CRANberries

Mon, 23 Dec 2024

New package sigugr with initial version 1.0.0
Package: sigugr
Title: Workflow for Geographic Data
Version: 1.0.0
Description: Streamlines geographic data transformation, storage and publication, simplifying data preparation and enhancing interoperability across formats and platforms.
License: MIT + file LICENSE
URL: https://josesamos.github.io/sigugr/, https://github.com/josesamos/sigugr
BugReports: https://github.com/josesamos/sigugr/issues
Depends: R (>= 2.10)
Imports: clc, gdalUtilities, httr, jsonlite, rpostgis, sf, snakecase, terra
Suggests: httptest2, knitr, mockery, purrr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2024-12-20 13:13:21 UTC; jsamos
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-12-23 11:20:01 UTC

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New package itmsa with initial version 0.1.0
Package: itmsa
Title: Information-Theoretic Measures for Spatial Association
Version: 0.1.0
Description: Leveraging information-theoretic measures like mutual information and v-measure to quantify spatial associations between patterns (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>; Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>).
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/itmsa/, https://github.com/stscl/itmsa
BugReports: https://github.com/stscl/itmsa/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, purrr, sdsfun (>= 0.6.0), sf
Suggests: knitr, Rcpp, RcppThread, readr, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-22 14:12:03 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 11:30:01 UTC

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New package ForestElementsR with initial version 2.0.1
Package: ForestElementsR
Title: Data Structures and Functions for Working with Forest Data
Version: 2.0.1
Date: 2024-12-20
Description: Provides generic data structures and algorithms for use with forest mensuration data in a consistent framework. The functions and objects included are a collection of broadly applicable tools. More specialized applications should be implemented in separate packages that build on this foundation. Documentation about 'ForestElementsR' is provided by three vignettes included in this package. For an introduction to the field of forest mensuration, refer to the textbooks by Kershaw et al. (2017) <doi:10.1002/9781118902028>, and van Laar and Akca (2007) <doi:10.1007/978-1-4020-5991-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: magrittr, ggplot2, tibble, dplyr, purrr, rlang, Rdpack, tidyr, vctrs, stringr, tidyselect (>= 1.2.0), doBy
Depends: R (>= 4.3), sf
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-20 21:06:25 UTC; peter
Author: Peter Biber [aut, cre, cph] , Astor Torano Caicoya [aut] , Torben Hilmers [ctb]
Maintainer: Peter Biber <p.biber@tum.de>
Repository: CRAN
Date/Publication: 2024-12-23 11:10:07 UTC

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New package dataset with initial version 0.3.4
Package: dataset
Title: Create Data Frames that are Easier to Exchange and Reuse
Version: 0.3.4
Date: 2024-12-20
Language: en-US
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Description: The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dataset.dataobservatory.eu/
BugReports: https://github.com/dataobservatory-eu/dataset/issues/
LazyData: true
Imports: assertthat, cli, haven, ISOcodes, labelled, methods, pillar, rlang, tibble, utils, vctrs (>= 0.5.2)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-20 19:39:04 UTC; antal
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev]
Repository: CRAN
Date/Publication: 2024-12-23 11:10:02 UTC

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New package TwoTimeScales with initial version 1.0.0
Package: TwoTimeScales
Title: Analysis of Event Data with Two Time Scales
Version: 1.0.0
URL: https://github.com/AngelaCar/TwoTimeScales, https://angelacar.github.io/TwoTimeScales/
Description: Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales and also, if covariates are available, to estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to estimate and to plot the two-dimensional smooth hazard. Extension to a competing risks model are implemented. For details about the method please refer to Carollo et al. (2024) <doi:10.1002/sim.10297>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: colorspace, Epi, fields, JOPS, LMMsolver, popEpi, reshape2, spam, ucminf, viridis
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/AngelaCar/TwoTimeScales/issues
NeedsCompilation: no
Packaged: 2024-12-20 08:58:34 UTC; Carollo
Author: Angela Carollo [aut, cre, cph] , Paul H.C. Eilers [aut], Jutta Gampe [aut]
Maintainer: Angela Carollo <carollo@demogr.mpg.de>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:10 UTC

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New package metalite.sl with initial version 0.1.0
Package: metalite.sl
Title: Subject-Level Analysis Using 'metalite'
Version: 0.1.0
Description: Analyzes subject-level data in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the subject-level analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Imports: glue, metalite, metalite.ae, forestly, r2rtf, reactable, stringr, rlang, plotly, htmltools, brew, uuid
Suggests: dplyr, knitr, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-20 05:05:16 UTC; fukuhiro
Author: Benjamin Wang [aut, cre], Yujie Zhao [aut], Hiroaki Fukuda [aut], PoYao Niu [aut], Nan Xiao [aut], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Benjamin Wang <benjamin.wang@merck.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:01 UTC

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New package HSAR with initial version 0.6.0
Package: HSAR
Title: Hierarchical Spatial Autoregressive Model
Version: 0.6.0
Description: A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) <doi:10.1111/gean.12049>). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://spatlyu.github.io/HSAR/, https://github.com/spatlyu/HSAR
BugReports: https://github.com/spatlyu/HSAR/issues
Depends: R (>= 3.5)
Imports: spdep, spatialreg, stats
Suggests: knitr, Matrix, RColorBrewer, Rcpp, RcppArmadillo, rmarkdown, sdsfun, sf, tidyverse
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-20 02:26:53 UTC; dell
Author: Guanpeng Dong [aut, cph] , Wenbo Lv [aut, cre] , Richard Harris [aut], Angelos Mimis [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:30:02 UTC

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New package hdthreshold with initial version 1.0.0
Package: hdthreshold
Title: Inference on Many Jumps in Nonparametric Panel Regression Models
Version: 1.0.0
Description: Provides uniform testing procedures for existence and heterogeneity of threshold effects in high-dimensional nonparametric panel regression models. The package accompanies the paper Chen, Keilbar, Su and Wang (2023) "Inference on many jumps in nonparametric panel regression models". arXiv preprint <doi:10.48550/arXiv.2312.01162>.
Imports: fdrtool, KernSmooth, rdrobust, stats
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-20 16:39:58 UTC; georg
Author: Georg Keilbar [aut, cre, cph], Likai Chen [ctb], Liangjun Su [ctb], Weining Wang [ctb]
Maintainer: Georg Keilbar <georg.keilbar@hu-berlin.de>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:06 UTC

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Sun, 22 Dec 2024

New package CopernicusMarine with initial version 0.2.4
Package: CopernicusMarine
Title: Search Download and Handle Data from Copernicus Marine Service Information
Version: 0.2.4
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Depends: R (>= 4.1.0)
Imports: crayon, dplyr, httr2, leaflet, purrr, rlang, sf, stringr, tidyr, utils, xml2
Suggests: lifecycle, ncmeta, stars, testthat (>= 3.0.0)
URL: https://github.com/pepijn-devries/CopernicusMarine, https://pepijn-devries.github.io/CopernicusMarine/
BugReports: https://github.com/pepijn-devries/CopernicusMarine/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-22 18:29:20 UTC; vries171
Repository: CRAN
Date/Publication: 2024-12-22 23:20:02 UTC

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Fri, 20 Dec 2024

New package desk with initial version 1.1.2
Package: desk
Title: Didactic Econometrics Starter Kit
Version: 1.1.2
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. (2024, 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: wooldridge
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-12-20 10:11:07 UTC; Name
Author: Soenke Hoffmann [cre, aut], Tobias Kranz [aut]
Maintainer: Soenke Hoffmann <sohoffma@ovgu.de>
Repository: CRAN
Date/Publication: 2024-12-20 12:40:06 UTC

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New package sTSD with initial version 0.1.0
Package: sTSD
Title: Simulate Time Series Diagnostics
Version: 0.1.0
Maintainer: Steven Miller <steve@svmiller.com>
Description: These are tools that allow users to do time series diagnostics, primarily tests of unit root, by way of simulation. While there is nothing necessarily wrong with the received wisdom of critical values generated decades ago, simulation provides its own perks. Not only is simulation broadly informative as to what these various test statistics do and what are their plausible values, simulation provides more flexibility for assessing unit root by way of different thresholds or different hypothesized distributions.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2024-12-19 13:45:13 UTC; steve
Author: Steven Miller [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-20 10:40:02 UTC

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New package multvardiv with initial version 1.0.10
Package: multvardiv
Title: Multivariate Probability Distributions, Statistical Divergence
Version: 1.0.10
Maintainer: Pierre Santagostini <pierre.santagostini@institut-agro.fr>
Description: Multivariate generalized Gaussian distribution, Multivariate Cauchy distribution, Multivariate t distribution. Distance between two distributions (see N. Bouhlel and A. Dziri (2019): <doi:10.1109/LSP.2019.2915000>, N. Bouhlel and D. Rousseau (2022): <doi:10.3390/e24060838>, N. Bouhlel and D. Rousseau (2023): <doi:10.1109/LSP.2023.3324594>). Manipulation of these multivariate probability distributions.
Depends: R (>= 4.4.0)
Imports: rgl, MASS, data.table
License: GPL (>= 3)
URL: https://forgemia.inra.fr/imhorphen/multvardiv
BugReports: https://forgemia.inra.fr/imhorphen/multvardiv/-/issues
Encoding: UTF-8
Suggests: testthat (>= 3.2.1)
NeedsCompilation: no
Packaged: 2024-12-19 16:27:32 UTC; psantagosti
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Repository: CRAN
Date/Publication: 2024-12-20 11:00:02 UTC

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New package ggtaxplot with initial version 0.0.1
Package: ggtaxplot
Title: Create Plots to Visualize Taxonomy
Version: 0.0.1
Maintainer: Clement Coclet <clement.coclet@gmail.com>
Description: Provides a comprehensive suite of functions for processing and visualizing taxonomic data. It includes functionality to clean and transform taxonomic data, categorize it into hierarchical ranks (such as Phylum, Class, Order, Family, and Genus), and calculate the relative abundance of each category. The package also generates a color palette for visual representation of the taxonomic data, allowing users to easily identify and differentiate between various taxonomic groups. Additionally, it features a river plot visualization to effectively display the distribution of individuals across different taxonomic ranks, facilitating insights into taxonomic visualization.
License: GPL-3
Imports: ggplot2, dplyr, tidyr, tidyverse, scales, RColorBrewer, cluster, vegan, ggalluvial, magrittr, rlang
Suggests: knitr, rmarkdown, testthat, devtools
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-19 17:39:58 UTC; ccoclet
Author: Clement Coclet [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-20 11:00:06 UTC

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New package ciphertext with initial version 0.1.0
Package: ciphertext
Title: Classical Cryptography Methods for Words and Phrases
Version: 0.1.0
Description: Classical cryptography methods for words and brief phrases. Substitution, transposition and concealment (null) ciphers are available, like Caesar, Vigenère, Atbash, affine, simple substitution, Playfair, rail fence, Scytale, single column, and Polybius ciphers.
License: GPL-3
URL: https://github.com/Luigi-Annic/ciphertext
BugReports: https://github.com/Luigi-Annic/ciphertext/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-19 14:37:44 UTC; luigi
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-20 10:40:05 UTC

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New package Certara.RsNLME.ModelBuilder with initial version 3.0.1
Package: Certara.RsNLME.ModelBuilder
Title: Pharmacometric Model Building Using 'shiny'
Version: 3.0.1
Description: Develop Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. The Pharmacometric Modeling Language (PML) code updates in real time given changes to user inputs. Models can be executed using the 'Certara.RsNLME' package. Additional support to generate the underlying 'Certara.RsNLME' code to recreate the corresponding model in R is provided in the user interface.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-RsNLME-model-builder/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: Certara.RsNLME, shinymeta, shinyAce, bslib (>= 0.7.0), data.table, DT, ggplot2, ggforce, htmltools, htmlwidgets, magrittr, methods, shiny (>= 1.7.0), shinyjs, shinyWidgets, tools, utils, fs
NeedsCompilation: no
Packaged: 2024-12-19 17:16:42 UTC; jcraig
Author: James Craig [aut, cre], Mike Talley [aut], Shuhua Hu [ctb], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2024-12-20 11:00:10 UTC

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New package bruneimap with initial version 0.3.1
Package: bruneimap
Title: Maps and Spatial Data of Brunei
Version: 0.3.1
Description: Provides spatial data for mapping Brunei, including boundaries for districts, mukims, and kampongs, as well as locations of key infrastructure such as masjids, hospitals, clinics, and schools. The package supports researchers, analysts, and developers working with Brunei’s geographic and demographic data, offering a quick and accessible foundation for creating maps and conducting spatial studies.
License: GPL (>= 3)
URL: https://github.com/Bruneiverse/bruneimap, https://bruneiverse.github.io/bruneimap/
BugReports: https://github.com/Bruneiverse/bruneimap/issues
Depends: R (>= 3.5), sf
Suggests: ggplot2, knitr, rmarkdown, tidyverse
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Imports: dplyr, lifecycle
NeedsCompilation: no
Packaged: 2024-12-19 12:57:23 UTC; haziqj
Author: Haziq Jamil [aut, cre, cph] , Hafeezul Raziq [ctb], Alvin Bong [ctb], Aniq Najwa Ariffin [ctb], Danish Ikhwan Mohamad Zainin [ctb], Muhammad Rayme Hijazi Jassrie [ctb], Angela Chan [ctb], Irdina Batrisyia Norharddyman [ctb], Nursyafiqah Mohammad Yusu [...truncated...]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-20 10:40:09 UTC

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New package backtestGraphics with initial version 0.1.7
Package: backtestGraphics
Title: Interactive Graphics for Portfolio Data
Description: Creates an interactive graphics interface to visualize backtest results of different financial instruments, such as equities, futures, and credit default swaps. The package does not run backtests on the given data set but displays a graphical explanation of the backtest results. Users can look at backtest graphics for different instruments, investment strategies, and portfolios. Summary statistics of different portfolio holdings are shown in the left panel, and interactive plots of profit and loss (P\&L), net market value (NMV) and gross market value (GMV) are displayed in the right panel.
Version: 0.1.7
Date: 2024-12-18
License: GPL-3
LazyData: true
Depends: R (>= 3.5.0)
Imports: dygraphs, dplyr, scales, xts, shiny
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-12-19 01:48:25 UTC; milz
Repository: CRAN
Date/Publication: 2024-12-20 10:30:02 UTC
Encoding: UTF-8
Author: Yanrong Song [aut, cre], Zijie Zhu [aut], David Kane [aut], Ziqi Lu [aut], Karan Tibrewal [aut], Fan Zhang [aut]
Maintainer: Yanrong Song <yrsong129@gmail.com>

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Thu, 19 Dec 2024

New package subincomeR with initial version 0.2.2
Package: subincomeR
Title: Access to Global Sub-National Income Data
Version: 0.2.2
Description: Provides access to granular sub-national income data from the MCC-PIK Database Of Sub-national Economic Output (DOSE). The package downloads and processes the data from its open repository on 'Zenodo' (<https://zenodo.org/records/13773040>). Functions are provided to fetch data at multiple geographic levels, match coordinates to administrative regions, and access associated geometries.
License: MIT + file LICENSE
URL: https://github.com/pablogguz/subincomeR, https://pablogguz.github.io/subincomeR/
BugReports: https://github.com/pablogguz/subincomeR/issues
Imports: countrycode, curl, dplyr, rlang, sf, tidygeocoder, utils, zip
Suggests: extrafont, fixest, ggplot2, ggtext, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-18 19:16:07 UTC; pablo
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:02 UTC

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New package RGS with initial version 1.0
Package: RGS
Title: Recursive Gradient Scanning Algorithm
Version: 1.0
Description: Provides a recursive gradient scanning algorithm for discretizing continuous variables in Logistic and Cox regression models. This algorithm is especially effective in identifying optimal cut-points for variables with U-shaped relationships to 'lnOR' (the natural logarithm of the odds ratio) or 'lnHR' (the natural logarithm of the hazard ratio), thereby enhancing model fit, interpretability, and predictive power. By iteratively scanning and calculating gradient changes, the method accurately pinpoints critical cut-points within nonlinear relationships, transforming continuous variables into categorical ones. This approach improves risk classification and regression analysis performance, increasing interpretability and practical relevance in clinical and risk management settings.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rms, SemiPar, survival
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-19 00:44:14 UTC; 14715
Author: Shuo Yang [aut, cre], Yi Fei [aut], Jinxin Zhang [ths]
Maintainer: Shuo Yang <yangsh223@mail2.sysu.edu.cn>
Repository: CRAN
Date/Publication: 2024-12-19 20:50:02 UTC

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New package fmpapi with initial version 0.2.0
Package: fmpapi
Title: Flexible Client for the 'Financial Modeling Prep' API
Version: 0.2.0
Description: Provides a flexible interface to the 'Financial Modeling Prep' API <https://site.financialmodelingprep.com/developer/docs>. The package supports all available endpoints and parameters, enabling R users to interact with a wide range of financial data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: httr2 (>= 1.0.0), dplyr (>= 1.0.0), cli (>= 1.0.0)
Suggests: spelling, testthat (>= 3.0.0)
URL: https://github.com/tidy-finance/r-fmpapi, https://tidy-finance.github.io/r-fmpapi/
BugReports: https://github.com/tidy-finance/r-fmpapi/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-18 18:37:47 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:05 UTC

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New package creditr with initial version 0.6.2
Package: creditr
Version: 0.6.2
Date: 2024-12-15
Title: Credit Default Swaps
Depends: R (>= 3.1.0)
Imports: utils, quantmod, devtools, methods, Rcpp (>= 0.10.6), RCurl, XML, zoo, xts
LinkingTo: Rcpp
Suggests: testthat
License: file LICENSE
URL: https://github.com/yanrong-stacy-song/creditr
Description: Price credit default swaps using 'C' code from the International Swaps and Derivatives Association CDS Standard Model. See <https://www.cdsmodel.com/cdsmodel/documentation.html> for more information about the model and <https://www.cdsmodel.com/cdsmodel/cds-disclaimer.html> for license details for the 'C' code.
LazyData: true
Repository: CRAN
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-12-19 03:11:31 UTC; milz
Author: Yanrong Song [aut, cre], Zijie Zhu [aut], David Kane [aut], Heidi Chen [aut], Yuanchu Dang [aut], Yang Lu [aut], Kanishka Malik [aut], Skylar Smith [aut], International Swaps and Derivatives Association [cph]
Maintainer: Yanrong Song <yrsong129@gmail.com>
Date/Publication: 2024-12-19 21:00:02 UTC

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New package cpp11qpdf with initial version 1.3.5
Package: cpp11qpdf
Title: Split, Combine and Compress PDF Files
Version: 1.3.5
Description: Bindings to 'qpdf': 'qpdf' (<https://qpdf.sourceforge.io/>) is a an open-source PDF rendering library that allows to conduct content-preserving transformations of PDF files such as split, combine, and compress PDF files.
License: Apache License (>= 2)
URL: https://pacha.dev/cpp11qpdf/
BugReports: https://github.com/pachadotdev/cpp11qpdf/issues
SystemRequirements: libjpeg ( deb: libjpeg-dev, rpm: libjpeg-devel, brew: libjpeg )
Imports: curl
LinkingTo: cpp11
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-18 19:37:59 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Jeroen Ooms [aut] , Ben Raymond [ctb], Jay Berkenbilt [cph] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:09 UTC

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New package bivariateLeaflet with initial version 0.1.0
Package: bivariateLeaflet
Title: Create Bivariate Choropleth Maps with 'Leaflet'
Version: 0.1.0
Description: Creates bivariate choropleth maps using 'Leaflet'. This package provides tools for visualizing the relationship between two variables through a color matrix representation on an interactive map.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: leaflet, dplyr, htmltools, rlang, sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tidycensus, tidyr
VignetteBuilder: knitr
Depends: R (>= 3.50)
NeedsCompilation: no
Packaged: 2024-12-18 18:50:51 UTC; mduprey
Author: Michael Duprey [aut, cre], Chris Inkpen [ctb]
Maintainer: Michael Duprey <mduprey@rti.org>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:13 UTC

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New package ZIM4rv with initial version 0.1.1
Package: ZIM4rv
Title: Gene‐based Association Tests of Zero‐inflated Count Phenotype for Rare Variants
Version: 0.1.1
Maintainer: Xiaomin Liu <e0717571@u.nus.edu>
Description: Gene‐based association tests to model count data with excessive zeros and rare variants using zero-inflated Poisson/zero-inflated negative Binomial regression framework. This method was originally described by Fan, Sun, and Li in Genetic Epidemiology 46(1):73-86 <doi:10.1002/gepi.22438>.
License: GPL-3
URL: https://github.com/fanx0037/ZIM4rv
Encoding: UTF-8
LazyData: true
Depends: data.table, pscl, CompQuadForm, stats, SKAT, RNOmni, R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/fanx0037/ZIM4rv/issues
NeedsCompilation: no
Packaged: 2024-12-18 13:34:34 UTC; liuxiaomin
Author: Xiaomin Liu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-19 16:10:07 UTC

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New package capesR with initial version 0.1.0
Package: capesR
Title: Access to CAPES Data
Version: 0.1.0
Date: 2024-12-17
Description: Provides simplified access to the data from the Catalog of Theses and Dissertations of the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES, <https://catalogodeteses.capes.gov.br>) for the years 1987 through 2022. The dataset includes variables such as Higher Education Institution (institution), Area of Concentration (area), Graduate Program Name (program_name), Type of Work (type), Language of Work (language), Author Identification (author), Abstract (abstract), Advisor Identification (advisor), Development Region (region), State (state).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: arrow, dplyr, magrittr, rlang, stringr, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: <https://github.com/hugoavmedeiros/capesR>
NeedsCompilation: no
Packaged: 2024-12-18 16:37:22 UTC; leite
Author: Hugo Vasconcelos Medeiros [aut, cre], Dalson Figueiredo Filho [aut], Andre Leite [aut]
Maintainer: Hugo Vasconcelos Medeiros <hugo.medeiros@ufpe.br>
Repository: CRAN
Date/Publication: 2024-12-19 16:20:02 UTC

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New package sae.projection with initial version 0.1.0
Package: sae.projection
Title: Small Area Estimation Using Model-Assisted Projection Method
Version: 0.1.0
Description: Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/Alfrzlp/sae.projection
BugReports: https://github.com/Alfrzlp/sae.projection/issues
Imports: cli, doParallel, dplyr, methods, parsnip, recipes, rlang, rsample, stats, survey, tune, workflows, yardstick, bonsai, ranger, lightgbm
Depends: R (>= 4.3.0), tidymodels
NeedsCompilation: no
Packaged: 2024-12-18 08:10:00 UTC; alfrz
Author: Ridson Al Farizal P [aut, cre, cph] , Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <ridsonalfarizal15@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 15:40:02 UTC

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New package doParabar with initial version 1.0.2
Package: doParabar
Title: 'foreach' Parallel Adapter for 'parabar' Backends
Version: 1.0.2
Description: Provides a 'foreach' parallel adapter for 'parabar' backends. This package offers a minimal implementation of the '%dopar%' operator, enabling users to run 'foreach' loops in parallel, leveraging the parallel and progress-tracking capabilities of the 'parabar' package. Learn more about 'parabar' and 'doParabar' at <https://parabar.mihaiconstantin.com>.
License: MIT + file LICENSE
URL: https://github.com/mihaiconstantin/doParabar, https://parabar.mihaiconstantin.com/articles/foreach
BugReports: https://github.com/mihaiconstantin/doParabar/issues
Imports: parabar, foreach, iterators, utils
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-18 10:34:28 UTC; mihai
Author: Mihai Constantin [aut, cre]
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>
Repository: CRAN
Date/Publication: 2024-12-19 16:00:05 UTC

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New package DEploid.utils with initial version 0.0.1
Package: DEploid.utils
Title: 'DEploid' Data Analysis and Results Interpretation
Version: 0.0.1
Description: 'DEploid' (Zhu et.al. 2018 <doi:10.1093/bioinformatics/btx530>) is designed for deconvoluting mixed genomes with unknown proportions. Traditional phasing programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting. This package provides R functions to support data analysis and results interpretation.
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.11.2), scales (>= 0.4.0), magrittr (>= 1.5), combinat
Suggests: knitr, rmarkdown(>= 1.6), circlize, testthat (>= 0.9.0)
LinkingTo: Rcpp
Encoding: UTF-8
Date: 2024-11-18
License: Apache License (>= 2)
NeedsCompilation: yes
Packaged: 2024-12-18 12:02:05 UTC; rstudio
Author: Joe Zhu [aut, cre] , Jacob Almagro-Garcia [aut], Gil McVean [aut], University of Oxford [cph], Yinghan Liu [ctb], CodeCogs Zyba Ltd [com, cph], Deepak Bandyopadhyay [com, cph], Lutz Kettner [com, cph]
Maintainer: Joe Zhu <sha.joe.zhu@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 16:00:18 UTC

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New package Cleanet with initial version 1.0.0
Package: Cleanet
Title: Automated Doublet Detection and Classification for Cytometry Data
Version: 1.0.0
Description: Automated method for doublet detection in flow or mass cytometry data, based on simulating doublets and finding events whose protein expression patterns are similar to the simulated doublets.
Imports: Rcpp, RcppHNSW, ggplot2, dplyr, tidyr, readr, reshape2, tibble, magrittr, methods
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, vctrs
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-18 04:51:03 UTC; matei
Author: Matei Ionita [aut, cre]
Maintainer: Matei Ionita <matei.ionita@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 15:30:11 UTC

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New package rgeoda with initial version 0.0.11-1
Package: rgeoda
Title: R Library for Spatial Data Analysis
Version: 0.0.11-1
Date: 2024-12-18
Maintainer: Xun Li <lixun910@gmail.com>
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
URL: https://github.com/geodacenter/rgeoda/, https://geodacenter.github.io/rgeoda/
BugReports: https://github.com/geodacenter/rgeoda/issues/
Depends: R (>= 4.0.0), methods, digest
License: GPL (>= 2)
Imports: sf, Rcpp (>= 1.0.1)
LinkingTo: Rcpp, BH (>= 1.87.0-1)
Encoding: UTF-8
Suggests: wkb, sp
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2024-12-18 17:46:04 UTC; xun
Author: Xun Li [aut, cre], Luc Anselin [aut]
Repository: CRAN
Date/Publication: 2024-12-19 08:30:02 UTC

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Wed, 18 Dec 2024

New package pwrFDR with initial version 3.2.2
Package: pwrFDR
Version: 3.2.2
Title: FDR Power
Imports: flextable, ggplot2, methods, mvtnorm, stats, stringr, TableMonster
Description: Computing Average and TPX Power under various BHFDR type sequential procedures. All of these procedures involve control of some summary of the distribution of the FDP, e.g. the proportion of discoveries which are false in a given experiment. The most widely known of these, the BH-FDR procedure, controls the FDR which is the mean of the FDP. A lesser known procedure, due to Lehmann and Romano, controls the FDX, or probability that the FDP exceeds a user provided threshold. This is less conservative than FWE control procedures but much more conservative than the BH-FDR proceudre. This package and the references supporting it introduce a new procedure for controlling the FDX which we call the BH-FDX procedure. This procedure iteratively identifies, given alpha and lower threshold delta, an alpha* less than alpha at which BH-FDR guarantees FDX control. This uses asymptotic approximation and is only slightly more conservative than the BH-FDR procedure. Likewise, we can think of the power i [...truncated...]
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-12-18 16:31:02 UTC; izmirlig
Author: Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>
Repository: CRAN
Date/Publication: 2024-12-18 17:00:02 UTC

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New package catalytic with initial version 0.1.0
Package: catalytic
Title: Tools for Applying Catalytic Priors in Statistical Modeling
Version: 0.1.0
Description: To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: coda, invgamma, rlang, rstan, stats, truncnorm, MASS, lme4, quadform, survival, methods
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown, testthat, pROC
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 08:57:19 UTC; rosewu
Author: Yitong Wu [aut] , Dongming Huang [aut, cre] , Weihao Li [aut], Ministry of Education, Singapore [fnd] .)
Maintainer: Dongming Huang <huang.dongming@nus.edu.sg>
Repository: CRAN
Date/Publication: 2024-12-18 16:10:02 UTC

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New package BAREB with initial version 0.1.2
Package: BAREB
Title: A Bayesian Repulsive Biclustering Model for Periodontal Data
Version: 0.1.2
Description: Simultaneously clusters the Periodontal diseases (PD) patients and their tooth sites after taking the patient- and site-level covariates into consideration. 'BAREB' uses the determinantal point process (DPP) prior to induce diversity among different biclusters to facilitate parsimony and interpretability. Essentially, 'BAREB' is a cluster-wise linear model based on Yuliang (2020) <doi:10.1002/sim.8536>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Repository: CRAN
Packaged: 2024-12-18 01:27:43 UTC; kevin_liu
Author: Yuliang Li [aut], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb], Qingyang Liu [aut, cre]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Date/Publication: 2024-12-18 16:10:08 UTC

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New package tatooheene with initial version 0.19.0
Package: tatooheene
Title: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Version: 0.19.0
Description: Functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/publicaties/publicatie/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr (>= 1.1.4), assertthat (>= 0.2.1), tidyr (>= 1.3.0), stats
Suggests: cbsodataR, lubridate, here, testthat
NeedsCompilation: no
Packaged: 2024-12-17 16:45:33 UTC; 85304spe
Author: Frederick Thielen [aut] , Stijn Peeters [aut, cre]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>
Repository: CRAN
Date/Publication: 2024-12-18 15:50:06 UTC

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New package stepSplitReg with initial version 1.0.4
Package: stepSplitReg
Title: Stepwise Split Regularized Regression
Version: 1.0.4
Date: 2024-12-16
Description: Functions to perform stepwise split regularized regression. The approach first uses a stepwise algorithm to split the variables into the models with a goodness of fit criterion, and then regularization is applied to each model. The weights of the models in the ensemble are determined based on a criterion selected by the user.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.7), SplitGLM, nnls
Suggests: testthat, mvnfast, vctrs
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-12-17 03:35:48 UTC; anthony
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2024-12-18 15:20:02 UTC

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New package splineCox with initial version 0.0.1
Package: splineCox
Title: A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function
Version: 0.0.1
Maintainer: Ren Teranishi <ren.teranishi1227@gmail.com>
Description: Implements a two-stage estimation approach for Cox regression using five-parameter M-spline functions to model the baseline hazard. It allows for flexible hazard shapes and model selection based on log-likelihood criteria.
License: GPL (>= 3)
Encoding: UTF-8
Imports: joint.Cox
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-17 23:10:49 UTC; a223ms012t
Author: Ren Teranishi [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-18 16:00:02 UTC

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New package spanishoddata with initial version 0.1.0
Package: spanishoddata
Title: Get Spanish Origin-Destination Data
Version: 0.1.0
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
License: MIT + file LICENSE
URL: https://rOpenSpain.github.io/spanishoddata/, https://github.com/rOpenSpain/spanishoddata
BugReports: https://github.com/rOpenSpain/spanishoddata/issues
Depends: R (>= 3.5.0)
Imports: checkmate, curl (>= 5.0.0), DBI, dplyr, duckdb (>= 0.5.0), fs, glue, here, httr2, lubridate, memuse, parallelly, purrr, readr, rlang, sf, stats, stringr, tibble, xml2
Suggests: flowmapblue, flowmapper (>= 0.1.2), furrr, future, hexSticker, mapSpain, quarto, remotes, scales, testthat (>= 3.0.0), tidyverse
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-17 11:48:19 UTC; ek
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-18 15:40:02 UTC

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New package shinychat with initial version 0.1.1
Package: shinychat
Title: Chat UI Component for 'shiny'
Version: 0.1.1
Description: Provides a scrolling chat interface with multiline input, suitable for creating chatbot apps based on Large Language Models (LLMs). Designed to work particularly well with the 'elmer' R package for calling LLMs.
License: MIT + file LICENSE
URL: https://github.com/jcheng5/shinychat, https://jcheng5.github.io/shinychat/
BugReports: https://github.com/jcheng5/shinychat/issues
Imports: bslib, coro, htmltools, promises (>= 1.3.2), rlang, shiny (>= 1.10.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-17 19:02:58 UTC; jcheng
Author: Joe Cheng [aut, cre], Carson Sievert [aut], Posit Software, PBC [cph, fnd]
Maintainer: Joe Cheng <joe@posit.co>
Repository: CRAN
Date/Publication: 2024-12-18 15:50:10 UTC

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New package PSGD with initial version 1.0.4
Package: PSGD
Title: Projected Subset Gradient Descent
Version: 1.0.4
Date: 2024-12-16
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
License: GPL (>= 2)
Biarch: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.7)
Suggests: testthat, mvnfast, vctrs
NeedsCompilation: yes
Packaged: 2024-12-17 03:09:42 UTC; anthony
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Repository: CRAN
Date/Publication: 2024-12-18 15:20:06 UTC

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New package adas.utils with initial version 1.0.0
Package: adas.utils
Title: Design of Experiments and Factorial Plans Utilities
Version: 1.0.0
Description: A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses. DoE approach follows the approach in "Design and Analysis of Experiments" by Douglas C. Montgomery (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in the course "Analysis of Data and Statistics" at the University of Trento, Italy.
Depends: R (>= 4.0.0)
License: CC BY 4.0
Encoding: UTF-8
Imports: dplyr, gghalfnorm, ggplot2, glue, grDevices, lubridate, magrittr, purrr, readr, rlang, scales, stats, stringr, tibble, tidyr, utils
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 12:06:56 UTC; p4010
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>
Repository: CRAN
Date/Publication: 2024-12-18 15:40:07 UTC

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New package elrm with initial version 1.2.6
Package: elrm
Version: 1.2.6
Date: 2024-12-17
Title: Exact Logistic Regression via MCMC
Author: David Zamar [aut, cre], Jinko Graham [aut], Brad McNeney [aut]
Maintainer: David Zamar <zamar.david@gmail.com>
Depends: R(>= 2.7.2), coda, graphics, stats
Description: Implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference. See Zamar et al. (2007) <doi:10.18637/jss.v021.i03> for more details.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2024-12-18 06:37:09 UTC; zamar
Date/Publication: 2024-12-18 08:00:07 UTC

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New package datacutr with initial version 0.2.1
Package: datacutr
Title: SDTM Datacut
Version: 0.2.1
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
License: Apache License (>= 2)
BugReports: https://github.com/pharmaverse/datacutr/issues
URL: https://pharmaverse.github.io/datacutr/, https://github.com/pharmaverse/datacutr
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: admiraldev (>= 0.3.0), assertthat (>= 0.2.1), dplyr (>= 1.0.5), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), stringr (>= 1.4.0), rlang (>= 0.4.4), tibble (>= 3.0.0), reactable (>= 0.4.4)
Suggests: devtools, lintr, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, styler, usethis, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 15:12:35 UTC; barnett1
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>
Repository: CRAN
Date/Publication: 2024-12-18 08:00:15 UTC

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Tue, 17 Dec 2024

New package pacu with initial version 0.1.44
Package: pacu
Title: Precision Agriculture Computational Utilities
Version: 0.1.44
Description: Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Depends: R (>= 4.0.0)
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
BugReports: https://github.com/cldossantos/pacu/issues
Imports: apsimx, gstat, httr, jsonlite, sf, stars, units, XML, concaveman, tmap
Suggests: knitr, ggplot2, patchwork, mgcv, nasapower, spData, rmarkdown
NeedsCompilation: no
Packaged: 2024-12-16 20:47:07 UTC; caio
Author: dos Santos Caio [aut, cre], Miguez Fernando [aut]
Maintainer: dos Santos Caio <clsantos@iastate.edu>
Repository: CRAN
Date/Publication: 2024-12-17 10:20:02 UTC

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New package greta.gam with initial version 0.2.0
Package: greta.gam
Title: Generalised Additive Models in 'greta' using 'mgcv'
Version: 0.2.0
Description: A 'greta' (Golding (2019) <doi:10.21105/joss.01601>) module that lets you use 'mgcv' smoother functions and formula syntax to define smooth terms for use in a 'greta' model. You can then define your own likelihood to complete the model, and fit it by Markov Chain Monte Carlo (MCMC).
License: Apache License (>= 2)
Imports: cli, mgcv, rlang, stats
Depends: greta (>= 0.5.0), R (>= 4.1.0)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/greta-dev/greta.gam, https://greta-dev.github.io/greta.gam/
BugReports: https://github.com/greta-dev/greta.gam/issues
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2024-12-17 00:00:37 UTC; nick
Author: Nick Golding [aut, cph] , Nicholas Tierney [aut, cre] , David L Miller [aut]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-17 10:40:02 UTC

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New package exhaustiveRasch with initial version 0.3.7
Package: exhaustiveRasch
Title: Item Selection and Exhaustive Search for Rasch Models
Version: 0.3.7
Date: 2024-12-16
Description: Automation of the item selection processes for Rasch scales by means of exhaustive search for suitable Rasch models (dichotomous, partial credit, rating-scale) in a list of item-combinations. The item-combinations to test can be either all possible combinations or item-combinations can be defined by several rules (forced inclusion of specific items, exclusion of combinations, minimum/maximum items of a subset of items). Tests for model fit and item fit include ordering of the thresholds, item fit-indices, likelihood ratio test, Martin-Löf test, Wald-like test, person-item distribution, person separation index, principal components of Rasch residuals, empirical representation of all raw scores or Rasch trees for detecting differential item functioning. The tests, their ordering and their parameters can be defined by the user. For parameter estimation and model tests, functions of the packages 'eRm', 'psychotools' or 'pairwise' can be used.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: eRm, psychotree, parallel, stats, utils, psych, tictoc, methods, psychotools, pairwise, arrangements, pbapply
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/chrgrebe/exhaustiveRasch
BugReports: https://github.com/chrgrebe/exhaustiveRasch/issues
NeedsCompilation: no
Packaged: 2024-12-16 21:25:53 UTC; Chris
Author: Christian Grebe [cre, aut] , Mirko Schuermann [aut] , Joerg-Henrik Heine [ctb], Patrick Mair [ctb], Thomas Rusch [ctb], Reinhold Hatzinger [ctb], Marco J. Maier [ctb], Rudolf Debelak [ctb]
Maintainer: Christian Grebe <grebe@hepcos.com>
Repository: CRAN
Date/Publication: 2024-12-17 10:30:02 UTC

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New package qPRAentry with initial version 0.1.0
Package: qPRAentry
Title: Quantitative Pest Risk Assessment at the Entry Step
Version: 0.1.0
Description: Supports risk assessors in performing the entry step of the quantitative Pest Risk Assessment. It allows the estimation of the amount of a plant pest entering a risk assessment area (in terms of founder populations) through the calculation of the imported commodities that could be potential pathways of pest entry, and the development of a pathway model. Two 'Shiny' apps based on the functionalities of the package are included, that simplify the process of assessing the risk of entry of plant pests. The approach is based on the work of the European Food Safety Authority (EFSA PLH Panel et al., 2018) <doi:10.2903/j.efsa.2018.5350>.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: bsplus, dplyr, DT, eurostat (>= 4.0.0), ggiraph, ggplot2, giscoR (>= 0.6.0), memoise, purrr, sf, shiny, shinycssloaders, shinyjs, shinyWidgets, stats, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-16 20:16:57 UTC; Usuario
Author: Martina Cendoya [aut, cre] , Maria Chiara Rosace [aut]
Maintainer: Martina Cendoya <cendoya_marmar@gva.es>
Repository: CRAN
Date/Publication: 2024-12-17 10:00:01 UTC

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New package GrowthCurveME with initial version 0.1.0
Package: GrowthCurveME
Title: Mixed-Effects Modeling for Growth Data
Version: 0.1.0
Description: Simple and user-friendly wrappers to the 'saemix' package for performing linear and non-linear mixed-effects regression modeling for growth data to account for clustering or longitudinal analysis via repeated measurements. The package allows users to fit a variety of growth models, including linear, exponential, logistic, and 'Gompertz' functions. For non-linear models, starting values are automatically calculated using initial least-squares estimates. The package includes functions for summarizing models, visualizing data and results, calculating doubling time and other key statistics, and generating model diagnostic plots and residual summary statistics. It also provides functions for generating publication-ready summary tables for reports. Additionally, users can fit linear and non-linear least-squares regression models if clustering is not applicable. The mixed-effects modeling methods in this package are based on Comets, Lavenu, and Lavielle (2017) <doi:10.18637/jss.v080.i03&g [...truncated...]
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.1.4), flextable (>= 0.9.6), ggplot2 (>= 3.5.1), investr (>= 1.4.2), knitr (>= 1.46), magrittr (>= 2.0.3), minpack.lm (>= 1.2-4), moments (>= 0.14.1), patchwork (>= 1.2.0), rlang (>= 1.1.3), saemix (>= 3.3), stringr (>= 1.5.1), tibble (>= 3.2.1), tidyr (>= 1.3.1), viridis (>= 0.6.5)
Suggests: rmarkdown (>= 2.27), testthat (>= 3.2.1.1)
Encoding: UTF-8
LazyData: true
URL: https://github.com/cancermodels-org/GrowthCurveME
BugReports: https://github.com/cancermodels-org/GrowthCurveME/issues
NeedsCompilation: no
Packaged: 2024-12-16 19:54:20 UTC; anand
Author: Anand Panigrahy [aut, cre] , Sonam Bhatia [ctb] , Thomas Quinn [dtc], Aniket Shetty [rev], Keith Ligon [fnd] , Center for Patient-Derived Models Dana-Farber Cancer Institute [cph]
Maintainer: Anand Panigrahy <anand_panigrahy@dfci.harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-17 09:50:08 UTC

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New package fuseMLR with initial version 0.0.1
Package: fuseMLR
Title: Fusing Machine Learning in R
Version: 0.0.1
Maintainer: Cesaire J. K. Fouodo <cesaire.kuetefouodo@uni-luebeck.de>
Description: Recent technological advances have enable the simultaneous collection of multi-omics data i.e., different types or modalities of molecular data, presenting challenges for integrative prediction modeling due to the heterogeneous, high-dimensional nature and possible missing modalities of some individuals. We introduce this package for late integrative prediction modeling, enabling modality-specific variable selection and prediction modeling, followed by the aggregation of the modality-specific predictions to train a final meta-model. This package facilitates conducting late integration predictive modeling in a systematic, structured, and reproducible way.
License: GPL-3
Encoding: UTF-8
Imports: R6, stats, digest
Suggests: testthat (>= 3.0.0), UpSetR (>= 1.4.0), caret, ranger, glmnet, Boruta, knitr, rmarkdown, pROC, checkmate
Depends: R (>= 3.6.0)
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/imbs-hl/fuseMLR/issues
NeedsCompilation: no
Packaged: 2024-12-15 04:36:16 UTC; fouodo
Author: Cesaire J. K. Fouodo [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-17 09:20:02 UTC

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New package fasterRaster with initial version 8.4.0.3
Package: fasterRaster
Title: Faster Raster and Spatial Vector Processing Using 'GRASS GIS'
Version: 8.4.0.3
Date: 2024-12-15
Maintainer: Adam B. Smith <adam.smith@mobot.org>
Description: Processing of large-in-memory/large-on disk rasters and spatial vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in the 'terra' package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using 'terra' or 'sf', but for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster. To use most of the functions, you must have the stand-alone version (not the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.
Depends: R (>= 4.0.0)
Imports: data.table (>= 1.14.8), DT, graphics, grDevices, methods, omnibus (>= 1.2.11), rgrass (>= 0.3-9), rpanel, sf, shiny, terra (>= 1.7), utils
Suggests: knitr, rmarkdown
License: GPL (>= 3)
SystemRequirements: GRASS (>= 8)
URL: https://github.com/adamlilith/fasterRaster, https://adamlilith.github.io/fasterRaster/
BugReports: https://github.com/adamlilith/fasterRaster/issues
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-12-15 18:58:06 UTC; adame
Author: Adam B. Smith [cre, aut]
Repository: CRAN
Date/Publication: 2024-12-17 09:30:01 UTC

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Mon, 16 Dec 2024

New package spEDM with initial version 1.0
Package: spEDM
Title: Spatial Empirical Dynamic Modeling
Version: 1.0
Description: Integrates empirical dynamic modeling (EDM) with geospatial cross-sectional data to analyze causality via geographical convergent cross mapping (GCCM) described in Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM
BugReports: https://github.com/stscl/spEDM/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, sdsfun (>= 0.6.0), terra
Suggests: ggplot2, knitr, Rcpp, RcppThread, rmarkdown, sf, spdep
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-14 00:45:34 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-16 17:30:02 UTC

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New package displease with initial version 1.0.0
Package: displease
Title: Numeric and Color Sequences with Non-Linear Interpolation
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: When visualising changes between two values over time, a strict linear interpolation can look jarring and unnatural. By applying a non-linear easing to the transition, the motion between values can appear smoother and more natural. This package includes functions for applying such non-linear easings to colors and numeric values, and is useful where smooth animated movement and transitions are desired.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/coolbutuseless/displease
BugReports: https://github.com/coolbutuseless/displease/issues
Suggests: farver
NeedsCompilation: no
Packaged: 2024-12-14 11:30:11 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-16 17:40:02 UTC

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New package colorfast with initial version 1.0.0
Package: colorfast
Title: Fast Conversion of R Colors to Color Component Values and Native Packed Integer Format
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Color values in R are often represented as strings of hexadecimal colors or named colors. This package offers fast conversion of these color representations to either an array of red/green/blue/alpha values or to the packed integer format used in native raster objects. This fast conversion of colors is implemented using an order-preserving minimal perfect hash derived from Majewski et al (1996) 'A Family of Perfect Hashing Methods' <doi:10.1093/comjnl/39.6.547>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-12-14 11:03:30 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-16 17:40:06 UTC

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New package BigDataPE with initial version 0.0.9
Package: BigDataPE
Title: Secure and Intuitive Access to 'BigDataPE' 'API' Datasets
Version: 0.0.9
Date: 2024-12-01
Description: Designed to simplify the process of retrieving datasets from the 'BigDataPE' platform using secure token-based authentication. It provides functions for securely storing, retrieving, and managing tokens associated with specific datasets, as well as fetching and processing data using the 'httr2' package. The integration with 'keyring' ensures that tokens are stored securely within the system’s credential manager.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, httr2, keyring
URL: <https://github.com/StrategicProjects/bigdatape>
NeedsCompilation: no
Packaged: 2024-12-14 19:49:15 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2024-12-16 18:00:02 UTC

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New package treeclim with initial version 2.0.7.1
Package: treeclim
Title: Numerical Calibration of Proxy-Climate Relationships
Version: 2.0.7.1
Date: 2024-12-13
Depends: R (>= 3.0.2), base, stats, utils, Rcpp (>= 0.10.6)
Imports: abind, plyr, ggplot2, lmtest, lmodel2, np, boot
LinkingTo: Rcpp, RcppArmadillo (>= 0.4.000.2)
Suggests: testthat (>= 2.99.0.9000)
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology, see Zang and Biondi (2015) <doi:10.1111/ecog.01335>.
NeedsCompilation: yes
License: GPL-3
LazyData: yes
Encoding: UTF-8
URL: https://github.com/cszang/treeclim
BugReports: https://github.com/cszang/treeclim/issues
Packaged: 2024-12-13 10:11:53 UTC; christian
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@hswt.de>
Repository: CRAN
Date/Publication: 2024-12-16 16:20:02 UTC

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New package jointest with initial version 1.0
Package: jointest
Version: 1.0
Date: 2024-12-13
Title: Multivariate Testing Through Joint Resampling-Based Tests
Description: Runs resampling-based tests jointly, e.g., sign-flip score tests from Hemerik et al., (2020) <doi:10.1111/rssb.12369>, to allow for multivariate testing, i.e., weak and strong control of the Familywise Error Rate or True Discovery Proportion.
Imports: flipscores, flip, stats, graphics, grDevices
Encoding: UTF-8
License: GPL-2
Suggests: knitr, logistf, rmarkdown, ggplot2, lme4
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-13 14:28:08 UTC; finos
Author: Livio Finos [cre, aut] , Angela Andreella [aut], Filippo Gambarota [ctb]
Maintainer: Livio Finos <livio.finos@unipd.it>
Repository: CRAN
Date/Publication: 2024-12-16 16:20:06 UTC

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New package iso8601 with initial version 0.1.0
Package: iso8601
Title: Working with ISO8601 Dates and Times
Version: 0.1.0
Description: Functions to parse strings with ISO8601 dates, times, and date-times into R-objects. Additionally, there are functions to determine the type of ISO8601 string and to standardise ISO8601 strings.
BugReports: https://github.com/djvanderlaan/iso8601/issues
URL: https://github.com/djvanderlaan/iso8601/tree/main/R-package
Depends: R (>= 3.6.0)
Imports: Rcpp, utils
Suggests: methods
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-12-13 15:05:57 UTC; dlan@cbsp.nl
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2024-12-16 16:30:02 UTC

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Fri, 13 Dec 2024

New package WARDEN with initial version 0.99.1
Package: WARDEN
Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Version: 0.99.1
Description: Toolkit to support and perform discrete event simulations without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: dplyr, ggplot2, knitr, rmarkdown, kableExtra, DiagrammeR, testthat (>= 3.0.0), survminer, survival
Imports: purrr, data.table, foreach, future, doFuture, stats, utils, flexsurv, MASS, zoo, progressr, magrittr, tidyr
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://jsanchezalv.github.io/WARDEN/
NeedsCompilation: no
Packaged: 2024-12-12 15:05:06 UTC; Javier
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-13 16:40:13 UTC

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New package GHCNr with initial version 0.8.0
Package: GHCNr
Title: Download Weather Station Data from GHCN
Version: 0.8.0
Description: The goal of 'GHCNr' is to provide a fast and friendly interface with the Global Historical Climatology Network daily (GHCNd) database, which contains daily summaries of weather station data worldwide (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>). GHCNd is accessed through the web API <https://www.ncei.noaa.gov/access/services/data/v1>. 'GHCNr' main functionalities consist of downloading data from GHCNd, filter it, and to aggregate it at monthly and annual scales.
License: MIT + file LICENSE
Imports: tibble, dplyr, tidyr, readr, tidyselect, httr2, terra, utils, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 12:23:38 UTC; squirry
Author: Emilio Berti [aut, cre]
Maintainer: Emilio Berti <emilio.berti@idiv.de>
Repository: CRAN
Date/Publication: 2024-12-13 16:40:17 UTC

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New package dscoreMSM with initial version 0.1.0
Package: dscoreMSM
Title: Survival Proximity Score Matching in Multi-State Survival Model
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Imports: rjags, stats, timeROC, ggplot2, survival, mstate
Description: Implements survival proximity score matching in multi-state survival models. Includes tools for simulating survival data and estimating transition-specific coxph models with frailty terms. The primary methodological work on multistate censored data modeling using propensity score matching has been published by Bhattacharjee et al.(2024) <doi:10.1038/s41598-024-54149-y>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 16:29:27 UTC; atanubhattacharjee
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:02 UTC

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New package datastat with initial version 0.1.0
Package: datastat
Title: Dataset for Statistical Analysis
Version: 0.1.0
Language: en-US
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Description: Data are essential in statistical analysis. This data package consists of four datasets for descriptive statistics, two datasets for statistical hypothesis testing, and two datasets for regression analysis. All of the datasets are based on Rattanalertnusorn, A. (2024) <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-12-12 11:39:10 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:05 UTC

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New package bridgr with initial version 0.1.1
Package: bridgr
Title: Bridging Data Frequencies for Timely Economic Forecasts
Version: 0.1.1
Maintainer: Marc Burri <marc.burri91@gmail.com>
Description: Implements bridge models for nowcasting and forecasting macroeconomic variables by linking high-frequency indicator variables (e.g., monthly data) to low-frequency target variables (e.g., quarterly GDP). Simplifies forecasting and aggregating indicator variables to match the target frequency, enabling timely predictions ahead of official data releases. For more on bridge models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004) <doi:10.1016/S0169-2070(03)00067-0>, Burri (2023) <https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP23-02.pdf> or Schumacher (2016) <doi:10.1016/j.ijforecast.2015.07.004>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, dplyr, rlang, generics, tsbox, lubridate, forecast
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
URL: https://github.com/marcburri/bridgr, https://marcburri.github.io/bridgr/
BugReports: https://github.com/marcburri/bridgr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 16:16:47 UTC; marcburri
Author: Marc Burri [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:09 UTC

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New package spphpr with initial version 0.1.4
Package: spphpr
Title: Spring Phenological Prediction
Version: 0.1.4
Date: 2024-12-12
Author: Peijian Shi [aut, cre], Zhenghong Chen [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>
Description: Predicts the occurrence times (in day of year) of spring phenological events. Three methods, including the accumulated degree days (ADD) method, the accumulated days transferred to a standardized temperature (ADTS) method, and the accumulated developmental progress (ADP) method, were used. See Shi et al. (2017a) <doi:10.1016/j.agrformet.2017.04.001> and Shi et al. (2017b) <doi:10.1093/aesa/sax063> for details.
Depends: R (>= 4.2.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-12-12 07:14:19 UTC; PEIJIAN SHI
Repository: CRAN
Date/Publication: 2024-12-13 09:10:02 UTC

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New package mintyr with initial version 0.1.0
Package: mintyr
Title: Streamlined Data Processing Tools for Genomic Selection
Version: 0.1.0
Description: A toolkit for genomic selection in animal breeding with emphasis on multi-breed and multi-trait nested grouping operations. Streamlines iterative analysis workflows when working with 'ASReml-R' package. Includes utility functions for phenotypic data processing commonly used by animal breeders.
License: MIT + file LICENSE
URL: https://tony2015116.github.io/mintyr/
BugReports: https://github.com/tony2015116/mintyr/issues
Depends: R (>= 3.5.0)
Imports: arrow, data.table, dplyr, parallel, purrr, readxl, rlang, rsample, rstatix, stats, tibble, utils
Suggests: knitr, rmarkdown, testthat, tidyr, tools
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-12 01:59:42 UTC; Dell
Author: Guo Meng [aut, cre], Guo Meng [cph]
Maintainer: Guo Meng <tony2015116@163.com>
Repository: CRAN
Date/Publication: 2024-12-13 09:10:06 UTC

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New package DBCVindex with initial version 1.1
Encoding: UTF-8
Package: DBCVindex
Title: Calculates the Density-Based Clustering Validation Index (DBCV) Index
Version: 1.1
Description: A metric called 'Density-Based Clustering Validation index' (DBCV) index to evaluate clustering results, following the <https://github.com/FelSiq/DBCV> 'Python' implementation by Felipe Alves Siqueira. Original 'DBCV' index article: Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., & Sander, J. (2014, April). "Density-based clustering validation", Proceedings of SDM 2014 -- the 2014 SIAM International Conference on Data Mining (pp. 839-847), <doi:10.1137/1.9781611973440.96>.
Depends: R (>= 4.0.0)
License: GPL-3
URL: https://github.com/davidechicco/DBCVindex
Imports: pacman, Matrix, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 11:03:55 UTC; davide
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2024-12-13 09:30:02 UTC

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New package cercospoRa with initial version 0.0.1
Package: cercospoRa
Title: Process Based Epidemiological Model for Cercospora Leaf Spot of Sugar Beet
Version: 0.0.1
Description: Estimates sugar beet canopy closure with remotely sensed leaf area index and estimates when action might be needed to protect the crop from a Leaf Spot epidemic with a negative prognosis model based on published models.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), remotes, stats, spelling
Imports: data.table, lubridate, sf, terra, minpack.lm, circular
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
LazyData: true
URL: https://paul.melloy.com.au/cercospoRa/, https://github.com/PaulMelloy/cercospoRa, http://paul.melloy.com.au/cercospoRa/
BugReports: https://github.com/PaulMelloy/cercospoRa/issues
NeedsCompilation: no
Packaged: 2024-12-12 10:11:12 UTC; paul
Author: Paul Melloy [aut, cre, trl, cph] , Rene Heim [aut, cph] , Nathan Okole [aut, ctb, cph] , Facundo Ramon Ispizua Yamati [dtc, ctb] , Anne-Katrin Mahlein [ctb, cph]
Maintainer: Paul Melloy <paul@melloy.com.au>
Repository: CRAN
Date/Publication: 2024-12-13 09:20:02 UTC

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New package ideanet with initial version 1.0.0
Package: ideanet
Title: Integrating Data Exchange and Analysis for Networks ('ideanet')
Version: 1.0.0
Date: 2024-12-06
Description: A suite of convenient tools for social network analysis geared toward students, entry-level users, and non-expert practitioners. ‘ideanet’ features unique functions for the processing and measurement of sociocentric and egocentric network data. These functions automatically generate node- and system-level measures commonly used in the analysis of these types of networks. Outputs from these functions maximize the ability of novice users to employ network measurements in further analyses while making all users less prone to common data analytic errors. Additionally, ‘ideanet’ features an R Shiny graphic user interface that allows novices to explore network data with minimal need for coding.
Maintainer: Tom Wolff <tom.wolff@northwestern.edu>
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: CliquePercolation, cluster, colorspace, concorR, cowplot, data.table, dplyr, forcats, ggplot2, grDevices, gridGraphics, igraph, intergraph, jsonlite, linkcomm, magrittr, Matrix, methods, moments, network, readxl, rlang, RSpectra, shiny, sna, stringr, tibble, tidyr, tidyselect
Suggests: DT, devtools, egor, ergm, shinythemes, shinyWidgets, knitr, rmarkdown, shinycssloaders, visNetwork
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-11 18:25:01 UTC; wms1212
Author: Tom Wolff [aut, cre] , Jonathan Howard Morgan [aut] , Gabriel Varela [aut] , Kieran Lele [aut], Ethan Bhojani [aut], Emily Heraty [aut], Dana Pasquale [aut] , Peter Mucha [aut] , James Moody [aut]
Repository: CRAN
Date/Publication: 2024-12-13 09:00:02 UTC

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Thu, 12 Dec 2024

New package pprof with initial version 1.0.1
Package: pprof
Title: Modeling, Standardization and Testing for Provider Profiling
Version: 1.0.1
Date: 2024-11-18
Description: Implements linear and generalized linear models for provider profiling, incorporating both fixed and random effects. For large-scale providers, the linear profiled-based method and the SerBIN method for binary data reduce the computational burden. Provides post-modeling features, such as indirect and direct standardization measures, hypothesis testing, confidence intervals, and post-estimation visualization. For more information, see Wu et al. (2022) <doi:10.1002/sim.9387>.
License: MIT + file LICENSE
LazyData: true
Imports: Rcpp, RcppParallel, stats, caret, olsrr, pROC, poibin, dplyr, ggplot2, Matrix, lme4, magrittr, scales, tibble, rlang
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/UM-KevinHe/pprof
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-12-11 16:15:37 UTC; emily
Author: Xiaohan Liu [aut, cre], Lingfeng Luo [aut], Yubo Shao [aut], Xiangeng Fang [aut], Wenbo Wu [aut], Kevin He [aut]
Maintainer: Xiaohan Liu <xhliuu@umich.edu>
Repository: CRAN
Date/Publication: 2024-12-12 15:10:02 UTC

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New package orderanalyzer with initial version 1.0.0
Package: orderanalyzer
Title: Extracting Order Position Tables from PDF-Based Order Documents
Version: 1.0.0
Date: 2024-12-11
Maintainer: Michael Scholz <michael.scholz@th-deg.de>
Description: Functions for extracting text and tables from PDF-based order documents. It provides an n-gram-based approach for identifying the language of an order document. It furthermore uses R-package 'pdftools' to extract the text from an order document. In the case that the PDF document is only including an image (because it is scanned document), R package 'tesseract' is used for OCR. Furthermore, the package provides functionality for identifying and extracting order position tables in order documents based on a clustering approach.
License: GPL-3
SystemRequirements: Tesseract >= 5.0.0, libtesseract-dev (deb), tesseract-devel (rpm), libleptonica-dev (deb), leptonica-devel (rpm), tesseract-ocr-eng (deb), libpoppler-cpp-dev (deb), poppler-cpp-devel (rpm), poppler-data (rpm/deb), libxml2-dev (deb), libxml2-devel (rpm)
Depends: R(>= 4.3.0), tidyselect
Imports: data.table, dplyr, matrixcalc, quanteda, rlist, stringr, tibble, tidyr, utils, purrr, digest, lubridate
Suggests: pdftools, tesseract, xml2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-11 16:46:01 UTC; mscholz
Author: Michael Scholz [cre, aut], Joerg Bauer [aut]
Repository: CRAN
Date/Publication: 2024-12-12 15:20:02 UTC

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New package moRphomenses with initial version 1.0.2
Package: moRphomenses
Title: Geometric Morphometric Tools to Align, Scale, and Compare "Shape" of Menstrual Cycle Hormones
Version: 1.0.2
Description: Mitteroecker & Gunz (2009) <doi:10.1007/s11692-009-9055-x> describe how geometric morphometric methods allow researchers to quantify the size and shape of physical biological structures. We provide tools to extend geometric morphometric principles to the study of non-physical structures, hormone profiles, as outlined in Ehrlich et al (2021) <doi:10.1002/ajpa.24514>. Easily transform daily measures into multivariate landmark-based data. Includes custom functions to apply multivariate methods for data exploration as well as hypothesis testing. Also includes 'shiny' web app to streamline data exploration. Developed to study menstrual cycle hormones but functions have been generalized and should be applicable to any biomarker over any time period.
License: GPL (>= 3.0)
URL: <https://github.com/ClancyLabUIUC/moRphomenses>
Depends: R (>= 2.10)
Imports: stats, graphics, grDevices, utils
Encoding: UTF-8
LazyData: true
Suggests: dendextend, geomorph, cluster, shiny
NeedsCompilation: no
Packaged: 2024-12-11 16:00:38 UTC; ehrli097
Author: Daniel Ehrlich [aut, cre]
Maintainer: Daniel Ehrlich <dan.ehrlich.e@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-12 15:10:07 UTC

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New package ConjointChecks with initial version 0.2.0
Package: ConjointChecks
Title: Implementation of a Method to Check the Cancellation Axioms of Additive Conjoint Measurement
Version: 0.2.0
Date: 2024-12-02
Maintainer: Ben Domingue <ben.domingue@gmail.com>
Depends: R (>= 4.3), parallel, methods,
Suggests:
Description: Implementation of a procedure---Domingue (2012) <https://eric.ed.gov/?id=ED548657>, Domingue (2014) <doi:10.1007/s11336-013-9342-4>; see also Karabatsos (2001) <https://psycnet.apa.org/record/2002-01665-005> and Kyngdon (2011) <doi:10.1348/2044-8317.002004>---to test the single and double cancellation axioms of conjoint measure in data that is dichotomously coded and measured with error.
URL: https://github.com/ben-domingue/ConjointChecks
LazyData: Yes
Imports: Rcpp
LinkingTo: Rcpp
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2024-12-11 16:40:37 UTC; bdomingu
Author: Ben Domingue [aut, cre], Liam Fox [ctb], Vithor Franco [ctb]
Repository: CRAN
Date/Publication: 2024-12-12 15:20:06 UTC

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New package TauStar with initial version 1.1.7
Package: TauStar
Title: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance
Version: 1.1.7
Date: 2024-12-11
Description: Computes the t* statistic corresponding to the tau* population coefficient introduced by Bergsma and Dassios (2014) <DOI:10.3150/13-BEJ514> and does so in O(n^2) time following the algorithm of Heller and Heller (2016) <DOI:10.48550/arXiv.1605.08732> building off of the work of Weihs, Drton, and Leung (2016) <DOI:10.1007/s00180-015-0639-x>. Also allows for independence testing using the asymptotic distribution of t* as described by Nandy, Weihs, and Drton (2016) <DOI:10.1214/16-EJS1166>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-12-11 13:27:31 UTC; karch
Author: Luca Weihs [aut], Emin Martinian [ctb] , Julian D. Karch [cre]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>
Repository: CRAN
Date/Publication: 2024-12-12 15:00:02 UTC

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New package mtscr with initial version 1.0.2
Package: mtscr
Title: Multidimensional Top Scoring for Creativity Research
Version: 1.0.2
Description: Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) <doi:10.1037/aca0000571>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/jakub-jedrusiak/mtscr
BugReports: https://github.com/jakub-jedrusiak/mtscr/issues
Depends: R (>= 4.1.0)
Imports: broom.mixed, cli, dplyr (>= 1.1.0), glmmTMB, glue, lifecycle, methods, purrr, readr, rlang (>= 0.4.11), stringr, tibble
Suggests: shiny, covr, datamods, DT, roxygen2, shinyWidgets, testthat (>= 3.0.0), withr, writexl
NeedsCompilation: no
Packaged: 2024-12-12 10:01:29 UTC; jakub
Author: Jakub Jedrusiak [aut, cre, cph] , Boris Forthmann [aut, rev] , Roger E. Beaty [aut] , Maciej Karwowski [aut]
Maintainer: Jakub Jedrusiak <jakub.jedrusiak2@uwr.edu.pl>
Repository: CRAN
Date/Publication: 2024-12-12 10:20:02 UTC

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New package MDFS with initial version 1.5.5
Package: MDFS
Title: MultiDimensional Feature Selection
Version: 1.5.5
Date: 2024-12-11
URL: https://www.mdfs.it/
Description: Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Depends: R (>= 3.4.0)
License: GPL-3
SystemRequirements: C++17
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
Packaged: 2024-12-11 19:31:00 UTC; radek
Author: Radoslaw Piliszek [aut, cre], Krzysztof Mnich [aut], Pawel Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sulecki [aut], Witold Remigiusz Rudnicki [aut]
Maintainer: Radoslaw Piliszek <radek@piliszek.it>
Repository: CRAN
Date/Publication: 2024-12-12 08:30:12 UTC

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Wed, 11 Dec 2024

New package TREDesigns with initial version 1.0.0
Package: TREDesigns
Title: Ternary Residual Effect Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: There are some experimental scenarios where each experimental unit receives a sequence of treatments across multiple periods, and treatment effects persist beyond the period of application. It focuses on the construction and calculation of the parametric value of the residual effect designs balanced for carryover effects, also referred to as crossover designs, change-over designs, or repeated measurements designs (Aggarwal and Jha, 2010<doi:10.1080/15598608.2010.10412013>). The primary objective of the package is to generate a new class of Balanced Ternary Residual Effect Designs (BTREDs), balanced for carryover effects tailored explicitly for situations where the number of periods is less than or equal to the number of treatments. In addition, the package provides four new classes of Partially Balanced Ternary Residual Effect Designs (PBTREDs), constructed using incomplete block designs, initial sequences, and rectangular association scheme. In addition, one extra function is in [...truncated...]
Suggests: MASS
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-11 09:04:41 UTC; Ashutosh
Author: Akhilesh Jha [aut], Cini Varghese [aut], Seema Jaggi [aut], Mohd Harun [aut], Ashutosh Dalal [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-11 17:10:07 UTC

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New package tna with initial version 0.3.0
Package: tna
Title: Transition Network Analysis (TNA)
Version: 0.3.0
Description: Provides tools for performing Transition Network Analysis (TNA) to study relational dynamics, including functions for building and plotting TNA models, calculating centrality measures, and identifying dominant events and patterns. TNA statistical techniques (e.g., bootstrapping and permutation tests) ensure the reliability of observed insights and confirm that identified dynamics are meaningful. See (Saqr et al., 2024) <doi:10.48550/arXiv.2411.15486> for more details on TNA.
License: MIT + file LICENSE
URL: https://github.com/sonsoleslp/tna/
BugReports: https://github.com/sonsoleslp/tna/issues/
Depends: R (>= 4.1.0)
Imports: checkmate, cli, colorspace, dplyr, ggplot2, graphics, igraph, qgraph, RColorBrewer, rlang, stats, tibble, tidyr
Suggests: gt, knitr, rmarkdown, seqHMM, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-11 10:31:30 UTC; tna
Author: Sonsoles Lopez-Pernas [aut, cre], Santtu Tikka [aut], Mohammed Saqr [aut]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2024-12-11 17:10:01 UTC

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New package SaturnCoefficient with initial version 1.2
Package: SaturnCoefficient
Title: Statistical Evaluation of UMAP Dimensionality Reductions
Version: 1.2
Description: A metric expressing the quality of a UMAP layout. This is a package that contains the Saturn_coefficient() function that reads an input matrix, its dimensionality reduction produced by UMAP, and evaluates the quality of this dimensionality reduction by producing a real value in the [0; 1] interval. We call this real value Saturn coefficient. A higher value means better dimensionality reduction; a lower value means worse dimensionality reduction. Reference: Davide Chicco et al. "The Saturn coefficient for evaluating the quality of UMAP dimensionality reduction results" (2025, in preparation).
License: GPL-3
URL: https://github.com/davidechicco/SaturnCoefficient
BugReports: https://github.com/davidechicco/SaturnCoefficient/issues
Depends: R (>= 4.0.0)
Imports: stats, MatrixCorrelation, ProjectionBasedClustering, umap
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-11 08:44:51 UTC; davide
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2024-12-11 17:10:10 UTC

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New package wordvector with initial version 0.1.0
Package: wordvector
Title: Word and Document Vector Models
Version: 0.1.0
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Description: Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
URL: https://github.com/koheiw/wordvector
License: Apache License (>= 2.0)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: quanteda (>= 4.1.0), methods, stringi, Matrix, proxyC, RSpectra, irlba, rsvd
Suggests: testthat, word2vec, spelling
LinkingTo: Rcpp, quanteda
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-11 00:47:52 UTC; watan
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Repository: CRAN
Date/Publication: 2024-12-11 17:00:02 UTC

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New package SunCalcMeeus with initial version 0.1.1
Package: SunCalcMeeus
Title: Sun Position and Daylight Calculations
Version: 0.1.1
Date: 2024-12-09
Description: Compute the position of the sun, and local solar time using Meeus' formulae. Compute day and/or night length using different twilight definitions or arbitrary sun elevation angles. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>. Algorithms from Meeus (1998, ISBN:0943396611).
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: stats, tibble (>= 3.1.6), lubridate (>= 1.9.3), dplyr (>= 1.0.9)
Suggests: knitr (>= 1.41), rmarkdown (>= 2.18), testthat (>= 3.2.1), roxygen2 (>= 7.3.0), lutz (>= 0.3.2), covr, spelling
LazyLoad: yes
ByteCompile: true
URL: https://docs.r4photobiology.info/SunCalcMeeus/, https://github.com/aphalo/SunCalcMeeus
BugReports: https://github.com/aphalo/SunCalcMeeus/issues
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-10 16:55:58 UTC; aphalo
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Repository: CRAN
Date/Publication: 2024-12-11 16:10:02 UTC

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New package MAICtools with initial version 0.1.1
Package: MAICtools
Title: Performing Matched-Adjusted Indirect Comparisons (MAIC)
Version: 0.1.1
Author: Xiao Qi [aut, cre]
Maintainer: Xiao Qi <qixiao2024@outlook.com>
Description: A generalised workflow for Matching-Adjusted Indirect Comparison (MAIC) analysis, which supports both anchored and non-anchored MAIC methods. In MAIC, unbiased trial outcome comparison is achieved by weighting the subject-level outcomes of the intervention trial so that the weighted aggregate measures of prognostic or effect-modifying variables match those of the comparator trial. Measurements supported include time-to-event (e.g., overall survival) and binary (e.g., objective tumor response). The method is described in Signorovitch et al. (2010) <doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012) <doi:10.1016/j.jval.2012.05.004>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: assertthat (>= 0.2.1), boot (>= 1.3-28), broom (>= 0.7.10), data.table (>= 1.14.0), dplyr (>= 1.0.7), ggplot2 (>= 3.3.5), graphics (>= 4.0.0), grDevices (>= 4.0.0), grid (>= 4.0.0), magrittr (>= 2.0.1), purrr (>= 0.3.4), rlang (>= 0.4.11), stats (>= 4.0.0), stringr (>= 1.4.0), survival (>= 3.2-11), survminer (>= 0.4.9), tibble (>= 3.1.3), tidyr (>= 1.1.3), tidyselect (>= 1.0.0), VIM (>= 6.1.0)
Suggests: haven (>= 2.4.3), testthat (>= 3.0.0), tidyverse (>= 1.3.1)
Encoding: UTF-8
Language: en-US
LazyData: true
Packaged: 2024-12-11 06:20:50 UTC; Xiao_Qi
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-12-11 17:00:06 UTC

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New package CropBreeding with initial version 0.1.0
Package: CropBreeding
Title: Stability Analysis in Crop Breeding
Version: 0.1.0
Maintainer: Prity Kumari <psingh2506@gmail.com>
Description: Provides tools for crop breeding analysis including Genetic Coefficient of Variation (GCV), Phenotypic Coefficient of Variation (PCV), heritability, genetic advance calculations, stability analysis using the Eberhart-Russell model, two-way ANOVA for genotype-environment interactions, and Additive Main Effects and Multiplicative Interaction (AMMI) analysis. These tools are developed for crop breeding research and stability evaluation under various environmental conditions. The methods are based on established statistical and biometrical principles. Refer to Eberhart and Russell (1966) <doi:10.2135/cropsci1966.0011183X000600010011x> for stability parameters, Fisher (1935) "The Design of Experiments" <ISBN:9780198522294>, Falconer (1996) "Introduction to Quantitative Genetics" <ISBN:9780582243026>, and Singh and Chaudhary (1985) "Biometrical Methods in Quantitative Genetic Analysis" <ISBN:9788122433764> for foundational methodologies.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, dplyr, metan, rlang
NeedsCompilation: no
Packaged: 2024-12-10 15:15:02 UTC; ASUS
Author: Prity Kumari [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-11 16:40:02 UTC

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New package ADSIHT with initial version 0.1.0
Package: ADSIHT
Title: Adaptive Double Sparse Iterative Hard Thresholding
Version: 0.1.0
Date: 2024-12-5
Maintainer: Yanhang Zhang <zhangyh98@ruc.edu.cn>
Description: Solving the high-dimensional double sparse linear regression via iterative hard thresholding algorithm. For more details, please see Zhang et al. (2024, <DOI:10.48550/arXiv.2305.04182>).
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: Matrix, mvnfast, Rcpp
Suggests: knitr, rmarkdown, testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2024-12-11 03:21:08 UTC; Yanhang
Author: Yanhang Zhang [aut, cre], Zhifan Li [aut], Jianxin Yin [aut], Shixiang Liu [aut], Lingren Kong [aut]
Repository: CRAN
Date/Publication: 2024-12-11 17:00:11 UTC

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New package fastPLS with initial version 0.2
Package: fastPLS
Title: A Fast Implementation of Partial Least Square
Version: 0.2
Date: 2024-12-09
Description: An implementation in 'Rcpp' / 'RcppArmadillo' of Partial Least Square algorithms. This package includes other functions to perform the double cross-validation and a fast correlation.
License: GPL-3
Depends: R (>= 2.10.0), Matrix
Imports: Rcpp (>= 0.12.17), methods
LinkingTo: Rcpp, RcppArmadillo, Matrix
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2024-12-10 09:54:19 UTC; user
Author: Stefano Cacciatore [aut, trl, cre] , Dupe Ojo [aut] , Leonardo Tenori [aut] , Alessia Vignoli [aut]
Maintainer: Stefano Cacciatore <stefano.cacciatore@icgeb.org>
Repository: CRAN
Date/Publication: 2024-12-11 15:30:01 UTC

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New package condathis with initial version 0.1.0
Package: condathis
Title: Run Any CLI Tool on a 'Conda' Environment
Version: 0.1.0
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
License: MIT + file LICENSE
URL: https://github.com/luciorq/condathis
BugReports: https://github.com/luciorq/condathis/issues
Depends: R (>= 4.0)
Imports: cli, fs, jsonlite, processx, rlang, stringr, tibble, tools, utils, withr
Suggests: curl, dplyr, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-10 17:23:21 UTC; luciorq
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-11 16:00:01 UTC

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New package lmap with initial version 0.1.3
Package: lmap
Title: Logistic Mapping
Version: 0.1.3
Maintainer: Mark de Rooij <rooijm@fsw.leidenuniv.nl>
Description: Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).
Depends: R (>= 3.5.0), ggplot2, ggrepel, ggforce, fmdu
Imports: nnet, stats, magrittr, dplyr, MASS, Rfast
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Author: Mark de Rooij [aut, cre, cph], Frank Busing [aut, cph], Juan Claramunt Gonzalez [aut]
NeedsCompilation: yes
Packaged: 2024-12-09 14:06:47 UTC; prueba
Repository: CRAN
Date/Publication: 2024-12-11 07:50:02 UTC

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New package IRISMustangMetrics with initial version 2.4.7
Package: IRISMustangMetrics
Version: 2.4.7
Title: Statistics and Metrics for Seismic Data
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>
Depends: R (>= 3.2.0), IRISSeismic (>= 1.3.0)
Imports: methods, RCurl, seismicRoll (>= 1.1.4), signal, stringr, XML, stats, pracma, dplyr (>= 0.4.3)
Description: Classes and functions for metrics calculation as part of the 'EarthScope MUSTANG' project. The functionality in this package builds upon the base classes of the 'IRISSeismic' package. Metrics include basic statistics as well as higher level 'health' metrics that can help identify problematic seismometers.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2024-12-10 17:56:44 UTC; gilliansharer
Date/Publication: 2024-12-11 07:50:15 UTC

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Tue, 10 Dec 2024

New package TransProR with initial version 0.0.6
Package: TransProR
Title: Analysis and Visualization of Multi-Omics Data
Version: 0.0.6
Maintainer: Dongyue Yu <yudongyue@mail.nankai.edu.cn>
Description: A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include 'limma' (Ritchie et al., 2015, <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>), 'edgeR' (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>), 'DESeq2' (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022, <doi:10. [...truncated...]
Imports: magrittr, stats, data.table, dplyr, rlang, tibble, sva, DESeq2, edgeR, limma, ggplot2, ggVennDiagram, ggdensity, ggpubr, ggtree, hrbrthemes, grid, ggraph, tidygraph, tidyr, stringr, geomtextpath, ggalt, ggnewscale, ggtreeExtra, Hmisc, circlize, graphics, spiralize, ComplexHeatmap, grDevices
Suggests: prettydoc, knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/SSSYDYSSS/TransProRBook
BugReports: https://github.com/SSSYDYSSS/TransProR/issues
LazyData: true
Depends: R (>= 4.3.0)
NeedsCompilation: no
Packaged: 2024-12-10 07:23:19 UTC; Yu
Author: Dongyue Yu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-10 21:30:09 UTC

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New package opengraph with initial version 0.0.2
Package: opengraph
Title: Process Metadata from the Open Graph Protocol
Version: 0.0.2
Description: Social media sites often embed cards when links are shared, based on metadata in the 'Open Graph Protocol' (<https://ogp.me/>). This supports extracting that metadata from a website. It further allows for the creation of tags to add to a website to support the 'Open Graph Protocol' and provides a list of the standard tags and their required properties.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rvest
Suggests: spelling, testthat (>= 3.0.0)
URL: https://github.com/christopherkenny/opengraph, https://christophertkenny.com/opengraph/
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-10 02:28:25 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:20:01 UTC

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New package OncoDataSets with initial version 0.1.0
Package: OncoDataSets
Title: A Comprehensive Collection of Cancer Types and Cancer-Related Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Offers a rich collection of data focused on cancer research, covering survival rates, genetic studies, biomarkers, and epidemiological insights. Designed for researchers, analysts, and bioinformatics practitioners, the package includes datasets on various cancer types such as melanoma, leukemia, breast, ovarian, and lung cancer, among others. It aims to facilitate advanced research, analysis, and understanding of cancer epidemiology, genetics, and treatment outcomes.
License: GPL-3
URL: https://github.com/lightbluetitan/oncodatasets, https://lightbluetitan.github.io/oncodatasets/
BugReports: https://github.com/lightbluetitan/oncodatasets/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-10 08:49:45 UTC; renzocrossi
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-12-10 21:30:17 UTC

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New package OhdsiShinyAppBuilder with initial version 1.0.0
Package: OhdsiShinyAppBuilder
Title: Viewing Observational Health Data Sciences and Informatics Results via 'shiny' Modules
Version: 1.0.0
Date: 2024-12-09
Maintainer: Jenna Reps <jreps@its.jnj.com>
Description: Users can build a single 'shiny' app for exploring population characterization, population-level causal effect estimation, and patient-level prediction results generated via the R analyses packages in 'HADES' (see <https://ohdsi.github.io/Hades/>). Learn more about 'OhdsiShinyAppBuilder' at <https://ohdsi.github.io/OhdsiShinyAppBuilder/>.
License: Apache License 2.0
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
Imports: checkmate, DatabaseConnector, devtools, dplyr, ParallelLogger (>= 2.0.0), ResultModelManager (>= 0.4.0), rlang, shiny, shinydashboard, utils
Suggests: Eunomia, jsonlite, knitr, rmarkdown, testthat, markdown, remotes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-09 20:37:22 UTC; jreps
Author: Jenna Reps [aut, cre], Nathan Hall [aut], Josh Ide [aut], Jamie Gibert [aut]
Repository: CRAN
Date/Publication: 2024-12-10 21:10:11 UTC

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New package moonboot with initial version 0.9.1
Package: moonboot
Title: m-Out-of-n Bootstrap Functions
Version: 0.9.1
Date: 2024-12-09
Description: Functions and examples based on the m-out-of-n bootstrap suggested by Politis, D.N. and Romano, J.P. (1994) <doi:10.1214/aos/1176325770>. Additionally there are functions to estimate the scaling factor tau and the subsampling size m. For a detailed description and a full list of references, see Dalitz, C. and Lögler, F. (2024) <doi:10.48550/arXiv.2412.05032>.
License: BSD 2-clause License + file LICENSE
Encoding: UTF-8
Imports: methods (>= 4.1.2), stats (>= 4.1.2)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-09 11:59:34 UTC; dalitz
Author: Christoph Dalitz [aut, cre], Felix Loegler [aut]
Maintainer: Christoph Dalitz <christoph.dalitz@hs-niederrhein.de>
Repository: CRAN
Date/Publication: 2024-12-10 21:30:02 UTC

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New package htsDegenerateR with initial version 0.1.0
Package: htsDegenerateR
Title: Degenerate Hierarchical Time Series Reconciliation
Version: 0.1.0
Description: Takes the MinT implementation of the 'hts'<https://cran.r-project.org/package=hts> package and adapts it to allow degenerate hierarchical structures. Instead of the "nodes" argument, this function takes an S matrix which is more versatile in the structures it allows. For a demo, see Steinmeister and Pauly (2024)<doi:10.15488/17729>. The MinT algorithm is based on Wickramasuriya et al. (2019)<doi:10.1080/01621459.2018.1448825>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: SparseM, methods, stats
Suggests: forecast, testthat, knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2024-12-09 22:26:24 UTC; Louis
Author: Louis Steinmeister [aut, cre], Markus Pauly [aut]
Maintainer: Louis Steinmeister <louis.steinmeister@udo.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:02 UTC

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New package FAVA with initial version 1.0.7
Package: FAVA
Title: Quantify Compositional Variability Across Relative Abundance Vectors
Version: 1.0.7
Description: Implements the statistic FAVA, an Fst-based Assessment of Variability across vectors of relative Abundances, as well as a suite of helper functions which enable the visualization and statistical analysis of relative abundance data. The 'FAVA' R package accompanies the paper, “Quantifying compositional variability in microbial communities with FAVA” by Morrison, Xue, and Rosenberg (2024) <doi:10.1101/2024.07.03.601929>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://maikemorrison.github.io/FAVA/, https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html
BugReports: https://github.com/MaikeMorrison/FAVA/issues
Imports: dplyr, ggplot2, rlang, tidyr, stringr
Suggests: patchwork (>= 1.2.0), rmarkdown, viridis, kableExtra, purrr, ape, gridExtra, phyloseq, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-09 20:42:35 UTC; maikem
Author: Maike Morrison [aut, cre, cph]
Maintainer: Maike Morrison <maikem@stanford.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:15 UTC

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New package dbi.table with initial version 1.0.1
Package: dbi.table
Title: Database Queries Using 'data.table' Syntax
Version: 1.0.1
Depends: data.table
Imports: DBI, bit64, dbplyr, methods, rlang, stringi, utils
Suggests: R.utils, RSQLite, duckdb, testthat (>= 3.0.0), knitr, rmarkdown
Description: Query database tables over a 'DBI' connection using 'data.table' syntax. Attach database schemas to the search path. Automatically merge using foreign key constraints.
License: MPL-2.0
URL: https://github.com/kjellpk/dbi.table
BugReports: https://github.com/kjellpk/dbi.table/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-09 13:46:57 UTC; kjellk
Author: Kjell P. Konis [aut, cre]
Maintainer: Kjell P. Konis <kjellk@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-10 21:30:05 UTC

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New package clc with initial version 1.0.0
Package: clc
Title: CORINE Land Cover Data and Styles
Version: 1.0.0
Description: Streamline the management, analysis, and visualization of CORINE Land Cover data. Addresses challenges associated with its classification system and related styles, such as color mappings and descriptive labels.
License: MIT + file LICENSE
URL: https://josesamos.github.io/clc/, https://github.com/josesamos/clc
BugReports: https://github.com/josesamos/clc/issues
Depends: R (>= 3.5)
Imports: gdalUtilities, ggplot2, rlang, RPostgres, sf, stats, terra, xml2
Suggests: knitr, mockery, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-09 05:41:34 UTC; jsamos
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:06 UTC

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New package IRISSeismic with initial version 1.6.7
Package: IRISSeismic
Version: 1.6.7
Title: Classes and Methods for Seismic Data Analysis
Depends: R (>= 3.1.0)
Imports: methods, pracma, RCurl, seismicRoll (>= 1.1.0), signal, stringr, XML, stats
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by EarthScope. <https://service.earthscope.org/>.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2024-12-10 01:29:54 UTC; gilliansharer
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>
Date/Publication: 2024-12-10 08:30:12 UTC

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Mon, 09 Dec 2024

New package warehouseTools with initial version 0.1.2
Package: warehouseTools
Title: Heuristics for Solving the Traveling Salesman Problem in Warehouse Layouts
Version: 0.1.2
Description: Heuristic methods to solve the routing problems in a warehouse management. Package includes several heuristics such as the Midpoint, Return, S-Shape and Semi-Optimal Heuristics for designation of the picker’s route in order picking. The heuristics aim to provide the acceptable travel distances while considering warehouse layout constraints such as aisles and shelves. It also includes implementation of the COPRAS (COmplex PRoportional ASsessment) method for supporting selection of locations to be visited by the picker in shared storage systems. The package is designed to facilitate more efficient warehouse routing and logistics operations. see: Bartholdi, J. J., Hackman, S. T. (2019). "WAREHOUSE & DISTRIBUTION SCIENCE. Release 0.98.1." The Supply Chain & Logistics Institute. H. Milton Stewart School of Industrial and Systems Engineering. Georgia Institute of Technology. <https://www.warehouse-science.com/book/editions/wh-sci-0.98.1.pdf>.
Depends: R (>= 3.5.0)
License: GPL-3
Imports: dplyr,clusterSim
Suggests: graphics,testthat (>= 2.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-07 18:34:19 UTC; andrzej
Author: Andrzej Dudek [aut, cre] , Krzysztof Dmytrow [aut]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Repository: CRAN
Date/Publication: 2024-12-09 19:50:02 UTC

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New package SBMTrees with initial version 1.1
Package: SBMTrees
Title: Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data
Version: 1.1
Date: 2024-11-20
Author: Jungang Zou [aut, cre], Liangyuan Hu [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, lme4, Matrix, arm, dplyr, mvtnorm, sn, tidyr, mice, nnet
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, mitml
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-08 07:36:54 UTC; jz3138
Repository: CRAN
Date/Publication: 2024-12-09 20:00:02 UTC

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New package paramix with initial version 0.0.1
Package: paramix
Title: Aggregate and Disaggregate Continuous Parameters for Compartmental Models
Version: 0.0.1
Description: A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: lintr, knitr, rmarkdown, ggplot2, roxygen2, wpp2019, testthat (>= 3.0.0), patchwork
VignetteBuilder: knitr
Imports: data.table
URL: https://cmmid.github.io/paramix/
NeedsCompilation: no
Packaged: 2024-12-06 20:06:24 UTC; holism
Author: Carl Pearson [aut, cre] , Simon Proctor [aut] , Lucy Goodfellow [aut]
Maintainer: Carl Pearson <carl.ab.pearson@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-09 19:30:02 UTC

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New package iClusterVB with initial version 0.1.4
Package: iClusterVB
Title: Fast Integrative Clustering and Feature Selection for High Dimensional Data
Version: 0.1.4
Author: Abdalkarim Alnajjar [aut, cre, cph] , Zihang Lu [aut]
Maintainer: Abdalkarim Alnajjar <abdalkarim.alnajjar@queensu.ca>
Description: A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
License: MIT + file LICENSE
URL: https://github.com/AbdalkarimA/iClusterVB
BugReports: https://github.com/AbdalkarimA/iClusterVB/issues
Depends: R (>= 4.0.0)
Imports: cluster, clustMixType, cowplot, ggplot2, graphics, grDevices, mclust, MCMCpack, mvtnorm, pheatmap, poLCA, Rcpp (>= 1.0.12), stats, utils, VarSelLCM
Suggests: knitr, rmarkdown, survival, survminer
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-07 22:15:58 UTC; Abdalkarim
Repository: CRAN
Date/Publication: 2024-12-09 19:50:06 UTC

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New package gg1d with initial version 0.1.0
Package: gg1d
Title: Exploratory Data Analysis using Tiled One-Dimensional Graphics
Version: 0.1.0
Description: Streamlines exploratory data analysis by providing a turnkey approach to visualising n-dimensional data which graphically reveals correlative or associative relationships between 2 or more features. Represents all dataset features as distinct, vertically aligned bar or tile plots, with plot types auto-selected based on whether variables are categorical or numeric.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/selkamand/gg1d, https://selkamand.github.io/gg1d/
BugReports: https://github.com/selkamand/gg1d/issues
Imports: assertions (>= 0.2.0), cli, ggiraph, ggplot2, ggtext, patchwork (>= 1.3.0), rank (>= 0.1.1), rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-07 01:39:11 UTC; selkamand
Author: Sam El-Kamand [aut, cre] , Children's Cancer Institute Australia [cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-09 19:40:02 UTC

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New package AuxSurvey with initial version 0.9
Package: AuxSurvey
Title: Survey Analysis with Auxiliary Discretized Variables
Version: 0.9
Author: Jungang Zou [aut, cre], Yutao Liu [aut], Sharifa Williams [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Probability surveys often use auxiliary continuous data from administrative records, but the utility of this data is diminished when it is discretized for confidentiality. We provide a set of survey estimators to make full use of information from the discretized variables. See Williams, S.Z., Zou, J., Liu, Y., Si, Y., Galea, S. and Chen, Q. (2024) <doi:10.1002/sim.10270> for details.
Encoding: UTF-8
Depends: mgcv, rstanarm, stats
Imports: survey, gtools, coda, BART, dplyr, stringr, gridExtra, rlang
License: Apache License (>= 2)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-08 22:34:57 UTC; zoujungang
Repository: CRAN
Date/Publication: 2024-12-09 20:00:06 UTC

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New package tugboat with initial version 0.1.0
Package: tugboat
Title: Build a Docker Image from a Directory or Project
Version: 0.1.0
Description: Simple utilities to generate a Dockerfile from a directory or project, build the corresponding Docker image, and push the image to DockerHub.
Imports: dockerfiler (>= 0.2.2), here, renv (>= 1.0.0)
Suggests: yaml, rmarkdown, testthat (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
URL: https://www.dmolitor.com/tugboat/
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-06 17:40:33 UTC; dmolitor
Author: Daniel Molitor [aut, cph, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-09 13:40:02 UTC

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New package tinylens with initial version 0.1.0
Package: tinylens
Title: Minimal Implementation of Functional Lenses
Version: 0.1.0
Description: Provides utilities to create and use lenses to simplify data manipulation. Lenses are composable getter/setter pairs that provide a functional approach to manipulating deeply nested data structures, e.g., elements within list columns in data frames. The implementation is based on the earlier 'lenses' R package <https://github.com/cfhammill/lenses>, which was inspired by the Haskell 'lens' package by Kmett (2012) <https://github.com/ekmett/lens>, one of the most widely referenced implementations of lenses. For additional background and history on the theory of lenses, see the 'lens' package wiki: <https://github.com/ekmett/lens/wiki/History-of-Lenses>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang, S7, vctrs
Suggests: tidyselect, tinytest
URL: https://github.com/arbelt/tinylens
BugReports: https://github.com/arbelt/tinylens/issues
NeedsCompilation: no
Packaged: 2024-12-06 15:27:24 UTC; albert
Author: Albert Wang [aut, cre, cph]
Maintainer: Albert Wang <albert_z_wang@harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-09 13:30:02 UTC

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New package surveynnet with initial version 1.0.0
Package: surveynnet
Title: Neural Network for Complex Survey Data
Version: 1.0.0
Description: The goal of 'surveynnet' is to extend the functionality of 'nnet', which already supports survey weights, by enabling it to handle clustered and stratified data. It achieves this by incorporating design effects through the use of effective sample sizes as outlined by Chen and Rust (2017), <doi:10.1093/jssam/smw036>, and performed by 'deffCR' in the package 'PracTools' (Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/237triangle/surveynnet
BugReports: https://github.com/237triangle/surveynnet/issues
Imports: dplyr, nnet, PracTools, stats, survey, survival
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-06 18:16:37 UTC; aaroncohen
Author: Aaron Cohen [aut, cre] , Raul Cruz-Cano [aut]
Maintainer: Aaron Cohen <cohenaa@iu.edu>
Repository: CRAN
Date/Publication: 2024-12-09 13:40:05 UTC

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New package FlexRL with initial version 0.1.0
Package: FlexRL
Title: A Flexible Model for Record Linkage
Version: 0.1.0
Description: Implementation of the Stochastic Expectation Maximisation (StEM) approach to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A. van de Wiel and M. H. Hof (2024, <doi:10.48550/arXiv.2407.06835>); see 'citation("FlexRL")' for details. This is a record linkage method, for finding the common set of records among 2 data sources based on Partially Identifying Variables (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying Variables (e.g. postal code) that may evolve over time and registration errors (missing values and mistakes in the registration). Low memory footprint.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: Matrix (>= 1.7), progress(>= 1.2.3), testit(>= 0.13), Rcpp(>= 1.0.13)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-06 12:59:19 UTC; kayane
Author: Kayane ROBACH [aut, cre, cph]
Maintainer: Kayane ROBACH <k.c.robach@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2024-12-09 13:20:02 UTC

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New package multimolang with initial version 0.1.1
Package: multimolang
Title: 'multimolang': Multimodal Language Analysis
Version: 0.1.1
Description: Process 'OpenPose' human body keypoints for computer vision, including data structuring and user-defined linear transformations for standardization. It optionally, includes metadata extraction from filenames in the UCLA 'NewsScape' archive.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arrow
Suggests: roxygen2 (>= 7.0.0), testthat (>= 3.0.0), knitr, rmarkdown, spelling
URL: https://github.com/daedalusLAB/multimolang
BugReports: https://github.com/daedalusLAB/multimolang/issues
VignetteBuilder: knitr
Copyright: Copyright (C) 2024 Universidad de Murcia
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-05 23:57:13 UTC; bherreno
Author: Brian Herreno Jimenez [aut, cre]
Maintainer: Brian Herreno Jimenez <brian.herreno@um.es>
Repository: CRAN
Date/Publication: 2024-12-09 10:40:02 UTC

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Sun, 08 Dec 2024

New package SurrogateParadoxTest with initial version 1.0
Package: SurrogateParadoxTest
Title: Empirical Testing of Surrogate Paradox Assumptions
Version: 1.0
Date: 2024-12-05
Description: Provides functions to nonparametrically assess assumptions necessary to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of regression functions, and non-negative residual treatment effects. More details are available in Hsiao et al 2024 (under review).
License: GPL
Imports: stats, parallel
NeedsCompilation: no
Packaged: 2024-12-05 20:56:34 UTC; emilyhsiao
Author: Emily Hsiao [aut, cre]
Maintainer: Emily Hsiao <ehsiao@utexas.edu>
Repository: CRAN
Date/Publication: 2024-12-08 22:30:02 UTC

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New package depower with initial version 2024.12.4
Package: depower
Title: Power Analysis for Differential Expression Studies
Version: 2024.12.4
Description: Provides a convenient framework to simulate, test, power, and visualize data for differential expression studies with lognormal or negative binomial outcomes. Supported designs are two-sample comparisons of independent or dependent outcomes. Power may be summarized in the context of controlling the per-family error rate or family-wise error rate. Negative binomial methods are described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.
URL: https://brettklamer.com/work/depower/, https://bitbucket.org/bklamer/depower/
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Imports: Rdpack, stats, mvnfast, glmmTMB, dplyr, multidplyr, ggplot2, scales
Suggests: tinytest, rmarkdown
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-05 04:48:07 UTC; x
Author: Brett Klamer [aut, cre] , Lianbo Yu [aut]
Maintainer: Brett Klamer <code@brettklamer.com>
Repository: CRAN
Date/Publication: 2024-12-08 21:50:02 UTC

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Fri, 06 Dec 2024

New package tablespan with initial version 0.1.7
Package: tablespan
Title: Create Satisficing 'Excel', 'HTML', 'LaTeX', and 'RTF' Tables using a Simple Formula
Version: 0.1.7
Maintainer: Jannik H. Orzek <jannik.orzek@mailbox.org>
Description: Create "good enough" tables with a single formula. 'tablespan' tables can be exported to 'Excel', 'HTML', 'LaTeX', and 'RTF' by leveraging the packages 'openxlsx' and 'gt'. See <https://jhorzek.github.io/tablespan/> for an introduction.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: dplyr, gt, methods, openxlsx, rlang, utils
URL: https://github.com/jhorzek/tablespan, https://jhorzek.github.io/tablespan/
BugReports: https://github.com/jhorzek/tablespan/issues
NeedsCompilation: no
Packaged: 2024-12-04 20:44:35 UTC; jannikorzek
Author: Jannik H. Orzek [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-06 09:20:02 UTC

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New package qcluster with initial version 1.2
Package: qcluster
Version: 1.2
Date: 2024-11-28
Title: Clustering via Quadratic Scoring
Description: Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.
NeedsCompilation: yes
License: GPL (>= 2)
Imports: cluster, doParallel, foreach, grDevices, graphics, iterators, methods, parallel, stats
LazyData: TRUE
Encoding: UTF-8
Packaged: 2024-12-04 15:04:18 UTC; lcorag
Author: Luca Coraggio [cre, aut] , Pietro Coretto [aut]
Maintainer: Luca Coraggio <luca.coraggio@unina.it>
Repository: CRAN
Date/Publication: 2024-12-06 09:20:07 UTC

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New package PhenotypeR with initial version 0.1.0
Package: PhenotypeR
Title: Assess Study Cohorts Using a Common Data Model
Version: 0.1.0
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
Suggests: CDMConnector (>= 1.6.1), duckdb, DBI, gt, omock, testthat (>= 3.0.0), knitr, visOmopResults (>= 0.5.0), glue, RPostgres, PatientProfiles (>= 1.2.2), ggplot2, ggpubr, stringr, shiny, DiagrammeR, sortable, shinycssloaders, here, DT, bslib, shinyWidgets, plotly, tidyr
Imports: CodelistGenerator (>= 3.3.1), CohortCharacteristics (>= 0.4.0), CohortConstructor (>= 0.3.2), cli, dplyr, IncidencePrevalence (>= 0.9.0), omopgenerics (>= 0.4.0), OmopSketch (>= 0.1.2), magrittr, purrr, rlang, vctrs, usethis
URL: https://ohdsi.github.io/PhenotypeR/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-04 13:42:21 UTC; eburn
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>
Repository: CRAN
Date/Publication: 2024-12-06 09:10:05 UTC

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New package sooty with initial version 0.1.0
Package: sooty
Title: Data Source Catalogues Online for Southern Ocean Ecosystem Research
Version: 0.1.0
Description: Obtains lists of files of remote sensing collections for Southern Ocean surface properties. Commonly used data sources of sea surface temperature, sea ice concentration, and altimetry products such as sea surface height and sea surface currents are cached in object storage on the Pawsey Supercomputing Research Centre facility. Functions to retrieve these object storage catalogues are provided. The catalogues include complete collections of datasets Reynolds et al. (2008) "NOAA Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1" <doi:10.7289/V5SQ8XB5>, Spreen et al. (2008) "Artist Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) sea ice concentration" <doi:10.1029/2005JC003384>. In future releases helpers will be added to identify particular data collections and target specific dates for earth observation data for reading, as well as helpers to retrieve data set citation and provenance details.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: arrow, cachem, dplyr, memoise, curl
URL: https://github.com/mdsumner/sooty
BugReports: https://github.com/mdsumner/sooty/issues
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-04 13:31:59 UTC; mdsumner
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <michael.sumner@aad.gov.au>
Repository: CRAN
Date/Publication: 2024-12-06 09:00:02 UTC

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Thu, 05 Dec 2024

New package robqda with initial version 1.0
Package: robqda
Title: Robust Quadratic Discriminant Analysis
Version: 1.0
Date: 2024-12-03
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: MASS, Rfast, Rfast2
Suggests: mvcauchy
License: GPL (>= 2)
Description: The minimum covariance determinant estimator is used to perform robust quadratic discriminant analysis, including cross-validation. References: Friedman J., Hastie T. and Tibshirani R. (2009). "The elements of statistical learning", 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>.
NeedsCompilation: no
Packaged: 2024-12-03 19:44:27 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-12-05 18:40:07 UTC

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New package RegDDM with initial version 1.0
Package: RegDDM
Title: Generalized Linear Regression with DDM
Version: 1.0
Description: Drift-Diffusion Model (DDM) has been widely used to model binary decision-making tasks, and many research studies the relationship between DDM parameters and other characteristics of the subject. This package uses 'RStan' to perform generalized liner regression analysis over DDM parameters via a single Bayesian Hierarchical model. Compared to estimating DDM parameters followed by a separate regression model, 'RegDDM' reduces bias and improves statistical power.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/biorabbit/RegDDM
BugReports: https://github.com/biorabbit/RegDDM/issues
Imports: rstan, stringr, dplyr, tidyr, purrr, rtdists, rlang, stats,
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-04 05:08:59 UTC; Rabbit
Author: Zekai Jin [aut, cre]
Maintainer: Zekai Jin <Jin.Zekai@nyspi.columbia.edu>
Repository: CRAN
Date/Publication: 2024-12-05 19:00:12 UTC

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New package rectpacker with initial version 1.0.0
Package: rectpacker
Title: Rectangle Packing
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
URL: https://github.com/coolbutuseless/rectpacker
BugReports: https://github.com/coolbutuseless/rectpacker/issues
Description: Rectangle packing is a packing problem where rectangles are placed into a larger rectangular region (without overlapping) in order to maximise the use space. Rectangles are packed using the skyline heuristic as discussed in Lijun et al (2011) 'A Skyline-Based Heuristic for the 2D Rectangular Strip Packing Problem' <doi:10.1007/978-3-642-21827-9_29>. A function is also included for determining a good small-sized box for containing a given set of rectangles.
License: MIT + file LICENSE
Encoding: UTF-8
Copyright: The included 'stb_rect_pack.h' header (v1.01) is Copyright (c) 2017 Sean Barrett and licensed under the MIT license. See COPYRIGHTS file for more details.
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-12-04 06:32:19 UTC; mike
Author: Mike Cheng [aut, cre, cph], Sean Barrett [aut, cph]
Repository: CRAN
Date/Publication: 2024-12-05 19:00:02 UTC

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New package recforest with initial version 1.0.0
Package: recforest
Title: Random Survival Forest for Recurrent Events
Version: 1.0.0
Description: Analyze recurrent events with right-censored data and the potential presence of a terminal event (that prevents further occurrences, like death). 'recofest' extends the random survival forest algorithm, adapting splitting rules and node estimators to handle complexities of recurrent events. The methodology is fully described in Murris, J., Bouaziz, O., Jakubczak, M., Katsahian, S., & Lavenu, A. (2024) (<https://hal.science/hal-04612431v1/document>).
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: frailtypack, knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: cli, dplyr, future, future.apply, magrittr, methods, mets, purrr, reda, stats, survival, tibble, timereg
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-03 10:30:40 UTC; colinfay
Author: Juliette Murris [aut, cre] , Guillaume Desachy [aut] , Colin Fay [aut] , Yohann Mansiaux [aut] , Audrey Lavenu [aut] , Sandrine Katsahian [aut]
Maintainer: Juliette Murris <murris.juliette@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-05 18:30:02 UTC

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New package RapidFuzz with initial version 1.0
Package: RapidFuzz
Title: String Similarity Computation Using 'RapidFuzz'
Version: 1.0
Date: 2024-11-30
Description: Provides a high-performance interface for calculating string similarities and distances, leveraging the efficient library 'RapidFuzz' <https://github.com/rapidfuzz/rapidfuzz-cpp>. This package integrates the 'C++' implementation, allowing 'R' users to access cutting-edge algorithms for fuzzy matching and text analysis.
URL: <https://github.com/StrategicProjects/RapidFuzz>
Note: This package makes use of the 'RapidFuzz' source code created by Max Bachmann and Adam Cohen (<https://github.com/rapidfuzz/rapidfuzz-cpp>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.0.13)
LinkingTo: Rcpp
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2024-12-03 20:17:05 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Max Bachmann [ctb], Adam Cohen [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2024-12-05 18:40:14 UTC

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New package mixedbiastest with initial version 0.2.1
Package: mixedbiastest
Title: Bias Diagnostic for Linear Mixed Models
Version: 0.2.1
Date: 2024-12-03
Maintainer: Andrew T. Karl <akarl@asu.edu>
Description: Provides a function to perform bias diagnostics on linear mixed models fitted with 'lmer()' from the 'lme4' package. Implements permutation tests for assessing the bias of fixed effects, as described in Karl and Zimmerman (2021) <doi:10.1016/j.jspi.2020.06.004>. Karl and Zimmerman (2020) <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using 'mvglmmRank' output. Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Depends: R (>= 3.5.0)
Imports: lme4, Matrix, ggplot2, rlang
Suggests: plm
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-04 01:24:33 UTC; andre
Author: Andrew T. Karl [cre, aut]
Repository: CRAN
Date/Publication: 2024-12-05 18:50:01 UTC

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New package MIGEE with initial version 0.1.0
Package: MIGEE
Title: Impute Missing Values and Fitting Linear Mixed Effect Model
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Implements methods for estimating generalized estimating equations (GEE) with advanced options for flexible modeling and handling missing data. This package provides tools to fit and analyze GEE models for longitudinal data, allowing users to address missingness using a variety of imputation techniques. It supports both univariate and multivariate modeling, visualization of missing data patterns, and facilitates the transformation of data for efficient statistical analysis. Designed for researchers working with complex datasets, it ensures robust estimation and inference in longitudinal and clustered data settings.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
ByteCompile: Yes
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Neelesh Kumar [aut, ctb]
Imports: mice,VIM,ggplot2,lme4,ggeffects,dplyr,readr,reshape2
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-12-03 23:34:04 UTC; atanubhattacharjee
Repository: CRAN
Date/Publication: 2024-12-05 18:50:09 UTC

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New package iclogcondist with initial version 1.0.1
Package: iclogcondist
Title: Log-Concave Distribution Estimation with Interval-Censored Data
Version: 1.0.1
Description: We consider the non-parametric maximum likelihood estimation of the underlying distribution function, assuming log-concavity, based on mixed-case interval-censored data. The algorithm implemented is base on Chi Wing Chu, Hok Kan Ling and Chaoyu Yuan (2024, <doi:10.48550/arXiv.2411.19878>).
License: GPL-3
Imports: Rcpp, flexsurv, ggplot2, icenReg, monotone, fdrtool
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2024-12-04 02:43:33 UTC; ycyma
Author: Chi Wing Chu [aut], Hok Kan Ling [aut], Chaoyu Yuan [aut, cre]
Maintainer: Chaoyu Yuan <chaoyu.yuan@columbia.edu>
Repository: CRAN
Date/Publication: 2024-12-05 19:00:06 UTC

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New package GVS with initial version 0.0.1
Package: GVS
Title: 'Geocoordinate Validation Service'
Version: 0.0.1
Description: The 'Geocoordinate Validation Service' (GVS) runs checks of coordinates in latitude/longitude format. It returns annotated coordinates with additional flags and metadata that can be used in data cleaning. Additionally, the package has functions related to attribution and metadata information. More information can be found at <https://github.com/ojalaquellueva/gvs/tree/master/api>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: jsonlite, httr
Suggests: knitr, rmarkdown, testthat, devtools, BIEN, vcr (>= 0.6.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-03 22:09:37 UTC; Brian Maitner
Author: Brian Maitner [aut, cre] , Brad Boyle [aut], Rethvick Sriram Yugendra Babu [aut]
Maintainer: Brian Maitner <bmaitner@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-05 18:40:18 UTC

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New package GOLDprice with initial version 0.1.0
Package: GOLDprice
Title: Gold Price Data
Version: 0.1.0
Author: Fadhlul Mubarak [aut, cre], Nurniswah [aut], Vinny Yuliani Sundara [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Description: A collection of gold price data in various currencies in the form of USD, EUR, JPY, GBP, CAD, CHF, INR, CNY, TRY, SAR, IDR, AED, THB, VND, EGP, KRW, RUB, ZAR, and AUD. This data comes from the World Gold Council. In addition, the data is in the form of daily, weekly, monthly (average and the end of period), quarterly (average and the end of period), and yearly (average and the end of period).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: readxl
NeedsCompilation: no
Packaged: 2024-12-04 01:36:08 UTC; HP
Repository: CRAN
Date/Publication: 2024-12-05 18:50:11 UTC

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New package GDILM.SEIRS with initial version 0.0.1
Package: GDILM.SEIRS
Title: Spatial Individual Level Modeling of Infectious Disease Transmission with Reinfection Dynamics
Version: 0.0.1
Description: Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: MASS, mvtnorm, ngspatial, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-03 20:19:14 UTC; aminabed
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-12-05 18:40:21 UTC

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New package ErlangC with initial version 0.1.0
Package: ErlangC
Title: Solve Erlang-C Model
Version: 0.1.0
Maintainer: Damonsoul <chenmaowei96@gmail.com>
Description: Provides a set of functions to solve Erlang-C model. The Erlang C formula was invented by the Danish Mathematician A.K. Erlang and is used to calculate the number of advisors and the service level.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: bsicons, bslib, DT, gmp, lubridate, shiny, tidyr
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-03 08:56:01 UTC; Administrator
Author: Damonsoul [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-05 18:30:15 UTC

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New package educationR with initial version 0.1.0
Package: educationR
Title: A Comprehensive Collection of Educational Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a comprehensive collection of datasets related to education, covering topics such as student performance, learning methods, test scores, absenteeism, and other educational metrics. This package serves as a resource for educational researchers, data analysts, and statisticians to explore and analyze data in the field of education.
License: GPL-3
URL: https://github.com/lightbluetitan/educationr, https://lightbluetitan.github.io/educationr/
BugReports: https://github.com/lightbluetitan/educationr/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-03 23:09:29 UTC; renzocrossi
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-12-05 18:50:04 UTC

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New package drhutools with initial version 1.0.0
Package: drhutools
Title: Political Science Academic Research Gears
Version: 1.0.0
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>
Description: Using these tools to simplify the research process of political science and other social sciences. The current version can create folder system for academic project in political science, calculate psychological trait scores, visualize experimental and spatial data, and set up color-blind palette, functions used in academic research of political psychology or political science in general.
URL: https://www.drhuyue.site/software/drhutools/
BugReports: https://github.com/sammo3182/drhutools/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R(>= 3.6.0)
Imports: dplyr, ggplot2, purrr, htmltools, sf, htmlwidgets, jsonlite, leaflet, sp, stats, methods, gganimate, magick, mapview, webshot, animation, png, grDevices
LazyData: true
Suggests: knitr, remotes, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-03 09:51:25 UTC; yuehu
Author: Yue Hu [aut, cre], Wen Deng [ctb]
Repository: CRAN
Date/Publication: 2024-12-05 18:30:12 UTC

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New package BayesianFitForecast with initial version 1.0.0
Package: BayesianFitForecast
Title: Bayesian Parameter Estimation and Forecasting for Epidemiological Models
Version: 1.0.0
Description: Methods for Bayesian parameter estimation and forecasting in epidemiological models. Functions enable model fitting using Bayesian methods and generate forecasts with uncertainty quantification. Implements approaches described in <doi:10.48550/arXiv.2411.05371> and <doi:10.1002/sim.9164>.
License: CC0
Encoding: UTF-8
Imports: bayesplot, readxl, openxlsx, rstan, ggplot2, dplyr
Depends: R (>= 3.5.0)
URL: https://github.com/gchowell/BayesianFitForecast
BugReports: https://github.com/gchowell/BayesianFitForecast/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-03 05:55:12 UTC; hamedkp
Author: Hamed Karami [aut], Amanda Bleichrodt [aut], Ruiyan Luo [aut], Gerardo Chowell [aut, cre]
Maintainer: Gerardo Chowell <gchowell@gsu.edu>
Repository: CRAN
Date/Publication: 2024-12-05 18:20:07 UTC

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New package airship with initial version 1.4.3
Package: airship
Title: Visualization of Simulated Datasets with Multiple Simulation Input Dimensions
Version: 1.4.3
Description: Plots simulation results of clinical trials. Its main feature is allowing users to simultaneously investigate the impact of several simulation input dimensions through dynamic filtering of the simulation results. A more detailed description of the app can be found in Meyer et al. <DOI:10.1016/j.softx.2023.101347> or the vignettes on 'GitHub'.
BugReports: https://github.com/el-meyer/airship/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10), shiny, shinyBS
Imports: DT, shinybusy, plotly, dplyr, tidyselect, tidyr, stringr, colourpicker, shinyWidgets, shinydashboard, scales, Cairo, ggplot2, rlang, magrittr, shinyjs, data.table, shinyalert, vctrs, mvtnorm
LazyData: true
Suggests: knitr, rmarkdown, ggpubr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-03 20:01:01 UTC; elias
Author: Elias Laurin Meyer [aut, cre] , Constantin Kumaus [aut, ctb], Michal Majka [aut, ctb] , Franz Koenig [aut, ctb]
Maintainer: Elias Laurin Meyer <elias@berryconsultants.net>
Repository: CRAN
Date/Publication: 2024-12-05 18:40:10 UTC

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Wed, 04 Dec 2024

New package wooldridge with initial version 1.4-4
Package: wooldridge
Title: 115 Data Sets from "Introductory Econometrics: A Modern Approach, 7e" by Jeffrey M. Wooldridge
Version: 1.4-4
Description: Students learning both econometrics and R may find the introduction to both challenging. The wooldridge data package aims to lighten the task by efficiently loading any data set found in the text with a single command. Data sets have been compressed to a fraction of their original size. Documentation files contain page numbers, the original source, time of publication, and notes from the author suggesting avenues for further analysis and research. If one needs an introduction to R model syntax, a vignette contains solutions to examples from chapters of the text. Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0), and are backwards compatible with all previous versions of the text.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, stargazer, tinytest, xts, zoo
VignetteBuilder: knitr
LazyDataCompression: xz
URL: https://justinmshea.github.io/wooldridge/
BugReports: https://github.com/JustinMShea/wooldridge/issues/
NeedsCompilation: no
Packaged: 2024-12-04 08:22:58 UTC; impartial-spec
Author: Justin M. Shea [aut, cre], Kennth H. Brown [ctb]
Maintainer: Justin M. Shea <jshea@roosevelt.edu>
Repository: CRAN
Date/Publication: 2024-12-04 13:30:03 UTC

More information about wooldridge at CRAN
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New package iClusterVB with initial version 0.1.3
Package: iClusterVB
Title: Fast Integrative Clustering and Feature Selection for High Dimensional Data
Version: 0.1.3
Author: Abdalkarim Alnajjar [aut, cre, cph] , Zihang Lu [aut]
Maintainer: Abdalkarim Alnajjar <abdalkarim.alnajjar@queensu.ca>
Description: A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
License: MIT + file LICENSE
URL: https://github.com/AbdalkarimA/iClusterVB
BugReports: https://github.com/AbdalkarimA/iClusterVB/issues
Depends: R (>= 4.0.0)
Imports: cluster, clustMixType, cowplot, ggplot2, graphics, grDevices, mclust, MCMCpack, mvtnorm, pheatmap, poLCA, R.utils, Rcpp (>= 1.0.12), stats, utils, VarSelLCM
Suggests: knitr, rmarkdown, survival, survminer
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-04 06:06:26 UTC; Abdalkarim
Repository: CRAN
Date/Publication: 2024-12-04 08:20:07 UTC

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Tue, 03 Dec 2024

New package aphylo with initial version 0.3-4
Package: aphylo
Title: Statistical Inference and Prediction of Annotations in Phylogenetic Trees
Version: 0.3-4
Description: Implements a parsimonious evolutionary model to analyze and predict gene-functional annotations in phylogenetic trees as described in Vega Yon et al. (2021) <doi:10.1371/journal.pcbi.1007948>. Focusing on computational efficiency, 'aphylo' makes it possible to estimate pooled phylogenetic models, including thousands (hundreds) of annotations (trees) in the same run. The package also provides the tools for visualization of annotated phylogenies, calculation of posterior probabilities (prediction) and goodness-of-fit assessment featured in Vega Yon et al. (2021).
Depends: R (>= 3.5.0), ape (>= 5.0)
LazyData: true
Imports: Rcpp (>= 0.12.1), Matrix, methods, coda, fmcmc, utils, MASS, xml2
Suggests: covr, knitr, tinytest, AUC, rmarkdown,
VignetteBuilder: knitr
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://github.com/USCbiostats/aphylo
BugReports: https://github.com/USCbiostats/aphylo/issues
Classification/MSC: 90C35, 90B18, 91D30
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2024-12-03 16:29:02 UTC; u6039184
Author: George Vega Yon [aut, cre] , National Cancer Institute [fnd] , USC Biostatistics [cph]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 23:00:10 UTC

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New package extractox with initial version 0.1.0
Package: extractox
Title: Extract Tox Info from Various Databases
Version: 0.1.0
Description: Extract toxicological and chemical information from databases maintained by scientific agencies and resources, including the Comparative Toxicogenomics Database <https://ctdbase.org/>, the Integrated Chemical Environment <https://ice.ntp.niehs.nih.gov/>, the Integrated Risk Information System <https://cfpub.epa.gov/ncea/iris/>, the CompTox Chemicals Dashboard Resource Hub <https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-resource-hub>, and PubChem <https://pubchem.ncbi.nlm.nih.gov/>.
License: MIT + file LICENSE
URL: https://github.com/c1au6i0/extractox, https://c1au6i0.github.io/extractox/
BugReports: https://github.com/c1au6i0/extractox/issues
Depends: R (>= 4.1)
Imports: cli, httr2, janitor, pingr, readxl, rvest, webchem
Suggests: openxlsx, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-03 03:11:03 UTC; heverz
Author: Claudio Zanettini [aut, cre, cph] , Lucio Queiroz [aut]
Maintainer: Claudio Zanettini <claudio.zanettini@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 21:40:02 UTC

More information about extractox at CRAN
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New package csmGmm with initial version 0.3.0
Package: csmGmm
Title: Conditionally Symmetric Multidimensional Gaussian Mixture Model
Version: 0.3.0
Description: Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (2024, <doi:10.1080/01621459.2024.2422124>). The paper is accepted and published online (but not yet in print) in the Journal of the American Statistical Association as of Dec 1 2024.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, mvtnorm, rlang, magrittr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-02 20:45:12 UTC; rsun3
Author: Ryan Sun [aut, cre]
Maintainer: Ryan Sun <ryansun.work@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 19:30:02 UTC

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New package basicspace with initial version 0.25
Package: basicspace
Title: Recovering a Basic Space from Issue Scales
Version: 0.25
Date: 2024-12-02
Author: Royce Carroll [aut], Christopher Hare [aut, cre], Jeffrey B. Lewis [aut], James Lo [aut], Keith T. Poole [aut], Howard Rosenthal [aut]
Maintainer: Christopher Hare <cdhare@ucdavis.edu>
Description: Provides functions to estimate latent dimensions of choice and judgment using Aldrich-McKelvey and Blackbox scaling methods, as described in Poole et al. (2016, <doi:10.18637/jss.v069.i07>). These techniques allow researchers (particularly those analyzing political attitudes, public opinion, and legislative behavior) to recover spatial estimates of political actors' ideal points and stimuli from issue scale data, accounting for perceptual bias, multidimensional spaces, and missing data. The package uses singular value decomposition and alternating least squares (ALS) procedures to scale self-placement and perceptual data into a common latent space for the analysis of ideological or evaluative dimensions. Functionality also include tools for assessing model fit, handling complex survey data structures, and reproducing simulated datasets for methodological validation.
License: GPL-2
Depends: R (>= 3.0.0), tools
URL: https://CRAN.R-project.org/package=basicspace
NeedsCompilation: yes
Packaged: 2024-12-02 16:53:42 UTC; chare
Repository: CRAN
Date/Publication: 2024-12-03 19:10:01 UTC

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New package sshicm with initial version 0.1.0
Package: sshicm
Title: Information Consistency-Based Measures for Spatial Stratified Heterogeneity
Version: 0.1.0
Description: Spatial stratified heterogeneity (SSH) denotes the coexistence of within-strata homogeneity and between-strata heterogeneity. Information consistency-based methods provide a rigorous approach to quantify SSH and evaluate its role in spatial processes, grounded in principles of geographical stratification and information theory (Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>; Wang, J. et al. (2024) <doi:10.1080/24694452.2023.2289982>).
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/sshicm/, https://github.com/stscl/sshicm
BugReports: https://github.com/stscl/sshicm/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, purrr, sdsfun (>= 0.5.0), sf
Suggests: gdverse, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-02 16:04:56 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 19:00:02 UTC

More information about sshicm at CRAN
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New package resourcecode with initial version 0.2.1
Package: resourcecode
Title: Access to the 'RESOURCECODE' Hindcast Database
Version: 0.2.1
Date: 2024-11-29
Description: Utility functions to download data from the 'RESOURCECODE' hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
License: GPL (>= 3)
URL: https://github.com/Resourcecode-project/r-resourcecode, https://resourcecode-project.github.io/r-resourcecode/
BugReports: https://github.com/Resourcecode-project/r-resourcecode/issues
Depends: R (>= 3.6)
Imports: abind, curl, geosphere, ggplot2, jsonlite, ncdf4, pracma, Rcpp, rlang, sf, stats, tibble, tidyr
Suggests: knitr, rmarkdown, resourcecodedata, testthat, vdiffr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Additional_repositories: https://resourcecode-project.github.io/drat/
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-02 14:54:43 UTC; nraillar
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>
Repository: CRAN
Date/Publication: 2024-12-03 19:00:05 UTC

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New package RCNA with initial version 1.0
Package: RCNA
Title: Robust Copy Number Alteration Detection (RCNA)
Version: 1.0
Description: Detects copy number alteration events in targeted exon sequencing data for tumor samples without matched normal controls. The advantage of this method is that it can be applied to smaller sequencing panels including evaluations of exon, transcript, gene, or even user specified genetic regions of interest. Functions in the package include steps for GC-content correction, calculation of quantile based normal karyotype ranges, and calculation of feature score. Cutoffs for "normal" quantile and score are user-adjustable.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: doParallel, methods, utils, modeest, data.table, foreach, R.utils
Suggests: knitr, rmarkdown, usethis
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-02 13:13:50 UTC; mbradley
Author: Matt Bradley [aut, cre]
Maintainer: Matt Bradley <mbradley@emmes.com>
Repository: CRAN
Date/Publication: 2024-12-03 18:40:06 UTC

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New package messy with initial version 0.1.0
Package: messy
Title: Create Messy Data from Clean Data Frames
Version: 0.1.0
Description: For the purposes of teaching, it is often desirable to show examples of working with messy data and how to clean it. This R package creates messy data from clean, tidy data frames so that students have a clean example to work towards.
Depends: R (>= 4.1)
Imports: dplyr, rlang, stringr
License: CC BY 4.0
Suggests: lubridate, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://nrennie.rbind.io/messy/, https://github.com/nrennie/messy
BugReports: https://github.com/nrennie/messy/issues
NeedsCompilation: no
Packaged: 2024-12-02 13:54:12 UTC; rennien2
Author: Nicola Rennie [aut, cre, cph]
Maintainer: Nicola Rennie <nrennie35@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 18:50:02 UTC

More information about messy at CRAN
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Mon, 02 Dec 2024

New package gtfs2emis with initial version 0.1.1
Package: gtfs2emis
Title: Estimating Public Transport Emissions from General Transit Feed Specification (GTFS) Data
Version: 0.1.1
Description: A bottom up model to estimate the emission levels of public transport systems based on General Transit Feed Specification (GTFS) data. The package requires two main inputs: i) Public transport data in the GTFS standard format; and ii) Some basic information on fleet characteristics such as fleet age, technology, fuel and Euro stage. As it stands, the package estimates several pollutants at high spatial and temporal resolutions. Pollution levels can be calculated for specific transport routes, trips, time of the day or for the transport system as a whole. The output with emission estimates can be extracted in different formats, supporting analysis on how emission levels vary across space, time and by fleet characteristics. A full description of the methods used in the 'gtfs2emis' model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R. (2022) <doi:10.31219/osf.io/8m2cy>.
URL: https://ipeagit.github.io/gtfs2emis/ , https://github.com/ipeaGIT/gtfs2emis
BugReports: https://github.com/ipeaGIT/gtfs2emis/issues
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: checkmate, data.table, furrr, future, gtfs2gps, methods, sf (>= 0.9-0), sfheaders, terra, units
Suggests: gtfstools, ggplot2, knitr, lwgeom, progressr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-02 15:20:51 UTC; joao
Author: Joao Bazzo [aut, cre] , Rafael H. M. Pereira [aut] , Pedro R. Andrade [aut] , Sergio Ibarra-Espinosa [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Joao Bazzo <joao.bazzo@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-02 15:40:12 UTC

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New package atime with initial version 2024.11.29
Package: atime
Title: Asymptotic Timing
Version: 2024.11.29
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
License: GPL-3
URL: https://github.com/tdhock/atime
BugReports: https://github.com/tdhock/atime/issues
Imports: data.table, bench, lattice, git2r, utils, stats, grDevices
Suggests: directlabels, ggplot2, testthat, knitr, markdown, stringi, re2, binsegRcpp, wbs, fpop, changepoint, LOPART, cumstats, PeakSegDisk, callr, readr, dplyr, tidyr, nc, RColorBrewer, tibble, Matrix
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-02 14:59:47 UTC; hoct2726
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2024-12-02 15:40:21 UTC

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New package wdiEF with initial version 1.0.2
Package: wdiEF
Title: Calculation of the Water Deficit Index (WDI) and the Evaporative Fraction (EF) on Rasters
Version: 1.0.2
Description: Calculates the Water Deficit Index (WDI) and the Evaporative Fraction (EF) using geospatial data, such as fractional vegetation cover (FVC) and surface-air temperature difference (TS-TA). Terms like "raster", "CRS" are part of standard geospatial terminology.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, stats, terra
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-01 14:55:12 UTC; hamelin
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>
Repository: CRAN
Date/Publication: 2024-12-02 12:40:06 UTC

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New package twc with initial version 0.0.1
Package: twc
Title: Terrestrial Water Cycle
Version: 0.0.1
Description: An open-access tool/framework that constitutes the core functions to analyze terrestrial water cycle data across various spatio-temporal scales.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
Imports: data.table, doParallel, foreach, lubridate, magrittr, methods, ncdf4, parallel, raster, sf, sp,utils
URL: https://github.com/imarkonis/twc
BugReports: https://github.com/imarkonis/twc/issues
SystemRequirements: PROJ (>= 6, https://proj.org/download.html), GDAL (>= 3, https://gdal.org/download.html), NetCDF(>= 4, https://www.unidata.ucar.edu/software/netcdf/).
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-29 15:53:34 UTC; mirovago
Author: Mijael Rodrigo Vargas Godoy [aut, cre] , Yannis Markonis [aut]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-02 12:40:31 UTC

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New package sffdr with initial version 1.0.0
Package: sffdr
Title: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies
Version: 1.0.0
Maintainer: Andrew Bass <ab3105@cam.ac.uk>
Description: Pleiotropy-informed significance analysis of genome-wide association studies (GWAS) with surrogate functional false discovery rates (sfFDR). The sfFDR framework adapts the fFDR to leverage informative data from multiple sets of GWAS summary statistics to increase power in study while accommodating for linkage disequilibrium. sfFDR provides estimates of key FDR quantities in a significance analysis such as the functional local FDR and q-value, and uses these estimates to derive a functional p-value for type I error rate control and a functional local Bayes' factor for post-GWAS analyses (e.g., fine mapping and colocalization). The sfFDR framework is described in Bass and Wallace (2024) <doi:10.1101/2024.09.24.24314276>.
URL: https://github.com/ajbass/sffdr
License: LGPL
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 3.5.0)
Imports: locfit, splines, dplyr, ggplot2 (>= 3.5.1), patchwork (>= 1.3.0), gam, qvalue, tibble, tidyr, Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-11-29 14:22:57 UTC; andrewbass
Author: Andrew Bass [aut, cre], Chris Wallace [aut]
Repository: CRAN
Date/Publication: 2024-12-02 12:30:08 UTC

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New package scR with initial version 0.1.0
Package: scR
Title: Estimate Vapnik-Chervonenkis Dimension and Sample Complexity
Version: 0.1.0
Description: We provide a suite of tools for estimating the sample complexity of a chosen model through theoretical bounds and simulation. The package incorporates methods for estimating the Vapnik-Chervonenkis dimension (VCD) of a chosen algorithm, which can be used to estimate its sample complexity. Alternatively, we provide simulation methods to estimate sample complexity directly. For more details, see Carter, P & Choi, D (2024). "Learning from Noise: Applying Sample Complexity for Political Science Research" <doi:10.31219/osf.io/evrcj>.
Encoding: UTF-8
URL: https://github.com/pjesscarter/scR
BugReports: https://github.com/pjesscarter/scR/issues
Imports: parallel, pbapply, caret, dplyr, tidyr, ggplot2, plotly
Suggests: rmarkdown
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-11-29 10:31:52 UTC; pjc504
Author: Perry Carter [aut, cre] , Dahyun Choi [aut]
Maintainer: Perry Carter <pjc504@nyu.edu>
Repository: CRAN
Date/Publication: 2024-12-02 12:20:07 UTC

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New package SAKERNAS with initial version 0.1.0
Package: SAKERNAS
Title: A National Labor Force Survey of Indonesia
Version: 0.1.0
Author: Fadhlul Mubarak [aut, cre], Nurniswah [aut], Vinny Yuliani Sundara [aut], Arsyad Lubis [aut], Ahmad Syukron Prasaja [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Description: Surveys to collect employment data so as to obtain data estimates on the number of employed people, the number of unemployed, and other employment indicators.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: readxl
NeedsCompilation: no
Packaged: 2024-11-29 22:29:32 UTC; HP
Repository: CRAN
Date/Publication: 2024-12-02 12:51:04 UTC

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New package RCMsize with initial version 1.0.0
Package: RCMsize
Title: Sample Size Calculation in Reversible Catalytic Models
Version: 1.0.0
Maintainer: Marcia Graca <marcia_da_graca@hotmail.com>
Description: Sample size and confidence interval calculations in reversible catalytic models, with applications in malaria research. Further details can be found in the paper by Sepúlveda and Drakeley (2015, <doi:10.1186/s12936-015-0661-z>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: binom, stats
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, tools
URL: https://github.com/marciagraca/RCMsize , https://marciagraca.github.io/RCMsize/
BugReports: https://github.com/marciagraca/RCMsize/issues
NeedsCompilation: no
Packaged: 2024-11-29 16:29:42 UTC; Visitante
Author: Marcia Graca [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-02 12:41:41 UTC

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New package pipeflow with initial version 0.1.1
Package: pipeflow
Title: Implement Data Analysis Workflows with Pipelines
Version: 0.1.1
Description: A lightweight yet powerful framework for creating data analysis pipelines. You build your pipelines simply by defining a sequence of R functions and 'pipeflow' takes care of tracking dependencies among steps and managing all the analysis parameters. The framework is easy to get started with for the typical R user, but also provides advanced features to enable complex workflows.
License: GPL-3
Imports: data.table, jsonlite, lgr, methods, R6, stats, utils
Suggests: ggplot2, knitr, mockery, rmarkdown, testthat, visNetwork
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Maintainer: Roman Pahl <roman.pahl@gmail.com>
Packaged: 2024-12-01 12:41:00 UTC; Roman
Author: Roman Pahl [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-02 12:40:56 UTC

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New package MEDesigns with initial version 1.0.0
Package: MEDesigns
Title: Mating Environmental Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: In breeding experiments, mating environmental (ME) designs are very popular as mating designs are directly implemented in the field environment using block or row-column designs. Here, three functions are given related to three new methods which will generate mating diallel cross designs (Hinkelmann and Kempthorne, 1963<doi:10.2307/2333899>) or mating environmental (ME) designs along with design parameters, C matrix, eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency factor (CEF). Another one function is added to check the properties of a given ME diallel cross design.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-30 13:09:06 UTC; Ashutosh
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Repository: CRAN
Date/Publication: 2024-12-02 12:31:07 UTC

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New package ldmppr with initial version 1.0.3
Package: ldmppr
Title: Estimate and Simulate from Location Dependent Marked Point Processes
Version: 1.0.3
Maintainer: Lane Drew <lanetdrew@gmail.com>
Description: A suite of tools for estimating, assessing model fit, simulating from, and visualizing location dependent marked point processes characterized by regularity in the pattern. You provide a reference marked point process, a set of raster images containing location specific covariates, and select the estimation algorithm and type of mark model. 'ldmppr' estimates the process and mark models and allows you to check the appropriateness of the model using a variety of diagnostic tools. Once a satisfactory model fit is obtained, you can simulate from the model and visualize the results. Documentation for the package 'ldmppr' is available in the form of a vignette.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.12), terra, doParallel, xgboost, ranger, parsnip, dials, bundle, recipes, rsample, tune, workflows, magrittr, hardhat, ggplot2, spatstat.geom, spatstat.explore, nloptr, GET, progress, dplyr, future, furrr, yardstick
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/lanedrew/ldmppr
BugReports: https://github.com/lanedrew/ldmppr/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2024-11-29 19:39:14 UTC; lanedrew
Author: Lane Drew [aut, cre, cph] , Andee Kaplan [aut]
Repository: CRAN
Date/Publication: 2024-12-02 12:41:19 UTC

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New package ILRCM with initial version 0.1.0
Package: ILRCM
Title: Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Convert irregularly spaced longitudinal data into regular intervals for further analysis, and perform clustering using advanced machine learning techniques. The package is designed for handling complex longitudinal datasets, optimizing them for research in healthcare, demography, and other fields requiring temporal data modeling.
Imports: ggplot2, scales
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-11-29 23:11:06 UTC; Atanu Bhattacharjee
Author: Atanu Bhattacharjee [aut, cre, ctb], Tanmoy Majumdar [aut, ctb]
Repository: CRAN
Date/Publication: 2024-12-02 12:51:13 UTC

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New package IDLFM with initial version 0.0.1
Package: IDLFM
Title: Individual Dynamic Latent Factor Model
Version: 0.0.1
Maintainer: Siyang Liu <liusiyang.lucia@gmail.com>
Description: A personalized dynamic latent factor model (Zhang et al. (2024) <doi:10.1093/biomet/asae015>) for irregular multi-resolution time series data, to interpolate unsampled measurements from low-resolution time series.
Depends: R (>= 4.4.0)
Imports: stats, methods, splines, SparseArray
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-01 18:45:28 UTC; 24952
Author: Siyang Liu [aut, cre], Jiuchen Zhang [aut]
Repository: CRAN
Date/Publication: 2024-12-02 13:00:04 UTC

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New package gfoRmulaICE with initial version 0.1.0
Package: gfoRmulaICE
Title: Parametric Iterative Conditional Expectation G-Formula
Version: 0.1.0
Description: Implements iterative conditional expectation (ICE) estimators of the plug-in g-formula (Wen, Young, Robins, and Hernán (2020) <doi: 10.1111/biom.13321>). Both singly robust and doubly robust ICE estimators based on parametric models are available. The package can be used to estimate survival curves under sustained treatment strategies (interventions) using longitudinal data with time-varying treatments, time-varying confounders, censoring, and competing events. The interventions can be static or dynamic, and deterministic or stochastic (including threshold interventions). Both prespecified and user-defined interventions are available.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, nnet, doParallel, parallel, foreach, stringr, magrittr, dplyr, rlang, reshape2, speedglm, methods, Hmisc, splines
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-12-01 17:39:16 UTC; carriecheng
Author: Zhaoxi Cheng [aut, cre], Jing Li [aut], Sophia Rein [aut], Ryan O'Dea [aut], Sean McGrath [aut], Lan Wen [aut], Miguel A. Hernan [aut], 2024 The President and Fellows of Harvard College [cph]
Maintainer: Zhaoxi Cheng <zcheng@hsph.harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-02 12:50:08 UTC

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New package crimedatasets with initial version 0.1.0
Package: crimedatasets
Title: A Comprehensive Collection of Crime-Related Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: A comprehensive collection of datasets exclusively focused on crimes, criminal activities, and related topics. This package serves as a valuable resource for researchers, analysts, and students interested in crime analysis, criminology, social and economic studies related to criminal behavior. Datasets span global and local contexts, with a mix of tabular and spatial data.
License: GPL-3
URL: https://github.com/lightbluetitan/crimedatasets
BugReports: https://github.com/lightbluetitan/crimedatasets/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, knitr, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-29 19:56:52 UTC; renzocrossi
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-12-02 12:50:37 UTC

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New package orthGS with initial version 0.1.6
Package: orthGS
Title: Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants
Version: 0.1.6
Description: Tools to analyze and infer orthology and paralogy relationships between glutamine synthetase proteins in seed plants.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0)
LazyData: true
Imports: ape, bio3d, castor, igraph, phangorn, phytools, seqinr, TreeTools
Suggests: BiocManager, Biostrings, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-30 10:08:12 UTC; jcaledo
Author: Elena Aledo [aut, cre, cph], Juan-Carlos Aledo [aut]
Maintainer: Elena Aledo <elenaaledoesteban@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-02 10:00:07 UTC

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New package antaresViz with initial version 0.18.3
Package: antaresViz
Title: Antares Visualizations
Version: 0.18.3
Description: Visualize results generated by Antares, a powerful open source software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions that create interactive charts to help 'Antares' users visually explore the results of their simulations.
URL: https://github.com/rte-antares-rpackage/antaresViz
BugReports: https://github.com/rte-antares-rpackage/antaresViz/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: antaresRead (>= 2.2.9), antaresProcessing (>= 0.13.0), spMaps (>= 0.5.0)
Imports: dygraphs (>= 1.1.1.6), shiny (>= 0.13.0), plotly (>= 4.5.6), htmltools, htmlwidgets (>= 0.7.0), manipulateWidget (>= 0.10.0), leaflet (>= 1.1.0), sp (>= 2.0-0), sf, webshot, data.table, methods, lubridate, geojsonio, graphics, stats, leaflet.minicharts (>= 0.5.3), assertthat, rAmCharts, utils, lifecycle
Suggests: testthat, covr, ggplot2, knitr, visNetwork, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-29 14:01:10 UTC; berthetcle
Author: Tatiana Vargas [aut, cre], Jalal-Edine Zawam [ctb], Francois Guillem [ctb], Benoit Thieurmel [ctb], Titouan Robert [ctb], Paul Plessiez [ctb], Baptiste Seguinot [ctb], RTE [cph]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>
Repository: CRAN
Date/Publication: 2024-12-02 10:00:19 UTC

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Fri, 29 Nov 2024

New package vaccineff with initial version 1.0.0
Package: vaccineff
Title: Estimate Vaccine Effectiveness Based on Different Study Designs
Version: 1.0.0
Description: Provides tools for estimating vaccine effectiveness and related metrics. The 'vaccineff_data' class manages key features for preparing, visualizing, and organizing cohort data, as well as estimating vaccine effectiveness. The results and model performance are assessed using the 'vaccineff' class.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/vaccineff, https://epiverse-trace.github.io/vaccineff/
BugReports: https://github.com/epiverse-trace/vaccineff/issues
Depends: R (>= 4.0.0)
Imports: checkmate, ggplot2, linelist, MatchIt, rlang, scales, stats, survival
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-28 15:34:19 UTC; dsquevedovega
Author: David Santiago Quevedo [aut] , Zulma M. Cucunuba [aut, cre] , International Development Research Center [fnd], Geraldine Gomez Millan [ctb] , Pratik Gupte [ctb] , Erika J Cantor [ctb] , Santiago Loaiza [ctb] , Jaime Pavlich-Mariscal [ctb] , Hugo Gru [...truncated...]
Maintainer: Zulma M. Cucunuba <tracelacdev@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-29 09:30:02 UTC

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New package STATcubeR with initial version 1.0.0
Package: STATcubeR
Title: R Interface for the 'STATcube' REST API and Open Government Data
Version: 1.0.0
Date: 2024-11-29
Description: Import data from the 'STATcube' REST API or from the open data portal of Statistics Austria. This package includes a client for API requests as well as parsing utilities for data which originates from 'STATcube'. Documentation about 'STATcubeR' is provided by several vignettes included in the package as well as on the public 'pkgdown' page at <https://statistikat.github.io/STATcubeR/>.
License: GPL (>= 2)
URL: https://statistikat.github.io/STATcubeR/, https://github.com/statistikat/STATcubeR
BugReports: https://github.com/statistikat/STATcubeR/issues
Depends: R (>= 3.5.0)
Imports: cli (>= 3.4.1), httr, jsonlite, pillar (>= 1.5.0), vctrs (>= 0.5.2)
Suggests: magrittr, spelling, data.tree, rappdirs, xml2, reactable, markdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-29 05:30:06 UTC; meindl
Author: Bernhard Meindl [ctb, cre], Alexander Kowarik [ctb] , Gregor de Cillia [aut]
Maintainer: Bernhard Meindl <Bernhard.Meindl@statistik.gv.at>
Repository: CRAN
Date/Publication: 2024-11-29 09:50:02 UTC

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New package PolisheR with initial version 1.0.0
Package: PolisheR
Title: Interfacing 'NaileR' with 'Shiny'
Version: 1.0.0
Description: A very small package for more convenient use of 'NaileR'. You provide a data set containing a latent variable you want to understand. It generates a description and an interpretation of this latent variable using a Large Language Model. For perceptual data, it describes the stimuli used in the experiment.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, NaileR, shiny
Depends: R (>= 3.5.0)
Suggests: SensoMineR
NeedsCompilation: no
Packaged: 2024-11-28 13:10:28 UTC; sebastienle
Author: Sebastien Le [aut, cre]
Maintainer: Sebastien Le <sebastien.le@institut-agro.fr>
Repository: CRAN
Date/Publication: 2024-11-29 09:20:06 UTC

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New package PivotalP with initial version 0.1.2
Package: PivotalP
Title: Prediction for Future Data from Mixture Distributions Gamma, Beta, Weibull and Normal
Version: 0.1.2
Author: O. M. Khaled [aut], K. S. Khalil [aut, cre], M. H. Harby [aut]
Maintainer: K. S. Khalil <kekox38@gmail.com>
Description: Functions to get prediction intervals and prediction points of future observations from mixture distributions like gamma, beta, Weibull and normal.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, zipfR
NeedsCompilation: no
Packaged: 2024-11-28 12:49:09 UTC; Karim
Repository: CRAN
Date/Publication: 2024-11-29 09:20:10 UTC

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New package PaRe with initial version 0.1.14
Package: PaRe
Title: A Way to Perform Code Review or QA on Other Packages
Version: 0.1.14
Language: en-US
Description: Reviews other packages during code review by looking at their dependencies, code style, code complexity, and how internally defined functions interact with one another.
URL: https://github.com/darwin-eu-dev/PaRe
BugReports: https://github.com/darwin-eu-dev/PaRe/issues
License: Apache License (>= 2)
Encoding: UTF-8
Imports: cli (>= 3.6.0), cyclocomp (>= 1.1.0), desc (>= 1.4.2), DiagrammeR (>= 1.0.9), DiagrammeRsvg (>= 0.1), dplyr (>= 1.1.0), glue (>= 1.6.2), lintr (>= 3.0.2), magrittr (>= 2.0.3), pak (>= 0.2.0), rmarkdown (>= 2.20), rsvg (>= 2.4.0), stringr (>= 1.5.0), igraph (>= 1.3.5), utils, R6 (>= 2.5.1), git2r (>= 0.31.0), checkmate (>= 2.1.0), parallel
Suggests: ggplot2, plotly, ggraph, DT, magick, withr, cowplot, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-28 15:02:16 UTC; mvankessel
Author: Maarten van Kessel [aut, cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Repository: CRAN
Date/Publication: 2024-11-29 09:30:10 UTC

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New package nzilbb.vowels with initial version 0.3.1
Package: nzilbb.vowels
Title: Vowel Covariation Tools
Version: 0.3.1
Description: Tools to support research on vowel covariation. Methods are provided to support Principal Component Analysis workflows (as in Brand et al. (2021) <doi:10.1016/j.wocn.2021.101096> and Wilson Black et al. (2023) <doi:10.1515/lingvan-2022-0086>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), patchwork
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Imports: dplyr, ggplot2, magrittr, rlang, rstudioapi, tibble, tidyr, forcats, glue, purrr, tidyselect, rsample, stringr, ggrepel, gghalves, smacof, Rdpack, lifecycle
URL: https://nzilbb.github.io/nzilbb_vowels/, https://github.com/nzilbb/nzilbb_vowels
BugReports: https://github.com/nzilbb/nzilbb_vowels/issues/
NeedsCompilation: no
Packaged: 2024-11-28 21:13:09 UTC; jbl91
Author: Joshua Wilson Black [aut, cre, cph] , James Brand [aut]
Maintainer: Joshua Wilson Black <joshua@wilsonblack.nz>
Repository: CRAN
Date/Publication: 2024-11-29 09:40:03 UTC

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New package greta.censored with initial version 0.1.0
Package: greta.censored
Title: Censored Distributions for 'greta'
Version: 0.1.0
Description: Provides additional censored distributions for use with 'greta', a probabilistic programming framework for Bayesian modeling. Includes censored versions of Normal, Log-Normal, Student's T, Gamma, Exponential, Weibull, Pareto, and Beta distributions with support for right, left, and interval censoring. For details on 'greta', see Golding (2019) <doi:10.21105/joss.01601>. The methods are implemented using 'TensorFlow' and 'TensorFlow Probability' for efficient computation.
License: Apache License 2.0
URL: https://github.com/mtwesley/greta.censored
BugReports: https://github.com/mtwesley/greta.censored/issues
Depends: greta (>= 0.4.2), R (>= 3.1.0)
Imports: glue, reticulate, tensorflow (>= 2.7.0)
Suggests: devtools, VGAM, knitr, rmarkdown, testthat (>= 3.1.0), roxygen2, styler, pkgdown
Encoding: UTF-8
Language: en-GB
SystemRequirements: Python (>= 3.7.0) with header files and shared library; TensorFlow (>= v2.0.0; https://www.tensorflow.org/); TensorFlow Probability (v0.8.0; https://www.tensorflow.org/probability/)
NeedsCompilation: no
Packaged: 2024-11-28 15:02:55 UTC; mtwesley
Author: Mlen-Too Wesley [aut, cre]
Maintainer: Mlen-Too Wesley <mlen.too.wesley@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-29 09:30:06 UTC

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New package banditsCI with initial version 1.0.0
Package: banditsCI
Title: Bandit-Based Experiments and Policy Evaluation
Version: 1.0.0
Description: Frequentist inference on adaptively generated data. The methods implemented are based on Zhan et al. (2021) <doi:10.48550/arXiv.2106.02029> and Hadad et al. (2021) <doi:10.48550/arXiv.1911.02768>. For illustration, several functions for simulating non-contextual and contextual adaptive experiments using Thompson sampling are also supplied.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/UChicago-pol-methods/banditsCI, https://uchicago-pol-methods.github.io/banditsCI/
BugReports: https://github.com/UChicago-pol-methods/banditsCI/issues
Suggests: knitr (>= 1.43), rmarkdown (>= 2.23), testthat (>= 3.0.0)
Imports: glmnet (>= 4.1-6), MASS (>= 7.3-56), mvtnorm (>= 1.2-2), Rdpack (>= 2.6)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-11-26 14:18:18 UTC; moffer
Author: Molly Offer-Westort [aut, cre, cph] , Yinghui Zhou [aut] , Ruohan Zhan [aut]
Maintainer: Molly Offer-Westort <mollyow@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-29 09:20:02 UTC

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Thu, 28 Nov 2024

New package rsofun with initial version 5.0.0
Package: rsofun
Title: The P-Model and BiomeE Modelling Framework
Version: 5.0.0
Description: Implements the Simulating Optimal FUNctioning framework for site-scale simulations of ecosystem processes, including model calibration. It contains 'Fortran 90' modules for the P-model (Stocker et al. (2020) <doi:10.5194/gmd-13-1545-2020>), SPLASH (Davis et al. (2017) <doi:10.5194/gmd-10-689-2017>) and BiomeE (Weng et al. (2015) <doi:10.5194/bg-12-2655-2015>).
URL: https://github.com/geco-bern/rsofun
BugReports: https://github.com/geco-bern/rsofun/issues
License: GPL-3
Depends: R (>= 4.1.0)
Imports: dplyr, purrr, tidyr, magrittr, GenSA, BayesianTools, multidplyr, stats, utils
LazyData: true
LazyDataCompression: xz
ByteCompile: true
NeedsCompilation: yes
Suggests: covr, rcmdcheck, testthat, rmarkdown, ggplot2, knitr, sensitivity
VignetteBuilder: knitr
Encoding: UTF-8
Packaged: 2024-11-28 13:06:16 UTC; mmarcadella
Author: Benjamin Stocker [aut, cre] , Koen Hufkens [aut] , Josefa Aran Paredes [aut] , Laura Marques [ctb] , Mayeul Marcadella [ctb] , Ensheng Weng [ctb] , Fabian Bernhard [aut] , Geocomputation and Earth Observation, University of Bern [cph, fnd]
Maintainer: Benjamin Stocker <benjamin.stocker@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-28 23:10:02 UTC

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New package TAD with initial version 1.0.0
Package: TAD
Title: Realize the Trait Abundance Distribution
Version: 1.0.0
Description: This analytical framework is based on an analysis of the shape of the trait abundance distributions to better understand community assembly processes, and predict community dynamics under environmental changes. This framework mobilized a study of the relationship between the moments describing the shape of the distributions: the skewness and the kurtosis (SKR). The SKR allows the identification of commonalities in the shape of trait distributions across contrasting communities. Derived from the SKR, we developed mathematical parameters that summarise the complex pattern of distributions by assessing (i) the R², (ii) the Y-intercept, (iii) the slope, (iv) the functional stability of community (TADstab), and, (v) the distance from specific distribution families (i.e., the distance from the skew-uniform family a limit to the highest degree of evenness: TADeve).
License: BSD_3_clause + file LICENSE
URL: https://forgemia.inra.fr/urep/data_processing/tad
BugReports: https://forgemia.inra.fr/urep/data_processing/tad/-/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: doFuture, foreach, mblm (>= 0.12), methods, stats
Suggests: Cairo, covr, dplyr, devtools, future (>= 1.33), ggplot2 (>= 3.5), ggpubr (>= 0.6), knitr, Matrix (>= 1.6), pkgdown, rlang, rmarkdown, roxygen2, testthat (>= 3.0), tinytex
Language: en-US
VignetteBuilder: knitr
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
Packaged: 2024-11-28 09:59:57 UTC; lain
Author: Nathan Rondeau [aut], Yoann Le Bagousse-Pinguet [aut] , Raphael Martin [aut] , Lain Pavot [aut, cre], Pierre Liancourt [aut] , Nicolas Gross [aut] , INRAe/UREP [cph]
Maintainer: Lain Pavot <lain.pavot@inrae.fr>
Repository: CRAN
Date/Publication: 2024-11-28 12:20:02 UTC

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New package qVarSel with initial version 1.1
Package: qVarSel
Title: Select Variables for Optimal Clustering
Version: 1.1
Date: 2024-11-24
Description: Finding hidden clusters in structured data can be hindered by the presence of masking variables. If not detected, masking variables are used to calculate the overall similarities between units, and therefore the cluster attribution is more imprecise. The algorithm q-vars implements an optimization method to find the variables that most separate units between clusters. In this way, masking variables can be discarded from the data frame and the clustering is more accurate. Tests can be found in Benati et al.(2017) <doi:10.1080/01605682.2017.1398206>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.13), lpSolveAPI
Suggests: mclust
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-11-28 08:01:14 UTC; stefanobenati
Author: Stefano Benati [aut, cre]
Maintainer: Stefano Benati <stefano.benati@unitn.it>
Repository: CRAN
Date/Publication: 2024-11-28 12:10:02 UTC

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New package samplezoo with initial version 1.1.0
Package: samplezoo
Title: Generate Samples with a Variety of Probability Distributions
Version: 1.1.0
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>
Description: The 'samplezoo' package streamlines the process of generating samples from various probability distributions, enabling users to quickly create data frames for demonstrations, troubleshooting, or teaching. By prioritizing simplicity and efficiency,'samplezoo' reduces the need for repetitive code, making it particularly useful for beginners or anyone seeking to save time. The package implements standard methods for generating random samples from probability distributions commonly available in base R, with no specific external references. For more details, visit the package documentation.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/nvietto/samplezoo, https://nvietto.github.io/samplezoo/
BugReports: https://github.com/nvietto/samplezoo/issues
NeedsCompilation: no
Packaged: 2024-11-27 16:30:58 UTC; nicholasvietto
Author: Nicholas Vietto [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-28 11:40:03 UTC

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New package saeHB.twofold with initial version 0.1.2
Package: saeHB.twofold
Title: Hierarchical Bayes Twofold Subarea Level Model SAE
Version: 0.1.2
Maintainer: Reyhan Saadi <reyhansaadi335@gmail.com>
Description: We designed this package to provides several functions for area and subarea level of small area estimation under Twofold Subarea Level Model using hierarchical Bayesian (HB) method with Univariate Normal distribution for variables of interest. Some dataset simulated by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates using Gibbs Sampling algorithm. Model-based estimators involves the HB estimators which include the mean, the variation of mean, and the quantile. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: rjags, coda, stringr, stats, grDevices, graphics, data.table, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
VignetteBuilder: knitr
URL: https://github.com/reymath99/saeHB.twofold
BugReports: https://github.com/reymath99/saeHB.twofold/issues
NeedsCompilation: no
Packaged: 2024-11-27 10:39:18 UTC; USER10
Author: Reyhan Saadi [aut, cre], Azka Ubaidillah [aut]
Repository: CRAN
Date/Publication: 2024-11-28 11:20:03 UTC

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New package LLIC with initial version 3.0.0
Package: LLIC
Title: Likelihood Criterion (LIC) Analysis for Laplace Regression Model
Version: 3.0.0
Date: 2024-11-23
Description: Performs likelihood criterion analysis using the Laplace regression model to determine its optimal subset of variables. The methodology is based on Guo et al. (2023), LIC criterion for optimal subset selection in distributed interval estimation <doi:10.1080/02331888.2020.1823979>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, VGAM, dplyr, LaplacesDemon, relliptical, ggplot2, rlang
NeedsCompilation: no
Packaged: 2024-11-23 10:48:14 UTC; Lenovo
Author: Guangbao Guo [aut, cre], Yaxuan Wang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-28 12:00:02 UTC

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New package interpret with initial version 0.1.34
Package: interpret
Title: Fit Interpretable Machine Learning Models
Version: 0.1.34
Date: 2024-11-28
Description: Package for training interpretable machine learning models. Historically, the most interpretable machine learning models were not very accurate, and the most accurate models were not very interpretable. Microsoft Research has developed an algorithm called the Explainable Boosting Machine (EBM) which has both high accuracy and interpretable characteristics. EBM uses machine learning techniques like bagging and boosting to breathe new life into traditional GAMs (Generalized Additive Models). This makes them as accurate as random forests and gradient boosted trees, and also enhances their intelligibility and editability. Details on the EBM algorithm can be found in the paper by Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad (2015, <doi:10.1145/2783258.2788613>).
URL: https://github.com/interpretml/interpret
BugReports: https://github.com/interpretml/interpret/issues
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2024-11-28 10:45:55 UTC; runner
Author: Samuel Jenkins [aut], Harsha Nori [aut], Paul Koch [aut], Rich Caruana [aut, cre], The InterpretML Contributors [cph]
Maintainer: Rich Caruana <interpretml@outlook.com>
Repository: CRAN
Date/Publication: 2024-11-28 11:40:08 UTC

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New package HTSeedGLM with initial version 0.1.0
Package: HTSeedGLM
Title: Hydro Thermal Time Analysis of Seed Germination Using Generalised Linear Model
Description: Seed germinates through the physical process of water uptake by dry seed driven by the difference in water potential between the seed and the water. There exists seed-to-seed variability in the base seed water potential. Hence, there is a need for a distribution such that a viable seed with its base seed water potential germinates if and only if the soil water potential is more than the base seed water potential. This package estimates the stress tolerance and uniformity parameters of the seed lot for germination under various temperatures by using the hydro-time model of counts of germinated seeds under various water potentials. The distribution of base seed water potential has been considered to follow Normal, Logistic and Extreme value distribution. The estimated proportion of germinated seeds along with the estimates of stress and uniformity parameters are obtained using a generalised linear model. The significance test of the above parameters for within and between temperatures is [...truncated...]
Author: Dr. Himadri Ghosh [aut, cre], Mr. Saikath Das [aut], Dr. Debopam Rakshit [aut]
Maintainer: Dr. Himadri Ghosh <hghosh@gmail.com>
Imports: stats
Version: 0.1.0
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Packaged: 2024-11-27 14:50:58 UTC; Debopam
Repository: CRAN
Date/Publication: 2024-11-28 11:30:21 UTC

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New package epiparameterDB with initial version 0.1.0
Package: epiparameterDB
Title: Database of Epidemiological Parameters
Version: 0.1.0
Description: A data package containing a database of epidemiological parameters. It stores the data for the 'epiparameter' R package. Epidemiological parameter estimates are extracted from the literature.
License: CC0
URL: https://github.com/epiverse-trace/epiparameterDB/
BugReports: https://github.com/epiverse-trace/epiparameterDB/issues
Depends: R (>= 4.0.0)
Suggests: DT, jsonlite, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-27 15:57:54 UTC; lshjl15
Author: Joshua W. Lambert [cre, aut, cph] , Adam Kucharski [aut] , Carmen Tamayo [aut]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2024-11-28 11:40:11 UTC

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New package bayeslist with initial version 0.0.1.4
Package: bayeslist
Title: Bayesian Analysis of List Experiments with Prior Information
Version: 0.0.1.4
Author: Xiao Lu [aut, cre], Richard Traunmueller [aut]
Maintainer: Xiao Lu <xiao.lu.research@gmail.com>
Description: Estimates Bayesian models of list experiments with informative priors. It includes functionalities to estimate different types of list experiment models with varying prior information. See Lu and Traunmüller (2021) <doi:10.2139/ssrn.3871089> for examples and details of estimation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Formula, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 2.1.1), ggplot2 (>= 3.3.3)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-11-27 15:23:45 UTC; xiao
Repository: CRAN
Date/Publication: 2024-11-28 11:30:05 UTC

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Wed, 27 Nov 2024

New package OmopViewer with initial version 0.2.0
Package: OmopViewer
Title: Visualise OMOP Results using 'shiny' Applications
Version: 0.2.0
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>
Description: Visualise results obtained from analysing data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model using 'shiny' applications.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://ohdsi.github.io/OmopViewer/
Depends: R (>= 2.10)
Imports: bslib, cli, dplyr, DT, glue, gt, lifecycle, markdown, omopgenerics (>= 0.4.0), purrr, rlang, shiny, snakecase, stringr, styler, tidyr, usethis, visOmopResults (>= 0.5.0), yaml
Suggests: CDMConnector, CodelistGenerator (>= 3.2.0), CohortCharacteristics (>= 0.3.0), CohortConstructor, DiagrammeR, DrugUtilisation (>= 0.7.1), duckdb, ggplot2, here, htmlwidgets, IncidencePrevalence (>= 0.8.0), knitr, omock (>= 0.3.0), OmopSketch, PatientProfiles, plotly, rmarkdown, RPostgres, shinycssloaders, shinyWidgets, sortable, testthat (>= 3.1.5), utils, webshot2, zip
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-27 20:12:14 UTC; martics
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Edward Burn [ctb] , Nuria Mercade-Besora [ctb] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Repository: CRAN
Date/Publication: 2024-11-27 23:20:09 UTC

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New package antaresProcessing with initial version 0.18.3
Package: antaresProcessing
Title: 'Antares' Results Processing
Version: 0.18.3
Description: Process results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
URL: https://github.com/rte-antares-rpackage/antaresProcessing
BugReports: https://github.com/rte-antares-rpackage/antaresProcessing/issues
License: GPL (>= 3)
Depends: antaresRead (>= 1.1.5)
Imports: data.table, methods, stats
Suggests: parallel, testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-27 09:11:16 UTC; berthetcle
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [ctb], Francois Guillem [ctb], Benoit Thieurmel [ctb], Titouan Robert [ctb], RTE [cph]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>
Repository: CRAN
Date/Publication: 2024-11-27 13:20:11 UTC

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New package VICatMix with initial version 1.0
Package: VICatMix
Title: Variational Mixture Models for Clustering Categorical Data
Version: 1.0
Date: 2024-11-25
Maintainer: Jackie Rao <jackie.rao@mrc-bsu.cam.ac.uk>
Description: A variational Bayesian finite mixture model for the clustering of categorical data, and can implement variable selection and semi-supervised outcome guiding if desired. Incorporates an option to perform model averaging over multiple initialisations to reduce the effects of local optima and improve the automatic estimation of the true number of clusters. For further details, see the paper by Rao and Kirk (2024) <doi:10.48550/arXiv.2406.16227>.
License: GPL (>= 3)
URL: https://github.com/j-ackierao/VICatMix
BugReports: https://github.com/j-ackierao/VICatMix/issues
Imports: klaR, matrixStats, mcclust, Rcpp, stats, gtools
Suggests: doParallel, doRNG, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-11-26 15:24:01 UTC; jackie
Author: Jackie Rao [aut, cre], Paul D.W Kirk [ths], Sara Wade [ctb], Colin Starr [ctb], John Maddock [cph] .)
Repository: CRAN
Date/Publication: 2024-11-27 12:40:06 UTC

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New package strata with initial version 1.0.1
Package: strata
Title: Simple Framework for Simple Automation
Version: 1.0.1
Description: A tool suite for building project frameworks for users with access to only the most basic of automation tools.
License: MIT + file LICENSE
URL: https://github.com/asenetcky/strata, https://asenetcky.github.io/strata/
BugReports: https://github.com/asenetcky/strata/issues
Imports: checkmate (>= 2.3.2), dplyr (>= 1.1.0), fs (>= 1.6.4), glue (>= 1.8.0), lifecycle (>= 1.0.0), purrr (>= 1.0.2), readr (>= 2.0.0), rlang (>= 1.1.4), stringr (>= 1.5.1), tibble (>= 3.2.1)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-22 19:02:52 UTC; alex
Author: Alexander Senetcky [aut, cre, cph]
Maintainer: Alexander Senetcky <asenetcky@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-27 13:00:02 UTC

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New package fastVoteR with initial version 0.0.1
Package: fastVoteR
Title: Efficient Voting Methods for Committee Selection
Version: 0.0.1
Description: A fast 'Rcpp'-based implementation of polynomially-computable voting theory methods for committee ranking and scoring. The package includes methods such as Approval Voting (AV), Satisfaction Approval Voting (SAV), sequential Proportional Approval Voting (PAV), and sequential Phragmen's Rule. Weighted variants of these methods are also provided, allowing for differential voter influence.
License: LGPL (>= 3)
URL: https://bblodfon.github.io/fastVoteR/
Imports: checkmate, data.table, Rcpp
Suggests: mlr3misc (>= 0.15.1), testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-26 15:25:04 UTC; john
Author: John Zobolas [cre, aut] , Anne-Marie George [ctb]
Maintainer: John Zobolas <bblodfon@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-27 12:40:02 UTC

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New package evolved with initial version 1.0.0
Package: evolved
Title: Open Software for Teaching Evolutionary Biology at Multiple Scales Through Virtual Inquiries
Version: 1.0.0
Description: "Evolutionary Virtual Education" - 'evolved' - provides multiple tools to help educators (especially at the graduate level or in advanced undergraduate level courses) apply inquiry-based learning in general evolution classes. In particular, the tools provided include functions that simulate evolutionary processes (e.g., genetic drift, natural selection within a single locus) or concepts (e.g. Hardy-Weinberg equilibrium, phylogenetic distribution of traits). More than only simulating, the package also provides tools for students to analyze (e.g., measuring, testing, visualizing) datasets with characteristics that are common to many fields related to evolutionary biology. Importantly, the package is heavily oriented towards providing tools for inquiry-based learning - where students follow scientific practices to actively construct knowledge. For additional details, see package's vignettes.
License: GPL (>= 3)
Encoding: UTF-8
Imports: ape, diversitree, phytools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), LSD, paleobioDB, BAMMtools, plot3D
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: <https://github.com/Auler-J/evolved>
BugReports: https://github.com/Auler-J/evolved/issues
NeedsCompilation: no
Packaged: 2024-11-26 15:47:16 UTC; matheus
Author: Matheus Januario [aut, cph, cre] , Jennifer Auler [aut] , Andressa Viol [aut], Daniel Rabosky [aut]
Maintainer: Matheus Januario <januarioml.eco@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-27 12:50:02 UTC

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New package DiscreteFWER with initial version 1.0.0
Package: DiscreteFWER
Title: FWER-Based Multiple Testing Procedures with Adaptation for Discrete Tests
Version: 1.0.0
Date: 2024-11-26
Description: Implementations of several multiple testing procedures that control the family-wise error rate (FWER) designed specifically for discrete tests. Included are discrete adaptations of the Bonferroni, Holm, Hochberg and Šidák procedures as described in the papers Döhler (2010) "Validation of credit default probabilities using multiple-testing procedures" <doi:10.21314/JRMV.2010.062> and Zhu & Guo (2019) "Family-Wise Error Rate Controlling Procedures for Discrete Data" <doi:10.1080/19466315.2019.1654912>. The main procedures of this package take as input the results of a test procedure from package 'DiscreteTests' or a set of observed p-values and their discrete support under their nulls. A shortcut function to apply discrete procedures directly to data is also provided.
License: GPL (>= 2)
Language: en-GB
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: Rcpp (>= 1.0.13), checkmate, DiscreteFDR (>= 2.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: DiscreteDatasets, DiscreteTests (>= 0.2.1)
URL: https://github.com/DISOhda/DiscreteFWER
BugReports: https://github.com/DISOhda/DiscreteFWER/issues
NeedsCompilation: yes
Packaged: 2024-11-26 19:49:39 UTC; fjunge
Author: Sebastian Doehler [aut, ctb] , Florian Junge [aut, ctb, cre]
Maintainer: Florian Junge <diso.fbmn@h-da.de>
Repository: CRAN
Date/Publication: 2024-11-27 13:00:05 UTC

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New package autoslider.core with initial version 0.1.0
Package: autoslider.core
Title: Slide Automation for Tables, Listings and Figures
Version: 0.1.0
Description: The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.
License: Apache License 2.0
URL: https://github.com/insightsengineering/autoslider.core
BugReports: https://github.com/insightsengineering/autoslider.core/issues
Depends: flextable (>= 0.9.4), officer (>= 0.3.18), R (>= 2.10)
Imports: assertthat, checkmate, cli, dplyr, filters (>= 0.3.1), forcats, formatters (>= 0.5.9), ggplot2, ggpubr, glue, googlesheets4, grid, gridExtra, lubridate, magrittr, methods, purrr, readxl, rlang, rlistings (>= 0.2.9), rtables (>= 0.6.10), rvg (>= 0.2.5), stringr, survival, tern (>= 0.9.6), tidyr, yaml
Suggests: devtools, googledrive, htmltools, httr, knitr, mime, nestcolor, rmarkdown (>= 2.23), rsvg, styler (>= 1.10.2), svglite (>= 2.1.2), testthat (>= 3.2.0), withr
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-11-26 17:01:59 UTC; rstudio
Author: Joe Zhu [cre, aut], Heng Wang [aut], Yinqi Zhao [aut], Bo Ci [aut], Liming Li [aut], Laura Wang [ctb], Xiaoli Duan [aut], Stefan Pascal Thoma [aut], Thomas Neitmann [ctb], Miles Almond [aut], Mahdi About [ctb], Kai Lim [ctb], Nolan Steed [ctb], Daoli [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>
Repository: CRAN
Date/Publication: 2024-11-27 12:50:06 UTC

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Tue, 26 Nov 2024

New package MultiTraits with initial version 0.1.0
Package: MultiTraits
Title: Analyzing and Visualizing Multidimensional Plant Traits
Version: 0.1.0
Date: 2024-11-25
Maintainer: Yan He <heyan@njfu.edu.cn>
Description: Implements analytical methods for multidimensional plant traits, including Competitors-Stress tolerators-Ruderals strategy analysis using leaf traits, Leaf-Height-Seed strategy analysis, Niche Periodicity Table analysis, and Trait Network analysis. Provides functions for data analysis, visualization, and network metrics calculation. Methods are based on Grime (1974) <doi:10.1038/250026a0>, Pierce et al. (2017) <doi:10.1111/1365-2435.12882>, Westoby (1998) <doi:10.1023/A:1004327224729>, Yang et al. (2022) <doi:10.1016/j.foreco.2022.120540>, Winemiller et al. (2015) <doi:10.1111/ele.12462>, He et al. (2020) <doi:10.1016/j.tree.2020.06.003>.
Imports: ggtern,igraph,Hmisc,corrplot,scatterplot3d,vegan,ggrepel
Depends: R (>= 4.0.0), ggplot2
Suggests: knitr,rmarkdown,testthat (>= 3.0.0),devtools
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-26 13:53:13 UTC; Administrator
Author: Yan He [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-26 14:40:02 UTC

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New package DIRMR with initial version 0.5.0
Package: DIRMR
Version: 0.5.0
Date: 2024-11-22
Title: Distributed Imputation for Random Effects Models with Missing Responses
Description: By adding over-relaxation factor to PXEM (Parameter Expanded Expectation Maximization) method, the MOPXEM (Monotonically Overrelaxed Parameter Expanded Expectation Maximization) method is obtained. Compare it with the existing EM (Expectation-Maximization)-like methods. Then, distribute and process five methods and compare them, achieving good performance in convergence speed and result quality.The philosophy of the package is described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.
License: GPL-2
Imports: MASS,lava,mvtnorm
Encoding: UTF-8
NeedsCompilation: no
Author: Guangbao Guo [aut, cre] , Yaping Li [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Packaged: 2024-11-25 12:13:49 UTC; A
Depends: R (>= 3.5.0)
Date/Publication: 2024-11-26 14:10:02 UTC

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New package tern.rbmi with initial version 0.1.4
Package: tern.rbmi
Title: Create Interface for 'RBMI' and 'tern'
Version: 0.1.4
Date: 2024-11-18
Description: 'RBMI' implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). This package provides an interface for 'RBMI' uses the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023).
License: Apache License 2.0
URL: https://github.com/insightsengineering/tern.rbmi, https://insightsengineering.github.io/tern.rbmi/
BugReports: https://github.com/insightsengineering/tern.rbmi/issues
Depends: R (>= 3.6), rbmi (>= 1.2.5), tern (>= 0.9.4)
Imports: broom (>= 0.5.4), checkmate (>= 2.1.0), formatters (>= 0.5.6), lifecycle (>= 0.2.0), magrittr (>= 1.5), rtables (>= 0.6.7)
Suggests: BH, dplyr (>= 1.0.3), knitr (>= 1.42), Matrix, RcppEigen, rmarkdown (>= 2.23), rstan, testthat (>= 3.0.4), tidyr (>= 0.8.3)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-25 15:37:40 UTC; rstudio
Author: Joe Zhu [aut, cre], Jana Stoilova [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>
Repository: CRAN
Date/Publication: 2024-11-26 12:50:02 UTC

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New package SUSENAS with initial version 0.1.0
Package: SUSENAS
Title: National Socio-Economic Survey Data Collection Indonesia
Version: 0.1.0
Author: Fadhlul Mubarak [aut, cre], Nurniswah [aut], Vinny Yuliani Sundara [aut], Yusma Damayanti [aut], Ahmad Syukron Prasaja [aut]
Maintainer: Fadhlul Mubarak <mubarakfadhlul@gmail.com>
Description: Survey to collect data about the social and economic conditions of Indonesian society. This activity aims to include: As a data source for planning and evaluating national, sectoral development programs, and providing indicators for Sustainable Development Goals (TPB), National Medium Term Development Plan (RPJMN), and Nawacita, GDP/GRDP and annual Integrated Institutional Balance Sheet.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: readxl
NeedsCompilation: no
Packaged: 2024-11-25 05:07:01 UTC; HP
Repository: CRAN
Date/Publication: 2024-11-26 12:40:02 UTC

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New package SMNlmec with initial version 0.1.0
Package: SMNlmec
Title: Scale Mixture of Normal Distribution in Linear Mixed-Effects Model
Version: 0.1.0
Maintainer: Kelin Zhong <kelin.zhong@uconn.edu>
Description: Bayesian analysis of censored linear mixed-effects models that replace Gaussian assumptions with a flexible class of distributions, such as the scale mixture of normal family distributions, considering a damped exponential correlation structure which was employed to account for within-subject autocorrelation among irregularly observed measures. For more details, see Zhong et al. (2025, forthcoming in Statistics in Medicine).
Depends: R (>= 4.2)
Imports: rstan (>= 2.26.23), StanHeaders (>= 2.26.28), MASS (>= 7.3-60), tmvtnorm (>= 1.5), mvtnorm (>= 1.2-3), mnormt (>= 2.1.1), methods, stats, LaplacesDemon (>= 16.1.6), TruncatedNormal (>= 2.2.2), numDeriv (>= 2016.8-1.1)
URL: https://github.com/KelinZhong/SMNlmec
BugReports: https://github.com/KelinZhong/SMNlmec/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-25 14:10:55 UTC; Colin
Author: Kelin Zhong [aut, cre], Fernanda L. Schumacher [aut], Luis M. Castro [aut], Victor H. Lachos [aut], Jalmar M.F. Carrasco [aut]
Repository: CRAN
Date/Publication: 2024-11-26 12:50:06 UTC

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New package RMFM with initial version 1.1.0
Package: RMFM
Title: Robust Matrix Factor Model
Version: 1.1.0
Date: 2024-11-23
Author: Wei Liu [aut, cre]
Maintainer: Wei Liu <liuwei8@scu.edu.cn>
Description: We introduce a robust matrix factor model that explicitly incorporates tail behavior and employs a mean-shift term to avoid efficiency losses through pre-centering of observed matrices. More details on the methods related to our paper are currently under submission. A full reference to the paper will be provided in future versions once the paper is published.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: stats, LaplacesDemon, MixMatrix, COAP, Rcpp (>= 1.0.10)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-25 12:23:13 UTC; 10297
Repository: CRAN
Date/Publication: 2024-11-26 12:50:09 UTC

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New package PurpleAirAPI with initial version 0.1.0
Package: PurpleAirAPI
Title: Historical Data Retrieval from 'PurpleAir' Sensors via API
Version: 0.1.0
Description: Provides tools for retrieving and analyzing air quality data from 'PurpleAir' sensors through their API. Functions enable downloading historical measurements, accessing sensor metadata, and managing API request limitations through chunked data retrieval. For more information about the 'PurpleAir' API, see <https://api.purpleair.com/>.
License: MIT + file LICENSE
URL: https://github.com/heba-razzak/PurpleAirAPI
Imports: httr, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-25 05:10:58 UTC; heba
Author: Heba Abdelrazzak [aut, cre]
Maintainer: Heba Abdelrazzak <hebaarazzak@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-26 12:40:05 UTC

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New package PGaGEV with initial version 0.1.0
Package: PGaGEV
Title: Power Garima-Generalized Extreme Value Distribution
Version: 0.1.0
Language: en-US
Maintainer: Kittipong Klinjan <kittipong_k@rmutt.ac.th>
Description: Density, distribution function, quantile function, and random generation function based on Kittipong Klinjan,Tipat Sottiwan and Sirinapa Aryuyuen (2024)<DOI:10.28919/cmbn/8833>.
License: GPL-3
Encoding: UTF-8
Imports: LambertW,stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-11-25 04:00:26 UTC; ThinkPad X1
Author: Kittipong Klinjan [cre, aut], Tipat Sottiwan [aut], Sirinapa Aryuyuen [aut]
Repository: CRAN
Date/Publication: 2024-11-26 12:40:08 UTC

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Mon, 25 Nov 2024

New package scatterbar with initial version 0.1.0
Package: scatterbar
Title: Scattered Stacked Bar Chart Plots
Version: 0.1.0
Imports: magrittr, dplyr, tidyr, ggplot2
URL: https://github.com/JEFworks-Lab/scatterbar, http://jef.works/scatterbar/
BugReports: https://github.com/JEFworks-Lab/scatterbar/issues
Description: Provides a powerful and flexible tool for visualizing proportional data across spatially resolved contexts. By combining the concepts of scatter plots and stacked bar charts, 'scatterbar' allows users to create scattered bar chart plots, which effectively display the proportions of different categories at each (x, y) location. This visualization is particularly useful for applications where understanding the distribution of categories across spatial coordinates is essential. This package features automatic determination of optimal scaling factors based on data, customizable scaling and padding options for both x and y axes, flexibility to specify custom colors for each category, options to customize the legend title, and integration with 'ggplot2' for robust and high-quality visualizations. For more details, see Velazquez et al. (2024) <doi:10.1101/2024.08.14.606810>.
License: GPL-3
Encoding: UTF-8
LazyData: FALSE
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, patchwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-22 22:47:37 UTC; deev
Author: Dee Velazquez [aut, cre] , Jean Fan [aut, rev]
Maintainer: Dee Velazquez <dvelazq5@jhu.edu>
Repository: CRAN
Date/Publication: 2024-11-25 11:50:02 UTC

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New package MaxWiK with initial version 1.0.5
Package: MaxWiK
Title: Machine Learning Method Based on Isolation Kernel Mean Embedding
Version: 1.0.5
Description: Incorporates Approximate Bayesian Computation to get a posterior distribution and to select a model optimal parameter for an observation point. Additionally, the meta-sampling heuristic algorithm is realized for parameter estimation, which requires no model runs and is dimension-independent. A sampling scheme is also presented that allows model runs and uses the meta-sampling for point generation. A predictor is realized as the meta-sampling for the model output. All the algorithms leverage a machine learning method utilizing the maxima weighted Isolation Kernel approach, or 'MaxWiK'. The method involves transforming raw data to a Hilbert space (mapping) and measuring the similarity between simulated points and the maxima weighted Isolation Kernel mapping corresponding to the observation point. Comprehensive details of the methodology can be found in the papers Iurii Nagornov (2024) <doi:10.1007/978-3-031-66431-1_16> and Iurii Nagornov (2023) <doi:10.1007/978-3-031-29168-5_18& [...truncated...]
License: GPL (>= 3)
Depends: R (>= 3.3.0)
Imports: methods, stats, utils, scales, parallel, abc, ggplot2
Suggests: rmarkdown, knitr
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-22 22:13:56 UTC; nagornov
Author: Yuri Nagornov [aut, cre, cph]
Maintainer: Yuri Nagornov <nagornov.yuri@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-25 11:40:13 UTC

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New package ecostate with initial version 0.2.0
Package: ecostate
Title: State-Space Mass-Balance Model for Marine Ecosystems
Version: 0.2.0
Date: 2024-11-15
Maintainer: James T. Thorson <James.Thorson@noaa.gov>
Description: Fits a state-space mass-balance model for marine ecosystems, which implements dynamics derived from 'Ecopath with Ecosim' <https://ecopath.org/> while fitting to time-series of fishery catch, biomass indices, age-composition samples, and weight-at-age data. Package 'ecostate' fits biological parameters (e.g., equilibrium mass) and measurement parameters (e.g., catchability coefficients) jointly with residual variation in process errors, and can include Bayesian priors for parameters.
License: GPL-3
Depends: R (>= 4.1.0), RTMB (>= 1.5.0),
Imports: TMB, MASS, checkmate, ggplot2, ggnetwork, igraph
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
URL: https://james-thorson-noaa.github.io/ecostate/
BugReports: https://github.com/James-Thorson-NOAA/ecostate/issues
NeedsCompilation: no
Packaged: 2024-11-22 15:10:37 UTC; James.Thorson
Author: James T. Thorson [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-25 11:50:14 UTC

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New package ClinTrialPredict with initial version 0.0.4
Package: ClinTrialPredict
Title: Predicting and Simulating Clinical Trial with Time-to-Event Endpoint
Version: 0.0.4
Description: Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2024-11-22 14:58:20 UTC; YDing29
Author: Yang Ding [aut, cre]
Maintainer: Yang Ding <tomding.biostat@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-25 11:40:18 UTC

More information about ClinTrialPredict at CRAN
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New package Blend with initial version 0.1.0
Package: Blend
Title: Bayesian Longitudinal Regularized Semiparametric Quantile Mixed Models
Version: 0.1.0
Date: 2024-11-21
Description: Our recently developed fully Bayesian semiparametric quantile mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
URL: https://github.com/kunfa/Blend
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, splines, stats, ggplot2
NeedsCompilation: yes
Packaged: 2024-11-22 16:32:46 UTC; kunfan
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>
Repository: CRAN
Date/Publication: 2024-11-25 11:40:22 UTC

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Fri, 22 Nov 2024

New package saeHB.spatial with initial version 0.1.1
Package: saeHB.spatial
Title: Small Area Estimation Hierarchical Bayes For Spatial Model
Version: 0.1.1
Description: Provides several functions and datasets for area level of Small Area Estimation under Spatial Model using Hierarchical Bayesian (HB) Method. Model-based estimators include the HB estimators based on a Spatial Fay-Herriot model with univariate normal distribution for variable of interest.The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/arinams/saeHB.spatial
BugReports: https://github.com/arinams/saeHB.spatial/issues
Imports: stringr, coda, rjags, stats, grDevices, graphics
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-22 08:41:08 UTC; User
Author: Arina Mana Sikana [aut, cre], Azka Ubaidillah [aut]
Maintainer: Arina Mana Sikana <sikanaradrianan@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-22 09:40:02 UTC

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New package GWlasso with initial version 1.0.1
Package: GWlasso
Title: Geographically Weighted Lasso
Version: 1.0.1
Description: Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions. These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, ggside, glmnet, GWmodel, lifecycle, magrittr, methods, progress, rlang, sf, tidyr
NeedsCompilation: no
Packaged: 2024-11-22 07:51:01 UTC; nibor
Author: Matthieu Mulot [aut, cre, cph] , Sophie Erb [aut]
Maintainer: Matthieu Mulot <matthieu.mulot@gmail.com>
Suggests: knitr, maps, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/nibortolum/GWlasso, https://nibortolum.github.io/GWlasso/
BugReports: https://github.com/nibortolum/GWlasso/issues
Repository: CRAN
Date/Publication: 2024-11-22 09:30:07 UTC

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New package exametrika with initial version 1.1.0
Package: exametrika
Title: Test Theory Analysis and Biclustering
Version: 1.1.0
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
BuildVignettes: true
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5.0), mvtnorm, igraph
NeedsCompilation: no
Packaged: 2024-11-22 07:42:59 UTC; napier3
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-22 09:30:02 UTC

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New package anominate with initial version 0.7
Package: anominate
Title: Alpha-NOMINATE Ideal Point Estimator
Version: 0.7
Date: 2024-11-21
Author: Royce Carroll [aut], Christopher Hare [aut, cre], Jeffrey B. Lewis [aut], James Lo [aut], Keith T. Poole [aut], Howard Rosenthal [aut], Carlos Algara [aut], Samuel Fuller [aut]
Maintainer: Christopher Hare <cdhare@ucdavis.edu>
Description: Provides functions to estimate and interpret the alpha-NOMINATE ideal point model developed in Carroll et al. (2013, <doi:10.1111/ajps.12029>). alpha-NOMINATE extends traditional spatial voting frameworks by allowing for a mixture of Gaussian and quadratic utility functions, providing flexibility in modeling political actors' preferences. The package uses Markov Chain Monte Carlo (MCMC) methods for parameter estimation, supporting robust inference about individuals' ideological positions and the shape of their utility functions. It also contains functions to simulate data from the model and to calculate the probability of a vote passing given the ideal points of the legislators/voters and the estimated location of the choice alternatives.
License: GPL-2
Depends: stats, coda, wnominate, pscl, MCMCpack
URL: https://CRAN.R-project.org/package=anominate
NeedsCompilation: yes
Packaged: 2024-11-21 22:20:12 UTC; chare
Repository: CRAN
Date/Publication: 2024-11-22 09:20:02 UTC

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New package topics with initial version 0.20.0
Package: topics
Title: Creating and Significance Testing Language Features for Visualisation
Version: 0.20.0
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
License: GPL-3
URL: https://r-topics.org/
BugReports: https://github.com/theharmonylab/topics/issues
Encoding: UTF-8
Archs: x64
SystemRequirements: Python (>= 3.6.0)
LazyData: true
BuildVignettes: true
Imports: text, textmineR, ggplot2, dplyr, mallet, rJava, ggwordcloud, effsize, purrr, tibble, methods, readr, stopwords, Matrix, ngram, stringr, rlang, tidyr
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
Depends: R (>= 4.00)
NeedsCompilation: no
Packaged: 2024-11-21 18:13:35 UTC; oscarkjell
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>
Repository: CRAN
Date/Publication: 2024-11-22 09:00:02 UTC

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New package super with initial version 0.0.3
Package: super
Title: Interpreted String Literals
Version: 0.0.3
Description: An implementation of interpreted string literals. Based on the 'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but with a focus on efficiency and simplicity at a cost of flexibility.
License: MIT + file LICENSE
URL: https://timtaylor.github.io/super/
BugReports: https://github.com/TimTaylor/super/issues
Depends: R (>= 3.6)
Suggests: glue, litedown, microbenchmark, tinytest
VignetteBuilder: litedown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-21 18:25:33 UTC; tim
Author: Tim Taylor [aut, cre] , Jim Hester [aut] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2024-11-22 09:00:06 UTC

More information about super at CRAN
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