-19
Title: Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN
Author: Peter Schlattmann <peter.schlattmann@mti.uni-jena.de>, Johannes Hoehne, Maryna Verba
Maintainer: Philipp Doebler <philipp.doebler@googlemail.com>
Description: Tools for the analysis of finite semiparametric mixtures. These are useful when data is heterogeneous, e.g. in pharmacokinetics or meta-analysis. The NPMLE and VEM algorithms (flexible support size) and EM algorithms (fixed support size) are provided for univariate (Bohning et al., 1992; <doi:10.2307/2532756>) and bivariate data (Schlattmann et al., 2015; <doi:10.1016/j.jclinepi.2014.08.013>).
Depends: R (>= 2.10), methods, sp, mvtnorm
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-09-19 09:11:33 UTC; doebler
Repository: CRAN
Date/Publication: 2023-09-22 15:10:09 UTC

More information about CAMAN at CRAN
Permanent link

Package tigris updated to version 2.0.4 with previous version 2.0.3 dated 2023-05-19

Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.
Author: Kyle Walker [aut, cre], Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tigris versions 2.0.3 dated 2023-05-19 and 2.0.4 dated 2023-09-22

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Package mcompanion updated to version 0.5.8 with previous version 0.5.7 dated 2023-06-13

Title: Objects and Methods for Multi-Companion Matrices
Description: Provides a class for multi-companion matrices with methods for arithmetic and factorization. A method for generation of multi-companion matrices with prespecified spectral properties is provided, as well as some utilities for periodically correlated and multivariate time series models. See Boshnakov (2002) <doi:10.1016/S0024-3795(01)00475-X> and Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package timetk updated to version 2.8.4 with previous version 2.8.3 dated 2023-03-30

Title: A Tool Kit for Working with Time Series
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between timetk versions 2.8.3 dated 2023-03-30 and 2.8.4 dated 2023-09-22

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 timetk-2.8.4/timetk/R/data-fang.R                                                           |   38 
 timetk-2.8.4/timetk/R/data-m4_daily.R                                                       |   44 
 timetk-2.8.4/timetk/R/data-m4_hourly.R                                                      |   44 
 timetk-2.8.4/timetk/R/data-m4_monthly.R                                                     |   44 
 timetk-2.8.4/timetk/R/data-m4_quarterly.R                                                   |   44 
 timetk-2.8.4/timetk/R/data-m4_weekly.R                                                      |   46 
 timetk-2.8.4/timetk/R/data-m4_yearly.R                                                      |   46 
 timetk-2.8.4/timetk/R/data-taylor_30_min.R                                                  |   40 
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 timetk-2.8.4/timetk/R/dplyr-add_time.R                                                      |  422 +-
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 timetk-2.8.4/timetk/R/dplyr-future_frame.R                                                  |  526 +-
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 timetk-2.8.4/timetk/R/dplyr-pad_by_time.R                                                   |  618 +-
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Package RMixtCompUtilities updated to version 4.1.6 with previous version 4.1.5 dated 2023-06-14

Title: Utility Functions for 'MixtComp' Outputs
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. This package contains graphical, getter and some utility functions to facilitate the analysis of 'MixtComp' output.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [aut], Étienne Goffinet [ctb], Serge Iovleff [ctb], Julien Vandaele [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

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Package accumulate updated to version 0.9.3 with previous version 0.9.0 dated 2023-03-03

Title: Split-Apply-Combine with Dynamic Groups
Description: Estimate group aggregates, where one can set user-defined conditions that each group of records must satisfy to be suitable for aggregation. If a group of records is not suitable, it is expanded using a collapsing scheme defined by the user.
Author: Mark van der Loo [aut, cre]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between accumulate versions 0.9.0 dated 2023-03-03 and 0.9.3 dated 2023-09-22

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New package spldv with initial version 0.1.2
Package: spldv
Title: Spatial Models for Limited Dependent Variables
Version: 0.1.2
Date: 2023-9-21
Description: The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects.
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Formula, Matrix, maxLik, stats, sphet, memisc, car, methods, numDeriv, MASS, spatialreg
Suggests: spdep
License: GPL (>= 2)
URL: https://github.com/gpiras/spldv
BugReports: https://github.com/gpiras/spldv/issues
NeedsCompilation: no
Packaged: 2023-09-21 20:59:34 UTC; mauriciosarrias
Author: Mauricio Sarrias [aut, cre] , Gianfranco Piras [aut] , Daniel McMillen [ctb]
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-22 12:00:02 UTC

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Package pedquant updated to version 0.2.3 with previous version 0.2.2.1 dated 2023-05-05

Title: Public Economic Data and Quantitative Analysis
Description: Provides an interface to access public economic and financial data for economic research and quantitative analysis. The data sources including NBS, FRED, Sina, Eastmoney and etc. It also provides quantitative functions for trading strategies based on the 'data.table', 'TTR', 'PerformanceAnalytics' and etc packages.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

Diff between pedquant versions 0.2.2.1 dated 2023-05-05 and 0.2.3 dated 2023-09-22

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Package gnonadd updated to version 1.0.2 with previous version 1.0.1 dated 2023-09-04

Title: Various Non-Additive Models for Genetic Associations
Description: The goal of 'gnonadd' is to simplify workflows in the analysis of non-additive effects of sequence variants. This includes variance effects (Ivarsdottir et. al (2017) <doi:10.1038/ng.3928>), correlation effects, interaction effects and dominance effects. The package also includes convenience functions for visualization.
Author: Audunn S. Snaebjarnarson [aut, cre, ctb], Gudmundur Einarsson [aut, ctb], Daniel F. Gudbjartsson [aut, ctb], deCODE Genetics/AMGEN [cph, fnd]
Maintainer: Audunn S. Snaebjarnarson <audunn.snaebjarnarson@decode.is>

Diff between gnonadd versions 1.0.1 dated 2023-09-04 and 1.0.2 dated 2023-09-22

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Package easy.utils updated to version 0.0.2 with previous version 0.0.1 dated 2023-08-16

Title: Frequently Used Functions for Easy R Programming
Description: Some utility functions for validation, data manipulation or color palettes. These functions can be helpful to reduce internal codes everywhere in package development.
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <ycli1995@outlook.com>

Diff between easy.utils versions 0.0.1 dated 2023-08-16 and 0.0.2 dated 2023-09-22

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Package arrow updated to version 13.0.0.1 with previous version 13.0.0 dated 2023-08-30

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut, cre], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Javier Luraschi [ctb], Karl Dunkle Werner [ctb] , Jeffrey Wong [ctb [...truncated...]
Maintainer: Nic Crane <thisisnic@gmail.com>

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Package REPPlabShiny updated to version 0.4.2 with previous version 0.4.1 dated 2020-11-03

Title: 'REPPlab' via a Shiny Application
Description: Performs exploratory projection pursuit via 'REPPlab' (Daniel Fischer, Alain Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019) <doi:10.1080/03610918.2019.1626880>) using a Shiny app.
Author: Thomas Janka [aut], Klaus Nordhausen [cre, aut] , Anne Ruiz-Gazen [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

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Package oosse updated to version 1.0.10 with previous version 1.0.8 dated 2023-08-30

Title: Out-of-Sample R² with Standard Error Estimation
Description: Estimates out-of-sample R² through bootstrap or cross-validation as a measure of predictive performance. In addition, a standard error for this point estimate is provided, and confidence intervals are constructed.
Author: Stijn Hawinkel [cre, aut]
Maintainer: Stijn Hawinkel <stijn.hawinkel@psb.ugent.be>

Diff between oosse versions 1.0.8 dated 2023-08-30 and 1.0.10 dated 2023-09-22

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Package lakemorpho updated to version 1.3.2 with previous version 1.3.0 dated 2023-09-15

Title: Lake Morphometry Metrics
Description: Lake morphometry metrics are used by limnologists to understand, among other things, the ecological processes in a lake. Traditionally, these metrics are calculated by hand, with planimeters, and increasingly with commercial GIS products. All of these methods work; however, they are either outdated, difficult to reproduce, or require expensive licenses to use. The 'lakemorpho' package provides the tools to calculate a typical suite of these metrics from an input elevation model and lake polygon. The metrics currently supported are: fetch, major axis, minor axis, major/minor axis ratio, maximum length, maximum width, mean width, maximum depth, mean depth, shoreline development, shoreline length, surface area, and volume.
Author: Jeffrey W. Hollister [aut, cre] , Jemma Stachelek [aut]
Maintainer: Jeffrey W. Hollister <hollister.jeff@epa.gov>

Diff between lakemorpho versions 1.3.0 dated 2023-09-15 and 1.3.2 dated 2023-09-22

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Package gRbase updated to version 2.0.0 with previous version 1.9.0 dated 2023-09-01

Title: A Package for Graphical Modelling in R
Description: The 'gRbase' package provides graphical modelling features used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements graph algorithms including (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralization, (iii) triangulation, (iv) creation of junction tree. 'gRbase' facilitates array operations, 'gRbase' implements functions for testing for conditional independence. 'gRbase' illustrates how hierarchical log-linear models may be implemented and describes concept of graphical meta data. The facilities of the package are documented in the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>) and in the paper by Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>). Please see 'citation("gRbase")' for citation details.
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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New package geostatsp with initial version 2.0.0
Package: geostatsp
Title: Geostatistical Modelling with Likelihood and Bayes
Version: 2.0.0
Date: 2023-09-11
Depends: Matrix, terra, R (>= 3.5.0)
Imports: abind, numDeriv, methods, stats
Suggests: RandomFields, parallel, mapmisc, ellipse, pracma, knitr
Enhances: INLA, diseasemapping, geoR, mvtnorm
LinkingTo: Matrix
Additional_repositories: https://inla.r-inla-download.org/R/testing
Description: Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.
License: GPL
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2023-09-21 20:59:52 UTC; patrick
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Repository: CRAN
Date/Publication: 2023-09-22 09:40:02 UTC

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Package R3port updated to version 0.2.5 with previous version 0.2.4 dated 2020-09-17

Title: Report Functions to Create HTML and PDF Files
Description: Create and combine HTML and PDF reports from within R. Possibility to design tables and listings for reporting and also include R plots.
Author: Richard Hooijmaijers [aut, cre], Richard Hooijmaijers [cph]
Maintainer: Richard Hooijmaijers <richardhooijmaijers@gmail.com>

Diff between R3port versions 0.2.4 dated 2020-09-17 and 0.2.5 dated 2023-09-22

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Package vdiffr updated to version 1.0.7 with previous version 1.0.6 dated 2023-08-25

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [cre, aut], Thomas Lin Pedersen [aut] , Posit Software, PBC [cph, fnd], T Jake Luciani [aut] , Matthieu Decorde [aut] , Vaudor Lise [aut] , Tony Plate [ctb] , David Gohel [ctb] , Yixuan Qiu [ctb] , Hakon Malmedal [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between vdiffr versions 1.0.6 dated 2023-08-25 and 1.0.7 dated 2023-09-22

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Package pkgload updated to version 1.3.3 with previous version 1.3.2.1 dated 2023-07-08

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

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Package piecepackr updated to version 1.13.8 with previous version 1.13.6 dated 2023-08-25

Title: Board Game Graphics
Description: Functions to make board game graphics with the 'ggplot2', 'grid', 'rayrender', 'rayvertex', and 'rgl' packages. Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems. Includes configurations for several public domain game systems such as checkers, (double-18) dominoes, go, 'piecepack', playing cards, etc.
Author: Trevor L Davis [aut, cre] , Linux Foundation [dtc] , Delapouite <https://delapouite.com/> [ill] , Creative Commons [ill] ` uses "license badges" from Creative Commons to describe the generated print-and-play file's license)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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New package NlsyLinks with initial version 2.2.1
Package: NlsyLinks
Title: Utilities and Kinship Information for Research with the NLSY
Version: 2.2.1
Description: Utilities and kinship information for behavior genetics and developmental research using the National Longitudinal Survey of Youth (NLSY; <https://www.nlsinfo.org/>).
URL: https://nlsy-links.github.io/NlsyLinks/, https://github.com/nlsy-links/NlsyLinks
BugReports: https://github.com/nlsy-links/NlsyLinks/issues
Depends: R (>= 3.5.0), stats
Imports: lavaan, methods
Suggests: covr, devtools, dplyr, spelling, ggplot2, knitr, rmarkdown, scales, testit, testthat (>= 2.0.0), xtable
License: GPL
LazyData: TRUE
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-21 20:32:22 UTC; smaso
Author: William Howard Beasley [aut] , Joseph Lee Rodgers [ctb] , David Bard [ctb], Michael D. Hunter [ctb] , Patrick O'Keefe [ctb] , Kelly Meredith Williams [ctb], S. Mason Garrison [aut, cre]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>
Repository: CRAN
Date/Publication: 2023-09-22 07:50:05 UTC

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Permanent link

Package mvMAPIT updated to version 2.0.2 with previous version 2.0.1 dated 2023-02-09

Title: Multivariate Genome Wide Marginal Epistasis Test
Description: Epistasis, commonly defined as the interaction between genetic loci, is known to play an important role in the phenotypic variation of complex traits. As a result, many statistical methods have been developed to identify genetic variants that are involved in epistasis, and nearly all of these approaches carry out this task by focusing on analyzing one trait at a time. Previous studies have shown that jointly modeling multiple phenotypes can often dramatically increase statistical power for association mapping. In this package, we present the 'multivariate MArginal ePIstasis Test' ('mvMAPIT') – a multi-outcome generalization of a recently proposed epistatic detection method which seeks to detect marginal epistasis or the combined pairwise interaction effects between a given variant and all other variants. By searching for marginal epistatic effects, one can identify genetic variants that are involved in epistasis without the need to identify the exact partners with which the variants i [...truncated...]
Author: Julian Stamp [cre, aut] , Lorin Crawford [aut]
Maintainer: Julian Stamp <julian_stamp@brown.edu>

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Package MazamaTimeSeries updated to version 0.2.15 with previous version 0.2.14 dated 2023-09-08

Title: Core Functionality for Environmental Time Series
Description: Utility functions for working with environmental time series data from known locations. The compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.
Author: Jonathan Callahan [aut, cre], Hans Martin [ctb], Eli Grosman [ctb], Roger Bivand [ctb], Sebastian Luque [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaTimeSeries versions 0.2.14 dated 2023-09-08 and 0.2.15 dated 2023-09-22

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Package malariaAtlas updated to version 1.2.0 with previous version 1.0.1 dated 2020-06-01

Title: An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'
Description: A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plotting the downloaded data.
Author: Mauricio van den Berg [aut, cre], Sarah Connor [aut], Daniel Pfeffer [aut] , Tim Lucas [aut] , Daniel May [aut] , Suzanne Keddie [aut] , Jen Rozier [aut] , Oliver Watson [aut] , Harry Gibson [aut] , Nick Golding [ctb], David Smith [ctb]
Maintainer: Mauricio van den Berg <mauricio.vandenberg@telethonkids.org.au>

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Package hdf5r.Extra updated to version 0.0.2 with previous version 0.0.1 dated 2023-09-14

Title: Extensions for 'HDF5' R Interfaces
Description: Some methods to manipulate 'HDF5' files, extending the 'hdf5r' package. Reading and writing R objects to 'HDF5' formats follow the specification of 'AnnData' <https://anndata.readthedocs.io/en/latest/fileformat-prose.html>.
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <ycli1995@outlook.com>

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Package fqar updated to version 0.4.2 with previous version 0.4.1 dated 2023-08-28

Title: Floristic Quality Assessment Tools for R
Description: Tools for downloading and analyzing floristic quality assessment data. See Freyman et al. (2015) <doi:10.1111/2041-210X.12491> for more information about floristic quality assessment and the associated database.
Author: Andrew Gard [aut, cre] , Alexia Myers [aut], Irene Luwabelwa [aut]
Maintainer: Andrew Gard <agard@lakeforest.edu>

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Package dtwSat updated to version 1.0.0 with previous version 0.2.8 dated 2022-10-11

Title: Time-Weighted Dynamic Time Warping for Satellite Image Time Series Analysis
Description: Provides a robust approach to land use mapping using multi-dimensional (multi-band) satellite image time series. By leveraging the Time-Weighted Dynamic Time Warping (TWDTW) distance metric in tandem with a 1 Nearest-Neighbor (1-NN) Classifier, this package offers functions to produce land use maps based on distinct seasonality patterns, commonly observed in the phenological cycles of vegetation. The approach is described in Maus et al. (2016) <doi:10.1109/JSTARS.2016.2517118> and Maus et al. (2019) <doi:10.18637/jss.v088.i05>. A primary advantage of TWDTW is its capability to handle irregularly sampled and noisy time series, while also requiring minimal training sets. The package includes tools for training the 1-NN-TWDTW model, visualizing temporal patterns, producing land use maps, and visualizing the results.
Author: Victor Maus [aut, cre] , Marius Appel [ctb] , Nikolas Kuschnig [ctb] , Toni Giorgino [ctb]
Maintainer: Victor Maus <vwmaus1@gmail.com>

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Package hydflood (with last version 0.5.5) was removed from CRAN

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

2023-08-21 0.5.5
2023-07-19 0.5.4
2023-03-08 0.5.3
2023-01-17 0.5.2

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Package climetrics (with last version 1.0-11) was removed from CRAN

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

2023-02-03 1.0-11

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Package palm updated to version 1.1.5 with previous version 1.1.4 dated 2020-09-25

Title: Fitting Point Process Models via the Palm Likelihood
Description: Functions to fit point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation for point process models in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit the void processes proposed by Jones-Todd et al. (2019) <DOI:10.1002/sim.8046>. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified---the data from which can conceptually be seen as a clustered point process (Stevenson, Borchers, and Fewster, 2019 <DOI:10.1111/biom.12983>). As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.
Author: Ben Stevenson <ben.stevenson@auckland.ac.nz>
Maintainer: Ben Stevenson <ben.stevenson@auckland.ac.nz>

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Thu, 21 Sep 2023

Package smacpod updated to version 2.6 with previous version 2.5 dated 2022-11-17

Title: Statistical Methods for the Analysis of Case-Control Point Data
Description: Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.
Author: Joshua French [aut, cre]
Maintainer: Joshua French <joshua.french@ucdenver.edu>

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Package BayesFactor updated to version 0.9.12-4.5 with previous version 0.9.12-4.4 dated 2022-07-05

Title: Computation of Bayes Factors for Common Designs
Description: A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
Author: Richard D. Morey [aut, cre, cph], Jeffrey N. Rouder [aut], Tahira Jamil [ctb, cph], Simon Urbanek [ctb, cph], Karl Forner [ctb, cph], Alexander Ly [ctb, cph]
Maintainer: Richard D. Morey <richarddmorey@gmail.com>

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Package survstan updated to version 0.0.4 with previous version 0.0.3 dated 2023-08-09

Title: Fitting Survival Regression Models via 'Stan'
Description: Parametric survival regression models under the maximum likelihood approach via 'Stan'. Implemented regression models include accelerated failure time models, proportional hazards models, proportional odds models, accelerated hazard models, and Yang and Prentice models. Available baseline survival distributions include exponential, Weibull, log-normal, log-logistic, and fatigue (Birnbaum-Saunders) distributions. References: Lawless (2002) <ISBN:9780471372158>; Bennett (1982) <doi:10.1002/sim.4780020223>; Chen and Wang(2000) <doi:10.1080/01621459.2000.10474236>; Demarqui and Mayrink (2021) <doi:10.1214/20-BJPS471>.
Author: Fabio Demarqui [aut, cre, cph]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

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Package prqlr updated to version 0.5.3 with previous version 0.5.2 dated 2023-09-11

Title: R Bindings for the 'prql-compiler' Rust Library
Description: Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.
Author: Tatsuya Shima [aut, cre], Authors of the dependency Rust crates [aut]
Maintainer: Tatsuya Shima <ts1s1andn@gmail.com>

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Package isotracer updated to version 1.1.5 with previous version 1.1.4 dated 2023-03-21

Title: Isotopic Tracer Analysis Using MCMC
Description: Implements Bayesian models to analyze data from tracer addition experiments. The implemented method was originally described in the article "A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020) <doi:10.1086/708546>.
Author: Andres Lopez-Sepulcre [aut] , Matthieu Bruneaux [aut, cre]
Maintainer: Matthieu Bruneaux <matthieu.bruneaux@gmail.com>

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Package diseasemapping updated to version 2.0.3 with previous version 2.0.2 dated 2023-09-19

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using 'INLA'. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown [aut, cre, cph], Lutong Zhou [aut]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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Package PheVis updated to version 1.0.3 with previous version 1.0.2 dated 2021-02-23

Title: Automatic Phenotyping of Electronic Health Record at Visit Resolution
Description: Using Electronic Health Record (EHR) is difficult because most of the time the true characteristic of the patient is not available. Instead we can retrieve the International Classification of Disease code related to the disease of interest or we can count the occurrence of the Unified Medical Language System. None of them is the true phenotype which needs chart review to identify. However chart review is time consuming and costly. 'PheVis' is an algorithm which is phenotyping (i.e identify a characteristic) at the visit level in an unsupervised fashion. It can be used for chronic or acute diseases. An example of how to use 'PheVis' is available in the vignette. Basically there are two functions that are to be used: `train_phevis()` which trains the algorithm and `test_phevis()` which get the predicted probabilities. The detailed method is described in preprint by Ferté et al. (2020) <doi:10.1101/2020.06.15.20131458>.
Author: Thomas Ferte [aut, cre], Boris P. Hejblum [aut]
Maintainer: Thomas Ferte <thomas.ferte@u-bordeaux.fr>

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Package paws.common updated to version 0.6.1 with previous version 0.6.0 dated 2023-09-06

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package fqadata updated to version 1.1.0 with previous version 1.0.0 dated 2023-04-17

Title: Contains Regional Floristic Quality Assessment Databases
Description: Contains regional Floristic Quality Assessment databases that have been approved or approved with reservations by the U.S. Army Corps of Engineers (USACE). Paired with the 'fqacalc' R package, these data sets allow for Floristic Quality Assessment metrics to be calculated. For information on FQA see Spyreas (2019) <doi:10.1002/ecs2.2825>. Both packages were developed for the USACE by the U.S. Army Engineer Research and Development Center's Environmental Laboratory.
Author: Iris Foxfoot [aut, cre], U.S. Army Engineer Research and Development Center [cph, fnd]
Maintainer: Iris Foxfoot <iris.r.foxfoot@usace.army.mil>

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Package clarify updated to version 0.2.0 with previous version 0.1.3 dated 2023-05-04

Title: Simulation-Based Inference for Regression Models
Description: Performs simulation-based inference as an alternative to the delta method for obtaining valid confidence intervals and p-values for regression post-estimation quantities, such as average marginal effects and predictions at representative values. This framework for simulation-based inference is especially useful when the resulting quantity is not normally distributed and the delta method approximation fails. The methodology is described in King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316>. 'clarify' is meant to replace some of the functionality of the archived package 'Zelig'; see the vignette "Translating Zelig to clarify" for replicating this functionality.
Author: Noah Greifer [aut, cre] , Steven Worthington [aut] , Stefano Iacus [aut] , Gary King [aut]
Maintainer: Noah Greifer <ngreifer@iq.harvard.edu>

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Package limSolve updated to version 1.5.7 with previous version 1.5.6 dated 2019-11-14

Title: Solving Linear Inverse Models
Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.
Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] , Richard J. Hanson [ctb] , Jack Dongarra [ctb] , Cleve Moler [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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New package RWgraph with initial version 1.0.0
Package: RWgraph
Title: Random Walks on Graphs Representing a Transactional Network
Version: 1.0.0
Description: Random walk functions to extract new variables based on clients transactional behaviour. For more details, see Eddin et al. (2021) <arXiv:2112.07508v3> and Oliveira et al. (2021) <arXiv:2102.05373v2>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: igraph
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-09-21 09:50:18 UTC; mafal
Author: Mafalda Sa Ferreira [aut, cre], Regina Bispo [ctb], FCT, I.P. [fnd] )
Maintainer: Mafalda Sa Ferreira <msm.ferreira@campus.fct.unl.pt>
Repository: CRAN
Date/Publication: 2023-09-21 18:30:03 UTC

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Package neighbours updated to version 0.1-3 with previous version 0.1-2 dated 2022-08-23

Title: Neighbourhood Functions for Local-Search Algorithms
Description: Neighbourhood functions are key components of local-search algorithms such as Simulated Annealing or Threshold Accepting. These functions take a solution and return a slightly-modified copy of it, i.e. a neighbour. The package provides a function neighbourfun() that constructs such neighbourhood functions, based on parameters such as admissible ranges for elements in a solution. Supported are numeric and logical solutions. The algorithms were originally created for portfolio-optimisation applications, but can be used for other models as well. Several recipes for neighbour computations are taken from "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658).
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between neighbours versions 0.1-2 dated 2022-08-23 and 0.1-3 dated 2023-09-21

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 DESCRIPTION              |    9 +++++----
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 NAMESPACE                |    1 +
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 14 files changed, 61 insertions(+), 29 deletions(-)

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New package modelbpp with initial version 0.1.2
Package: modelbpp
Title: Model BIC Posterior Probability
Version: 0.1.2
Description: Fits the neighboring models of a fitted structural equation model and assesses the model uncertainty of the fitted model based on BIC posterior probabilities, using the method presented in Wu, Cheung, and Leung (2020) <doi:10.1080/00273171.2019.1574546>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, tinytest
Depends: R (>= 4.0.0)
Imports: lavaan, parallel, pbapply, igraph
VignetteBuilder: knitr
URL: https://sfcheung.github.io/modelbpp/
BugReports: https://github.com/sfcheung/modelbpp/issues
LazyData: true
NeedsCompilation: no
Packaged: 2023-09-21 00:11:23 UTC; sfcheung
Author: Shu Fai Cheung [aut, cre] , Huiping Wu [aut], Shing On Leung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-21 18:10:02 UTC

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New package ImFoR with initial version 0.1.0
Package: ImFoR
Title: Non-Linear Height Diameter Models for Forestry
Version: 0.1.0
Author: M. Iqbal Jeelani [aut, cre], Fehim Jeelani [aut], Shakeel Ahmad Mir [aut], Syed Naseem Geelani [aut], Mushtaq Ahmad Lone [aut], Asif Ali [aut], Afshan Tabassum [aut], Khalid Ul Islam [aut], Imran Rashid [aut], Md Yeasin [aut]
Maintainer: M. Iqbal Jeelani <jeelani.miqbal@gmail.com>
Description: Tree height is an important dendrometric variable and forms the basis of vertical structure of a forest stand. This package will help to fit and validate various non-linear height diameter models for assessing the underlying relationship that exists between tree height and diameter at breast height in case of conifer trees. This package has been implemented on Naslund, Curtis, Michailoff, Meyer, Power, Michaelis-Menten and Wykoff non linear models using algorithm of Huang et al. (1992) <doi:10.1139/x92-172> and Zeide et al. (1993) <doi:10.1093/forestscience/39.3.594>.
License: GPL-3
Encoding: UTF-8
Imports: stats, minpack.lm, Metrics, caret, tidyverse, nlme, ggpubr, ggplot2
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-09-21 14:42:50 UTC; YEASIN
Repository: CRAN
Date/Publication: 2023-09-21 18:50:02 UTC

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New package BioM2 with initial version 1.0
Package: BioM2
Title: Biologically Explainable Machine Learning Framework
Version: 1.0
Author: Shunjie Zhang
Maintainer: Shunjie Zhang <zhang.shunjie@qq.com>
Description: Biologically Explainable Machine Learning Framework for Phenotype Prediction using omics data described in Chen and Schwarz (2017) <arXiv:1712.0036v1>.Identifying reproducible and interpretable biological patterns from high-dimensional omics data is a critical factor in understanding the risk mechanism of complex disease. As such, explainable machine learning can offer biological insight in addition to personalized risk scoring.In this process, a feature space of biological pathways will be generated, and the feature space can also be subsequently analyzed using WGCNA-based (Described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559> ) methods.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: WGCNA, mlr3, CMplot, RColorBrewer, ROCR, caret, dplyr, ggplot2, htmlwidgets, jiebaR, mlr3verse, parallel, tm, uwot, webshot, wordcloud2
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2023-09-21 01:16:42 UTC; Shedom
Repository: CRAN
Date/Publication: 2023-09-21 18:10:07 UTC

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Package ExclusionTable updated to version 1.1.0 with previous version 1.0.0 dated 2022-10-05

Title: Creating Tables of Excluded Observations
Description: Instead of counting observations before and after a subset() call, the ExclusionTable() function reports the number before and after each subset() call together with the number of observations that have been excluded. This is especially useful in observational studies for keeping track how many observations have been excluded for each in-/ or exclusion criteria. You just need to provide ExclusionTable() with a dataset and a list of logical filter statements.
Author: Joshua P. Entrop [aut, cre] , Simon Steiger [ctb]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>

Diff between ExclusionTable versions 1.0.0 dated 2022-10-05 and 1.1.0 dated 2023-09-21

 DESCRIPTION                           |   21 -
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 NEWS.md                               |    8 
 R/exclusion_table.R                   |  593 +++++++++++++++++-----------------
 R/print.exl_tbl.R                     |  287 ++++++++--------
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 inst/doc/ExclusionTable_vignette.html |  209 +++++------
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 man/print.exl_tbl.Rd                  |   40 +-
 9 files changed, 742 insertions(+), 669 deletions(-)

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Package tabr updated to version 0.4.9 with previous version 0.4.5 dated 2021-02-20

Title: Music Notation Syntax, Manipulation, Analysis and Transcription in R
Description: Provides a music notation syntax and a collection of music programming functions for generating, manipulating, organizing, and analyzing musical information in R. Music syntax can be entered directly in character strings, for example to quickly transcribe short pieces of music. The package contains functions for directly performing various mathematical, logical and organizational operations and musical transformations on special object classes that facilitate working with music data and notation. The same music data can be organized in tidy data frames for a familiar and powerful approach to the analysis of large amounts of structured music data. Functions are available for mapping seamlessly between these formats and their representations of musical information. The package also provides an API to 'LilyPond' (<https://lilypond.org/>) for transcribing musical representations in R into tablature ("tabs") and sheet music. 'LilyPond' is open source music engraving software for gener [...truncated...]
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>

Diff between tabr versions 0.4.5 dated 2021-02-20 and 0.4.9 dated 2023-09-21

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 169 files changed, 8887 insertions(+), 8410 deletions(-)

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Package mapmisc updated to version 2.0.1 with previous version 2.0.0 dated 2023-09-13

Title: Utilities for Producing Maps
Description: Provides a minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections. See Brown (2016) <doi:10.32614/RJ-2016-005>.
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between mapmisc versions 2.0.0 dated 2023-09-13 and 2.0.1 dated 2023-09-21

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 vignettes/perspective.Rmd |   13 --
 15 files changed, 385 insertions(+), 105 deletions(-)

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New package nmfbin with initial version 0.2.1
Package: nmfbin
Title: Non-Negative Matrix Factorization for Binary Data
Version: 0.2.1
Description: Factorize binary matrices into rank-k components using the logistic function in the updating process. See e.g. Tomé et al (2015) <doi:10.1007/s11045-013-0240-9> .
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://michalovadek.github.io/nmfbin/
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-20 19:16:47 UTC; uctqova
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-21 13:40:02 UTC

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New package multibias with initial version 1.0.0
Package: multibias
Title: Simultaneous Multi-Bias Adjustment
Version: 1.0.0
Maintainer: Paul Brendel <pcbrendel@gmail.com>
Description: Quantify the causal effect of a binary exposure on a binary outcome with adjustment for multiple biases. The functions can simultaneously adjust for any combination of uncontrolled confounding, exposure misclassification, and selection bias. The underlying method generalizes the concept of combining inverse probability of selection weighting with predictive value weighting. Simultaneous multi-bias analysis can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr (>= 1.1.3), magrittr (>= 2.0.3), rlang (>= 1.1.1)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/pcbrendel/multibias
BugReports: https://github.com/pcbrendel/multibias/issues
NeedsCompilation: no
Packaged: 2023-09-20 17:57:29 UTC; brend
Author: Paul Brendel [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-09-21 13:30:02 UTC

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New package ICSClust with initial version 0.1.0
Package: ICSClust
Title: Tandem Clustering with Invariant Coordinate Selection
Version: 0.1.0
Date: 2023-09-20
Description: Implementation of tandem clustering with invariant coordinate selection with different scatter matrices and several choices for the selection of components as described in Alfons, A., Archimbaud, A., Nordhausen, K.and Ruiz-Gazen, A. (2022) <arXiv:2212.06108>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: ICS (>= 1.4-0), ggplot2
Imports: cluster, fpc, GGally, heplots, mclust, moments, mvtnorm, otrimle, RcppRoll, rrcov, scales, tclust
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
URL: https://github.com/AuroreAA/ICSClust
BugReports: https://github.com/AuroreAA/ICSClust/issues
Author: Aurore Archimbaud [aut, cre] , Andreas Alfons [aut] , Klaus Nordhausen [aut] , Anne Ruiz-Gazen [aut]
Maintainer: Aurore Archimbaud <aurore.archimbaud@live.fr>
NeedsCompilation: yes
Packaged: 2023-09-20 16:53:56 UTC; auror
Repository: CRAN
Date/Publication: 2023-09-21 13:20:02 UTC

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New package chem.databases with initial version 1.0.0
Package: chem.databases
Title: Collection of 3 Chemical Databases from Public Sources
Version: 1.0.0
Maintainer: Irucka Embry <iembry@ecoccs.com>
Depends: R (>= 3.5.0)
Suggests: data.table (>= 1.10.2), install.load, spelling
Description: Contains the Multi-Species Acute Toxicity Database (CAS & SMILES columns only) [United States (US) Department of Health and Human Services (DHHS) National Institutes of Health (NIH) National Cancer Institute (NCI), "Multi-Species Acute Toxicity Database", <https://cactus.nci.nih.gov/download/acute-toxicity-db/>] combined with the Toxic Substances Control Act (TSCA) Inventory [United States Environmental Protection Agency (US EPA), "Toxic Substances Control Act (TSCA) Chemical Substance Inventory", <https://www.epa.gov/tsca-inventory/how-access-tsca-inventory} and <https://cdxapps.epa.gov/oms-substance-registry-services/substance-list-details/169>] and the Agency for Toxic Substances and Disease Registry (ATSDR) Database [United States (US) Department of Health and Human Services (DHHS) Centers for Disease Control and Prevention (CDC)/Agency for Toxic Substances and Disease Registry (ATSDR), "Agency for Toxic Substances and Disease Registry (ATSDR) Database", <http [...truncated...]
URL: https://gitlab.com/iembry/chem.databases
BugReports: https://gitlab.com/iembry/chem.databases/-/issues
License: CC0
Copyright: This software is in the public domain because it contains mostly materials that originally came from the United States (US) Environmental Protection Agency (US EPA), the United States (US) Department of Health and Human Services (DHHS) Centers for Disease Control and Prevention (CDC)/ Agency for Toxic Substances and Disease Registry (ATSDR), or the United States (US) Department of Health and Human Services (DHHS) National Institutes of Health (NIH) National Cancer Institute (NCI).
Language: en-US
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2023-09-20 19:02:34 UTC; xbyri
Author: Irucka Embry [aut, cre]
Repository: CRAN
Date/Publication: 2023-09-21 13:40:05 UTC

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New package allometric with initial version 1.4.1
Package: allometric
Title: Structured Allometric Models for Trees
Version: 1.4.1
Description: Access allometric models used in forest resource analysis, such as volume equations, taper equations, biomass models, among many others. Users are able to efficiently find and select allometric models suitable for their project area and use them in analysis. Additionally, 'allometric' provides a structured framework for adding new models to an open-source models repository.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, methods, rlang, stringr, tibble, units, RefManageR, magrittr, purrr, ISOcodes, tidyr, progress, vctrs, openssl, gh, curl
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 2.10)
LazyData: true
BugReports: https://github.com/allometric/allometric/issues
Contact: bfrank70@gmail.com
NeedsCompilation: no
Packaged: 2023-09-20 17:27:08 UTC; bfran
Author: Bryce Frank [aut, cre] , Francisco Mauro [aut] , Elijah Allensworth [aut]
Maintainer: Bryce Frank <bfrank70@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-21 13:30:05 UTC

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Package vennLasso (with last version 0.1.6) was removed from CRAN

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

2020-06-03 0.1.6

Permanent link
Package rootSolve updated to version 1.8.2.4 with previous version 1.8.2.3 dated 2021-09-29

Title: Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
Description: Routines to find the root of nonlinear functions, and to perform steady-state and equilibrium analysis of ordinary differential equations (ODE). Includes routines that: (1) generate gradient and jacobian matrices (full and banded), (2) find roots of non-linear equations by the 'Newton-Raphson' method, (3) estimate steady-state conditions of a system of (differential) equations in full, banded or sparse form, using the 'Newton-Raphson' method, or by dynamically running, (4) solve the steady-state conditions for uni-and multicomponent 1-D, 2-D, and 3-D partial differential equations, that have been converted to ordinary differential equations by numerical differencing (using the method-of-lines approach). Includes fortran code.
Author: Karline Soetaert [aut, cre], Alan C. Hindmarsh [ctb] , S.C. Eisenstat [ctb] , Cleve Moler [ctb] , Jack Dongarra [ctb] , Youcef Saad [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between rootSolve versions 1.8.2.3 dated 2021-09-29 and 1.8.2.4 dated 2023-09-21

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Package chromer updated to version 0.6 with previous version 0.5 dated 2023-08-20

Title: Interface to Chromosome Counts Database API
Description: A programmatic interface to the Chromosome Counts Database (<https://ccdb.tau.ac.il/>), Rice et al. (2014) <doi:10.1111/nph.13191>. This package is part of the 'ROpenSci' suite (<https://ropensci.org>).
Author: Matthew Pennell [aut] , Paula Andrea Martinez [aut] , Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between chromer versions 0.5 dated 2023-08-20 and 0.6 dated 2023-09-21

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Package bvpSolve updated to version 1.4.4.1 with previous version 1.4.4 dated 2023-07-07

Title: Solvers for Boundary Value Problems of Differential Equations
Description: Functions that solve boundary value problems ('BVP') of systems of ordinary differential equations ('ODE') and differential algebraic equations ('DAE'). The functions provide an interface to the FORTRAN functions 'twpbvpC', 'colnew/colsys', and an R-implementation of the shooting method. Mazzia, F., J.R. Cash and K. Soetaert, 2014.
Author: Karline Soetaert [aut, cre] , Jeff Cash [aut], Francesca Mazzia [aut], Uri M. Ascher [ctb] , G. Bader [ctb] , J. Christiansen [ctb] , Robert R. Russell [ctb]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

Diff between bvpSolve versions 1.4.4 dated 2023-07-07 and 1.4.4.1 dated 2023-09-21

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Package wdpar updated to version 1.3.7 with previous version 1.3.5 dated 2023-08-08

Title: Interface to the World Database on Protected Areas
Description: Fetch and clean data from the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). Data is obtained from Protected Planet <https://www.protectedplanet.net/en>. To augment data cleaning procedures, users can install the 'prepr' R package (available at <https://github.com/dickoa/prepr>). For more information on this package, see Hanson (2022) <doi:10.21105/joss.04594>.
Author: Jeffrey O Hanson [aut, cre]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between wdpar versions 1.3.5 dated 2023-08-08 and 1.3.7 dated 2023-09-21

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Package rbioacc updated to version 1.2-0 with previous version 1.1-0 dated 2022-01-12

Title: Inference and Prediction of ToxicoKinetic (TK) Models
Description: The MOSAICbioacc application is a turnkey package providing bioaccumulation factors (BCF/BMF/BSAF) from a toxicokinetic (TK) model fitted to accumulation-depuration data. It is designed to fulfil the requirements of regulators when examining applications for market authorization of active substances. See Ratier et al. (2021) <doi:10.1101/2021.09.08.459421>.
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Ophelia Gestin [ctb], Milena Kaag [aut], Christelle Lopes [ctb], Gauthier Multari [ctb], Alain Pave [ctb], Aude Ratier [aut], Aurelie Siberchicot [aut]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

Diff between rbioacc versions 1.1-0 dated 2022-01-12 and 1.2-0 dated 2023-09-21

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Package AzureRMR updated to version 2.4.4 with previous version 2.4.3 dated 2021-10-23

Title: Interface to 'Azure Resource Manager'
Description: A lightweight but powerful R interface to the 'Azure Resource Manager' REST API. The package exposes a comprehensive class framework and related tools for creating, updating and deleting 'Azure' resource groups, resources and templates. While 'AzureRMR' can be used to manage any 'Azure' service, it can also be extended by other packages to provide extra functionality for specific services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between AzureRMR versions 2.4.3 dated 2021-10-23 and 2.4.4 dated 2023-09-21

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Package ICS updated to version 1.4-1 with previous version 1.4-0 dated 2023-09-09

Title: Tools for Exploring Multivariate Data via ICS/ICA
Description: Implementation of Tyler, Critchley, Duembgen and Oja's (JRSS B, 2009, <doi:10.1111/j.1467-9868.2009.00706.x>) and Oja, Sirkia and Eriksson's (AJS, 2006, <https://www.ajs.or.at/index.php/ajs/article/view/vol35,%20no2%263%20-%207>) method of two different scatter matrices to obtain an invariant coordinate system or independent components, depending on the underlying assumptions.
Author: Klaus Nordhausen [aut, cre] , Andreas Alfons [aut] , Aurore Archimbaud [aut] , Hannu Oja [aut] , Anne Ruiz-Gazen [aut] , David E. Tyler [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

Diff between ICS versions 1.4-0 dated 2023-09-09 and 1.4-1 dated 2023-09-21

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Package snowFT updated to version 1.6-1 with previous version 1.6-0 dated 2017-06-17

Title: Fault Tolerant Simple Network of Workstations
Description: Extension of the snow package supporting fault tolerant and reproducible applications, as well as supporting easy-to-use parallel programming - only one function is needed. Dynamic cluster size is also available.
Author: Hana Sevcikova, A. J. Rossini
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package NMsim updated to version 0.0.4 with previous version 0.0.3 dated 2023-09-20

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface from within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating time spent and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Matthew Fidler [ctb]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMsim versions 0.0.3 dated 2023-09-20 and 0.0.4 dated 2023-09-21

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Package ISRaD updated to version 2.5.5 with previous version 2.5.4 dated 2023-08-09

Title: Tools and Data for the International Soil Radiocarbon Database
Description: This is the central location for data and tools for the development, maintenance, analysis, and deployment of the International Soil Radiocarbon Database (ISRaD). ISRaD was developed as a collaboration between the U.S. Geological Survey Powell Center and the Max Planck Institute for Biogeochemistry. This R package provides tools for accessing and manipulating ISRaD data, compiling local data using the ISRaD data structure, and simple query and reporting functions for ISRaD. For more detailed information visit the ISRaD website at: <https://soilradiocarbon.org/>.
Author: Alison Hoyt [aut], Jeffrey Beem-Miller [aut, cre], Shane Stoner [aut], J. Grey Monroe [aut], Caitlin Hicks-Pries [aut], Paul A. Levine [aut]
Maintainer: Jeffrey Beem-Miller <jbeem@bgc-jena.mpg.de>

Diff between ISRaD versions 2.5.4 dated 2023-08-09 and 2.5.5 dated 2023-09-21

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Package geobr updated to version 1.8.1 with previous version 1.8.0 dated 2023-09-09

Title: Download Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and fixed topology.
Author: Rafael H. M. Pereira [aut, cre] , Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton S [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package fastcpd updated to version 0.7.0 with previous version 0.6.2 dated 2023-09-14

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph], Trisha Dawn [aut, cph]
Maintainer: Xingchi Li <anthony.li@stat.tamu.edu>

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Package romic updated to version 1.1.3 with previous version 1.1.1 dated 2023-02-02

Title: R for High-Dimensional Omic Data
Description: Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.
Author: Sean Hackett [aut, cre] , Calico Life Sciences LLC [cph, fnd]
Maintainer: Sean Hackett <sean@calicolabs.com>

Diff between romic versions 1.1.1 dated 2023-02-02 and 1.1.3 dated 2023-09-21

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Wed, 20 Sep 2023

Package geocausal updated to version 0.2.0 with previous version 0.1.0 dated 2023-08-21

Title: Causal Inference with Spatio-Temporal Data
Description: Spatio-temporal causal inference based on point process data. You provide the raw data of locations and timings of treatment and outcome events, specify counterfactual scenarios, and the package estimates causal effects over specified spatial and temporal windows. See Papadogeorgou, et al. (2022) <doi:10.1111/rssb.12548>.
Author: Mitsuru Mukaigawara [cre, aut] , Georgia Papadogeorgou [aut] , Jason Lyall [aut] , Kosuke Imai [aut]
Maintainer: Mitsuru Mukaigawara <mitsuru_mukaigawara@g.harvard.edu>

Diff between geocausal versions 0.1.0 dated 2023-08-21 and 0.2.0 dated 2023-09-20

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Package accessibility updated to version 1.2.0 with previous version 1.1.0 dated 2023-06-22

Title: Transport Accessibility Measures
Description: A set of fast and convenient functions to calculate multiple transport accessibility measures. Given a pre-computed travel cost matrix and a land use dataset (containing the location of jobs, healthcare and population, for example), the package allows one to calculate active and passive accessibility levels using multiple accessibility measures, such as: cumulative opportunities (using either travel cost cutoffs or intervals), minimum travel cost to closest N number of activities, gravity-based (with different decay functions) and different floating catchment area methods.
Author: Rafael H. M. Pereira [aut] , Daniel Herszenhut [aut, cre] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

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Package rbmi updated to version 1.2.5 with previous version 1.2.3 dated 2022-11-14

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.
Author: Craig Gower-Page [aut, cre], Alessandro Noci [aut], Marcel Wolbers [ctb], Roche [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>

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Package nonmemica updated to version 1.0.8 with previous version 1.0.7 dated 2023-09-15

Title: Create and Evaluate NONMEM Models in a Project Context
Description: Systematically creates and modifies NONMEM(R) control streams. Harvests NONMEM output, builds run logs, creates derivative data, generates diagnostics. NONMEM (ICON Development Solutions <https://www.iconplc.com/>) is software for nonlinear mixed effects modeling. See 'package?nonmemica'.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between nonmemica versions 1.0.7 dated 2023-09-15 and 1.0.8 dated 2023-09-20

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Package NMsim updated to version 0.0.3 with previous version 0.0.2 dated 2023-09-14

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface from within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating time spent and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Matthew Fidler [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package EloSteepness updated to version 0.5.0 with previous version 0.4.7 dated 2022-12-20

Title: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Description: Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
Author: Christof Neumann [aut, cre]
Maintainer: Christof Neumann <christofneumann1@gmail.com>

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Package ggstatsplot updated to version 0.12.1 with previous version 0.12.0 dated 2023-08-07

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph] , Chuck Powell [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package echarty updated to version 1.6.0 with previous version 1.5.4 dated 2023-05-28

Title: Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Description: Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty' users build R lists for 'ECharts' API. Lean set of powerful commands.
Author: Larry Helgason, with initial code from John Coene's library echarts4r
Maintainer: Larry Helgason <larry@helgasoft.com>

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Package ottrpal updated to version 1.2 with previous version 1.1.1 dated 2023-05-18

Title: Companion Tools for Open-Source Tools for Training Resources (OTTR)
Description: Tools for converting Open-Source Tools for Training Resources (OTTR) courses into Leanpub or Coursera courses. 'ottrpal' is for use with the OTTR Template repository to create courses.
Author: Candace Savonen [aut, cre] , John Muschelli [aut] , Carrie Wright [ctb], Howard Baek [ctb]
Maintainer: Candace Savonen <cansav09@gmail.com>

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Package connectwidgets updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-11

Title: Organize and Curate Your Content Within 'Posit Connect'
Description: A collection of helper functions and 'htmlwidgets' to help publishers curate content collections on 'Posit Connect'. The components, Card, Grid, Table, Search, and Filter can be used to produce a showcase page or gallery contained within a static or interactive R Markdown page.
Author: Brian Smith [aut, cre], Marcos Navarro [aut], David Aja [ctb], Kelly O'Briant [ctb], Posit [cph]
Maintainer: Brian Smith <brian@rstudio.com>

Diff between connectwidgets versions 0.2.0 dated 2023-01-11 and 0.2.1 dated 2023-09-20

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New package neuralGAM with initial version 1.1.0
Package: neuralGAM
Title: Interpretable Neural Network Based on Generalized Additive Models
Version: 1.1.0
Maintainer: Ines Ortega-Fernandez <iortega@gradiant.org>
Description: Neural network framework based on Generalized Additive Models from Hastie & Tibshirani (1990, ISBN:9780412343902), which trains a different neural network to estimate the contribution of each feature to the response variable. The networks are trained independently leveraging the local scoring and backfitting algorithms to ensure that the Generalized Additive Model converges and it is additive. The resultant Neural Network is a highly accurate and interpretable deep learning model, which can be used for high-risk AI practices where decision-making should be based on accountable and interpretable algorithms.
License: MPL-2.0
BugReports: https://github.com/inesortega/neuralGAM/issues
Encoding: UTF-8
Imports: tensorflow, keras, ggplot2, magrittr, reticulate, formula.tools, gridExtra
SystemRequirements: python (>= 3.8), keras, tensorflow
Suggests: covr, testthat (>= 3.0.0), fs, withr
URL: https://inesortega.github.io/neuralGAM/, https://github.com/inesortega/neuralGAM
NeedsCompilation: no
Packaged: 2023-09-20 09:30:48 UTC; iortega
Author: Ines Ortega-Fernandez [aut, cre, cph] , Marta Sestelo [aut, cph]
Repository: CRAN
Date/Publication: 2023-09-20 18:20:02 UTC

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New package miniPCH with initial version 0.2.0
Package: miniPCH
Title: Survival Distributions with Piece-Wise Constant Hazards
Version: 0.2.0
License: GPL (>= 3)
Description: Density, distribution function, ... hazard function, cumulative hazard function, survival function for survival distributions with piece-wise constant hazards.
Encoding: UTF-8
Imports: Rcpp (>= 1.0.8), checkmate
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), covr, withr
URL: https://simnph.github.io/miniPCH/, https://github.com/SimNPH/miniPCH
BugReports: https://github.com/SimNPH/miniPCH/issues/
NeedsCompilation: yes
Packaged: 2023-09-20 11:40:21 UTC; Tobias11
Author: Tobias Fellinger [aut, cre] , Florian Klinglmueller [aut]
Maintainer: Tobias Fellinger <tobias.fellinger@ages.at>
Repository: CRAN
Date/Publication: 2023-09-20 18:40:02 UTC

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Package jqr updated to version 1.3.0 with previous version 1.2.3 dated 2022-03-10

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

Diff between jqr versions 1.2.3 dated 2022-03-10 and 1.3.0 dated 2023-09-20

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New package gdldata with initial version 0.1
Package: gdldata
Title: 'Global Data Lab' R API
Version: 0.1
Description: Retrieve datasets from the 'Global Data Lab' website <https://globaldatalab.org> directly into R data frames. Functions are provided to reference available options (indicators, levels, countries, regions) as well.
Depends: R (>= 3.4)
Imports: httr2, methods
Suggests: magrittr
URL: https://docs.globaldatalab.org/gdldata/, https://github.com/GlobalDataLab/R-data-api
BugReports: https://github.com/GlobalDataLab/R-data-api/issues
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-09-20 12:44:35 UTC; aaron
Author: Global Data Lab [cph], Aaron van Geffen [aut, cre]
Maintainer: Aaron van Geffen <aaron.vangeffen@ru.nl>
Repository: CRAN
Date/Publication: 2023-09-20 18:40:05 UTC

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New package evinf with initial version 0.8.7
Package: evinf
Title: Inference with Extreme Value Inflated Count Data
Version: 0.8.7
Description: Allows users to model and draw inferences from extreme value inflated count data, and to evaluate these models and compare to non extreme-value inflated counterparts. The package is built to be compatible with standard presentation tools such as 'broom', 'tidy', and 'modelsummary'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, Rcpp, RcppArmadillo, foreach, doParallel, magrittr, doRNG, tibble, mistr, tidyr, purrr, MASS, pscl, MLmetrics, Rdpack, stringi, stringr, rlang, methods, stats, utils, parallel
LinkingTo: Rcpp, RcppArmadillo
Depends: generics, R (>= 2.10)
URL: https://github.com/Doktorandahl/evinf
BugReports: https://github.com/Doktorandahl/evinf/issues
NeedsCompilation: yes
Packaged: 2023-09-20 14:58:53 UTC; david
Author: David Randahl [cre, aut], Johan Vegelius [aut]
Maintainer: David Randahl <david.randahl@pcr.uu.se>
Repository: CRAN
Date/Publication: 2023-09-20 18:50:02 UTC

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New package Euclimatch with initial version 1.0.0
Package: Euclimatch
Title: Euclidean Climatch Algorithm
Version: 1.0.0
Description: An interface for performing climate matching using the Euclidean "Climatch" algorithm. Functions provide a vector of climatch scores (0-10) for each location (i.e., grid cell) within the recipient region, the percent of climatch scores >= a threshold value, and mean climatch score. Tools for parallelization and visualizations are also provided. Note that the floor function that rounds the climatch score down to the nearest integer has been removed in this implementation and the “Climatch” algorithm, also referred to as the “Climate” algorithm, is described in: Crombie, J., Brown, L., Lizzio, J., & Hood, G. (2008). “Climatch user manual”. The method for the percent score is described in: Howeth, J.G., Gantz, C.A., Angermeier, P.L., Frimpong, E.A., Hoff, M.H., Keller, R.P., Mandrak, N.E., Marchetti, M.P., Olden, J.D., Romagosa, C.M., and Lodge, D.M. (2016). <doi:10.1111/ddi.12391>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.10), foreach, doParallel, RcppParallel, terra, RColorBrewer, grDevices
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-09-20 16:01:12 UTC; justi
Author: Justin A. G. Hubbard [aut, cre] , D. Andrew R. Drake [aut], Nicholas E. Mandrak [aut]
Maintainer: Justin A. G. Hubbard <justin.hubbard@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2023-09-20 19:00:02 UTC

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New package DBModelSelect with initial version 0.2.0
Package: DBModelSelect
Title: Distribution-Based Model Selection
Version: 0.2.0
Date: 2023-08-22
Description: Perform model selection using distribution and probability-based methods, including standardized AIC, BIC, and AICc. These standardized information criteria allow one to perform model selection in a way similar to the prevalent "Rule of 2" method, but formalize the method to rely on probability theory. A novel goodness-of-fit procedure for assessing linear regression models is also available. This test relies on theoretical properties of the estimated error variance for a normal linear regression model, and employs a bootstrap procedure to assess the null hypothesis that the fitted model shows no lack of fit. For more information, see Koeneman and Cavanaugh (2023) <arXiv:2309.10614>. Functionality to perform all subsets linear or generalized linear regression is also available.
URL: https://github.com/shkoeneman/DBModelSelect
License: GPL-3
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2023-09-20 13:38:19 UTC; syk070
Author: Scott H. Koeneman [aut, cre]
Maintainer: Scott H. Koeneman <Scott.Koeneman@jefferson.edu>
Repository: CRAN
Date/Publication: 2023-09-20 18:40:08 UTC

More information about DBModelSelect at CRAN
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Package europepmc updated to version 0.4.3 with previous version 0.4.2 dated 2023-08-21

Title: R Interface to the Europe PubMed Central RESTful Web Service
Description: An R Client for the Europe PubMed Central RESTful Web Service (see <https://europepmc.org/RestfulWebService> for more information). It gives access to both metadata on life science literature and open access full texts. Europe PMC indexes all PubMed content and other literature sources including Agricola, a bibliographic database of citations to the agricultural literature, or Biological Patents. In addition to bibliographic metadata, the client allows users to fetch citations and reference lists. Links between life-science literature and other EBI databases, including ENA, PDB or ChEMBL are also accessible. No registration or API key is required. See the vignettes for usage examples.
Author: Najko Jahn [aut, cre, cph], Maelle Salmon [ctb]
Maintainer: Najko Jahn <najko.jahn@gmail.com>

Diff between europepmc versions 0.4.2 dated 2023-08-21 and 0.4.3 dated 2023-09-20

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Package envalysis updated to version 0.6.0 with previous version 0.5.5 dated 2023-08-07

Title: Miscellaneous Functions for Environmental Analyses
Description: Small toolbox for data analyses in environmental chemistry and ecotoxicology. Provides, for example, calibration() to calculate calibration curves and corresponding limits of detection (LODs) and limits of quantification (LOQs) according to German DIN 32645 (2008). texture() makes it easy to estimate soil particle size distributions from hydrometer measurements (ASTM D422-63, 2007).
Author: Zacharias Steinmetz [aut, cre] , Julius Albert [ctb] , Kilian Kenngott [ctb]
Maintainer: Zacharias Steinmetz <z.steinmetz@rptu.de>

Diff between envalysis versions 0.5.5 dated 2023-08-07 and 0.6.0 dated 2023-09-20

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 envalysis-0.6.0/envalysis/R/icp.R                                                         |   15 
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 envalysis-0.6.0/envalysis/R/mselect.R                                                     |   94 ---
 envalysis-0.6.0/envalysis/R/neitzel2003.R                                                 |   15 
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 envalysis-0.6.0/envalysis/R/rmse.R                                                        |   25 
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 envalysis-0.6.0/envalysis/man/icp.Rd                                                      |   16 
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 envalysis-0.6.0/envalysis/man/signifig.Rd                                                 |   12 
 envalysis-0.6.0/envalysis/man/sorption.Rd                                                 |   22 
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 envalysis-0.6.0/envalysis/man/weight_select.Rd                                            |   29 
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Package datetimeutils updated to version 0.6-2 with previous version 0.6-1 dated 2023-04-05

Title: Utilities for Dates and Times
Description: Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Author: Enrico Schumann [aut, cre] , Unicode, Inc. [dtc, cph]
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between datetimeutils versions 0.6-1 dated 2023-04-05 and 0.6-2 dated 2023-09-20

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Package sisireg updated to version 1.1.1 with previous version 1.1.0 dated 2023-09-07

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

Diff between sisireg versions 1.1.0 dated 2023-09-07 and 1.1.1 dated 2023-09-20

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Permanent link

Package reslife updated to version 0.1.2 with previous version 0.1.1 dated 2023-09-18

Title: Calculate Mean Residual Life (MRL) and Related Values for Different Distributions
Description: A pair of functions for calculating mean residual life (MRL) , median residual life, and percentile residual life using the outputs of either the 'flexsurv' package or parameters provided by the user. Input information about the distribution, the given 'life' value, the percentile, and the type of residual life, and the function will return your desired values. For the 'flexsurv' option, the function allows the user to input their own data for making predictions. This function is based on Jackson (2016) <doi:10.18637/jss.v070.i08>.
Author: Andrew Crawford [cre, aut], Zekai Wang [aut], Ka Lok Lee [aut]
Maintainer: Andrew Crawford <atcrawford18@gmail.com>

Diff between reslife versions 0.1.1 dated 2023-09-18 and 0.1.2 dated 2023-09-20

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New package prolsirm with initial version 0.1.0
Package: prolsirm
Title: Procrustes Matching for Latent Space Item Response Model
Version: 0.1.0
Description: Procrustes matching of the posterior samples of person and item latent positions from latent space item response models. The methods implemented in this package are based on work by Borg, I., Groenen, P. (1997, ISBN:978-0-387-94845-4), Jeon, M., Jin, I. H., Schweinberger, M., Baugh, S. (2021) <doi:10.1007/s11336-021-09762-5>, and Andrew, D. M., Kevin M. Q., Jong Hee Park. (2011) <doi:10.18637/jss.v042.i09>.
License: GPL (>= 3)
Imports: MCMCpack
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-09-19 15:52:45 UTC; jevan
Author: Jinwen Luo [aut, cre] , Minjeong Jeon [aut]
Maintainer: Jinwen Luo <jevanluo@ucla.edu>
Repository: CRAN
Date/Publication: 2023-09-20 13:10:02 UTC

More information about prolsirm at CRAN
Permanent link

New package pharmaverseadam with initial version 0.1.1
Package: pharmaverseadam
Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Version: 0.1.1
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in: CDISC Analysis Data Model Team (2021) <https://www.cdisc.org/system/files/members/standard/foundational/ADaMIG_v1.3.pdf>.
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/pharmaverseadam/main/, https://github.com/pharmaverse/pharmaverseadam/
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: bzip2
Depends: R (>= 3.5)
Imports:
Suggests: covr, devtools, diffdf, DT, knitr, lintr, methods, miniUI, pkgdown, rmarkdown, roxygen2, spelling, testthat (>= 3.0.0), tibble, usethis,
NeedsCompilation: no
Packaged: 2023-09-20 07:04:26 UTC; mancinie
Author: Edoardo Mancini [aut, cre], Kangjie Zhang [aut], Stefan Bundfuss [aut], Gayatri G [aut], Daphne Grassely [aut], Zelos Zhu [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>
Repository: CRAN
Date/Publication: 2023-09-20 13:30:02 UTC

More information about pharmaverseadam at CRAN
Permanent link

New package perutimber with initial version 0.1.0
Package: perutimber
Title: Catalogue of the Timber Forest Species of the Peruvian Amazon
Version: 0.1.0
Description: Access the data of the 'Catalogue of the Timber Forest Species of the Peruvian Amazon' Vásquez Martínez, R., & Rojas Gonzáles, R.D.P.(2022)<doi:10.21704/rfp.v37i3.1956>.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Depends: R (>= 3.5.0)
URL: https://github.com/PaulESantos/perutimber, https://paulesantos.github.io/perutimber/
BugReports: https://github.com/PaulESantos/perutimber/issues
LazyData: true
LazyDataCompression: xz
Imports: lifecycle
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
NeedsCompilation: no
Packaged: 2023-09-20 00:33:24 UTC; user
Author: Paul E. Santos Andrade [aut, cre]
Repository: CRAN
Date/Publication: 2023-09-20 13:20:02 UTC

More information about perutimber at CRAN
Permanent link

New package mplusParallel.automation with initial version 0.0.1.1
Title: Parallel Processing Automation for 'Mplus'
Package: mplusParallel.automation
Version: 0.0.1.1
Description: Offers automation tools to parallelize 'Mplus' operations when using 'R' for data generation. It facilitates streamlined integration between 'Mplus' and 'R', allowing users to run and manage multiple 'Mplus' models simultaneously and efficiently in 'R'.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, furrr, future, parallel
Depends: MplusAutomation
Suggests: knitr, mvtnorm, rmarkdown
NeedsCompilation: no
Packaged: 2023-09-19 14:48:44 UTC; jakep
Author: Jake Plantz [aut, cre]
Maintainer: Jake Plantz <Jakewplantz@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-20 13:10:05 UTC

More information about mplusParallel.automation at CRAN
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Package harmony updated to version 1.0.1 with previous version 0.1.1 dated 2022-11-14

Title: Fast, Sensitive, and Accurate Integration of Single Cell Data
Description: Implementation of the Harmony algorithm for single cell integration, described in Korsunsky et al <doi:10.1038/s41592-019-0619-0>. Package includes a standalone Harmony function and interfaces to external frameworks.
Author: Ilya Korsunsky [cre, aut] , Martin Hemberg [aut] , Nikolaos Patikas [aut, ctb] , Hongcheng Yao [aut, ctb] , Nghia Millard [aut] , Jean Fan [aut, ctb] , Kamil Slowikowski [aut, ctb] , Miles Smith [ctb], Soumya Raychaudhuri [aut]
Maintainer: Ilya Korsunsky <ilya.korsunsky@gmail.com>

Diff between harmony versions 0.1.1 dated 2022-11-14 and 1.0.1 dated 2023-09-20

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More information about harmony at CRAN
Permanent link

Package BFS updated to version 0.5.5 with previous version 0.5.4 dated 2023-09-13

Title: Get Data from the Swiss Federal Statistical Office
Description: Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre], Janosch Brenzel-Weiss [ctb], Joao Martins [ctb], Philipp Baumann [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between BFS versions 0.5.4 dated 2023-09-13 and 0.5.5 dated 2023-09-20

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New package avesperu with initial version 0.0.1
Package: avesperu
Title: Access to the List of Birds Species of Peru
Version: 0.0.1
Description: Allows access to the data found in the species list featured in the renowned 'List of the Birds of Peru' Plenge, M. A. (2023) <https://sites.google.com/site/boletinunop/checklist>. This publication stands as one of Peru's most comprehensive reviews of bird diversity. The dataset incorporates detailed species accounts and has been meticulously structured for effortless utilization within the R environment.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/PaulESantos/avesperu
BugReports: https://github.com/PaulESantos/avesperu/issues
Depends: R (>= 2.10)
LazyData: true
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
NeedsCompilation: no
Packaged: 2023-09-20 00:43:38 UTC; user
Author: Paul E. Santos Andrade [aut, cre]
Repository: CRAN
Date/Publication: 2023-09-20 13:20:05 UTC

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Package regspec updated to version 2.7 with previous version 2.6 dated 2022-06-01

Title: Non-Parametric Bayesian Spectrum Estimation for Multirate Data
Description: Computes linear Bayesian spectral estimates from multirate data for second-order stationary time series. Provides credible intervals and methods for plotting various spectral estimates. Please see the paper `Should we sample a time series more frequently?' (doi below) for a full description of and motivation for the methodology.
Author: Ben Powell [aut, cre], Guy Nason [aut]
Maintainer: Ben Powell <ben.powell@york.ac.uk>

Diff between regspec versions 2.6 dated 2022-06-01 and 2.7 dated 2023-09-20

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Package crew.cluster updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-15

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] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between crew.cluster versions 0.1.1 dated 2023-06-15 and 0.1.2 dated 2023-09-20

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More information about crew.cluster at CRAN
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Package caretEnsemble updated to version 2.0.3 with previous version 2.0.2 dated 2023-02-08

Title: Ensembles of Caret Models
Description: Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model, and caretEnsemble() will make a robust linear combination of models using a GLM.
Author: Zachary A. Deane-Mayer [aut, cre], Jared E. Knowles [aut]
Maintainer: Zachary A. Deane-Mayer <zach.mayer@gmail.com>

Diff between caretEnsemble versions 2.0.2 dated 2023-02-08 and 2.0.3 dated 2023-09-20

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Package MTest updated to version 1.0.1 with previous version 1.0.0 dated 2023-07-18

Title: A Procedure for Multicollinearity Testing using Bootstrap
Description: Functions for detecting multicollinearity. This test gives statistical support to two of the most famous methods for detecting multicollinearity in applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2015) <doi:10.33333/rp.vol51n2.05>.
Author: Victor Morales-Onate [aut, cre] , Bolivar Morales-Onate [aut]
Maintainer: Victor Morales-Onate <victor.morales@uv.cl>

Diff between MTest versions 1.0.0 dated 2023-07-18 and 1.0.1 dated 2023-09-20

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Package newscatcheR updated to version 0.1.2 with previous version 0.1.1 dated 2022-04-29

Title: Programmatically Collect Normalized News from (Almost) Any Website
Description: Programmatically collect normalized news from (almost) any website. An 'R' clone of the <https://github.com/kotartemiy/newscatcher> 'Python' module.
Author: Novica Nakov [aut, cre], Teofil Nakov [ctb], Artem Bugara [ctb], Discindo [cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

Diff between newscatcheR versions 0.1.1 dated 2022-04-29 and 0.1.2 dated 2023-09-20

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Package IOHanalyzer updated to version 0.1.8.2 with previous version 0.1.6.3 dated 2022-03-09

Title: Data Analysis Part of 'IOHprofiler'
Description: The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.
Author: Hao Wang [aut] , Diederick Vermetten [cre, aut] , Carola Doerr [aut] , Thomas Baeck [aut]
Maintainer: Diederick Vermetten <d.l.vermetten@liacs.leidenuniv.nl>

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Package mlr3misc updated to version 0.13.0 with previous version 0.12.0 dated 2023-05-12

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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Package zen4R updated to version 0.9 with previous version 0.8 dated 2023-01-19

Title: Interface to 'Zenodo' REST API
Description: Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including management of depositions, attribution of DOIs by 'Zenodo' and upload and download of files.
Author: Emmanuel Blondel [aut, cre] , Julien Barde [ctb] , Stephen Eglen [ctb] , Hans Van Calster [ctb] , Floris Vanderhaeghe [ctb] , Jemma Stachelek [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package timsac updated to version 1.3.8-3 with previous version 1.3.8-2 dated 2023-07-12

Title: Time Series Analysis and Control Package
Description: Functions for statistical analysis, prediction and control of time series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>.
Author: The Institute of Statistical Mathematics
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>

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Package SqlRender updated to version 1.16.0 with previous version 1.15.2 dated 2023-08-10

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics Dedicated', 'Apache Spark', and 'SQLite'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package RoBTT updated to version 1.2.1 with previous version 1.2.0 dated 2023-06-26

Title: Robust Bayesian T-Test
Description: An implementation of Bayesian model-averaged t-test that allows users to draw inference about the presence vs absence of the effect, heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model ensembles of models created as a combination of the competing hypotheses and uses Bayesian model-averaging to combine the models using posterior model probabilities. Users can obtain the model-averaged posterior distributions and inclusion Bayes factors which account for the uncertainty in the data generating process (Maier et al., 2022, <doi:10.31234/osf.io/d5zwc>). Users can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package FrF2 updated to version 2.3-3 with previous version 2.3-2 dated 2023-08-15

Title: Fractional Factorial Designs with 2-Level Factors
Description: Regular and non-regular Fractional Factorial 2-level designs can be created. Furthermore, analysis tools for Fractional Factorial designs with 2-level factors are offered (main effects and interaction plots for all factors simultaneously, cube plot for looking at the simultaneous effects of three factors, full or half normal plot, alias structure in a more readable format than with the built-in function alias).
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

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Package exactextractr updated to version 0.10.0 with previous version 0.9.1 dated 2022-11-16

Title: Fast Extraction from Raster Datasets using Polygons
Description: Quickly and accurately summarizes raster values over polygonal areas ("zonal statistics").
Author: Daniel Baston [aut, cre], ISciences, LLC [cph]
Maintainer: Daniel Baston <dbaston@isciences.com>

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Package reReg updated to version 1.4.6 with previous version 1.4.5 dated 2023-01-27

Title: Recurrent Event Regression
Description: A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event described in Chiou et al. (2023) <doi:10.18637/jss.v105.i05>. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.
Author: Sy Han Chiou [aut, cre], Chiung-Yu Huang [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@smu.edu>

Diff between reReg versions 1.4.5 dated 2023-01-27 and 1.4.6 dated 2023-09-20

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Package recommenderlab updated to version 1.0.6 with previous version 1.0.5 dated 2023-09-16

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Author: Michael Hahsler [aut, cre, cph] , Bregt Vereet [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package MixSemiRob updated to version 1.1.0 with previous version 1.0.0 dated 2023-04-28

Title: Mixture Models: Parametric, Semiparametric, and Robust
Description: Various functions are provided to estimate parametric mixture models (with Gaussian, t, Laplace, log-concave distributions, etc.) and non-parametric mixture models. The package performs hypothesis tests and addresses label switching issues in mixture models. The package also allows for parameter estimation in mixture of regressions, proportion-varying mixture of regressions, and robust mixture of regressions.
Author: Suyeon Kang [aut, cre] , Xin Shen [aut] , Weixin Yao [aut] , Sijia Xiang [aut], Yan Ge [aut, trl]
Maintainer: Suyeon Kang <suyeon.kang@ufl.edu>

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Package ie2misc updated to version 0.9.1 with previous version 0.9.0 dated 2022-11-24

Title: Irucka Embry's Miscellaneous USGS Functions
Description: A collection of Irucka Embry's miscellaneous USGS functions (processing .exp and .psf files, statistical error functions, "+" dyadic operator for use with NA, creating ADAPS and QW spreadsheet files, calculating saturated enthalpy). Irucka created these functions while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.
Author: Irucka Embry [aut, cre], Anne Hoos [ctb], and Timothy H. Diehl [ctb]
Maintainer: Irucka Embry <iembry@ecoccs.com>

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Package himach updated to version 0.3.2 with previous version 0.3.1 dated 2022-12-05

Title: High Mach Finds Routes for Supersonic Aircraft
Description: For supersonic aircraft, flying subsonic over land, find the best route between airports. Allow for coastal buffer and potentially closed regions. Use a minimal model of aircraft performance: the focus is on time saved versus subsonic flight, rather than on vertical flight profile. For modelling and forecasting, not for planning your flight!
Author: David Marsh [aut, cre], Enrico Spinielli [ctb], EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david6marsh@gmail.com>

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Package fastverse updated to version 0.3.2 with previous version 0.3.1 dated 2023-01-29

Title: A Suite of High-Performance Packages for Statistics and Data Manipulation
Description: Easy installation, loading and management, of high-performance packages for statistical computing and data manipulation in R. The core 'fastverse' consists of 4 packages: 'data.table', 'collapse', 'kit' and 'magrittr', that jointly only depend on 'Rcpp'. The 'fastverse' can be freely and permanently extended with additional packages, both globally or for individual projects. Separate package verses can also be created. Fast packages for many common tasks such as time series, dates and times, strings, spatial data, statistics, data serialization, larger-than-memory processing, and compilation of R code are listed in the README file: <https://github.com/fastverse/fastverse#suggested-extensions>.
Author: Sebastian Krantz [aut, cre], Hadley Wickham [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package CoxAIPW updated to version 0.0.3 with previous version 0.0.2 dated 2023-05-31

Title: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring
Description: Doubly robust estimation and inference of log hazard ratio under the Cox marginal structural model with informative censoring. An augmented inverse probability weighted estimator that involves 3 working models, one for conditional failure time T, one for conditional censoring time C and one for propensity score. Both models for T and C can depend on both a binary treatment A and additional baseline covariates Z, while the propensity score model only depends on Z. With the help of cross-fitting techniques, achieves the rate-doubly robust property that allows the use of most machine learning or non-parametric methods for all 3 working models, which are not permitted in classic inverse probability weighting or doubly robust estimators. When the proportional hazard assumption is violated, CoxAIPW estimates a causal estimated that is a weighted average of the time-varying log hazard ratio. Reference: Luo, J. (2023). Statistical Robustness - Distributed Linear Regression, Informative Censori [...truncated...]
Author: Jiyu Luo [cre, aut], Dennis Rava [aut], Ronghui Xu [aut]
Maintainer: Jiyu Luo <charlesluo1002@gmail.com>

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Package CalibrationCurves updated to version 2.0.0 with previous version 1.0.0 dated 2023-01-19

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See De Cock Campo (2023) <arXiv:2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: De Cock Bavo [aut, cre], Nieboer Daan [aut], Van Calster Ben [aut], Steyerberg Ewout [aut], Vergouwe Yvonne [aut]
Maintainer: De Cock Bavo <bavo.decock@kuleuven.be>

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New package BIOMASS with initial version 2.1.10
Package: BIOMASS
Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Version: 2.1.10
Date: 2023-09-18
Description: Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) manage tree and plot coordinates, (5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty. To cite 'BIOMASS', please use citation("BIOMASS"). See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.6)
URL: https://github.com/umr-amap/BIOMASS
BugReports: https://github.com/umr-amap/BIOMASS/issues
Imports: minpack.lm, raster, jsonlite, methods, proj4, graphics, stats, utils, data.table (>= 1.9.8), rappdirs, sp
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, prettydoc, testthat, httr, curl, sf
NeedsCompilation: no
Packaged: 2023-09-19 12:48:48 UTC; lamonica
Author: Maxime Rejou-Mechain [aut, dtc], Guillaume Cornu [aut] , Dominique Lamonica [aut, cre], Arthur Pere [aut], Ariane Tanguy [aut], Camille Piponiot [aut], Jerome Chave [dtc], Bruno Herault [aut], Ted Feldpausch [dtc], Philippe Verley [ctb]
Maintainer: Dominique Lamonica <dominique.lamonica@ird.fr>
Repository: CRAN
Date/Publication: 2023-09-20 07:40:06 UTC

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Package BGmisc updated to version 1.0 with previous version 0.1 dated 2020-12-04

Title: An R Package for Extended Behavior Genetics Analysis
Description: The BGmisc R package offers a comprehensive suite of functions tailored for extended behavior genetics analysis, including model identification, calculating relatedness, pedigree conversion, pedigree simulation, and more.
Author: S. Mason Garrison [aut, cre] , Michael D. Hunter [aut] , Xuanyu Lyu [aut] , Jonathan D. Trattner [aut] , S. Alexandra Burt [aut]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

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Package aggTrees updated to version 2.0.2 with previous version 2.0.1 dated 2023-08-08

Title: Aggregation Trees
Description: Nonparametric data-driven approach to discovering heterogeneous subgroups in a selection-on-observables framework. aggTrees allows researchers to assess whether there exists relevant heterogeneity in treatment effects by generating a sequence of optimal groupings, one for each level of granularity. For each grouping, we obtain point estimation and inference about the Group Average Treatment Effects. Please reference the use as Di Francesco (2022) <doi:10.2139/ssrn.4304256>.
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>

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Package VedicDateTime updated to version 0.1.9 with previous version 0.1.7 dated 2023-07-18

Title: Vedic Calendar System
Description: Provides platform for Vedic calendar system having several functionalities to facilitate conversion between Gregorian and Vedic calendar systems, and helpful in examining its impact in the time series analysis domain.
Author: Neeraj Dhanraj Bokde [aut, cre, cph], Prajwal Kailasnath Patil [aut], Saradindu Sengupta [aut], Andres Elias Feijoo Lorenzo [aut]
Maintainer: Neeraj Dhanraj Bokde <neerajdhanraj@gmail.com>

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Package PDtoolkit updated to version 1.2.0 with previous version 1.1.1 dated 2023-08-16

Title: Collection of Tools for PD Rating Model Development and Validation
Description: The goal of this package is to cover the most common steps in probability of default (PD) rating model development and validation. The main procedures available are those that refer to univariate, bivariate, multivariate analysis, calibration and validation. Along with accompanied 'monobin' and 'monobinShiny' packages, 'PDtoolkit' provides functions which are suitable for different data transformation and modeling tasks such as: imputations, monotonic binning of numeric risk factors, binning of categorical risk factors, weights of evidence (WoE) and information value (IV) calculations, WoE coding (replacement of risk factors modalities with WoE values), risk factor clustering, area under curve (AUC) calculation and others. Additionally, package provides set of validation functions for testing homogeneity, heterogeneity, discriminatory and predictive power of the model.
Author: Andrija Djurovic [aut, cre]
Maintainer: Andrija Djurovic <djandrija@gmail.com>

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Package yulab.utils updated to version 0.1.0 with previous version 0.0.9 dated 2023-09-01

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package rsm updated to version 2.10.4 with previous version 2.10.3 dated 2021-10-06

Title: Response-Surface Analysis
Description: Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis. A good reference on these methods is Chapter 10 of Wu, C-F J and Hamada, M (2009) "Experiments: Planning, Analysis, and Parameter Design Optimization" ISBN 978-0-471-69946-0. An early version of the package is documented in Journal of Statistical Software <doi:10.18637/jss.v032.i07>.
Author: Russell Lenth [aut, cre]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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Package NEONiso updated to version 0.6.4 with previous version 0.6.3 dated 2023-08-23

Title: Tools to Calibrate and Work with NEON Atmospheric Isotope Data
Description: Functions for downloading, calibrating, and analyzing atmospheric isotope data bundled into the eddy covariance data products of the National Ecological Observatory Network (NEON) <https://www.neonscience.org>. Calibration tools are provided for carbon and water isotope products. Carbon isotope calibration details are found in Fiorella et al. (2021) <doi:10.1029/2020JG005862>, and the readme file at <https://github.com/lanl/NEONiso>. Tools for calibrating water isotope products have been added as of 0.6.0, but have known deficiencies and should be considered very experimental currently.
Author: Rich Fiorella [aut, cre]
Maintainer: Rich Fiorella <rfiorella@lanl.gov>

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Tue, 19 Sep 2023

Package rugarch updated to version 1.5-1 with previous version 1.4-9 dated 2022-10-26

Title: Univariate GARCH Models
Description: ARFIMA, in-mean, external regressors and various GARCH flavors, with methods for fit, forecast, simulation, inference and plotting.
Author: Alexios Galanos [aut, cre], Tobias Kley [ctb]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package rmass2 updated to version 0.0.0.2 with previous version 0.0.0.1 dated 2023-08-21

Title: Repeated Measures with Attrition: Sample Sizes and Power Levels for 2 Groups
Description: For the calculation of sample size or power in a two-group repeated measures design, accounting for attrition and accommodating a variety of correlation structures for the repeated measures; details of the method can be found in the scientific paper: Donald Hedeker, Robert D. Gibbons, Christine Waternaux (1999) <doi:10.3102/10769986024001070>.
Author: Yiheng Wei [aut] , Soumya Sahu [aut, cre], Donald Hedeker [aut]
Maintainer: Soumya Sahu <ssahu6@uic.edu>

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Package jab.adverse.reactions updated to version 1.0.3 with previous version 1.0.1 dated 2022-01-13

Title: Possible Adverse Events/Reactions from the Vaccinations/Experimental Gene Therapies
Description: Provides data about the possible adverse events/reactions resulting from being injected with a vaccine/experimental gene therapy. Currently, this data set only includes information from six reference sources. Refer to the CITATION.cff file for the complete citations of the reference sources. For information about vaccination$/immunization$ hazards, visit <https://www.questionuniverse.com/rethink.html#vaccine>, <https://www.ecoccs.com/healing.html#vaccines>, <https://www.questionuniverse.com/rethink_current_crisis.html#cov_vaccin>, and <https://www.questionuniverse.com/vaccination.html>.
Author: Irucka Embry [aut, cre]
Maintainer: Irucka Embry <iembry@ecoccs.com>

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Package greenclust updated to version 1.1.1 with previous version 1.1.0 dated 2020-01-10

Title: Combine Categories Using Greenacre's Method
Description: Implements a method of iteratively collapsing the rows of a contingency table, two at a time, by selecting the pair of categories whose combination yields a new table with the smallest loss of chi-squared, as described by Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is compatible with the class of object returned by the 'stats' package's hclust() function and can be used similarly (plotted as a dendrogram, cut, etc.). Additional functions are provided for automatic cutting and diagnostic plotting.
Author: Jeff Jetton [aut, cre]
Maintainer: Jeff Jetton <jeff.jetton@gmail.com>

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Package epoxy updated to version 1.0.0 with previous version 0.1.1 dated 2023-06-11

Title: String Interpolation for Documents, Reports and Apps
Description: Extra strength 'glue' for data-driven templates. String interpolation for 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built on the 'glue' and 'whisker' packages.
Author: Garrick Aden-Buie [aut, cre] , Kushagra Gour [ctb] , The mustache.js community [ctb]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>

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Package Nmix updated to version 2.0.5 with previous version 2.0.4 dated 2023-07-19

Title: Bayesian Inference on Univariate Normal Mixtures
Description: A program for Bayesian analysis of univariate normal mixtures with an unknown number of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>. This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping between the parameter sub-spaces corresponding to different numbers of components in the mixture. A sample from the full joint distribution of all unknown variables is thereby generated, and this can be used as a basis for a thorough presentation of many aspects of the posterior distribution.
Author: Peter Green [aut, cre]
Maintainer: Peter Green <P.J.Green@bristol.ac.uk>

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Package IRTest updated to version 1.11.0 with previous version 1.7.0 dated 2023-08-17

Title: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution
Description: Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981 <doi:10.1007/BF02293801>). Within parameter estimation algorithm, several methods for latent distribution estimation are available (Li, 2022 <http://www.riss.kr/link?id=T16374105>). Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.
Author: Seewoo Li [aut, cre, cph]
Maintainer: Seewoo Li <cu@yonsei.ac.kr>

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Package apcluster updated to version 1.4.11 with previous version 1.4.10 dated 2022-05-31

Title: Affinity Propagation Clustering
Description: Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely analogous to the 'Matlab' code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.
Author: Ulrich Bodenhofer [aut, cre], Johannes Palme [ctb], Chrats Melkonian [ctb], Andreas Kothmeier [aut], Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <bodenhofer@bioinf.jku.at>

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New package ThurMod with initial version 1.1.11
Package: ThurMod
Title: Thurstonian CFA and Thurstonian IRT Modeling
Version: 1.1.11
Date: 2023-09-019
Description: Fit Thurstonian forced-choice models (CFA (simple and factor) and IRT) in R. This package allows for the analysis of item response modeling (IRT) as well as confirmatory factor analysis (CFA) in the Thurstonian framework. Currently, estimation can be performed by 'Mplus' and 'lavaan'. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Jansen, M. T., & Schulze, R. (in review). The Thurstonian linked block design: Improving Thurstonian modeling for paired comparison and ranking data.; Maydeu-Olivares & Böckenholt (2005) <doi:10.1037/1082-989X.10.3.285>.
VignetteBuilder: knitr
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: stats, utils, mvtnorm, MASS, matrixStats, lavaan
Suggests: rmarkdown, knitr
URL: https://github.com/MarkusTJansen/ThurMod
BugReports: https://github.com/MarkusTJansen/ThurMod/issues
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Packaged: 2023-09-19 10:58:18 UTC; Jansen
Author: Markus Thomas Jansen [aut, cre]
Maintainer: Markus Thomas Jansen <mjansen@uni-wuppertal.de>
Repository: CRAN
Date/Publication: 2023-09-19 16:50:02 UTC

More information about ThurMod at CRAN
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New package PEPBVS with initial version 1.0
Package: PEPBVS
Title: Bayesian Variable Selection using Power-Expected-Posterior Prior
Version: 1.0
Date: 2023-09-14
Maintainer: Konstantina Charmpi <xarmpi.kon@gmail.com>
Description: Performs Bayesian variable selection under normal linear models for the data with the model parameters following as prior either the power-expected-posterior (PEP) or the intrinsic (a special case of the former) (Fouskakis and Ntzoufras (2022) <doi: 10.1214/21-BA1288>, Fouskakis and Ntzoufras (2020) <doi: 10.3390/econometrics8020017>). The prior distribution on model space is the uniform on model space or the uniform on model dimension (a special case of the beta-binomial prior). The selection can be done either with full enumeration of all possible models or using the Markov Chain Monte Carlo Model Composition (MC3) algorithm (Madigan and York (1995) <doi: 10.2307/1403615>). Complementary functions for making predictions, as well as plotting and printing the results are also provided.
License: GPL (>= 2)
Imports: Matrix, Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppArmadillo, RcppGSL
SystemRequirements: GNU GSL
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2023-09-15 15:09:54 UTC; k.charbi
Author: Konstantina Charmpi [aut, cre], Dimitris Fouskakis [aut], Ioannis Ntzoufras [aut]
Repository: CRAN
Date/Publication: 2023-09-19 16:40:02 UTC

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Package skilljaR updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-09

Title: Connect to Your 'Skilljar' Data
Description: Functions that simplify calls to the 'Skilljar' API. See <https://api.skilljar.com/docs/> for documentation on the 'Skilljar' API. This package is not supported by 'Skilljar'.
Author: Chris Umphlett [aut, cre]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

Diff between skilljaR versions 0.1.1 dated 2023-06-09 and 0.1.2 dated 2023-09-19

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Package SpatEntropy updated to version 2.2-1 with previous version 2.2-0 dated 2022-11-22

Title: Spatial Entropy Measures
Description: The heterogeneity of spatial data presenting a finite number of categories can be measured via computation of spatial entropy. Functions are available for the computation of the main entropy and spatial entropy measures in the literature. They include the traditional version of Shannon's entropy (Shannon, 1948 <doi:10.1002/j.1538-7305.1948.tb01338.x>), Batty's spatial entropy (Batty, 1974 <doi:10.1111/j.1538-4632.1974.tb01014.x>), O'Neill's entropy (O'Neill et al., 1998 <doi:10.1007/BF00162741>), Li and Reynolds' contagion index (Li and Reynolds, 1993 <doi:10.1007/BF00125347>), Karlstrom and Ceccato's entropy (Karlstrom and Ceccato, 2002 <urn:nbn:se:kth:diva-61351>), Leibovici's entropy (Leibovici, 2009 <doi:10.1007/978-3-642-03832-7_24>), Parresol and Edwards' entropy (Parresol and Edwards, 2014 <doi:10.3390/e16041842>) and Altieri's entropy (Altieri et al., 2018, <doi:10.1007/s10651-017-0383-1>). Full references for all measures can be [...truncated...]
Author: L. Altieri, D. Cocchi, G. Roli
Maintainer: Altieri Linda <linda.altieri@unibo.it>

Diff between SpatEntropy versions 2.2-0 dated 2022-11-22 and 2.2-1 dated 2023-09-19

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New package mtsta with initial version 0.0.0.1
Package: mtsta
Title: Accessing the Red List of Montane Tree Species of the Tropical Andes
Version: 0.0.0.1
Description: Access the 'Red List of Montane Tree Species of the Tropical Andes' Tejedor Garavito et al.(2014, ISBN:978-1-905164-60-8). This package allows users to search for globally threatened tree species within the andean montane forests, including cloud forests and seasonal (wet) forests above 1500 m a.s.l.
License: MIT + file LICENSE
Suggests: dplyr, forcats, ggplot2, janitor, knitr, rmarkdown, stringr, testthat, tibble, tidyr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Date: 2023-09-16
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
URL: https://github.com/PaulESantos/mtsta
BugReports: https://github.com/PaulESantos/mtsta/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-09-19 01:13:22 UTC; user
Author: Paul E. Santos Andrade [aut, cre]
Repository: CRAN
Date/Publication: 2023-09-19 14:20:02 UTC

More information about mtsta at CRAN
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New package LearnSL with initial version 1.0.0
Package: LearnSL
Title: Learn Supervised Classification Methods Through Examples and Code
Version: 1.0.0
Description: Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.
URL: https://github.com/ComiSeng/LearnSL
BugReports: https://github.com/ComiSeng/LearnSL/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.1)
NeedsCompilation: no
Packaged: 2023-09-16 17:10:46 UTC; vicam
Author: Victor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego [ctb] , Universidad de Alcala [cph]
Maintainer: Victor Amador Padilla <victor.amador@edu.uah.es>
Repository: CRAN
Date/Publication: 2023-09-19 14:30:04 UTC

More information about LearnSL at CRAN
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New package FastStepGraph with initial version 0.1.0
Package: FastStepGraph
Title: Fast Step Graph: A Fast Sparse Precision Matrix Estimation Algorithm
Version: 0.1.0
Maintainer: Juan G. Colonna <juancolonna@icomp.ufam.edu.br>
Description: It implements an improved and computationally faster version of the original Stepwise Gaussian Graphical Algorithm for estimating the Omega precision matrix from high-dimensional data. Zamar, R., Ruiz, M., Lafit, G. and Nogales, J. (2021) <doi:10.52933/jdssv.v1i2.11>.
License: MIT + file LICENSE
URL: https://github.com/juancolonna/FastStepGraph
Depends: R (>= 4.3),
Imports: doParallel (>= 1.0), foreach (>= 1.5), MASS (>= 7.3)
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-19 02:49:09 UTC; juan
Author: Juan G. Colonna [cre, aut] , Marcelo Ruiz [aut]
Repository: CRAN
Date/Publication: 2023-09-19 14:30:07 UTC

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New package epidatr with initial version 1.0.0
Package: epidatr
Title: Client for Delphi's 'Epidata' API
Version: 1.0.0
Date: 2023-09-11
URL: https://cmu-delphi.github.io/epidatr/, https://cmu-delphi.github.io/delphi-epidata/, https://github.com/cmu-delphi/epidatr
BugReports: https://github.com/cmu-delphi/epidatr/issues
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cachem, checkmate, cli, httr, glue, jsonlite, magrittr, MMWRweek, purrr, openssl, readr, tibble, xml2
Suggests: dplyr, ggplot2, knitr, rmarkdown, rlang, testthat (>= 3.1.5), withr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-12 08:00:42 UTC; dsweber
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Alex Reinhart [ctb], Daniel McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2023-09-19 14:10:02 UTC

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Package diseasemapping updated to version 2.0.2 with previous version 2.0.1 dated 2023-09-17

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using 'INLA'. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown [aut, cre, cph], Lutong Zhou [aut]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between diseasemapping versions 2.0.1 dated 2023-09-17 and 2.0.2 dated 2023-09-19

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New package desk with initial version 1.1.0
Package: desk
Title: Didactic Econometrics Starter Kit
Version: 1.1.0
Description: Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2023, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).
URL: https://github.com/OvGU-SH/desk
BugReports: https://github.com/OvGU-SH/desk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, rstudioapi, stats, graphics, grDevices, utils
Suggests: stargazer, foreign, readxl, wooldridge, lmtest, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-09-18 16:06:43 UTC; vwl3_admin
Author: Soenke Hoffmann [cre, aut], Tobias Kranz [aut]
Maintainer: Soenke Hoffmann <sohoffma@ovgu.de>
Repository: CRAN
Date/Publication: 2023-09-19 14:10:06 UTC

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Package RcppInt64 updated to version 0.0.3 with previous version 0.0.2 dated 2023-09-12

Title: 'Rcpp'-Based Helper Functions to Pass 'Int64' and 'nanotime' Values Between 'R' and 'C++'
Description: 'Int64' values can be created and accessed via the 'bit64' package and its 'integer64' class which package the 'int64' representation cleverly into a 'double'. The 'nanotime' packages builds on this to support nanosecond-resolution timestamps. This packages helps conversions between 'R' and 'C++' via several helper functions provided via a single header file. A complete example client package is included as an illustration.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppInt64 versions 0.0.2 dated 2023-09-12 and 0.0.3 dated 2023-09-19

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Package alone updated to version 0.3 with previous version 0.2 dated 2023-05-29

Title: Datasets from the Survival TV Series Alone
Description: A collection of datasets on the Alone survival TV series in tidy format. Included in the package are 4 datasets detailing the survivors, their loadouts, episode details and season information.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

Diff between alone versions 0.2 dated 2023-05-29 and 0.3 dated 2023-09-19

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Package abess updated to version 0.4.8 with previous version 0.4.7 dated 2023-02-19

Title: Fast Best Subset Selection
Description: Extremely efficient toolkit for solving the best subset selection problem <https://www.jmlr.org/papers/v23/21-1060.html>. This package is its R interface. The package implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection <doi:10.1287/ijoc.2022.1241> and sure independence screening <doi:10.1111/j.1467-9868.2008.00674.x> are also provided.
Author: Jin Zhu [aut, cre] , Zezhi Wang [aut], Liyuan Hu [aut], Junhao Huang [aut], Kangkang Jiang [aut], Yanhang Zhang [aut], Borui Tang [aut], Shiyun Lin [aut], Junxian Zhu [aut], Canhong Wen [aut], Heping Zhang [aut] , Xueqin Wang [aut] , spectra contribu [...truncated...]
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

Diff between abess versions 0.4.7 dated 2023-02-19 and 0.4.8 dated 2023-09-19

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Package selection.index updated to version 1.2.0 with previous version 1.1.4 dated 2022-06-13

Title: Analysis of Selection Index in Plant Breeding
Description: The aim of most plant breeding programmes is simultaneous improvement of several characters. An objective method involving simultaneous selection for several attributes then becomes necessary. It has been recognised that most rapid improvements in the economic value is expected from selection applied simultaneously to all the characters which determine the economic value of a plant, and appropriate assigned weights to each character according to their economic importance, heritability and correlations between characters. So the selection for economic value is a complex matter. If the component characters are combined together into an index in such a way that when selection is applied to the index, as if index is the character to be improved, most rapid improvement of economic value is expected. Such an index was first proposed by Smith (1937 <doi:10.1111/j.1469-1809.1936.tb02143.x>) based on the Fisher's (1936 <doi:10.1111/j.1469-1809.1936.tb02137.x>) "discriminant function [...truncated...]
Author: Zankrut Goyani [aut, cre, cph]
Maintainer: Zankrut Goyani <zankrut20@gmail.com>

Diff between selection.index versions 1.1.4 dated 2022-06-13 and 1.2.0 dated 2023-09-19

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New package markophylo with initial version 1.0.9
Package: markophylo
Title: Markov Chain Models for Phylogenetic Trees
Version: 1.0.9
Date: 2023-09-14
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <utkarshdang@cunet.carleton.ca>
Description: Allows for fitting of maximum likelihood models using Markov chains on phylogenetic trees for analysis of discrete character data. Examples of such discrete character data include restriction sites, gene family presence/absence, intron presence/absence, and gene family size data. Hypothesis-driven user- specified substitution rate matrices can be estimated. Allows for biologically realistic models combining constrained substitution rate matrices, site rate variation, site partitioning, branch-specific rates, allowing for non-stationary prior root probabilities, correcting for sampling bias, etc. See Dang and Golding (2016) <doi:10.1093/bioinformatics/btv541> for more details.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.4), ape (>= 3.2), numDeriv (>= 2012.9.1), phangorn (>= 1.99.13), geiger
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (>= 1.10), testthat (>= 0.9.1), markdown (> 1.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2023-09-19 11:28:03 UTC; udang
Repository: CRAN
Date/Publication: 2023-09-19 12:20:03 UTC

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Package rio updated to version 1.0.1 with previous version 1.0.0 dated 2023-09-14

Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data structure from the file extension, reasonable defaults are used for data import and export (e.g., 'stringsAsFactors=FALSE'), web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly without explicit decompression, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Author: Jason Becker [aut], Chung-hong Chan [aut, cre] , David Schoch [aut] , Geoffrey CH Chan [ctb], Thomas J. Leeper [aut] , Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick K [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between rio versions 1.0.0 dated 2023-09-14 and 1.0.1 dated 2023-09-19

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Package mvQuad updated to version 1.0-8 with previous version 1.0-6 dated 2016-07-19

Title: Methods for Multivariate Quadrature
Description: Provides methods to construct multivariate grids, which can be used for multivariate quadrature. This grids can be based on different quadrature rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction of the multidimensional grid the product-rule or the combination- technique can be applied.
Author: Constantin Weiser
Maintainer: Constantin Weiser <constantin.weiser@gmail.com>

Diff between mvQuad versions 1.0-6 dated 2016-07-19 and 1.0-8 dated 2023-09-19

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Package ggblanket updated to version 5.1.0 with previous version 5.0.0 dated 2023-09-12

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph] , Nik Mitchell [ctb]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 5.0.0 dated 2023-09-12 and 5.1.0 dated 2023-09-19

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New package SimSurvey with initial version 0.1.6
Package: SimSurvey
Title: Test Surveys by Simulating Spatially-Correlated Populations
Version: 0.1.6
Maintainer: Paul Regular <Paul.Regular@dfo-mpo.gc.ca>
Description: Simulate age-structured populations that vary in space and time and explore the efficacy of a range of built-in or user-defined sampling protocols to reproduce the population parameters of the known population. (See Regular et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).
Depends: R (>= 3.5.0)
License: GPL-3
Additional_repositories: https://inla.r-inla-download.org/R/stable/
LazyData: true
ByteCompile: true
URL: https://paulregular.github.io/SimSurvey/
BugReports: https://github.com/PaulRegular/SimSurvey/issues
Imports: sf, stars, data.table, magrittr, progress, doParallel, parallel, foreach, plotly, rlang, lifecycle
Suggests: fields, rmarkdown, flexdashboard, shiny, crosstalk, htmltools, viridis, lme4, ggplot2, INLA, INLAspacetime, knitr, bezier
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-18 20:13:17 UTC; RegularP
Author: Paul Regular [aut, cre] , Jonathan Babyn [ctb], Greg Robertson [ctb]
Repository: CRAN
Date/Publication: 2023-09-19 10:50:10 UTC

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New package sfhotspot with initial version 0.8.0
Package: sfhotspot
Title: Hot-Spot Analysis with Simple Features
Version: 0.8.0
Description: Identify and understand clusters of points (typically representing the locations of places or events) stored in simple-features (SF) objects. This is useful for analysing, for example, hot-spots of crime events. The package emphasises producing results from point SF data in a single step using reasonable default values for all other arguments, to aid rapid data analysis by users who are starting out. Functions available include kernel density estimation (for details, see Yip (2020) <doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot classification (Chainey (2020) ISBN:158948584X).
License: MIT + file LICENSE
Language: en-GB
URL: http://pkgs.lesscrime.info/sfhotspot/
BugReports: https://github.com/mpjashby/sfhotspot/issues
Encoding: UTF-8
Imports: ggplot2, rlang, sf, SpatialKDE, spdep, tibble
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), lubridate, knitr, rmarkdown, ggspatial
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-18 16:07:31 UTC; mattashby
Author: Matt Ashby [aut, cre]
Maintainer: Matt Ashby <matthew.ashby@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2023-09-19 10:50:02 UTC

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New package nser with initial version 1.5.0
Package: nser
Title: Bhavcopy and Live Market Data from National Stock Exchange (NSE) & Bombay Stock Exchange (BSE) India
Version: 1.5.0
Date: 2023-09-18
Description: Download Current & Historical Bhavcopy. Get Live Market data from NSE India of Equities and Derivatives (F&O) segment. Data source <https://www.nseindia.com/>.
URL: https://github.com/nandp1/nser/
BugReports: https://github.com/nandp1/nser/issues
Language: en-US
License: GPL-3
Depends: R (>= 3.0)
Encoding: UTF-8
LazyData: TRUE
Imports: utils, readr, magrittr, rvest, stringr, googleVis, dplyr, lubridate, purrr, curl, reticulate, xml2
Suggests: rmarkdown, testthat (>= 3.0.0), knitr, reshape2
VignetteBuilder: knitr
Packaged: 2023-09-19 05:54:36 UTC; INP
Author: Nandan Patil [cre, aut]
Maintainer: Nandan Patil <tryanother609@gmail.com>
Repository: CRAN
NeedsCompilation: no
Date/Publication: 2023-09-19 10:50:06 UTC

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Package graphlayouts updated to version 1.0.1 with previous version 1.0.0 dated 2023-05-01

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between graphlayouts versions 1.0.0 dated 2023-05-01 and 1.0.1 dated 2023-09-19

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Package editbl updated to version 0.9.6 with previous version 0.9.5 dated 2023-09-05

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

Diff between editbl versions 0.9.5 dated 2023-09-05 and 0.9.6 dated 2023-09-19

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New package EpiStats with initial version 1.6-1
Package: EpiStats
Title: Tools for Epidemiologists
Version: 1.6-1
Date: 2023-09-18
Description: Provides set of functions aimed at epidemiologists. The package includes commands for measures of association and impact for case control studies and cohort studies. It may be particularly useful for outbreak investigations including univariable analysis and stratified analysis. The functions for cohort studies include the CS(), CSTable() and CSInter() commands. The functions for case control studies include the CC(), CCTable() and CCInter() commands.
License: LGPL-3
Depends: epiR, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-19 09:08:49 UTC; l.merdrignac
Author: Jean Pierre Decorps [aut], Esther Kissling [ctb], Lore Merdrignac [cre]
Maintainer: Lore Merdrignac <l.merdrignac@epiconcept.fr>
Repository: CRAN
Date/Publication: 2023-09-19 10:50:13 UTC

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Package restatapi updated to version 0.22.1 with previous version 0.21.2 dated 2023-08-08

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre], Sebastian Weinand [ctb]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

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Package LDATS updated to version 0.3.0 with previous version 0.2.7 dated 2020-03-19

Title: Latent Dirichlet Allocation Coupled with Time Series Analyses
Description: Combines Latent Dirichlet Allocation (LDA) and Bayesian multinomial time series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal data. LDA decomposes multivariate data into lower-dimension latent groupings, whose relative proportions are modeled using generalized Bayesian time series models that include abrupt changepoints and smooth dynamics. The methods are described in Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>, Western and Kleykamp (2004) <doi:10.1093/pan/mph023>, Venables and Ripley (2002, ISBN-13:978-0387954578), and Christensen et al. (2018) <doi:10.1002/ecy.2373>.
Author: Juniper L. Simonis [aut, cre] , Erica M. Christensen [aut] , David J. Harris [aut] , Renata M. Diaz [aut] , Hao Ye [aut] , Ethan P. White [aut] , S.K. Morgan Ernest [aut] , Weecology [cph]
Maintainer: Juniper L. Simonis <juniper.simonis@weecology.org>

Diff between LDATS versions 0.2.7 dated 2020-03-19 and 0.3.0 dated 2023-09-19

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Package volesti updated to version 1.1.2-7 with previous version 1.1.2-6 dated 2023-04-11

Title: Volume Approximation and Sampling of Convex Polytopes
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume of polytopes given by (i) a set of points, (ii) linear inequalities or (iii) Minkowski sum of segments (a.k.a. zonotopes). There are three algorithms for volume estimation as well as algorithms for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for estimating copulas useful in computational finance. Methods implemented in 'volesti' are described in A. Chalkis and V. Fisikopoulos (2022) <doi:10.32614/RJ-2021-077> and references therein.
Author: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com> [aut, cph, cre], Apostolos Chalkis <tolis.chal@gmail.com> [cph, aut], contributors in file inst/AUTHORS
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>

Diff between volesti versions 1.1.2-6 dated 2023-04-11 and 1.1.2-7 dated 2023-09-19

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Package rngSetSeed updated to version 0.3-3 with previous version 0.3-2 dated 2014-12-03

Title: Seeding the Default RNG with a Numeric Vector
Description: A function setVectorSeed() is provided. Its argument is a numeric vector of an arbitrary nonzero length, whose components have integer values from [0, 2^32-1]. The input vector is transformed using AES (Advanced Encryption Standard) algorithm into an initial state of Mersenne-Twister random number generator. The function provides a better alternative to the R base function set.seed(), if the input vector is a single integer. Initializing a stream of random numbers with a vector is a convenient way to obtain several streams, each of which is identified by several integer indices.
Author: Petr Savicky
Maintainer: Petr Savicky <savicky@cs.cas.cz>

Diff between rngSetSeed versions 0.3-2 dated 2014-12-03 and 0.3-3 dated 2023-09-19

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New package RFCCA with initial version 1.0.11
Package: RFCCA
Title: Random Forest with Canonical Correlation Analysis
Version: 1.0.11
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2021) <doi:10.1093/bioinformatics/btab158>. RFCCA uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule. LAPACK and BLAS libraries are used for matrix decompositions. The ‘RFCCA’ package includes the header files ‘lapacke.h’ and ‘cblas.h’ from the LAPACK and BLAS libraries. The LAPACK library is licensed under modified BSD license.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: CCA, PMA
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/calakus/RFCCA
BugReports: https://github.com/calakus/RFCCA/issues
NeedsCompilation: yes
Packaged: 2023-09-18 19:31:59 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2023-09-19 08:20:02 UTC

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Package renv updated to version 1.0.3 with previous version 1.0.2 dated 2023-08-15

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.0.2 dated 2023-08-15 and 1.0.3 dated 2023-09-19

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Package r3PG updated to version 0.1.6 with previous version 0.1.5 dated 2023-07-04

Title: Simulating Forest Growth using the 3-PG Model
Description: Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.
Author: Volodymyr Trotsiuk [aut, cre] , Florian Hartig [aut] , David Forrester [aut], Ramiro Silveyra Gonzalez [aut]
Maintainer: Volodymyr Trotsiuk <volodymyr.trotsiuk@wsl.ch>

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