CRANberries

Fri, 04 Oct 2024

New package medrxivr with initial version 0.1.1
Package: medrxivr
Title: Access and Search MedRxiv and BioRxiv Preprint Data
Version: 0.1.1
Description: An increasingly important source of health-related bibliographic content are preprints - preliminary versions of research articles that have yet to undergo peer review. The two preprint repositories most relevant to health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv <https://www.biorxiv.org/>, both of which are operated by the Cold Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing users to easily download medRxiv and bioRxiv preprint metadata (e.g. title, abstract, publication date, author list, etc) into R. 'medrxivr' also provides functions to search the downloaded preprint records using regular expressions and Boolean logic, as well as helper functions that allow users to export their search results to a .BIB file for easy import to a reference manager and to download the full-text PDFs of preprints matching their search criteria.
License: GPL-2
Encoding: UTF-8
Language: en-US
URL: https://github.com/ropensci/medrxivr
BugReports: https://github.com/ropensci/medrxivr/issues
Imports: methods, dplyr, curl, jsonlite, httr, stringr, rlang, bib2df, tibble, progress, lubridate, purrr, data.table
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, covr, kableExtra, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-04 18:55:04 UTC; bach
Author: Yaoxiang Li [aut, cre] , Luke McGuinness [aut], Lena Schmidt [aut], Tuija Sonkkila [rev], Najko Jahn [rev]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2024-10-04 20:10:08 UTC

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New package MDDC with initial version 1.0.0
Package: MDDC
Title: Modified Detecting Deviating Cells Algorithm in Pharmacovigilance
Version: 1.0.0
Maintainer: Anran Liu <anranliu@buffalo.edu>
Description: Methods for detecting signals related to (adverse event, medical product e.g. drugs, vaccines) pairs, a data generation function for simulating pharmacovigilance datasets, and various utility functions. For more details please see Liu A., Mukhopadhyay R., and Markatou M. <doi:10.48550/arXiv.2410.01168>.
URL: https://github.com/niuniular/MDDC
BugReports: https://github.com/niuniular/MDDC/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: doParallel, foreach, ggplot2, MASS, Rcpp, stats
Suggests: knitr, rmarkdown, roxygen2, spelling, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Language: en-US
NeedsCompilation: yes
Packaged: 2024-10-03 23:04:11 UTC; raktimmukhopadhyay
Author: Anran Liu [aut, cre] , Raktim Mukhopadhyay [aut] , Marianthi Markatou [aut]
Repository: CRAN
Date/Publication: 2024-10-04 10:10:17 UTC

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New package mappeR with initial version 0.1.3
Package: mappeR
Title: Construct and Visualize TDA Mapper Graphs
Description: Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>. The output graph is able to be visualized in R using 'igraph' or using a free network analysis software called 'Cytoscape', available for download from at <https://cytoscape.org/>.
License: MIT + file LICENSE
URL: https://github.com/Uiowa-Applied-Topology/mappeR
BugReports: https://github.com/Uiowa-Applied-Topology/mappeR/issues
Version: 0.1.3
Encoding: UTF-8
Imports: fastcluster, grDevices, igraph, RCy3, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-04 06:22:22 UTC; georg
Author: George Clare Kennedy [aut, cre]
Maintainer: George Clare Kennedy <george-clarekennedy@uiowa.edu>
Repository: CRAN
Date/Publication: 2024-10-04 10:20:04 UTC

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New package gofreg with initial version 1.0.0
Package: gofreg
Title: Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression
Version: 1.0.0
Description: Provides statistical methods to check if a parametric family of conditional density functions fits to some given dataset of covariates and response variables. Different test statistics can be used to determine the goodness-of-fit of the assumed model, see Andrews (1997) <doi:10.2307/2171880>, Bierens & Wang (2012) <doi:10.1017/S0266466611000168>, Dikta & Scheer (2021) <doi:10.1007/978-3-030-73480-0> and Kremling & Dikta (2024) <doi:10.48550/arXiv.2409.20262>. As proposed in these papers, the corresponding p-values are approximated using a parametric bootstrap method.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: checkmate, dplyr, ggplot2, R6, survival
URL: https://github.com/gkremling/gofreg, https://gkremling.github.io/gofreg/
BugReports: https://github.com/gkremling/gofreg/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-04 09:05:04 UTC; gitte
Author: Gitte Kremling [aut, cre, cph]
Maintainer: Gitte Kremling <gitte.kremling@web.de>
Repository: CRAN
Date/Publication: 2024-10-04 10:20:17 UTC

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New package extrememix with initial version 0.0.1
Package: extrememix
Title: Bayesian Estimation of Extreme Value Mixture Models
Version: 0.0.1
Description: Fits extreme value mixture models, which are models for tails not requiring selection of a threshold, for continuous data. It includes functions for model comparison, estimation of quantity of interest in extreme value analysis and plotting. Reference: CN Behrens, HF Lopes, D Gamerman (2004) <doi:10.1191/1471082X04st075oa>. FF do Nascimento, D. Gamerman, HF Lopes <doi:10.1007/s11222-011-9270-z>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/manueleleonelli/extrememix
BugReports: https://github.com/manueleleonelli/extrememix/issues
LinkingTo: Rcpp, RcppProgress
Imports: evd, ggplot2, gridExtra, mixtools, Rcpp, RcppProgress, stats, threshr
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-10-03 22:53:22 UTC; manueleleonelli
Author: Manuele Leonelli [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>
Repository: CRAN
Date/Publication: 2024-10-04 10:10:03 UTC

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New package AlignLV with initial version 0.1.0.0
Package: AlignLV
Title: Multiple Group Item Response Theory Alignment Helpers for 'lavaan' and 'mirt'
Version: 0.1.0.0
Description: Allows for multiple group item response theory alignment a la 'Mplus' to be applied to lists of single-group models estimated in 'lavaan' or 'mirt'. Allows item sets that are overlapping but not identical, facilitating alignment in secondary data analysis where not all items may be shared across assessments.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: abind, mirt, lavaan, magrittr, purrr, stats, dplyr, tibble, tidyr, rlang
Suggests: doRNG, doParallel, foreach, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-03 18:51:44 UTC; Max
Author: Maxwell Mansolf [aut, cre]
Maintainer: Maxwell Mansolf <maxwell.mansolf@northwestern.edu>
Repository: CRAN
Date/Publication: 2024-10-04 10:00:08 UTC

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New package openappr with initial version 0.2.0
Package: openappr
Title: Retrieve App Data from 'OpenAppBuilder'
Version: 0.2.0
Description: Provides an interface to connect R with the <https://github.com/IDEMSInternational/open-app-builder> 'OpenAppBuilder' platform, enabling users to retrieve and work with user and notification data for analysis and processing. It is designed for developers and analysts to seamlessly integrate data from 'OpenAppBuilder' into R workflows via a 'Postgres' database connection, allowing direct querying and import of app data into R.
License: LGPL (>= 3)
Encoding: UTF-8
Suggests: knitr, testthat, rmarkdown
Imports: DBI, dplyr, jsonlite, magrittr, purrr, rlang, RPostgres, RSQLite, stringr, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-03 11:51:07 UTC; lclem
Author: Lily Clements [aut, cre]
Maintainer: Lily Clements <lily@idems.international>
Repository: CRAN
Date/Publication: 2024-10-04 09:00:07 UTC

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New package BTTL with initial version 1.0.0
Package: BTTL
Title: Bradley-Terry Transfer Learning
Imports:
Version: 1.0.0
Maintainer: Sjoerd Hermes <sjoerd.hermes@wur.nl>
Description: Implements the methodological developments found in Hermes, van Heerwaarden, and Behrouzi (2024) <doi:10.48550/arXiv.2408.10558>, and allows for the statistical modeling of multi-attribute pairwise comparison data.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.10)
NeedsCompilation: no
Packaged: 2024-10-03 12:45:36 UTC; sjoer
Author: Sjoerd Hermes [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-04 09:00:15 UTC

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New package theftdlc with initial version 0.1.2
Package: theftdlc
Title: Analyse and Interpret Time Series Features
Version: 0.1.2
Date: 2024-10-04
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Provides a suite of functions for analysing, interpreting, and visualising time-series features calculated from different feature sets from the 'theft' package. Implements statistical learning methodologies described in Henderson, T., Bryant, A., and Fulcher, B. (2023) <doi:10.48550/arXiv.2303.17809>.
BugReports: https://github.com/hendersontrent/theftdlc/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), theft (>= 0.6.1)
Imports: rlang, stats, tibble, dplyr, ggplot2, tidyr, purrr, reshape2, scales, broom, Rtsne, e1071, janitor, umap, MASS, mclust, normaliseR, correctR
Suggests: lifecycle, cachem, bslib, knitr, markdown, rmarkdown, pkgdown, testthat
VignetteBuilder: knitr
URL: https://hendersontrent.github.io/theftdlc/
NeedsCompilation: no
Packaged: 2024-10-04 05:31:14 UTC; Trent.Henderson
Author: Trent Henderson [cre, aut]
Repository: CRAN
Date/Publication: 2024-10-04 06:40:02 UTC

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Thu, 03 Oct 2024

New package theft with initial version 0.6.3
Package: theft
Title: Tools for Handling Extraction of Features from Time Series
Version: 0.6.3
Date: 2024-10-03
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Consolidates and calculates different sets of time-series features from multiple 'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021) <doi:10.5281/zenodo.5546815>, 'feasts' O'Hara-Wild, M., Hyndman, R., and Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>, 'tsfeatures' Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y., and O'Hara-Wild, M. (2020) <https://CRAN.R-project.org/package=tsfeatures>, 'tsfresh' Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018) <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020) <doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data Science (2021) <https://facebookresearch.github.io/Kats/>.
BugReports: https://github.com/hendersontrent/theft/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: utils, rlang, dplyr, tidyr, purrr, tibble, tsibble, fabletools, tsfeatures, feasts, Rcatch22, reticulate, R.matlab
Suggests: lifecycle, cachem, bslib, knitr, markdown, rmarkdown, pkgdown, testthat
VignetteBuilder: knitr
URL: https://hendersontrent.github.io/theft/
NeedsCompilation: no
Packaged: 2024-10-03 08:03:28 UTC; Trent.Henderson
Author: Trent Henderson [cre, aut], Annie Bryant [ctb]
Repository: CRAN
Date/Publication: 2024-10-03 23:00:02 UTC

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New package GeoThinneR with initial version 1.1.0
Package: GeoThinneR
Title: Simple Spatial Thinning for Ecological and Spatial Analysis
Version: 1.1.0
Description: Provides efficient geospatial thinning algorithms to reduce the density of coordinate data while maintaining spatial relationships. Implements K-D Tree and brute-force distance-based thinning, as well as grid-based and precision-based thinning methods. For more information on the methods, see Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.
License: MIT + file LICENSE
URL: https://github.com/jmestret/GeoThinneR, https://jmestret.github.io/GeoThinneR/
BugReports: https://github.com/jmestret/GeoThinneR/issues
Depends: R (>= 4.0.0)
Imports: data.table, fields, matrixStats, nabor, Rcpp, stats, terra
Suggests: ggplot2, knitr, rmarkdown, sf, testthat (>= 3.0.0), tibble
LinkingTo: Rcpp
VignetteBuilder: knitr
BuildVignettes: true
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-10-03 13:23:51 UTC; jorge
Author: Jorge Mestre-Tomas [aut, cre]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>
Repository: CRAN
Date/Publication: 2024-10-03 23:10:13 UTC

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New package staccuracy with initial version 0.1.0
Package: staccuracy
Title: Standardized Accuracy and Other Model Performance Metrics
Version: 0.1.0
Language: en-US
Description: Standardized accuracy (staccuracy) is framework for expressing accuracy scores such that 50% represents a reference level of performance and 100% is perfect prediction. The 'staccuracy' package provides tools for creating staccuracy functions as well as some recommended staccuracy measures. It also provides functions for some classic performance metrics such as mean absolute error (MAE), root mean squared error (RMSE), and area under the receiver operating characteristic curve (AUCROC), as well as their winsorized versions when applicable.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: cli, dplyr, purrr, rlang, utils
URL: https://github.com/tripartio/staccuracy, https://tripartio.github.io/staccuracy/
BugReports: https://github.com/tripartio/staccuracy/issues
NeedsCompilation: no
Packaged: 2024-10-02 12:44:17 UTC; chitu.okoli
Author: Chitu Okoli [aut, cre]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>
Repository: CRAN
Date/Publication: 2024-10-03 19:10:02 UTC

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New package r6qualitytools with initial version 1.0.1
Package: r6qualitytools
Title: R6-Based Statistical Methods for Quality Science
Version: 1.0.1
Description: A comprehensive suite of statistical tools for Quality Management, designed around the Define, Measure, Analyze, Improve, and Control (DMAIC) cycle used in Six Sigma methodology. Based on the discontinued CRAN package 'qualitytools', this package refactors its original design by incorporating 'R6' object-oriented programming for increased flexibility and performance. It replaces traditional graphics with modern, interactive visualizations using 'ggplot2' and 'plotly'. Built on 'tidyverse' principles, it simplifies data manipulation and visualization, offering an intuitive approach to quality science.
License: GPL (>= 3)
URL: https://github.com/Fabianenc/r6qualitytools
BugReports: https://github.com/Fabianenc/r6qualitytools/issues
Imports: dplyr, EnvStats, ggplot2, graphics, grid, gridExtra, MASS, methods, patchwork, plotly, R6, RColorBrewer, Rsolnp, scales, stats, tibble, tidyr, utils
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-03 02:54:54 UTC; Fabian
Author: Andrea Barahona [aut], Fabian Encarnacion [aut, cre, cph], Miguel Flores [aut], Javier Tarrio-Saavedra [ctb], Salvador Naya [ctb]
Maintainer: Fabian Encarnacion <fab.encarnacion@outlook.com>
Repository: CRAN
Date/Publication: 2024-10-03 19:30:02 UTC

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New package FTSgof with initial version 1.0.0
Package: FTSgof
Title: White Noise and Goodness-of-Fit Tests for Functional Time Series
Version: 1.0.0
Maintainer: Mihyun Kim <mihyun.kim@mail.wvu.edu>
Description: It offers comprehensive tools for the analysis of functional time series data, focusing on white noise hypothesis testing and goodness-of-fit evaluations, alongside functions for simulating data and advanced visualization techniques, such as 3D rainbow plots. These methods are described in Kokoszka, Rice, and Shang (2017) <doi:10.1016/j.jmva.2017.08.004>, Yeh, Rice, and Dubin (2023) <doi:10.1214/23-EJS2112>, Kim, Kokoszka, and Rice (2023) <doi:10.1214/23-ss143>, and Rice, Wirjanto, and Zhao (2020) <doi:10.1111/jtsa.12532>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: sde, graphics, stats, rgl, fda, nloptr, sfsmisc, MASS
Language: en-US
URL: https://github.com/veritasmih/FTSgof
BugReports: https://github.com/veritasmih/FTSgof/issues
SystemRequirements: XQuartz (https://www.xquartz.org/)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-02 20:49:12 UTC; mk00095
Author: Mihyun Kim [aut, cre], Chi-Kuang Yeh [aut] , Yuqian Zhao [aut], Gregory Rice [ctb]
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2024-10-03 19:30:08 UTC

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New package extrasteps with initial version 0.1.0
Package: extrasteps
Title: More Miscellaneous Steps for the 'recipes' Package
Version: 0.1.0
Description: Contains additional miscellaneous steps for the 'recipes' package. These steps are useful, but doesn't have a good home in other 'recipes' packages or its extensions.
License: MIT + file LICENSE
URL: https://github.com/EmilHvitfeldt/extrasteps, https://emilhvitfeldt.github.io/extrasteps/
BugReports: https://github.com/EmilHvitfeldt/extrasteps/issues
Depends: R (>= 3.6), recipes (>= 1.0.7)
Imports: dplyr, generics, magrittr, purrr, rlang, tibble, vctrs
Suggests: almanac, ggplot2, modeldata, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-02 18:04:01 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-03 19:20:02 UTC

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New package conditionalProbNspades with initial version 1.0
Package: conditionalProbNspades
Version: 1.0
Date: 2024-09-30
Title: Conditional Probabilities of Distributions Across Hearts Hands
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Depends: R (>= 4.2.0)
Description: Provides some tabulated data to be be referred to in a discussion in a vignette accompanying my upcoming R package 'playWholeHandDriverPassParams'. In addition to that specific purpose, these may also provide data and illustrate some computational approaches that are relevant to card games like hearts or bridge.This package refers to authentic data from Gregory Stoll <https://gregstoll.com/~gregstoll/bridge/math.html>, and details of performing the probability calculations from Jeremy L. Martin <https://jlmartin.ku.edu/~jlmartin/bridge/basics.pdf>.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-02 16:10:17 UTC; barryzeeberg
Author: Barry Zeeberg [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-03 19:20:08 UTC

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New package spStack with initial version 1.0.0
Package: spStack
Version: 1.0.0
Title: Bayesian Geostatistics Using Predictive Stacking
Description: Fits Bayesian hierarchical spatial process models for point-referenced Gaussian, Poisson, binomial, and binary data using stacking of predictive densities. It involves sampling from analytically available posterior distributions conditional upon some candidate values of the spatial process parameters and, subsequently assimilate inference from these individual posterior distributions using Bayesian predictive stacking. Our algorithm is highly parallelizable and hence, much faster than traditional Markov chain Monte Carlo algorithms while delivering competitive predictive performance. See Zhang, Tang, and Banerjee (2024) <doi:10.48550/arXiv.2304.12414>, and, Pan, Zhang, Bradley, and Banerjee (2024) <doi:10.48550/arXiv.2406.04655> for details.
Imports: CVXR, future, future.apply, ggplot2, MBA, rstudioapi
NeedsCompilation: yes
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: ggpubr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr
URL: https://github.com/SPan-18/spStack-dev, https://span-18.github.io/spStack-dev/
BugReports: https://github.com/SPan-18/spStack-dev/issues
Language: en-US
Packaged: 2024-10-02 08:01:37 UTC; soumyakantipan
Author: Soumyakanti Pan [aut, cre] , Sudipto Banerjee [aut]
Maintainer: Soumyakanti Pan <span18@ucla.edu>
Repository: CRAN
Date/Publication: 2024-10-03 18:50:00 UTC

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New package RLoptimal with initial version 1.0.1
Package: RLoptimal
Title: Optimal Adaptive Allocation Using Deep Reinforcement Learning
Version: 1.0.1
Description: An implementation to compute an optimal adaptive allocation rule using deep reinforcement learning in a dose-response study (Matsuura et al. (2022) <doi:10.1002/sim.9247>). The adaptive allocation rule can directly optimize a performance metric, such as power, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve.
URL: https://github.com/MatsuuraKentaro/RLoptimal
BugReports: https://github.com/MatsuuraKentaro/RLoptimal/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
Language: en_US
Imports: DoseFinding, glue, R6, reticulate, stats, utils
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-10-02 11:07:11 UTC; kmatsuu
Author: Kentaro Matsuura [aut, cre, cph] , Koji Makiyama [aut, ctb]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-03 19:00:02 UTC

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New package PvSTATEM with initial version 0.0.4
Package: PvSTATEM
Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalizes the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project of the same name - 'PvSTATEM', which is an international project aiming for malaria elimination.
BugReports: https://github.com/mini-pw/PvSTATEM/issues
Version: 0.0.4
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, nplr, R6, readr, readxl, stringi, stringr, grid, png, tools, ggrepel,
Suggests: knitr, qpdf, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: <https://github.com/mini-pw/PvSTATEM>
NeedsCompilation: no
Packaged: 2024-10-02 11:48:19 UTC; tymot
Author: Tymoteusz Kwiecinski [aut, cre], Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-03 19:00:06 UTC

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New package GFDrmtl with initial version 0.1.0
Package: GFDrmtl
Title: Multiple RMTL-Based Tests for Competing Risks Data in General Factorial Designs
Version: 0.1.0
Maintainer: Merle Munko <merle.munko@ovgu.de>
Description: We implemented multiple tests based on the restricted mean time lost (RMTL) for general factorial designs as described in Munko et al. (2024) <doi:10.48550/arXiv.2409.07917>. Therefore, an asymptotic test and a permutation test are incorporated with a Wald-type test statistic. The asymptotic test takes the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMTL contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: mstate
Imports: GFDmcv, GFDrmst, lpSolve, shinyWidgets, shinyMatrix, shiny (>= 1.5.0), tippy (>= 0.1.0), mvtnorm, MASS (>= 7.3-53), plyr (>= 1.8.6), shinyjs (>= 2.0.0), shinythemes (>= 1.1.2)
NeedsCompilation: no
Packaged: 2024-10-02 08:39:01 UTC; munko
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Merle Munko [aut, cre], Jannes Walter [aut]
Repository: CRAN
Date/Publication: 2024-10-03 18:50:04 UTC

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Wed, 02 Oct 2024

New package Rcatch22 with initial version 0.2.3
Package: Rcatch22
Title: Calculation of 22 Canonical Time-Series Characteristics
Version: 0.2.3
Date: 2024-09-30
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by <doi:10.1007/s10618-019-00647-x>.
BugReports: https://github.com/hendersontrent/Rcatch22/issues/
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: rlang, stats, Rcpp (>= 0.12.15)
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-09-30 21:50:08 UTC; trenthenderson
Author: Trent Henderson [cre, aut], Carl Lubba [ctb]
Repository: CRAN
Date/Publication: 2024-10-02 22:30:03 UTC

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New package comparer with initial version 0.2.4
Package: comparer
Title: Compare Output and Run Time
Version: 0.2.4
Description: Quickly run experiments to compare the run time and output of code blocks. The function mbc() can make fast comparisons of code, and will calculate statistics comparing the resulting outputs. It can be used to compare model fits to the same data or see which function runs faster. The R6 class ffexp$new() runs a function using all possible combinations of selected inputs. This is useful for comparing the effect of different parameter values. It can also run in parallel and automatically save intermediate results, which is very useful for long computations.
License: GPL-3
Encoding: UTF-8
Imports: R6
Depends: GauPro (>= 0.2.7), mixopt, rmarkdown, plyr, progress
Suggests: testthat (>= 2.1.0), covr, knitr, ggplot2, GGally, ggpubr, ContourFunctions, parallel, snow, tibble, lhs, DiceKriging, DiceOptim, microbenchmark
URL: https://github.com/CollinErickson/comparer
BugReports: https://github.com/CollinErickson/comparer/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-29 17:53:39 UTC; colli
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 22:50:03 UTC

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New package stepcount with initial version 0.3.2
Package: stepcount
Title: Estimate Step Counts from 'Accelerometry' Data
Version: 0.3.2
Description: Interfaces the 'stepcount' Python module <https://github.com/OxWearables/stepcount> to estimate step counts and other activities from 'accelerometry' data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, curl, lubridate, magrittr, readr, reticulate
Suggests: tidyr, dplyr, ggplot2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-01 20:53:56 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 17:00:02 UTC

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New package midoc with initial version 1.0.0
Package: midoc
Title: A Decision-Making System for Multiple Imputation
Version: 1.0.0
Description: A guidance system for analysis with missing data. It incorporates expert, up-to-date methodology to help researchers choose the most appropriate analysis approach when some data are missing. You provide the available data and the assumed causal structure, including the likely causes of missing data. 'midoc' will advise which analysis approaches can be used, and how best to perform them. 'midoc' follows the framework for the treatment and reporting of missing data in observational studies (TARMOS). Lee et al (2021). <doi:10.1016/j.jclinepi.2021.01.008>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, shiny, testthat
Imports: arm, blorr, dagitty, glue, grDevices, lifecycle, mfp2, mice (>= 3.16.0), rlang, rmarkdown, stats, utils
VignetteBuilder: knitr
Depends: R (>= 3.6)
LazyData: true
URL: https://elliecurnow.github.io/midoc/
NeedsCompilation: no
Packaged: 2024-10-01 11:01:00 UTC; ec15808
Author: Elinor Curnow [aut, cre, cph] , Jon Heron [aut], Rosie Cornish [aut], Kate Tilling [aut], James Carpenter [aut]
Maintainer: Elinor Curnow <elinor.curnow@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2024-10-02 16:40:02 UTC

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New package microinverterdata with initial version 0.1.0
Package: microinverterdata
Title: Collect your Microinverter Data
Version: 0.1.0
Description: Collect and normalize local microinverter energy and power production data through off-cloud API requests. Currently supports 'APSystems' microinverters.
License: MIT + file LICENSE
BugReports: https://github.com/camembR/microinverterdata/issues
URL: https://camembr.github.io/microinverterdata/
Encoding: UTF-8
Imports: cli, dplyr, glue, httr2, purrr, readr, rlang, tidyr, units
Suggests: httptest2, knitr, lubridate, pins, rmarkdown, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-01 17:21:12 UTC; creg
Author: Christophe Regouby [aut, cre, cph]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>
Repository: CRAN
Date/Publication: 2024-10-02 16:50:02 UTC

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New package MaxMC with initial version 0.1.2
Package: MaxMC
Title: Maximized Monte Carlo
Date: 2024-09-29
Version: 0.1.2
Maintainer: Gabriel Rodriguez-Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>
Description: An implementation of the Monte Carlo techniques described in details by Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/julienneves/MaxMC
Suggests: fUnitRoots, microbenchmark, boot, MASS, knitr, rmarkdown
Imports: GenSA, pso, GA, NMOF, scales, stats, graphics, utils,
NeedsCompilation: no
Packaged: 2024-10-01 12:22:57 UTC; gabrielrodriguez
Author: Julien Neves [aut], Jean-Marie Dufour [aut, ths], Gabriel Rodriguez-Rondon [cre]
Repository: CRAN
Date/Publication: 2024-10-02 16:40:06 UTC

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New package mabacR with initial version 0.1.0
Package: mabacR
Title: Assisting Decision Makers
Version: 0.1.0
Maintainer: Adam Slabadack <arslabadack@gmail.com>
Description: Easy implementation of the MABAC multi-criteria decision method, that was introduced by Pamučar and Ćirović in the work entitled: "The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)" - <doi:10.1016/j.eswa.2014.11.057> - which aimed to choose implements for logistics centers. This package receives data, preferably in a spreadsheet, reads it and applies the mathematical algorithms inherent to the MABAC method to generate a ranking with the optimal solution according to the established criteria, weights and type of criteria. The data will be normalized, weighted by the weights, the border area will be determined, the distances to this border area will be calculated and finally a ranking with the optimal option will be generated.
License: GPL (>= 2)
URL: https://github.com/slabaverse/mabacR
BugReports: https://github.com/slabaverse/mabacR/issues
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-01 20:54:27 UTC; optimus-prime
Author: Adam Slabadack [cre, aut], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2024-10-02 17:00:06 UTC

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New package HMMcopula with initial version 1.1.0
Package: HMMcopula
Title: Markov Regime Switching Copula Models Estimation and Goodness-of-Fit
Version: 1.1.0
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>
Description: Estimation procedures and goodness-of-fit test for several Markov regime switching models and mixtures of bivariate copula models. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses Rosenblatt's transform and parametric bootstrap to estimate the p-value. The proposed methodologies are described in Nasri, Remillard and Thioub (2020) <doi:10.1002/cjs.11534>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: mvtnorm, foreach, doParallel, copula
NeedsCompilation: no
Packaged: 2024-10-01 11:44:22 UTC; 49009427
Author: Bouchra R. Nasri [aut], Bruno N Remillard [aut, cre, cph], Mamadou Yamar Thioub [aut], Romanic Pieugueu [aut]
Repository: CRAN
Date/Publication: 2024-10-02 16:40:09 UTC

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New package ggview with initial version 0.2.1
Package: ggview
Title: 'ggplot2' Picture Previewer
Version: 0.2.1
Description: Preview what a 'ggplot2' plot would look like if you save it to a file. Attach picture dimensions as a canvas() element and get an instant preview. These dimensions will then be used when you save the plot.
License: GPL-2 | file LICENSE
Encoding: UTF-8
Imports: ggplot2, rstudioapi
URL: https://github.com/idmn/ggview
BugReports: https://github.com/idmn/ggview/issues
Suggests: testthat (>= 3.0.0), png
NeedsCompilation: no
Packaged: 2024-10-01 19:07:12 UTC; iaroslav
Author: Iaroslav Domin [aut, cre, cph]
Maintainer: Iaroslav Domin <ya.domin@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 17:00:10 UTC

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New package ggcompare with initial version 0.0.1
Package: ggcompare
Title: Mean Comparison in 'ggplot2'
Version: 0.0.1
Description: Add mean comparison annotations to a 'ggplot'. This package provides an easy way to indicate if two or more groups are significantly different in a 'ggplot'. Usually you do not need to specify the test method, you only need to tell stat_compare() whether you want to perform a parametric test or a nonparametric test, and stat_compare() will automatically choose the appropriate test method based on your data. For comparisons between two groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank sum test (nonparametric). For comparisons among more than two groups, the p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test (nonparametric).
License: Artistic-2.0
URL: https://hmu-wh.github.io/ggcompare/, https://github.com/HMU-WH/ggcompare/
BugReports: https://github.com/HMU-WH/ggcompare/issues/
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2
NeedsCompilation: no
Packaged: 2024-10-01 14:57:31 UTC; 22835
Author: Hao Wang [aut, cre]
Maintainer: Hao Wang <wanghao8772@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 16:50:06 UTC

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New package depCensoring with initial version 0.1.1
Package: depCensoring
Title: Statistical Methods for Survival Data with Dependent Censoring
Version: 0.1.1
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9> and Willems et al. (2024+) <https:arxiv.org/abs/2403.11860>.
Imports: survival, foreach, parallel, doParallel, pbivnorm, stats, MASS, nleqslv, OpenMx, mvtnorm, rafalib, rvinecopulib, matrixcalc, nloptr, stringr, numDeriv, SemiPar.depCens
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-01 12:47:59 UTC; Negera Deresa
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Ingrid Van Keilegom [aut]
Repository: CRAN
Date/Publication: 2024-10-02 16:50:10 UTC

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New package CIpostSelect with initial version 0.1.0
Package: CIpostSelect
Title: Confidence Interval Post-Selection of Variable
Version: 0.1.0
Maintainer: Boubacar DIALLO <boubacar.diallo0@yahoo.com>
Description: Calculates confidence intervals after variable selection using repeated data splits. The package offers methods to address the challenges of post-selection inference, ensuring more accurate confidence intervals in models involving variable selection. The two main functions are 'lmps', which records the different models selected across multiple data splits as well as the corresponding coefficient estimates, and 'cips', which takes the lmps object as input to select variables and perform inferences using two types of voting.
License: MIT + file LICENSE
Imports: MASS, doParallel, foreach, ggplot2, glmnet, magrittr, mlbench, tictoc
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-01 13:11:28 UTC; bouba
Author: Boubacar DIALLO [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-02 16:50:14 UTC

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New package SOMMD with initial version 0.1.2
Package: SOMMD
Title: Self Organising Maps for the Analysis of Molecular Dynamics Data
Version: 0.1.2
Description: Processes data from Molecular Dynamics simulations using Self Organising Maps. Features include the ability to read different input formats. Trajectories can be analysed to identify groups of important frames. Output visualisation can be generated for maps and pathways. Methodological details can be found in Motta S et al (2022) <doi:10.1021/acs.jctc.1c01163>. I/O functions for xtc format files were implemented using the 'xdrfile' library available under open source license. The relevant information can be found in inst/COPYRIGHT.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: bio3d, kohonen, abind, cluster, methods, igraph
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-10-01 07:52:26 UTC; apandini
Author: Alessandro Pandini [aut, cph] , Stefano Motta [aut, cre, cph] , Erik Lindahl [ctb] , David van der Spoel [ctb]
Maintainer: Stefano Motta <stefano.motta@unimib.it>
Repository: CRAN
Date/Publication: 2024-10-02 13:50:06 UTC

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New package ISCA with initial version 0.1.0
Package: ISCA
Version: 0.1.0
Maintainer: Lucas Drouhot <l.g.m.drouhot@uu.nl>
License: GPL (>= 3)
Title: Compare Heterogeneous Social Groups
Description: The Inductive Subgroup Comparison Approach ('ISCA') offers a way to compare groups that are internally differentiated and heterogeneous. It starts by identifying the social structure of a reference group against which a minority or another group is to be compared, yielding empirical subgroups to which minority members are then matched based on how similar they are. The modelling of specific outcomes then occurs within specific subgroups in which majority and minority members are matched. 'ISCA' is characterized by its data-driven, probabilistic, and iterative approach and combines fuzzy clustering, Monte Carlo simulation, and regression analysis. ISCA_random_assignments() assigns subjects probabilistically to subgroups. ISCA_clustertable() provides summary statistics of each cluster across iterations. ISCA_modeling() provides Ordinary Least Squares regression results for each cluster across iterations. For further details please see Drouhot (2021) <doi:10.1086/712804>.
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: data.table (>= 1.16.0), stringr (>= 1.5.1), e1071 (>= 1.7-16), Hmisc (>= 5.1-3), broom (>= 1.0.7), dplyr (>= 1.1.4), tidyselect (>= 1.2.1), stats (>= 4.3.1), tibble (>= 3.2.1), plyr (>= 1.8.9), magrittr (>= 2.0.3)
Suggests: knitr, rmarkdown, tidyr (>= 1.3.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-30 20:09:01 UTC; Marion Späth
Author: Lucas Drouhot [aut, cre], Marion Spaeth [aut]
Repository: CRAN
Date/Publication: 2024-10-02 13:10:10 UTC

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New package epizootic with initial version 1.0.0
Package: epizootic
Title: Spatially Explicit Population Models of Disease Transmission in Wildlife
Version: 1.0.0
Description: This extension of the pattern-oriented modeling framework of the 'poems' package provides a collection of modules and functions customized for modeling disease transmission on a population scale in a spatiotemporally explicit manner. This includes seasonal time steps, dispersal functions that track disease state of dispersers, results objects that store disease states, and a population simulator that includes disease dynamics.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/viralemergence/epizootic
BugReports: https://github.com/viralemergence/epizootic/issues
Depends: R (>= 4.3.0)
Imports: purrr (>= 1.0.0), dplyr (>= 1.1.3), tibble (>= 3.2.1), R6 (>= 2.5.1), cli (>= 3.6.1), raster (>= 3.6), qs (>= 0.25.7), poems (>= 1.1.0), doParallel (>= 1.0.16), foreach (>= 1.5.1), Rcpp
Suggests: testthat (>= 3.0.0), geosphere (>= 1.5), knitr (>= 1.17), rmarkdown (>= 1.6)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-30 18:40:10 UTC; caryinstitute
Author: July Pilowsky [aut, cre] , National Science Foundation Biology Integration Institute 2213854 [fnd]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>
Repository: CRAN
Date/Publication: 2024-10-02 13:10:05 UTC

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New package CompositionalRF with initial version 1.0
Package: CompositionalRF
Title: Multivariate Random Forest with Compositional Responses
Version: 1.0
Date: 2024-10-01
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, doParallel, foreach, MultivariateRandomForest, Rfast, stats
Description: Non linear regression with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-10-01 10:09:38 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-10-02 14:00:05 UTC

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New package autogam with initial version 0.0.1
Package: autogam
Title: Automate the Creation of Generalized Additive Models (GAMs)
Version: 0.0.1
Language: en-US
Description: This wrapper package for 'mgcv' makes it easier to create high-performing Generalized Additive Models (GAMs). With its central function autogam(), by entering just a dataset and the name of the outcome column as inputs, 'AutoGAM' tries to automate the procedure of configuring a highly accurate GAM which performs at reasonably high speed, even for large datasets.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: dplyr, mgcv, purrr, stats, stringr
URL: https://github.com/tripartio/autogam, https://tripartio.github.io/autogam/
BugReports: https://github.com/tripartio/autogam/issues
NeedsCompilation: no
Packaged: 2024-10-01 08:41:28 UTC; chitu
Author: Chitu Okoli [aut, cre]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>
Repository: CRAN
Date/Publication: 2024-10-02 13:50:02 UTC

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New package ai with initial version 1.0.4.44
Package: ai
Title: Build, Predict and Analyse Artificial Intelligence Models
Version: 1.0.4.44
Description: An interface for data processing, building models, predicting values and analysing outcomes. Fitting Linear Models, Robust Fitting of Linear Models, k-Nearest Neighbor Classification, 1-Nearest Neighbor Classification, and Conditional Inference Trees are available.
Depends: R (>= 4.4.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/urniaz/ai
BugReports: https://github.com/urniaz/ai/issues
Imports: base, class, stats, caTools, MASS, party, Metrics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-30 22:26:49 UTC; urniaz
Author: Rafal Urniaz [aut, cre]
Maintainer: Rafal Urniaz <rafal.urniaz@cantab.net>
Repository: CRAN
Date/Publication: 2024-10-02 13:30:06 UTC

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New package acoRn with initial version 0.1.0
Package: acoRn
Title: Exclusion-Based Parentage Assignment Using Multilocus Genotype Data
Version: 0.1.0
Description: Exclusion-based parentage assignment is essential for studies in biodiversity conservation and breeding programs - Kang Huang, Rui Mi, Derek W Dunn, Tongcheng Wang, Baoguo Li, (2018), <doi:10.1534/genetics.118.301592>. The tool compares multilocus genotype data of potential parents and offspring, identifying likely parentage relationships while accounting for genotyping errors, missing data, and duplicate genotypes. 'acoRn' includes two algorithms: one generates synthetic genotype data based on user-defined parameters, while the other analyzes existing genotype data to identify parentage patterns. The package is versatile, applicable to diverse organisms, and offers clear visual outputs, making it a valuable resource for researchers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, stringr, stringi
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-01 09:03:08 UTC; nikospech
Author: Nikos Pechlivanis [aut, cre] , Fotis Psomopoulos [aut] , Aristotelis Papageorgiou [aut]
Maintainer: Nikos Pechlivanis <npechlv@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 14:00:02 UTC

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New package coro with initial version 1.0.4
Package: coro
Title: 'Coroutines' for R
Version: 1.0.4
Description: Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
License: MIT + file LICENSE
URL: https://github.com/r-lib/coro
BugReports: https://github.com/r-lib/coro/issues
Depends: R (>= 3.5.0)
Imports: rlang (>= 0.4.12)
Suggests: knitr, later (>= 1.1.0), magrittr (>= 2.0.0), promises, reticulate, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-11 11:07:36 UTC; lionel
Author: Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>
Repository: CRAN
Date/Publication: 2024-03-11 11:40:02 UTC

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Tue, 01 Oct 2024

New package contrastable with initial version 1.0.2
Package: contrastable
Title: Consistent Contrast Coding for Factors
Version: 1.0.2
Description: Quickly set and summarize contrasts for factors prior to regression analyses. Intended comparisons, baseline conditions, and intercepts can be explicitly set and documented without the user needing to directly manipulate matrices. Reviews and introductions for contrast coding are available in Brehm and Alday (2022)<doi:10.1016/j.jml.2022.104334> and Schad et al. (2020)<doi:10.1016/j.jml.2019.104038>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, crayon, glue, MASS, purrr, rlang (>= 0.1.2), stats, tidyselect
Suggests: dplyr, knitr, testthat (>= 3.0.0), roxygen2, rmarkdown, covr, hypr
URL: https://github.com/tsostarics/contrastable
BugReports: https://github.com/tsostarics/contrastable/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-30 14:29:53 UTC; Thomas
Author: Thomas Sostarics [aut, cre, cph]
Maintainer: Thomas Sostarics <tsostarics@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-01 14:50:03 UTC

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New package apt with initial version 4.0
Package: apt
Title: Asymmetric Price Transmission
Version: 4.0
Date: 2024-09-30
Description: The transmission between two time-series prices is assessed. It contains several functions for linear and nonlinear threshold co-integration, and furthermore, symmetric and asymmetric error correction models.
Depends: R (>= 3.0.0), erer
Imports: car, urca
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-09-30 14:20:30 UTC; csun
Author: Changyou Sun [aut, cre]
Maintainer: Changyou Sun <edwinsun258@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-01 14:50:08 UTC

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New package woylier with initial version 0.0.9
Package: woylier
Title: Alternative Tour Frame Interpolation Method
Version: 0.0.9
Description: This method generates a tour path by interpolating between d-D frames in p-D using Givens rotations. The algorithm arises from the problem of zeroing elements of a matrix. This interpolation method is useful for showing specific d-D frames in the tour, as opposed to d-D planes, as done by the geodesic interpolation. It is useful for projection pursuit indexes which are not s invariant. See more details in Buj, Cook, Asimov and Hurley (2005) <doi:10.1016/S0169-7161(04)24014-7> and Batsaikhan, Cook and Laa (2023) <doi:10.48550/arXiv.2311.08181>.
Depends: R (>= 4.1)
Imports: tourr, geozoo, dplyr, tibble
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, purrr, ggplot2, ash, testthat (>= 3.0.0)
URL: https://numbats.github.io/woylier/, https://github.com/numbats/woylier
BugReports: https://github.com/numbats/woylier/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-29 05:29:18 UTC; cookd
Author: Zola Batsaikan [aut] , Dianne Cook [aut, cre] , Ursula Laa [aut]
Maintainer: Dianne Cook <dicook@monash.edu>
Repository: CRAN
Date/Publication: 2024-10-01 09:40:02 UTC

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New package webdav with initial version 0.1.0
Package: webdav
Title: A Simple Interface for Interacting with 'WebDAV' Servers
Version: 0.1.0
Description: An easy-to-use interface for interacting with 'WebDAV' servers, including 'OwnCloud'. It simplifies the use of 'WebDAV' methods such as COPY, MKCOL, MOVE, and others. With built-in authentication and request handling, it allows for easy management of files and directories over the 'WebDAV' protocol.
Depends: R (>= 4.0.0)
Imports: httr2, httpuv, xml2, dplyr, glue, stringr, magrittr, tibble
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), roxygen2, knitr, fortunes, rmarkdown
URL: <https://github.com/StrategicProjects/webdav>
NeedsCompilation: no
Packaged: 2024-09-29 17:42:06 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2024-10-01 10:00:02 UTC

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New package SoilManageR with initial version 1.0.1
Package: SoilManageR
Title: Calculate Soil Management Indicators for Agricultural Practice Assessment
Version: 1.0.1
Description: Calculate numerical agricultural soil management indicators from on a management timeline of an arable field. Currently, indicators for carbon (C) input into the soil system, soil tillage intensity rating (STIR), number of soil cover and living plant cover days, N fertilization and livestock intensity, and plant diversity are implemented. The functions can also be used independently of the management timeline to calculate some indicators. The package contains tables with reference information for the functions, as well as a '*.xlsx' template to collect the management data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr (>= 2.0.3), dplyr (>= 1.1.4), lubridate (>= 1.9.2), ggplot2 (>= 3.4.4), ggthemes (>= 5.0.0), tidyr (>= 1.3.0), tibble (>= 3.2.1), readxl (>= 1.4.3), Rdpack (>= 2.6)
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://gitlab.com/SoilManageR/
BugReports: https://gitlab.com/SoilManageR/SoilManageR/-/issues
NeedsCompilation: no
Packaged: 2024-09-29 18:51:20 UTC; f80826871
Author: Olivier Heller [cre, aut] , Raphael Wittwer [ctb]
Maintainer: Olivier Heller <olivier.heller@agroscope.admin.ch>
Repository: CRAN
Date/Publication: 2024-10-01 10:00:07 UTC

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Mon, 30 Sep 2024

New package pikchr with initial version 0.97
Package: pikchr
Title: R Wrapper for 'pikchr' (PIC) Diagram Language
Version: 0.97
Date: 2024-09-25
Description: An 'R' interface to 'pikchr' (<https://pikchr.org>, pronounced “picture”), a 'PIC'-like markup language for creating diagrams within technical documentation. Originally developed by Brian Kernighan, 'PIC' has been adapted into 'pikchr' by D. Richard Hipp, the creator of 'SQLite'. 'pikchr' is designed to be embedded in fenced code blocks of Markdown or other documentation markup languages, making it ideal for generating diagrams in text-based formats. This package allows R users to seamlessly integrate the descriptive syntax of 'pikchr' for diagram creation directly within the 'R' environment.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Imports: knitr, brio, htmltools, rlang, purrr, stringr, rsvg
URL: <https://github.com/StrategicProjects/pikchr>
Note: This package makes use of the 'pikchr' source code created by Richard Hipp (<https://pikchr.org>).
NeedsCompilation: yes
Packaged: 2024-09-27 11:33:45 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Richard Hipp [ctb], Brian Kernighan [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2024-09-30 16:40:02 UTC

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New package kappaGold with initial version 0.3.2
Package: kappaGold
Title: Agreement of Nominal Scale Raters with a Gold Standard
Version: 0.3.2
Date: 2024-09-27
Description: Estimate agreement of a group of raters with a gold standard rating on a nominal scale. For a single gold standard rater the average pairwise agreement of raters with this gold standard is provided. For a group of gold standard raters the approach of S. Vanbelle, A. Albert (2009) <doi:10.1007/s11336-009-9116-1> is implemented. Bias and standard error are estimated via delete-1 jackknife.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: future.apply (>= 1.6), purrr (>= 0.3), stats, tibble, tidyr
Suggests: dplyr, irr, knitr, testthat (>= 3.0.0)
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2024-09-27 12:56:22 UTC; kuhnmat
Author: Matthias Kuhn [aut, cre] , Jonas Breidenstein [aut]
Maintainer: Matthias Kuhn <matthias.kuhn@tu-dresden.de>
Repository: CRAN
Date/Publication: 2024-09-30 16:50:02 UTC

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New package dampack with initial version 1.0.2.1000
Package: dampack
Title: Decision-Analytic Modeling Package
Version: 1.0.2.1000
Description: A suite of functions for analyzing and visualizing the health economic outputs of mathematical models. This package was developed with funding from the National Institutes of Allergy and Infectious Diseases of the National Institutes of Health under award no. R01AI138783. The content of this package is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The theoretical underpinnings of 'dampack''s functionality are detailed in Hunink et al. (2014) <doi:10.1017/CBO9781139506779>.
License: GPL-3
URL: https://github.com/DARTH-git/dampack
BugReports: https://github.com/DARTH-git/dampack/issues
Encoding: UTF-8
Depends: R (>= 3.5), ggplot2 (>= 3.3.0)
Imports: ellipse, dplyr, scales, stringr, mgcv, truncnorm, triangle, ggrepel, tidyr, rlang
Suggests: testthat, lintr, knitr, rmarkdown, kableExtra
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-27 18:14:02 UTC; cide
Author: Fernando Alarid-Escudero [aut] , Greg Knowlton [aut], Caleb W. Easterly [aut] , David Garibay [ctb, cre], Eva Enns [aut]
Maintainer: David Garibay <dgari039@uottawa.ca>
Repository: CRAN
Date/Publication: 2024-09-30 17:00:06 UTC

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New package seq2R with initial version 2.0.1
Package: seq2R
Title: Simple Method to Detect Compositional Changes in Genomic Sequences
Version: 2.0.1
Date: 2024-09-27
Maintainer: Nora M. Villanueva <nmvillanueva@uvigo.gal>
Depends: R (>= 2.15.1)
Description: This software is useful for loading '.fasta' or '.gbk' files, and for retrieving sequences from 'GenBank' dataset <https://www.ncbi.nlm.nih.gov/genbank/>. This package allows to detect differences or asymmetries based on nucleotide composition by using local linear kernel smoothers. Also, it is possible to draw inference about critical points (i. e. maximum or minimum points) related with the derivative curves. Additionally, bootstrap methods have been used for estimating confidence intervals and speed computational techniques (binning techniques) have been implemented in 'seq2R'.
Imports: seqinr
License: GPL
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-30 13:01:08 UTC; sestelo
Author: Nora M. Villanueva [aut, cre] , Marta Sestelo [aut] , Alan Miller [ctb]
Repository: CRAN
Date/Publication: 2024-09-30 14:50:02 UTC

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New package usaidplot with initial version 2.0.2
Package: usaidplot
Title: Make Graphs with US Agency for International Development Colors
Version: 2.0.2
Maintainer: Jacob Patterson-Stein <jacobpstein@gmail.com>
Description: Automatically apply the United States Agency for International Development's color palette and fonts for either discrete or continuous variables.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10), extrafont, extrafontdb, ggplot2
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jacobpstein/usaid_plot
BugReports: https://github.com/jacobpstein/usaid_plot/issues
NeedsCompilation: no
Packaged: 2024-09-27 01:08:45 UTC; jacobpstein
Author: Jacob Patterson-Stein [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-30 10:30:02 UTC

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New package SpaCCI with initial version 1.0
Package: SpaCCI
Title: Spatially Aware Cell-Cell Interaction Analysis
Version: 1.0
Date: 2024-09-26
Maintainer: Li-Ting Ku <lku@mdanderson.org>
Description: Provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like 'CellChat' <http://www.cellchat.org/>, 'CellPhoneDB' <https://www.cellphonedb.org/>, 'Cellinker' <https://www.rna-society.org/cellinker/>, 'ICELLNET' <https://github.com/soumelis-lab/ICELLNET>, and 'ConnectomeDB' <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.13), Seurat (>= 4.0.0), nnls, ggrepel, pheatmap, circlize (>= 0.4.12), Matrix, dplyr, patchwork, grDevices, reshape2, graphics, ggplot2
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-09-26 23:55:52 UTC; lku
Author: Li-Ting Ku [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-30 10:30:14 UTC

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New package pMEM with initial version 0.1-1
Package: pMEM
Title: Predictive Moran's Eigenvector Maps
Version: 0.1-1
Date: 2024-09-26
Encoding: UTF-8
Description: Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" <doi:10.5281/zenodo.13356457>. Methods in Ecology and Evolution. This method enables scientists to predict the values of spatially-structured environmental variables. Multiple types of pMEM are defined, each one implemented on the basis of spatial weighting function taking a range parameter, and sometimes also a shape parameter. The code's modular nature enables programers to implement new pMEM by defining new spatial weighting functions.
Depends: R (>= 3.5.0), sf
Suggests: knitr, xfun, magrittr, glmnet
Imports: Rcpp (>= 1.0.11)
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
LinkingTo: Rcpp
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2024-09-26 21:02:57 UTC; guenardg
Author: Guillaume Guenard [aut, cre] , Pierre Legendre [ctb]
Maintainer: Guillaume Guenard <guillaume.guenard@umontreal.ca>
Date/Publication: 2024-09-30 10:20:04 UTC

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New package IGC.CSM with initial version 0.2.0
Package: IGC.CSM
Title: Simulate Impact of Different Urban Policies Through a General Equilibrium Model
Version: 0.2.0
Description: Develops a General Equilibrium (GE) Model, which estimates key variables such as wages, the number of residents and workers, the prices of the floor space, and its distribution between commercial and residential use, as in Ahlfeldt et al., (2015) <doi:10.3982/ECTA10876>. By doing so, the model allows understanding the economic influence of different urban policies.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-27 01:23:43 UTC; zarruk
Author: David Zarruk [aut], Roman Zarate [aut, cre]
Maintainer: Roman Zarate <rd.zarate40@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-30 10:40:03 UTC

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New package Argentum with initial version 0.5.1
Package: Argentum
Title: Access and Import WMS and WFS Data from Argentine Organizations
Version: 0.5.1
Description: Provides functions to retrieve information from Web Feature Service (WFS) and Web Map Service (WMS) layers from various Argentine organizations and import them into R for further analysis. WFS and WMS are standardized protocols for serving georeferenced map data over the internet. For more information on these services, see <https://www.ogc.org/standard/wfs/> and <https://www.ogc.org/standard/wms/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, xml2, sf, readr
Suggests: testthat (>= 3.0.0), mockery
NeedsCompilation: no
Packaged: 2024-09-26 22:20:03 UTC; tomia
Author: Thomas Artopoulos [aut, cre]
Maintainer: Thomas Artopoulos <thomas.artopoulos@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-30 10:30:20 UTC

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New package STICr with initial version 1.0
Package: STICr
Title: Process Stream Temperature, Intermittency, and Conductivity (STIC) Sensor Data
Description: A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors. Some package functionality is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.
License: AGPL (>= 3)
URL: https://github.com/HEAL-KGS/STICr
BugReports: https://github.com/HEAL-KGS/STICr/issues
Encoding: UTF-8
LazyData: true
Version: 1.0
Depends: R (>= 4.2)
Imports: dplyr, lubridate, stringr, tidyr, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-26 15:34:20 UTC; s947z036
Author: Sam Zipper [aut, cre, cph] , Christopher T. Wheeler [aut] , Stephen Cook [ctb] , Delaney Peterson [ctb] , Sarah Godsey [ctb]
Maintainer: Sam Zipper <samzipper@ku.edu>
Repository: CRAN
Date/Publication: 2024-09-30 09:50:02 UTC

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New package MethodOpt with initial version 1.0.0
Package: MethodOpt
Title: Advanced Method Optimization for Spectra-Generating Sampling and Analysis Instrumentation
Version: 1.0.0
Description: A graphical user interface to apply an advanced method optimization algorithm to various sampling and analysis instruments. This includes generating experimental designs, uploading and viewing data, and performing various analyses to determine the optimal method. Details of the techniques used in this package are published in Gamble, Granger, & Mannion (2024) <doi:10.1021/acs.analchem.3c05763>.
Depends: magrittr (>= 2.0.3)
License: GPL (>= 3)
Imports: shiny (>= 1.7.5.1), shinyFeedback (>= 0.4.0), shinyalert (>= 3.0.0), htmltools (>= 0.5.8.1), FrF2 (>= 2.3.3), DT (>= 0.30), ggplot2 (>= 3.4.4), stats (>= 4.3.2), dplyr (>= 1.1.3), shinyjs (>= 2.1.0), tibble (>= 3.2.1), glue (>= 1.6.2), rlang (>= 1.1.2), DoE.wrapper (>= 0.12), gtools (>= 3.9.5), zip (>= 2.3.0), zoo (>= 1.8.12), purrr (>= 1.0.2), shinyBS (>= 0.61.1)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-25 13:09:40 UTC; k9638
Author: Benjamin Luke [aut], Stephanie Gamble [aut, cre], Battelle Savannah River Alliance [cph]
Maintainer: Stephanie Gamble <stephanie.gamble@srnl.doe.gov>
Repository: CRAN
Date/Publication: 2024-09-30 09:50:07 UTC

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New package ready4 with initial version 0.1.18
Package: ready4
Title: Develop and Use Modular Health Economic Models
Version: 0.1.18
Description: A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
License: GPL-3
URL: https://ready4-dev.github.io/ready4/, https://github.com/ready4-dev/ready4, https://www.ready4-dev.com/
Encoding: UTF-8
Suggests: devtools, Hmisc, knitr, pkgload, readr, readxl, rmarkdown, testthat, usethis, zen4R
VignetteBuilder: knitr
Imports: curl, dataverse, dplyr, gh, kableExtra, lifecycle, magrittr, methods, piggyback, purrr, rlang, rvest, stats, stringi, stringr, tibble, tidyRSS, tidyselect, tools, utils
Language: en-AU
NeedsCompilation: no
Packaged: 2024-09-30 02:48:40 UTC; mham0053
Author: Matthew Hamilton [aut, cre, cph] , Orygen [cph, fnd], Australian Government Research Training Program [fnd], VicHealth [fnd], Victoria University [fnd]
Maintainer: Matthew Hamilton <matthew.hamilton1@monash.edu>
Repository: CRAN
Date/Publication: 2024-09-30 07:10:02 UTC

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New package ModTools with initial version 0.9.13
Package: ModTools
Title: Building Regression and Classification Models
Version: 0.9.13
Date: 2024-09-25
Encoding: UTF-8
Description: Consistent user interface to the most common regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, complemented with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.
Depends: DescTools, MASS, nnet, survival, R (>= 3.5.0)
License: GPL (>= 2)
Suggests: VGAM
Imports: e1071, C50, rpart, randomForest, pROC, methods, relaimpo, rpart.plot, lattice, lmtest, car, robustbase, class, NeuralNetTools, naivebayes, sandwich, AER, boot, pscl
URL: https://andrisignorell.github.io/ModTools/, https://github.com/AndriSignorell/ModTools/
BugReports: https://github.com/AndriSignorell/ModTools/issues
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Packaged: 2024-09-29 19:45:48 UTC; andri
Author: Andri Signorell [aut, cre], Bernhard Compton [ctb], Marcel Dettling [ctb], Alexandre Hainard [ctb], Max Kuhn [ctb], Frederique Lisacek [ctb], Michal Majka [ctb], Markus Mueller [ctb], Dan Putler [ctb], Jean-Charles Sanchez [ctb], Natalia Tiberti [ctb] [...truncated...]
Maintainer: Andri Signorell <andri@signorell.net>
Repository: CRAN
Date/Publication: 2024-09-30 07:10:13 UTC

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Fri, 27 Sep 2024

New package antaresEditObject with initial version 0.7.1
Package: antaresEditObject
Title: Edit an 'Antares' Simulation
Version: 0.7.1
Description: Edit an 'Antares' simulation before running it : create new areas, links, thermal clusters or binding constraints or edit existing ones. Update 'Antares' general & optimization settings. 'Antares' is an open source power system generator, more information available here : <https://antares-simulator.org/>.
License: GPL (>= 2)
URL: https://github.com/rte-antares-rpackage/antaresEditObject, https://rte-antares-rpackage.github.io/antaresEditObject/
BugReports: https://github.com/rte-antares-rpackage/antaresEditObject/issues
Encoding: UTF-8
Depends: antaresRead (>= 2.4.2)
Imports: assertthat, cli, data.table, httr, grDevices, jsonlite, whisker, doParallel, doFuture, memuse, progressr, pbapply, parallel, future, plyr, yaml, lifecycle
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-27 09:22:50 UTC; berthetcle
Author: Tatiana Vargas [aut, cre], Frederic Breant [ctb], Victor Perrier [ctb], Baptiste Seguinot [ctb], Benoit Thieurmel [ctb], Titouan Robert [ctb], Jalal-Edine Zawam [ctb], Etienne Sanchez [ctb], Janus De Bondt [ctb], Assil Mansouri [ctb], Abdallah Mahoud [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>
Repository: CRAN
Date/Publication: 2024-09-27 15:00:14 UTC

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New package dotwhisker with initial version 0.8.3
Package: dotwhisker
Title: Dot-and-Whisker Plots of Regression Results
Version: 0.8.3
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>
Description: Create quick and easy dot-and-whisker plots of regression results. It takes as input either (1) a coefficient table in standard form or (2) one (or a list of) fitted model objects (of any type that has methods implemented in the 'parameters' package). It returns 'ggplot' objects that can be further customized using tools from the 'ggplot2' package. The package also includes helper functions for tasks such as rescaling coefficients or relabeling predictor variables. See more methodological discussion of the visualization and data management methods used in this package in Kastellec and Leoni (2007) <doi:10.1017/S1537592707072209> and Gelman (2008) <doi:10.1002/sim.3107>.
Encoding: UTF-8
URL: https://fsolt.org/dotwhisker/
BugReports: https://github.com/fsolt/dotwhisker/issues
Depends: R (>= 3.2.0), ggplot2 (>= 2.2.1),
Imports: grid, gtable, gridExtra, stats, parameters, performance, patchwork, dplyr, stringr, ggstance, rlang, purrr
Suggests: ordinal, tibble, knitr, rmarkdown, broom
License: MIT + file LICENSE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-27 00:21:51 UTC; HU Yue
Author: Frederick Solt [aut], Yue Hu [aut, cre], Ben Bolker [ctb], Os Keyes [ctb], Stefan Mueller [ctb], Thomas Leeper [ctb], Chris Wallace [ctb], Christopher Warshaw [ctb]
Repository: CRAN
Date/Publication: 2024-09-27 06:40:05 UTC

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New package arcgislayers with initial version 0.3.1
Package: arcgislayers
Title: An Interface to ArcGIS Data Services
Version: 0.3.1
Description: Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform' to read, write, publish, or manage vector and raster data via ArcGIS location services REST API endpoints <https://developers.arcgis.com/rest/>.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: arcgisutils (>= 0.2.0), arcpbf (>= 0.1.5), cli, httr2 (>= 1.0.5), jsonify, lifecycle, RcppSimdJson, rlang, sf, terra, utils
Suggests: dbplyr, dplyr, rmarkdown, testthat (>= 3.0.0), tidyselect, vctrs
URL: https://r.esri.com/arcgislayers/, https://github.com/R-ArcGIS/arcgislayers
BugReports: https://github.com/R-ArcGIS/arcgislayers/issues
NeedsCompilation: no
Packaged: 2024-09-26 23:33:00 UTC; josiahparry
Author: Josiah Parry [aut, cre] , Eli Pousson [ctb] , Kenneth Vernon [ctb] , Martha Bass [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-27 06:40:16 UTC

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Thu, 26 Sep 2024

New package NaileR with initial version 1.2.0
Package: NaileR
Title: Interpreting Latent Variables with AI
Version: 1.2.0
Description: A small package designed for interpreting continuous and categorical latent variables. You provide a data set with a latent variable you want to understand and some other explanatory variables. It provides a description of the latent variable based on the explanatory variables. It also provides a name to the latent variable.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, stringr, FactoMineR, glue, ollamar, magrittr, SensoMineR
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-24 08:56:40 UTC; sebastienle
Author: Nel Herve [aut], Sebastien Le [aut, cre]
Maintainer: Sebastien Le <sebastien.le@institut-agro.fr>
Repository: CRAN
Date/Publication: 2024-09-26 21:30:06 UTC

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New package GauPro with initial version 0.2.13
Package: GauPro
Title: Gaussian Process Fitting
Version: 0.2.13
Maintainer: Collin Erickson <collinberickson@gmail.com>
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
License: GPL-3
LinkingTo: Rcpp, RcppArmadillo
Imports: ggplot2, Rcpp, R6, lbfgs
Depends: mixopt (> 0.1.0), numDeriv, rmarkdown, tidyr
Suggests: ContourFunctions, dplyr, ggrepel, gridExtra, knitr, lhs, MASS, microbenchmark, rlang, splitfngr, testthat
VignetteBuilder: knitr
URL: https://github.com/CollinErickson/GauPro
BugReports: https://github.com/CollinErickson/GauPro/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-24 23:32:46 UTC; colli
Author: Collin Erickson [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-26 21:30:10 UTC

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New package erer with initial version 4.0
Package: erer
Title: Empirical Research in Economics with R
Version: 4.0
Date: 2024-09-25
Description: Several functions, datasets, and sample codes related to empirical research in economics are included. They cover the marginal effects for binary or ordered choice models, static and dynamic Almost Ideal Demand System (AIDS) models, and a typical event analysis in finance.
Depends: R (>= 3.0.0), lmtest
Imports: systemfit, tseries, urca
Suggests: MASS
License: GPL (>= 2)
LazyLoad: true
NeedsCompilation: no
Packaged: 2024-09-25 19:00:52 UTC; csun
Author: Changyou Sun [aut, cre]
Maintainer: Changyou Sun <edwinsun258@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-26 15:00:01 UTC

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New package shinyQueryBuilder with initial version 0.1.0
Package: shinyQueryBuilder
Title: Construct Complex Filtering Queries in 'Shiny'
Version: 0.1.0
Maintainer: Krystian Igras <krystian8207@gmail.com>
Description: Input widget that allows to construct complex filtering queries in 'Shiny'. It's a wrapper for 'JavaScript' library 'jQuery-QueryBuilder', check <https://querybuilder.js.org/>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: queryBuilder
Imports: rlang, R6, magrittr, jsonlite, htmltools, shiny, glue, purrr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-26 11:38:46 UTC; krystiai
Author: Krystian Igras [aut, cre], Damien Sorel [cph]
Repository: CRAN
Date/Publication: 2024-09-26 14:00:02 UTC

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New package gallery with initial version 1.0.0
Package: gallery
Title: Generate Test Matrices for Numerical Experiments
Version: 1.0.0
Maintainer: Thomas Hsiao <thomas.hsiao@emory.edu>
Description: Generates a variety of structured test matrices commonly used in numerical linear algebra and computational experiments. Includes well-known matrices for benchmarking and testing the performance, stability, and accuracy of linear algebra algorithms. Inspired by 'MATLAB' 'gallery' functions.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Matrix, pracma (>= 2.2.5)
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-09-25 23:29:40 UTC; thsiao3
Author: Thomas Hsiao [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-26 13:40:02 UTC

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New package centerline with initial version 0.1
Package: centerline
Title: Extract Centerline from Closed Polygons
Version: 0.1
Maintainer: Anatoly Tsyplenkov <atsyplenkov@fastmail.com>
Description: Generates skeletons of closed 2D polygons using Voronoi diagrams. It provides methods for 'sf', 'terra', and 'geos' objects to compute polygon centerlines based on the generated skeletons. Voronoi, G. (1908) <doi:10.1515/crll.1908.134.198>.
License: MIT + file LICENSE
URL: https://github.com/atsyplenkov/centerline
BugReports: https://github.com/atsyplenkov/centerline/issues
Suggests: smoothr (>= 1.0.0), testthat (>= 3.0.0), geomtextpath (>= 0.1.0), terra (>= 1.7), igraph (>= 2.0.0), ggplot2 (>= 3.1.0),
Imports: wk (>= 0.9), sf (>= 1.0), geos (>= 0.2.4), sfnetworks (>= 0.6)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-25 22:59:20 UTC; TsyplenkovA
Author: Anatoly Tsyplenkov [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-09-26 13:40:06 UTC

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New package ursa with initial version 3.11.1
Package: ursa
Title: Non-Interactive Spatial Tools for Raster Processing and Visualization
Version: 3.11.1
Author: Nikita Platonov [aut] , Nikita G. Platonov [cre]
Maintainer: Nikita G. Platonov <platonov@sev-in.ru>
Description: S3 classes and methods for manipulation with georeferenced raster data: reading/writing, processing, multi-panel visualization.
License: GPL (>= 2)
URL: https://github.com/nplatonov/ursa
BugReports: https://github.com/nplatonov/ursa/issues
Depends: R (>= 4.1.0)
Imports: utils, graphics, grDevices, stats, sf (>= 0.6-1)
Suggests: jsonlite, proj4, raster, ncdf4, locfit, knitr, rmarkdown, tcltk, sp, methods, fasterize, IRdisplay, caTools, shiny, tools, png, jpeg, webp, htmlwidgets, htmltools, leaflet, leafem, leafpop, RColorBrewer, ragg, widgetframe, geojsonsf (>= 2.0.0), leaflet.providers, magick, terra, stars, vapour, gdalraster, sys, RSQLite, whitebox
NeedsCompilation: yes
ByteCompile: no
Packaged: 2024-09-26 10:08:32 UTC; pl
Repository: CRAN
Date/Publication: 2024-09-26 11:30:02 UTC

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New package permutest with initial version 1.0.0
Package: permutest
Title: Run Permutation Tests and Construct Associated Confidence Intervals
Version: 1.0.0
Description: Implements permutation tests for any test statistic and randomization scheme and constructs associated confidence intervals as described in Glazer and Stark (2024) <doi:10.48550/arXiv.2405.05238>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-25 17:18:13 UTC; ag88343
Author: Amanda Glazer [aut, cre]
Maintainer: Amanda Glazer <amanda.glazer@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2024-09-26 11:20:02 UTC

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New package OmopSketch with initial version 0.1.0
Package: OmopSketch
Title: Characterise Tables of an OMOP Common Data Model Instance
Version: 0.1.0
Maintainer: Marta Alcalde-Herraiz <marta.alcaldeherraiz@ndorms.ox.ac.uk>
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
License: Apache License (>= 2)
Encoding: UTF-8
Suggests: CodelistGenerator, DBI, duckdb, flextable, gt, here, knitr, odbc, remotes, rmarkdown, RPostgres, testthat (>= 3.0.0), withr
Imports: CDMConnector (>= 1.3.0), cli, clock, CohortCharacteristics, CohortConstructor, dplyr, ggplot2, omock (>= 0.3.0), omopgenerics (>= 0.3.1), PatientProfiles, purrr, rlang, stringr, tibble, tidyr, visOmopResults (>= 0.4.0)
Depends: R (>= 2.10)
URL: https://OHDSI.github.io/OmopSketch/
BugReports: https://github.com/OHDSI/OmopSketch/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-25 17:07:53 UTC; martaa
Author: Marta Alcalde-Herraiz [aut, cre] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Edward Burn [aut] , Marti Catala [aut]
Repository: CRAN
Date/Publication: 2024-09-26 11:20:10 UTC

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New package kernstadapt with initial version 0.4.0
Package: kernstadapt
Title: Adaptive Kernel Estimators for Point Process Intensities on Linear Networks
Version: 0.4.0
Maintainer: Jonatan A Gonzalez <jonathan.gonzalez@kaust.edu.sa>
Description: Adaptive estimation of the first-order intensity function of a spatio-temporal point process using kernels and variable bandwidths. The methodology used for estimation is presented in González and Moraga (2022). <doi:10.48550/arXiv.2208.12026>.
License: MIT + file LICENSE
Language: en-GB
Encoding: UTF-8
Imports: misc3d, sparr, spatstat.explore, spatstat.univar, spatstat.geom, spatstat.random, spatstat.utils, spatstat.linnet
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2024-09-25 17:59:15 UTC; jmonsalv
Author: Jonatan A Gonzalez [aut, cre] , Paula Moraga [aut]
Repository: CRAN
Date/Publication: 2024-09-26 11:20:05 UTC

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New package hubEnsembles with initial version 0.1.8
Package: hubEnsembles
Title: Ensemble Methods for Combining Hub Model Outputs
Version: 0.1.8
Description: Functions for combining model outputs (e.g. predictions or estimates) from multiple models into an aggregated ensemble model output.
License: MIT + file LICENSE
URL: https://github.com/hubverse-org/hubEnsembles, https://hubverse-org.github.io/hubEnsembles/
BugReports: https://github.com/hubverse-org/hubEnsembles/issues
Depends: R (>= 4.1)
Imports: cli, distfromq (>= 1.0.2), dplyr, hubUtils (>= 0.0.1), matrixStats, purrr, rlang, stats, tidyr, tidyselect
Suggests: cowplot, ggplot2, hubExamples, hubVis (>= 0.0.0.9100), knitr, rmarkdown, testthat (>= 3.0.0)
Additional_repositories: https://hubverse-org.r-universe.dev/
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-25 17:55:28 UTC; lshandross
Author: Evan L Ray [aut], Li Shandross [aut, cre] , Emily Howerton [aut] , Anna Krystalli [ctb] , Zhian N. Kamvar [ctb] , Nicholas G. Reich [ctb] , Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Li Shandross <lshandross@umass.edu>
Repository: CRAN
Date/Publication: 2024-09-26 11:40:02 UTC

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New package dfr with initial version 0.1.0
Package: dfr
Title: Dual Feature Reduction for SGL
Version: 0.1.0
Date: 2024-09-25
Maintainer: Fabio Feser <ff120@ic.ac.uk>
Description: Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.
Imports: sgs, caret, methods, stats, grDevices, graphics, faux, Matrix
Suggests: SGL, gglasso, glmnet, testthat
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ff1201/dfr
BugReports: https://github.com/ff1201/dfr/issues
NeedsCompilation: no
Packaged: 2024-09-25 15:33:48 UTC; ff120
Author: Fabio Feser [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-26 11:10:02 UTC

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New package mcprogress with initial version 0.1.1
Package: mcprogress
Title: Progress Bars and Messages for Parallel Processes
Version: 0.1.1
Description: Tools for monitoring progress during parallel processing. Lightweight package which acts as a wrapper around mclapply() and adds a progress bar to it in 'RStudio' or 'Linux' environments. Simply replace your original call to mclapply() with pmclapply(). A progress bar can also be displayed during parallelisation via the 'foreach' package. Also included are functions to safely print messages (including error messages) from within parallelised code, which can be useful for debugging parallelised R code.
BugReports: https://github.com/myles-lewis/mcprogress/issues
URL: https://github.com/myles-lewis/mcprogress
License: GPL (>= 3)
Encoding: UTF-8
Imports: parallel
Suggests: knitr, rmarkdown, rstudioapi
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-25 13:51:23 UTC; myles
Author: Myles Lewis [aut, cre]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>
Repository: CRAN
Date/Publication: 2024-09-26 11:00:02 UTC

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New package mafR with initial version 1.1.6
Package: mafR
Title: Interface for Masked Autoregressive Flows
Description: Interfaces the Python library 'zuko' implementing Masked Autoregressive Flows. See Rozet, Divo and Schnake (2023) <doi:10.5281/zenodo.7625672> and Papamakarios, Pavlakou and Murray (2017) <doi:10.48550/arXiv.1705.07057>.
Encoding: UTF-8
Version: 1.1.6
Date: 2024-09-25
Imports: reticulate
Depends: R (>= 3.6.0)
License: GPL (>= 2)
ByteCompile: true
URL: https://github.com/f-rousset/mafR
NeedsCompilation: no
Packaged: 2024-09-25 12:02:16 UTC; francois.rousset
Author: Jean-Michel Marin [aut, cph], Francois Rousset [aut, cre, cph]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>
Repository: CRAN
Date/Publication: 2024-09-26 10:50:03 UTC

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New package CCd with initial version 1.0
Package: CCd
Title: The Cauchy-Cacoullos (Discrete Cauchy) Distribution
Version: 1.0
Date: 2024-09-25
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Description: Maximum likelihood estimation of the Cauchy-Cacoullos (discrete Cauchy) distribution. Probability mass, distribution and quantile function are also included. The reference paper is: Papadatos N. (2022). "The Characteristic Function of the Discrete Cauchy Distribution in Memory of T. Cacoullos". Journal of Statistical Theory Practice, 16(3): 47. <doi:10.1007/s42519-022-00268-6>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-09-25 11:39:50 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-09-26 10:50:12 UTC

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Wed, 25 Sep 2024

New package leidenbase with initial version 0.1.31
Package: leidenbase
Title: R and C/C++ Wrappers to Run the Leiden find_partition() Function
Version: 0.1.31
Description: An R to C/C++ interface that runs the Leiden community detection algorithm to find a basic partition (). It runs the equivalent of the 'leidenalg' find_partition() function, which is given in the 'leidenalg' distribution file 'leiden/src/functions.py'. This package includes the required source code files from the official 'leidenalg' distribution and functions from the R 'igraph' package. The 'leidenalg' distribution is available from <https://github.com/vtraag/leidenalg/> and the R 'igraph' package is available from <https://igraph.org/r/>. The Leiden algorithm is described in the article by Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>. Leidenbase includes code from the packages: igraph version 0.9.8 with license GPL (>= 2), leidenalg version 0.8.10 with license GPL 3.
Imports: igraph (>= 0.9.0)
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: rmarkdown, knitr, testthat (>= 3.1.0), pandoc
URL: https://github.com/cole-trapnell-lab/leidenbase
BugReports: https://github.com/cole-trapnell-lab/leidenbase/issues
NeedsCompilation: yes
Maintainer: Brent Ewing <bge@uw.edu>
VignetteBuilder: knitr
Packaged: 2024-09-25 22:26:03 UTC; brent
Author: Brent Ewing [aut, cre], Vincent Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Szabolcs Horvat [ctb], Fabio Zanini [ctb]
Repository: CRAN
Date/Publication: 2024-09-25 23:10:02 UTC

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New package xmlwriter with initial version 0.1.1
Package: xmlwriter
Title: Fast and Elegant XML Generation
Version: 0.1.1
Description: Provides a fast and elegant interface for generating XML fragments and documents. It can be used in companion with R packages 'XML' or 'xml2' to generate XML documents. The fast XML generation is implemented using the 'Rcpp' package.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: xml2, tinytest
URL: https://edwindj.github.io/xmlwriter/
NeedsCompilation: yes
Packaged: 2024-09-25 07:05:36 UTC; edwin
Author: Edwin de Jonge [aut, cre]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-25 10:20:03 UTC

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New package SSNbler with initial version 1.0.1
Package: SSNbler
Title: Assemble 'SSN' Objects
Version: 1.0.1
Description: Import, create and assemble data needed to fit spatial-statistical stream-network models using the 'SSN2' package for 'R'. Streams, observations, and prediction locations are represented as simple features and specific tools provided to define topological relationships between features; calculate the hydrologic distances (with flow-direction preserved) and the spatial additive function used to weight converging stream segments; and export the topological, spatial, and attribute information to an `SSN` (spatial stream network) object, which can be efficiently stored, accessed and analysed in 'R'. A detailed description of methods used to calculate and format the spatial data can be found in Peterson, E.E. and Ver Hoef, J.M., (2014) <doi:10.18637/jss.v056.i02>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: sf, dplyr, pdist, stats, utils, igraph, RSQLite, withr, SSN2
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/pet221/SSNbler
BugReports: https://github.com/pet221/SSNbler/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-25 05:58:30 UTC; erin
Author: Erin Peterson [aut, cre] , Michael Dumelle [aut] , Alan Pearse [aut] , Dan Teleki [ctb], Jay M. Ver Hoef [ctb]
Maintainer: Erin Peterson <erin@peterson-consulting.com>
Repository: CRAN
Date/Publication: 2024-09-25 10:20:12 UTC

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New package IJSE with initial version 0.1.0
Package: IJSE
Title: Infinite-Jackknife-Based Standard Errors for 'brms' Models
Version: 0.1.0
Description: Provides a function to calculate infinite-jackknife-based standard errors for fixed effects parameters in 'brms' models, handling both clustered and non-clustered data. References: Ji et al. (2024) <doi:10.48550/arXiv.2407.09772>; Giordano et al. (2024) <doi:10.48550/arXiv.2305.06466>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: brms, posterior
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-24 20:45:22 UTC; jifeng3
Author: Feng Ji [aut, cre]
Maintainer: Feng Ji <f.ji@utoronto.ca>
Repository: CRAN
Date/Publication: 2024-09-25 10:10:07 UTC

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New package baclava with initial version 1.0
Package: baclava
Title: Bayesian Analysis of Cancer Latency with Auxiliary Variable Augmentation
Version: 1.0
Date: 2024-09-24
Description: A novel data-augmentation Markov chain Monte Carlo sampling algorithm to fit a progressive compartmental model of disease in a Bayesian framework Morsomme, R.N., Holloway, S.T., Ryser, M.D. and Xu J. (2024) <doi:10.48550/arXiv.2408.14625>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppNumerical, ggplot2, coda, dplyr, stats, tibble, tidyr, foreach, doParallel
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Encoding: UTF-8
NeedsCompilation: yes
LazyData: true
Suggests: rmarkdown, knitr
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
Author: Raphael N. Morsomme [aut], Shannon T. Holloway [aut, cre], Jason Xu [ctb], Marc D. Ryser [ctb]
Packaged: 2024-09-24 20:45:52 UTC; sth45
Repository: CRAN
Date/Publication: 2024-09-25 10:10:03 UTC

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New package rix with initial version 0.12.1
Package: rix
Title: Reproducible Data Science Environments with 'Nix'
Version: 0.12.1
Description: Simplifies the creation of reproducible development environments using the 'Nix' package manager. The included `rix()` function generates a complete description of the development environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
License: GPL (>= 3)
URL: https://docs.ropensci.org/rix/
BugReports: https://github.com/ropensci/rix/issues
Depends: R (>= 2.10)
Imports: codetools, curl, jsonlite, sys, utils
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-24 19:15:07 UTC; b-rodrigues
Author: Bruno Rodrigues [aut, cre] , Philipp Baumann [aut] , David Watkins [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>), Jacob Wujiciak-Jens [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/62 [...truncated...]
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>
Repository: CRAN
Date/Publication: 2024-09-25 10:00:02 UTC

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New package maxaltall with initial version 0.1.0
Package: maxaltall
Title: 'FASTA' ML and ‘altall’ Sequences from IQ-TREE .state Files
Version: 0.1.0
Maintainer: Philip D. Kiser <pkiser@uci.edu>
Description: Takes a .state file generated by IQ-TREE as an input and, for each ancestral node present in the file, generates a FASTA-formatted maximum likelihood (ML) sequence as well as an ‘AltAll’ sequence in which uncertain sites, determined by the two parameters thres_1 and thres_2, have the maximum likelihood state swapped with the next most likely state as described in Geeta N. Eick, Jamie T. Bridgham, Douglas P. Anderson, Michael J. Harms, and Joseph W. Thornton (2017), "Robustness of Reconstructed Ancestral Protein Functions to Statistical Uncertainty" <doi:10.1093/molbev/msw223>.
License: GPL (>= 3)
Imports: data.table, dplyr, magrittr, tidyr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-24 13:54:18 UTC; Philip Kiser
Author: Alec S. Chu [aut], Philip D. Kiser [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-25 09:30:02 UTC

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New package arrg with initial version 0.1.0
Package: arrg
Version: 0.1.0
Date: 2024-09-23
Title: Flexible Argument Parsing for R Scripts
Imports: ore
Suggests: tinytest, covr
Description: Argument parsing for R scripts, with support for long and short Unix-style options including option clustering, positional arguments including those of variable length, and multiple usage patterns which may take different subsets of options.
Encoding: UTF-8
License: GPL-2
URL: https://github.com/jonclayden/arrg
BugReports: https://github.com/jonclayden/arrg/issues
NeedsCompilation: no
Packaged: 2024-09-24 15:47:16 UTC; jon
Author: Jon Clayden [cre, aut]
Maintainer: Jon Clayden <code@clayden.org>
Repository: CRAN
Date/Publication: 2024-09-25 09:50:02 UTC

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New package roundwork with initial version 0.0.1
Package: roundwork
Title: Rounding Infrastructure
Version: 0.0.1
Description: Flexible rounding functions for use in error detection. They were outsourced from the 'scrutiny' package.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: conflicted, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cli, dplyr, magrittr, purrr, rlang, stringr, tibble
URL: https://lhdjung.github.io/roundwork/, https://github.com/lhdjung/roundwork/
BugReports: https://github.com/lhdjung/roundwork/issues
NeedsCompilation: no
Packaged: 2024-09-23 22:45:24 UTC; lukas
Author: Lukas Jung [aut, cre]
Maintainer: Lukas Jung <jung-lukas@gmx.net>
Repository: CRAN
Date/Publication: 2024-09-25 08:30:01 UTC

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New package rafsi with initial version 0.0.2
Package: rafsi
Title: Ranking of Alternatives with the RAFSI Method
Version: 0.0.2
Description: Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval Method is designed to perform multi-criteria decision-making (MCDM), developed by Mališa Žižovic in 2020 (<doi:10.3390/math8061015>). It calculates the final sorted rankings based on a decision matrix where rows represent alternatives and columns represent criteria. The method uses: - A numeric vector of weights for each criterion (the sum of weights must be 1). - A numeric vector of ideal values for each criterion. - A numeric vector of anti-ideal values for each criterion. - Numeric values representing the extent to which the ideal value is preferred over the anti-ideal value, and the extent to which the anti-ideal value is considered worse. The function standardizes the decision matrix, normalizes the data, applies weights, and returns the final sorted rankings.
Language: en-US
Depends: R (>= 4.2.0)
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 18:14:41 UTC; Usuario
Author: Mateus Vanzetta [aut, cre], Marcos Santos [ctb]
Maintainer: Mateus Vanzetta <mateusvanzetta@id.uff.br>
Repository: CRAN
Date/Publication: 2024-09-25 08:10:02 UTC

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New package Path.Analysis with initial version 0.1
Package: Path.Analysis
Title: Path Coefficient Analysis
Version: 0.1
Date: 2024-9-12.
Author: Ali Arminian [aut, cre, cph]
Maintainer: Ali Arminian <abeyran@gmail.com>
Description: Facilitates the performance of several analyses, including simple and sequential path coefficient analysis, correlation estimate, drawing correlogram, Heatmap, and path diagram. When working with raw data, that includes one or more dependent variables along with one or more independent variables are available, the path coefficient analysis can be conducted. It allows for testing direct effects, which can be a vital indicator in path coefficient analysis. The process of preparing the dataset rule is explained in detail in the vignette file "Path.Analysis_manual.Rmd". You can find this in the folders labelled "data" and "~/inst/extdata". Also see: 1)the 'lavaan', 2)a sample of sequential path analysis in 'metan' suggested by Olivoto and Lúcio (2020) <doi:10.1111/2041-210X.13384>, 3)the simple 'PATHSAS' macro written in 'SAS' by Cramer et al. (1999) <doi:10.1093/jhered/90.1.260>, and 4)the semPlot() function of 'OpenMx' as initial tools for conducting path coefficient analyses [...truncated...]
License: GPL-3
URL: https://github.com/abeyran/Path.Analysis
BugReports: https://github.com/abeyran/Path.Analysis/issues
Depends: R (>= 4.1.0)
Imports: stats, corrr, corrplot, Hmisc, gplots, mathjaxr, pastecs, graphics, grDevices, DiagrammeR, ComplexHeatmap, metan
Suggests: car, ggplot2, devtools, usethis, testthat, knitr, rmarkdown, roxygen2, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Copyright: Ali Arminian
Language: en-US
LazyData: true
LazyLoad: true
NeedsCompilation: no
BuildManual: TRUE
Packaged: 2024-09-23 19:30:28 UTC; Administrator
Repository: CRAN
Date/Publication: 2024-09-25 08:20:05 UTC

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New package markowitz with initial version 0.1.0
Package: markowitz
Title: Markowitz Criterion
Version: 0.1.0
Maintainer: Luana Oliveira <luana.azevedo.oliveira.2022@gmail.com>
Description: The Markowitz criterion is a multicriteria decision-making method that stands out in risk and uncertainty analysis in contexts where probabilities are known. This approach represents an evolution of Pascal's criterion by incorporating the dimension of variability. In this framework, the expected value reflects the anticipated return, while the standard deviation serves as a measure of risk. The 'markowitz' package provides a practical and accessible tool for implementing this method, enabling researchers and professionals to perform analyses without complex calculations. Thus, the package facilitates the application of the Markowitz criterion. More details on the method can be found in Octave Jokung-Nguéna (2001, ISBN 2100055372).
URL: https://github.com/luana1909/Markowitiz
Imports: dplyr, tidyr, magrittr, tidyverse
Language: en-US
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-23 23:19:00 UTC; Luana de Azevedo
Author: Luana Oliveira [aut, cre], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2024-09-25 08:30:05 UTC

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New package LearnVizLMM with initial version 1.0.0
Package: LearnVizLMM
Title: Learning and Communicating Linear Mixed Models Without Data
Version: 1.0.0
Description: Summarizes characteristics of linear mixed effects models without data or a fitted model by converting code for fitting lmer() from 'lme4' and lme() from 'nlme' into tables, equations, and visuals. Outputs can be used to learn how to fit linear mixed effects models in 'R' and to communicate about these models in presentations, manuscripts, and analysis plans.
URL: https://github.com/kzavez/LearnVizLMM
BugReports: https://github.com/kzavez/LearnVizLMM/issues
License: GPL (>= 3)
Encoding: UTF-8
Imports: cli, DiagrammeR, DiagrammeRsvg, dplyr, rsvg, stringr
Suggests: kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 20:04:30 UTC; kathe
Author: Katherine Zavez [aut, cre], Ofer Harel [aut]
Maintainer: Katherine Zavez <Katherine.Zavez@uconn.edu>
Repository: CRAN
Date/Publication: 2024-09-25 08:30:08 UTC

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New package fucom with initial version 0.0.2
Package: fucom
Title: Full Consistency Method (FUCOM)
Version: 0.0.2
Description: Full Consistency Method (FUCOM) for multi-criteria decision-making (MCDM), developed by Dragam Pamucar in 2018 (<doi:10.3390/sym10090393>). The goal of the method is to determine the weights of criteria such that the deviation from full consistency is minimized. Users provide a character vector specifying the ranking of each criterion according to its significance, starting from the criterion expected to have the highest weight to the least significant one. Additionally, users provide a numeric vector specifying the priority values for each criterion. The comparison is made with respect to the first-ranked (most significant) criterion. The function returns the optimized weights for each criterion (summing to 1), the comparative priority (Phi) values, the mathematical transitivity condition (w) value, and the minimum deviation from full consistency (DFC).
Language: en-US
Depends: R (>= 4.2.0)
License: GPL (>= 3)
Imports: nloptr, stats
Encoding: UTF-8
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 18:37:47 UTC; Usuario
Author: Mateus Vanzetta [aut, cre], Marcos Santos [ctb]
Maintainer: Mateus Vanzetta <mateusvanzetta@id.uff.br>
Repository: CRAN
Date/Publication: 2024-09-25 08:20:02 UTC

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New package EFAfactors with initial version 1.0.0
Package: EFAfactors
Title: Determining the Number of Factors in Exploratory Factor Analysis
Version: 1.0.0
Date: 2024-09-03
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: Provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and F [...truncated...]
License: GPL-3
Depends: R (>= 4.1.0)
Imports: BBmisc, ddpcr, ineq, MASS, Matrix, mlr, ParamHelpers, proxy, psych, ranger, reticulate, Rcpp, RcppArmadillo, SimCorMultRes, xgboost
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Packaged: 2024-09-24 07:59:15 UTC; Haiji
Author: Haijiang Qin [aut, cre, cph], Lei Guo [aut, cph]
Date/Publication: 2024-09-25 08:50:02 UTC

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Tue, 24 Sep 2024

New package AquaBEHER with initial version 1.4.0
Package: AquaBEHER
Title: Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture
Version: 1.4.0
Author: Robel Takele [aut, cre] , Matteo Dell'Acqua [aut, ctb]
Maintainer: Robel Takele <takelerobel@gmail.com>
Description: Computes and integrates daily potential evapotranspiration (PET) and a soil water balance model. It allows users to estimate and predict the wet season calendar, including onset, cessation, and duration, based on an agroclimatic approach for a specified period. This functionality helps in managing agricultural water resources more effectively. For detailed methodologies, users can refer to Allen et al. (1998, ISBN:92-5-104219-5); Allen (2005, ISBN:9780784408056); Doorenbos and Pruitt (1975, ISBN:9251002797); Guo et al. (2016) <doi:10.1016/j.envsoft.2015.12.019>; Hargreaves and Samani (1985) <doi:10.13031/2013.26773>; Priestley and Taylor (1972) <https://journals.ametsoc.org/view/journals/apme/18/7/1520-0450_1979_018_0898_tptema_2_0_co_2.xml>.
License: GPL (>= 3)
URL: https://github.com/RobelTakele/AquaBEHER, https://robeltakele.github.io/AquaBEHER/
BugReports: https://github.com/RobelTakele/AquaBEHER/issues
Depends: R (>= 3.5.0)
Imports: dplyr, lubridate, magrittr, rlang, sp, terra, zoo
Suggests: ggplot2, ggrepel, knitr, learnr, prettydoc, rmarkdown, scales, stringr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-24 16:55:30 UTC; robel
Repository: CRAN
Date/Publication: 2024-09-24 22:10:05 UTC

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New package queryBuilder with initial version 0.1.0
Package: queryBuilder
Title: Programmatic Way to Construct Complex Filtering Queries
Version: 0.1.0
Maintainer: Krystian Igras <krystian8207@gmail.com>
Description: Syntax for defining complex filtering expressions in a programmatic way. A filtering query, built as a nested list configuration, can be easily stored in other formats like 'YAML' or 'JSON'. What's more, it's possible to convert such configuration to a valid expression that can be applied to popular 'dplyr' package operations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: utils, magrittr, rlang, dplyr, glue, purrr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 13:54:55 UTC; krystiai
Author: Krystian Igras [aut, cre], Damien Sorel [cph]
Repository: CRAN
Date/Publication: 2024-09-24 19:10:02 UTC

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New package geocomplexity with initial version 0.1.0
Package: geocomplexity
Title: Mitigating Spatial Bias Through Geographical Complexity
Version: 0.1.0
Description: The geographical complexity of individual variables can be characterized by the differences in local attribute variables, while the common geographical complexity of multiple variables can be represented by fluctuations in the similarity of vectors composed of multiple variables. In spatial regression tasks, the goodness of fit can be improved by incorporating a geographical complexity representation vector during modeling, using a geographical complexity-weighted spatial weight matrix, or employing local geographical complexity kernel density. Similarly, in spatial sampling tasks, samples can be selected more effectively by using a method that weights based on geographical complexity. By optimizing performance in spatial regression and spatial sampling tasks, the spatial bias of the model can be effectively reduced.
License: GPL-3
Encoding: UTF-8
URL: https://ausgis.github.io/geocomplexity/, https://github.com/ausgis/geocomplexity
BugReports: https://github.com/ausgis/geocomplexity/issues
Depends: R (>= 4.1.0)
Imports: dplyr, magrittr, pander, purrr, sdsfun, sf, stats, terra, tibble
Suggests: ggplot2, knitr, Rcpp, RcppArmadillo, rmarkdown, tidyverse, viridis
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-09-23 15:39:02 UTC; dell
Author: Wenbo Lv [aut, cre, cph] , Yongze Song [aut, ths]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-24 19:10:06 UTC

More information about geocomplexity at CRAN
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New package do3PCA with initial version 1.0.0
Package: do3PCA
Title: Probabilistic Phylogenetic Principal Component Analysis
Version: 1.0.0
Description: Estimates probabilistic phylogenetic Principal Component Analysis (PCA) and non-phylogenetic probabilistic PCA. Provides methods to implement alternative models of trait evolution including Brownian motion (BM), Ornstein-Uhlenbeck (OU), Early Burst (EB), and Pagel's lambda. Also provides flexible biplot functions.
License: GPL (>= 2.0)
Encoding: UTF-8
Depends: R (>= 3.5.0), Rdimtools
Imports: ape, phytools, matrixcalc, mclust, nloptr, ratematrix, stats, utils
NeedsCompilation: no
Packaged: 2024-09-23 15:42:47 UTC; daniel
Author: Daniel Caetano [aut, cre]
Maintainer: Daniel Caetano <caetanods1@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-24 19:10:10 UTC

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New package paleopop with initial version 2.1.6
Package: paleopop
Title: Pattern-Oriented Modeling Framework for Coupled Niche-Population Paleo-Climatic Models
Version: 2.1.6
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>
URL: https://github.com/GlobalEcologyLab/paleopop/
BugReports: https://github.com/GlobalEcologyLab/paleopop/issues
Description: This extension of the poems pattern-oriented modeling (POM) framework provides a collection of modules and functions customized for paleontological time-scales, and optimized for single-generation transitions and large populations, across multiple generations.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
Language: en_AU
LazyData: true
Imports: poems (>= 1.0.0), R6 (>= 2.5.0), sf (>= 0.9), trend (>= 1.1.4)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, markdown, dplyr, raster
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 14:40:27 UTC; caryinstitute
Author: Sean Haythorne [aut], July Pilowsky [aut, cre] , Stuart Brown [aut] , Damien Fordham [aut]
Repository: CRAN
Date/Publication: 2024-09-24 19:00:02 UTC

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New package fctutils with initial version 0.0.6
Package: fctutils
Title: Advanced Factor Manipulation Utilities
Version: 0.0.6
Maintainer: Kai Guo <guokai8@gmail.com>
Description: Provides a collection of utility functions for manipulating and analyzing factor vectors in R. It offers tools for filtering, splitting, combining, and reordering factor levels based on various criteria. The package is designed to simplify common tasks in categorical data analysis, making it easier to work with factors in a flexible and efficient manner.
License: GPL-3
Imports: stringr, stringdist, utils, stats
Encoding: UTF-8
Suggests: markdown,rmarkdown,knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 13:14:20 UTC; bioguo
Author: Kai Guo [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-24 19:00:06 UTC

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New package ChestVolume with initial version 1.0.0
Package: ChestVolume
Title: Estimate the Chest Volume with Markers Data
Version: 1.0.0
Maintainer: Wai-Hang Kwong <wai-hang.kwong@polyu.edu.hk>
Description: Provides tools to process and analyze chest expansion using 3D marker data from motion capture systems. Includes functions for data processing, marker position adjustment, volume calculation using convex hulls, and visualization in 2D and 3D. Barber et al. (1996) <doi:10.1145/235815.235821>. TAMIYA Hiroyuki et al. (2021) <doi:10.1038/s41598-021-01033-8>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: readxl, dplyr, tidyr, geometry, ggplot2, plotly
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-23 15:27:35 UTC; user
Author: Wai-Hang Kwong [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-24 19:00:11 UTC

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Mon, 23 Sep 2024

New package optRF with initial version 1.0.1
Package: optRF
Title: Optimising Random Forest Stability Through Selection of the Optimal Number of Trees
Version: 1.0.1
Maintainer: Thomas Martin Lange <thomas.lange@uni-goettingen.de>
Description: Calculating the stability of random forest with certain numbers of trees. The non-linear relationship between stability and numbers of trees is described using a logistic regression model and used to estimate the optimal number of trees.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.2), minpack.lm (>= 1.2-4), ranger (>= 0.16.0), irr (>= 0.84.1)
Imports: graphics, methods, stats
Suggests: covr, spelling, testthat
NeedsCompilation: no
Packaged: 2024-09-23 08:22:14 UTC; thoma
Author: Thomas Martin Lange [cre, aut] , Felix Heinrich [ctb]
Repository: CRAN
Date/Publication: 2024-09-23 14:10:02 UTC

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New package SurvMA with initial version 1.6.8
Package: SurvMA
Title: Model Averaging Prediction of Personalized Survival Probabilities
Version: 1.6.8
Author: Mengyu Li [aut, cre] , Jie Ding [aut] , Xiaoguang Wang [aut]
Maintainer: Mengyu Li <mylilucky@163.com>
Description: Provide model averaging-based approaches that can be used to predict personalized survival probabilities. The key underlying idea is to approximate the conditional survival function using a weighted average of multiple candidate models. Two scenarios of candidate models are allowed: (Scenario 1) partial linear Cox model and (Scenario 2) time-varying coefficient Cox model. A reference of the underlying methods is Li and Wang (2023) <doi:10.1016/j.csda.2023.107759>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: survival, maxLik, pec, quadprog, splines, methods
LazyData: TRUE
URL: <https://github.com/Stat-WangXG/SurvMA>
NeedsCompilation: no
Packaged: 2024-09-22 08:14:28 UTC; biost
Repository: CRAN
Date/Publication: 2024-09-23 13:40:43 UTC

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New package shinycroneditor with initial version 1.0.0
Package: shinycroneditor
Title: 'shiny' Cron Expression Input Widget
Version: 1.0.0
Description: A widget for 'shiny' apps to handle schedule expression input, using the 'cron-expression-input' JavaScript component. Note that this does not edit the 'crontab' file, it is just an input element for the schedules. See <https://github.com/DatalabFabriek/shinycroneditor/blob/main/inst/examples/shiny-app.R> for an example implementation.
Imports: htmltools, htmlwidgets
Suggests: shiny
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-20 15:15:23 UTC; veer
Author: Harmen van der Veer [aut, cre]
Maintainer: Harmen van der Veer <harmen@datalab.nl>
Repository: CRAN
Date/Publication: 2024-09-23 13:00:06 UTC

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New package rtabulator with initial version 0.1.2
Package: rtabulator
Title: R Bindings for 'Tabulator JS'
Version: 0.1.2
Date: 2024-09-22
Maintainer: Stefan Kuethe <crazycapivara@gmail.com>
Description: Provides R bindings for 'Tabulator JS' <https://tabulator.info/>. Makes it a breeze to create highly customizable interactive tables in 'rmarkdown' documents and 'shiny' applications. It includes filtering, grouping, editing, input validation, history recording, column formatters, packaged themes and more.
URL: https://github.com/eodaGmbH/rtabulator https://eodagmbh.github.io/rtabulator/
BugReports: https://github.com/eodaGmbH/rtabulator/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glue, htmltools, htmlwidgets, purrr, readr, shiny
NeedsCompilation: no
Packaged: 2024-09-22 12:32:14 UTC; stefan
Author: Stefan Kuethe [aut, cre, cph], Nico Friess [aut], Oli Folkerd [cph]
Repository: CRAN
Date/Publication: 2024-09-23 13:40:04 UTC

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New package robustarima with initial version 0.2.7
Package: robustarima
Title: Robust ARIMA Modeling
Imports: methods, splusTimeDate, splusTimeSeries
Version: 0.2.7
Description: Functions for fitting a linear regression model with ARIMA errors using a filtered tau-estimate. The methodology is described in Maronna et al (2017, ISBN:9781119214687).
License: BSD_3_clause + file LICENSE
URL: https://github.com/spkaluzny/robustarima
BugReports: https://github.com/spkaluzny/robustarima/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-20 23:35:56 UTC; spk
Author: Stephen Kaluzny [aut, cre], Bill Dunlap [ctb], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-23 13:30:03 UTC

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New package NPCDTools with initial version 1.0
Package: NPCDTools
Title: The Nonparametric Classification Methods for Cognitive Diagnosis
Version: 1.0
Description: Statistical tools for analyzing cognitive diagnosis (CD) data collected from small settings using the nonparametric classification (NPCD) framework. The core methods of the NPCD framework includes the nonparametric classification (NPC) method developed by Chiu and Douglas (2013) <DOI:10.1007/s00357-013-9132-9> and the general NPC (GNPC) method developed by Chiu, Sun, and Bian (2018) <DOI:10.1007/s11336-017-9595-4> and Chiu and Köhn (2019) <DOI:10.1007/s11336-019-09660-x>. An extension of the NPCD framework included in the package is the nonparametric method for multiple-choice items (MC-NPC) developed by Wang, Chiu, and Koehn (2023) <DOI:10.3102/10769986221133088>. Functions associated with various extensions concerning the evaluation, validation, and feasibility of the CD analysis are also provided. These topics include the completeness of Q-matrix, Q-matrix refinement method, as well as Q-matrix estimation.
License: GPL-3
Encoding: UTF-8
Imports: GDINA, NPCD, psych, SimDesign, stats, utils, gtools
NeedsCompilation: no
Packaged: 2024-09-20 14:28:22 UTC; weixuan
Author: Chia-Yi Chiu [aut, cph], Weixuan Xiao [aut, cre], Xiran Wen [aut], Yu Wang [aut]
Maintainer: Weixuan Xiao <wx2299@tc.columbia.edu>
Repository: CRAN
Date/Publication: 2024-09-23 13:01:53 UTC

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New package maxent.ot with initial version 1.0.0
Package: maxent.ot
Title: Perform Phonological Analyses using Maximum Entropy Optimality Theory
Version: 1.0.0
Description: Fit Maximum Entropy Optimality Theory models to data sets, generate the predictions made by such models for novel data, and compare the fit of different models using a variety of metrics. The package is described in Mayer, C., Tan, A., Zuraw, K. (in press) <https://sites.socsci.uci.edu/~cjmayer/papers/cmayer_et_al_maxent_ot_accepted.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
URL: https://github.com/connormayer/maxent.ot
BugReports: https://github.com/connormayer/maxent.ot/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-20 16:15:22 UTC; conno
Author: Connor Mayer [aut, cre], Kie Zuraw [aut], Adeline Tan [aut]
Maintainer: Connor Mayer <cjmayer@uci.edu>
Repository: CRAN
Date/Publication: 2024-09-23 13:10:04 UTC

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New package GPTreeO with initial version 1.0.0
Package: GPTreeO
Title: Dividing Local Gaussian Processes for Online Learning Regression
Version: 1.0.0
Maintainer: Timo Braun <gptreeo.timo.braun@gmail.com>
Description: We implement and extend the Dividing Local Gaussian Process algorithm by Lederer et al. (2020) <doi:10.48550/arXiv.2006.09446>. Its main use case is in online learning where it is used to train a network of local GPs (referred to as tree) by cleverly partitioning the input space. In contrast to a single GP, 'GPTreeO' is able to deal with larger amounts of data. The package includes methods to create the tree and set its parameter, incorporating data points from a data stream as well as making joint predictions based on all relevant local GPs.
License: MIT + file LICENSE
Imports: R6, hash, DiceKriging, mlegp
Suggests: knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-22 08:28:40 UTC; traschpanda
Author: Timo Braun [aut, cre], Anders Kvellestad [aut] , Riccardo De Bin [ctb]
Repository: CRAN
Date/Publication: 2024-09-23 13:40:58 UTC

More information about GPTreeO at CRAN
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New package GPCsign with initial version 0.1.0
Package: GPCsign
Title: Gaussian Process Classification as Described in Bachoc et al. (2020)
Version: 0.1.0
Description: Parameter estimation and prediction of Gaussian Process Classifier models as described in Bachoc et al. (2020) <doi:10.1007/S10898-020-00920-0>. Important functions : gpcm(), predict.gpcm(), update.gpcm().
License: GPL-3
Encoding: UTF-8
Imports: DiceKriging, tmvtnorm, TruncatedNormal (>= 2.3), future.apply, future, methods, stats
Suggests: DiceDesign, testthat
NeedsCompilation: no
Packaged: 2024-09-20 14:17:20 UTC; menzm
Author: Morgane Menz [aut, cre], Celine Helbert [aut], Victor Picheny [aut], Francois Bachoc [aut], Naoual Serraji [ctb]
Maintainer: Morgane Menz <morgane.menz@ifpen.fr>
Repository: CRAN
Date/Publication: 2024-09-23 13:02:01 UTC

More information about GPCsign at CRAN
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New package coxphm with initial version 0.1.0
Package: coxphm
Title: Time-to-Event Data Analysis with Missing Survival Times
Version: 0.1.0
Date: 2024-09-18
Description: Fits a pseudo Cox proprotional hazards model that allow us to analyze time-to-event data when survival times are missing for control groups.
License: GPL (>= 2)
Depends: R (>= 4.2.0), survival, MASS, stats
NeedsCompilation: no
Packaged: 2024-09-20 22:10:18 UTC; ychung36
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>
Repository: CRAN
Date/Publication: 2024-09-23 13:30:55 UTC

More information about coxphm at CRAN
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New package AnimalSequences with initial version 0.2.0
Package: AnimalSequences
Title: Analyse Animal Sequential Behaviour and Communication
Version: 0.2.0
Description: All animal behaviour occurs sequentially. The package has a number of functions to format sequence data from different sources, to analyse sequential behaviour and communication in animals. It also has functions to plot the data and to calculate the entropy of sequences.
License: Apache License (>= 2.0)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Depends: R (>= 4.0.0)
Imports: stringr, dplyr, tidytext, ggplot2, fpc, mclust, kernlab, dbscan, apcluster, tidyr, tibble, stats, rlang, igraph, ggraph, magrittr, naivebayes, ranger
NeedsCompilation: yes
ByteCompile: true
Packaged: 2024-09-20 15:07:29 UTC; Alexander
Author: Alex Mielke [aut, cre]
Maintainer: Alex Mielke <a.mielke@qmul.ac.uk>
Repository: CRAN
Date/Publication: 2024-09-23 13:02:06 UTC

More information about AnimalSequences at CRAN
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New package hexDensity with initial version 1.4.4
Package: hexDensity
Title: Fast Kernel Density Estimation with Hexagonal Grid
Version: 1.4.4
Maintainer: Quoc Hoang Nguyen <nguyen.q@wehi.edu.au>
Description: Kernel density estimation with hexagonal grid for bivariate data. Hexagonal grid has many beneficial properties like equidistant neighbours and less edge bias, making it better for spatial analyses than the more commonly used rectangular grid. Carr, D. B. et al. (1987) <doi:10.2307/2289444>. Diggle, P. J. (2010) <doi:10.1201/9781420072884>. Hill, B. (2017) <https://blog.bruce-hill.com/meandering-triangles>. Jones, M. C. (1993) <doi:10.1007/BF00147776>.
URL: https://github.com/ChenLaboratory/hexDensity
License: GPL
Encoding: UTF-8
NeedsCompilation: yes
Imports: hexbin, spatstat.geom, grid, grDevices, methods
Suggests: ggplot2
Packaged: 2024-09-20 11:53:39 UTC; hoang
Author: Quoc Hoang Nguyen [aut, cre] , Dan Carr [ctb], binning routine ported by Nicholas Lewin-Koh [ctb], Martin Maechler [ctb]
Repository: CRAN
Date/Publication: 2024-09-23 12:50:34 UTC

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Sun, 22 Sep 2024

New package literanger with initial version 0.1.1
Package: literanger
Title: Random Forests for Multiple Imputation Based on 'ranger'
Version: 0.1.1
Description: An updated implementation of R package 'ranger' by Wright et al, (2017) <doi:10.18637/jss.v077.i01> for training and predicting from random forests, particularly suited to high-dimensional data, and for embedding in 'Multiple Imputation by Chained Equations' (MICE) by van Buuren (2007) <doi:10.1177/0962280206074463>. Ensembles of classification and regression trees are currently supported. Sparse data of class 'dgCMatrix' (R package 'Matrix') can be directly analyzed. Conventional bagged predictions are available alongside an efficient prediction for MICE via the algorithm proposed by Doove et al (2014) <doi:10.1016/j.csda.2013.10.025>. Survival and probability forests are not supported in the update, nor is data of class 'gwaa.data' (R package 'GenABEL'); use the original 'ranger' package for these analyses.
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
BugReports: https://gitlab.com/stephematician/literanger/-/issues
URL: https://gitlab.com/stephematician/literanger
Suggests: Matrix (>= 1.5.3), testthat (>= 3.0.0), tibble (>= 3.2.1)
Imports: stats
LinkingTo: cpp11 (>= 0.4.7), Rcereal (>= 1.3.2)
NeedsCompilation: yes
Packaged: 2024-09-21 04:35:35 UTC; stephematician
Author: Stephen Wade [aut, cre] , Marvin N Wright [ctb]
Maintainer: Stephen Wade <stephematician@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-22 21:30:05 UTC

More information about literanger at CRAN
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New package rworkflows with initial version 1.0.2
Package: rworkflows
Title: Test, Document, Containerise, and Deploy R Packages
Version: 1.0.2
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
URL: https://github.com/neurogenomics/rworkflows, https://CRAN.R-project.org/package=rworkflows
BugReports: https://github.com/neurogenomics/rworkflows/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, here, yaml, utils, desc, badger, renv, tools, methods, BiocManager, data.table
Suggests: markdown, rmarkdown, remotes, knitr, covr, testthat (>= 3.0.0), htmltools, jsonlite, BiocStyle, BiocPkgTools, biocViews, reticulate, rvest
VignetteBuilder: knitr
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-21 14:52:05 UTC; bms20
Author: Brian Schilder [aut, cre] , Alan Murphy [aut, ctb] , Nathan Skene [aut]
Maintainer: Brian Schilder <brian_schilder@alumni.brown.edu>
Repository: CRAN
Date/Publication: 2024-09-22 21:00:02 UTC

More information about rworkflows at CRAN
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Sat, 21 Sep 2024

New package otargen with initial version 1.1.5
Package: otargen
Title: Access Open Target Genetics
Version: 1.1.5
Date: 2024-09-21
Maintainer: Amir Feizi <afeizi@gmail.com>
Description: Interact seamlessly with Open Target Genetics' GraphQL endpoint to query and retrieve tidy data tables, facilitating the analysis of genetic data. For more information about the Open Target Genetics API (<https://genetics.opentargets.org/api>).
Depends: R (>= 3.1.0)
Imports: ghql, janitor, ggiraphExtra, cli, dplyr, ggplot2, ggrepel, jsonlite, rlang, magrittr, stringr, tibble, tidyr
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://amirfeizi.github.io/otargen/
BugReports: https://github.com/amirfeizi/otargen/issues
NeedsCompilation: no
Packaged: 2024-09-21 19:35:11 UTC; amir.feizi
Author: Amir Feizi [aut, cre], Kamalika Ray [aut]
Repository: CRAN
Date/Publication: 2024-09-21 22:40:02 UTC

More information about otargen at CRAN
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New package compositeReliabilityInNestedDesigns with initial version 1.0.4
Package: compositeReliabilityInNestedDesigns
Title: Optimizing the Composite Reliability in Multivariate Nested Designs
Version: 1.0.4
Description: The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets in nested design as is often the case for Workplace-Based Assessments. This package is designed to estimate composite reliability in nested designs using multivariate generalizability theory and enhance the analysis of assessment data. The package allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations, and options to find the set of weights that maximizes the composite reliability or minimizes the standard error of measurement (SEM).
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, lme4, magrittr, plyr, psych, reshape2, tidyr, Rsolnp
Depends: R (>= 2.10)
LazyData: true
URL: https://github.com/jmoonen/compositeReliabilityInNestedDesigns
BugReports: https://github.com/jmoonen/compositeReliabilityInNestedDesigns/issues
NeedsCompilation: no
Packaged: 2024-09-20 07:12:20 UTC; J.Moonen
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
Repository: CRAN
Date/Publication: 2024-09-21 17:40:01 UTC

More information about compositeReliabilityInNestedDesigns at CRAN
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New package affluenceIndex with initial version 2.2
Package: affluenceIndex
Title: Affluence (Richness) Indices
Version: 2.2
Date: 2024-09-18
Maintainer: Alicja Wolny-Dominiak <alicja.wolny-dominiak@ue.katowice.pl>
Description: Enables to compute the statistical indices of affluence (richness) with bootstrap errors, and inequality and polarization indices. Moreover, gives the possibility of calculation of affluence line. Some simple errors are fixed and it works with new version of Spatial Statistics packaged.
Depends: R (>= 3.6.2), stats
Imports: spatstat.univar
Author: Alicja Wolny-Dominiak [aut, cre], Anna Saczewska-Piotrowska [aut]
License: GPL-2
NeedsCompilation: no
Packaged: 2024-09-20 07:57:04 UTC; woali
Repository: CRAN
Date/Publication: 2024-09-21 17:50:02 UTC

More information about affluenceIndex at CRAN
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Fri, 20 Sep 2024

New package kgraph with initial version 1.0.0
Package: kgraph
Title: Knowledge Graphs Constructions and Visualizations
Version: 1.0.0
Description: Knowledge graphs enable to efficiently visualize and gain insights into large-scale data analysis results, as p-values from multiple studies or embedding data matrices. The usual workflow is a user providing a data frame of association studies results and specifying target nodes, e.g. phenotypes, to visualize. The knowledge graph then shows all the features which are significantly associated with the phenotype, with the edges being proportional to the association scores. As the user adds several target nodes and grouping information about the nodes such as biological pathways, the construction of such graphs soon becomes complex. The 'kgraph' package aims to enable users to easily build such knowledge graphs, and provides two main features: first, to enable building a knowledge graph based on a data frame of concepts relationships, be it p-values or cosine similarities; second, to enable determining an appropriate cut-off on cosine similarities from a complete embedding matrix, to enab [...truncated...]
Imports: amap, bslib, data.table, dplyr, DT, grid, htmltools, igraph, magrittr, Matrix, pROC, plyr, RColorBrewer, reshape2, rsvd, sgraph, shiny, text2vec
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
URL: https://gitlab.com/thomaschln/kgraph
BugReports: https://gitlab.com/thomaschln/kgraph/-/issues
NeedsCompilation: no
Packaged: 2024-09-19 19:28:49 UTC; root
Author: Thomas Charlon [aut, cre] , Hongyi Yuan [ctb] , CELEHS [aut] , PARSE Health [aut]
Maintainer: Thomas Charlon <charlon@protonmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 14:30:02 UTC

More information about kgraph at CRAN
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New package hellorust with initial version 1.2.1
Package: hellorust
Title: Minimal Examples of Using Rust Code in R
Version: 1.2.1
Description: Template R package with minimal setup to use Rust code in R without hacks or frameworks. Includes basic examples of importing cargo dependencies, spawning threads and passing numbers or strings from Rust to R. Cargo crates are automatically 'vendored' in the R source package to support offline installation. The GitHub repository for this package has more details and also explains how to set up CI. This project was first presented at 'Erum2018' to showcase R-Rust integration <https://jeroen.github.io/erum2018/>; for a real world use-case, see the 'gifski' package on 'CRAN'.
License: MIT + file LICENSE
URL: https://github.com/r-rust/hellorust
BugReports: https://github.com/r-rust/hellorust/issues
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-19 17:09:37 UTC; jeroen
Author: Jeroen Ooms [aut, cre] , Authors of the dependency Rust crates [aut]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 14:10:06 UTC

More information about hellorust at CRAN
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New package diathor with initial version 0.1.4
Package: diathor
Title: Calculate Ecological Information and Diatom Based Indices
Version: 0.1.4
Maintainer: Joaquin Cochero <jcochero@ilpla.edu.ar>
Description: Calculate multiple biotic indices using diatoms from environmental samples. Diatom species are identified by their species names through a heuristic search, and ecological data is retrieved from multiple sources. The package includes the calculation of chloroplast diversity indices, size classes, ecological guilds, and various biotic indices. It outputs both a dataframe with all the results and plots of the obtained data in a specified output folder. Sample data is sourced from Nicolosi Gelis, Cochero, & Gómez (2020, <doi:10.1016/j.ecolind.2019.105951>). The package utilizes the 'Diat.Barcode' database for morphological and ecological information by Rimet & Couchez (2012, <doi:10.1051/kmae/2012018>), along with the combined classification of guilds and size classes from B-Beres et al. (2017, <doi:10.1016/j.ecolind.2017.07.007>). Currently supported diatom-based biotic indices include DES index (Descy, 1979); EPID index (Dell'Uomo, 1996); IDAP index (Prygiel &a [...truncated...]
License: GNU General Public License
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), stringdist, vegan, ggplot2, tidyr
Imports: data.table, purrr, stringr, tibble
Suggests: knitr, rmarkdown,
NeedsCompilation: no
Packaged: 2024-09-20 12:59:08 UTC; Juaco
Author: Maria Mercedes Nicolosi Gelis [aut] , Maria Belen Sathicq [aut] , Joaquin Cochero [cre]
Repository: CRAN
Date/Publication: 2024-09-20 14:10:09 UTC

More information about diathor at CRAN
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New package conversim with initial version 0.1.0
Package: conversim
Title: Conversation Similarity Analysis
Version: 0.1.0
Description: Analyze and compare conversations using various similarity measures including topic, lexical, semantic, structural, stylistic, sentiment, participant, and timing similarities. Supports both pairwise conversation comparisons and analysis of multiple dyads. Methods are based on established research: Topic modeling: Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>; Landauer et al. (1998) <doi:10.1080/01638539809545028>; Lexical similarity: Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>; Semantic similarity: Salton & Buckley (1988) <doi:10.1016/0306-4573(88)90021-0>; Mikolov et al. (2013) <doi:10.48550/arXiv.1301.3781>; Pennington et al. (2014) <doi:10.3115/v1/D14-1162>; Structural and stylistic analysis: Graesser et al. (2004) <doi:10.1075/target.21131.ryu>; Sentiment analysis: Rinker (2019) <https://github.com/trinker/sentimentr>.
License: GPL (>= 3)
Imports: tm (>= 0.7-8), lsa (>= 0.73.2), topicmodels (>= 0.2-12), sentimentr (>= 2.7.1), word2vec, lme4, slam, ggplot2, stats
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/chaoliu-cl/conversim, http://liu-chao.site/conversim/
BugReports: https://github.com/chaoliu-cl/conversim/issues
NeedsCompilation: no
Packaged: 2024-09-19 18:30:46 UTC; psych
Author: Chao Liu [aut, cre, cph]
Maintainer: Chao Liu <chaoliu@cedarville.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-20 14:10:13 UTC

More information about conversim at CRAN
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New package twingp with initial version 1.0.0
Package: twingp
Title: A Fast Global-Local Gaussian Process Approximation
Version: 1.0.0
Date: 2024-08-24
Copyright: See the file COPYRIGHTS for copyright details
Description: A global-local approximation framework for large-scale Gaussian process modeling. Please see Vakayil and Joseph (2024) <doi:10.1080/00401706.2023.2296451> for details. This work is supported by U.S. NSF grants CMMI-1921646 and DMREF-1921873.
License: Apache License (== 2.0)
Depends: R (>= 3.0.2)
Imports: Rcpp, nloptr (>= 1.2.0)
LinkingTo: Rcpp, RcppEigen, nloptr (>= 1.2.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-08-31 15:47:29 UTC; akhil
Author: Akhil Vakayil [aut, cre] , V. Roshan Joseph [aut, ths] , Jose L. Blanco [ctb]
Maintainer: Akhil Vakayil <akhilv@gatech.edu>
Repository: CRAN
Date/Publication: 2024-09-20 13:40:02 UTC

More information about twingp at CRAN
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New package sg with initial version 0.1.0
Package: sg
Title: 'SendGrid' Email API Client
Version: 0.1.0
Description: Minimalistic 'SendGrid' Email API client for creating and sending emails. For more information, visit the official 'SendGrid' Email API documentation: <https://sendgrid.com/en-us/solutions/email-api>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/botan/sg
BugReports: https://github.com/botan/sg/issues
Depends: R (>= 4.2)
Imports: base64enc, httr2, mime, rlang
NeedsCompilation: no
Packaged: 2024-09-19 16:22:07 UTC; botan
Author: Botan Agin [aut, cre]
Maintainer: Botan Agin <aginbotan@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 14:00:02 UTC

More information about sg at CRAN
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New package monolix2rx with initial version 0.0.1
Package: monolix2rx
Title: Converts 'Monolix' Models to 'rxode2'
Version: 0.0.1
Description: 'Monolix' is a tool for running mixed effects model using 'saem'. This tool allows you to convert 'Monolix' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) using the form compatible with 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'Monolix' data and compare the simulation for the population model individual model and residual model to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rxode2' model. This is complementary to the 'babelmixr2' package that translates 'nlmixr2' models to 'Monolix' a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: dparser, rxode2parse, Rcpp
Imports: Rcpp, checkmate, cli, dparser, withr, ggplot2, ggforce, stringi, crayon, lotri, magrittr, rxode2 (>= 3.0.0),
Suggests: devtools, testthat (>= 3.0.0), xgxr, vdiffr, lixoftConnectors
NeedsCompilation: yes
Packaged: 2024-09-19 15:31:55 UTC; matt
Author: Matthew Fidler [aut, cre] , Justin Wilkins [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 13:50:08 UTC

More information about monolix2rx at CRAN
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New package groqR with initial version 0.0.1
Package: groqR
Title: A Coding Assistant using the Fast AI Inference 'Groq'
Version: 0.0.1
Maintainer: Gabriel Kaiser <quantresearch.gk@gmail.com>
Description: A comprehensive suite of functions and 'RStudio' Add-ins leveraging the capabilities of open-source Large Language Models (LLMs) to support R developers. These functions offer a range of utilities, including text rewriting, translation, and general query capabilities. Additionally, the programming-focused functions provide assistance with debugging, translating, commenting, documenting, and unit testing code, as well as suggesting variable and function names, thereby streamlining the development process.
License: GPL (>= 3)
URL: https://github.com/GabrielKaiserQFin/groqR
BugReports: https://github.com/GabrielKaiserQFin/groqR/issues
Imports: clipr, httr, jsonlite, miniUI, rstudioapi, shiny, shinyWidgets, utils
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-19 14:14:04 UTC; Gabriel
Author: Gabriel Kaiser [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-20 13:50:12 UTC

More information about groqR at CRAN
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New package eratosthenes with initial version 0.0.2
Package: eratosthenes
Title: Archaeological Synchronism
Version: 0.0.2
Description: Estimates unknown historical or archaeological dates subject to relationships with other dates and absolute constraints, derived as marginal densities from the full joint conditional distribution. Includes rule-based estimation of the production dates of artifact types. Collins-Elliott (2024) <https://volweb.utk.edu/~scolli46/sceGUTChronology.pdf>.
License: GPL (>= 3)
Imports: Rcpp, Rdpack
Encoding: UTF-8
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-09-19 16:53:47 UTC; tennessee10
Author: Stephen A. Collins-Elliott [aut, cre]
Maintainer: Stephen A. Collins-Elliott <sce@utk.edu>
Repository: CRAN
Date/Publication: 2024-09-20 14:00:09 UTC

More information about eratosthenes at CRAN
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New package bnRep with initial version 0.0.1
Package: bnRep
Title: A Repository of Bayesian Networks from the Academic Literature
Version: 0.0.1
Description: A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()'. For details see <https://github.com/manueleleonelli/bnRep>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: bnlearn, dplyr, DT, qgraph,shiny, shinyjs, shinythemes
URL: https://github.com/manueleleonelli/bnRep
BugReports: https://github.com/manueleleonelli/bnRep/issues
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, ggplot2, scales, stringr, RColorBrewer
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-19 13:55:15 UTC; manueleleonelli
Author: Manuele Leonelli [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>
Repository: CRAN
Date/Publication: 2024-09-20 13:40:05 UTC

More information about bnRep at CRAN
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Thu, 19 Sep 2024

New package poems with initial version 1.3.1
Package: poems
Title: Pattern-Oriented Ensemble Modeling System
Version: 1.3.1
Description: A framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic population model simulation engine, [...truncated...]
Depends: R (>= 3.6.0)
Language: en-AU
License: GPL-3
URL: https://github.com/GlobalEcologyLab/poems, https://globalecologylab.github.io/poems/
BugReports: https://github.com/GlobalEcologyLab/poems/issues
Encoding: UTF-8
Imports: abc (>= 2.1), doParallel (>= 1.0.16), foreach (>= 1.5.1), fossil (>= 0.4.0), lhs (>= 1.1.1), metRology (>= 0.9.28.1), R6 (>= 2.5.0), raster (>= 3.6), trend (>= 1.1.4), truncnorm (>= 1.0), gdistance, qs
Suggests: knitr, rmarkdown, sf, scales, stringi, testthat
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-09-19 16:56:58 UTC; caryinstitute
Author: Sean Haythorne [aut], Damien Fordham [aut], Stuart Brown [aut] , Jessie Buettel [aut], Barry Brook [aut], July Pilowsky [aut, cre]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>
Repository: CRAN
Date/Publication: 2024-09-19 20:40:03 UTC

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New package staticryptR with initial version 0.1.0
Package: staticryptR
Title: Encrypt HTML Files Using 'staticrypt'
Version: 0.1.0
Description: Provides a convenient interface to the 'staticrypt' by Robin Moisson <https://github.com/robinmoisson/staticrypt>---'Node.js' package for adding a password protection layer to static HTML pages. This package can be integrated into the post-render process of 'quarto' documents to secure them with a password.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-18 17:33:54 UTC; nikitoshina
Author: Nikita Tkachenko [aut, cre, cph]
Maintainer: Nikita Tkachenko <nikita@nikitoshina.com>
Repository: CRAN
Date/Publication: 2024-09-19 15:30:02 UTC

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New package splusTimeSeries with initial version 1.5.7
Package: splusTimeSeries
Version: 1.5.7
Title: Time Series from 'S-PLUS'
Depends: R (>= 2.10), splusTimeDate (>= 2.5.2)
Imports: graphics, methods, stats
Description: A collection of classes and methods for working with indexed rectangular data. The index values can be calendar (timeSeries class) or numeric (signalSeries class). Methods are included for aggregation, alignment, merging, and summaries. The code was originally available in 'S-PLUS'.
License: BSD_3_clause + file LICENSE
URL: https://github.com/spkaluzny/splusTimeSeries
BugReports: https://github.com/spkaluzny/splusTimeSeries/issues
LazyData: no
NeedsCompilation: yes
Packaged: 2024-09-19 03:57:23 UTC; spk
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-19 16:00:02 UTC

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New package scoredec with initial version 0.1.0
Package: scoredec
Title: S-Core Graph Decomposition
Version: 0.1.0
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>
Description: S-Core Graph Decomposition algorithm for graphs. This is a method for decomposition of a weighted graph, as proposed by Eidsaa and Almaas (2013) <doi:10.1103/PhysRevE.88.062819>. The high speed and the low memory usage make it suitable for large graphs.
License: GPL-3
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://github.com/cadam00/scoredec, https://cadam00.github.io/scoredec/
BugReports: https://github.com/cadam00/scoredec/issues
Imports: Rcpp (>= 1.0.12), Rfast, igraph
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2024-09-18 14:26:57 UTC; Administrator
Author: Christos Adam [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-19 15:10:02 UTC

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New package RSquaredMI with initial version 0.1.1
Package: RSquaredMI
Title: R-Squared with Multiply Imputed Data
Version: 0.1.1
Description: Provides R-squared values and standardized regression coefficients for linear models applied to multiply imputed datasets as obtained by 'mice'. Confidence intervals, zero-order correlations, and alternative adjusted R-squared estimates are also available. The methods are described in Van Ginkel and Karch (2024) <doi:10.1111/bmsp.12344> and in Van Ginkel (2020) <doi:10.1007/s11336-020-09696-4>.
License: AGPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: altR2 (>= 1.1.0), lm.beta, matrixStats, stats, mice
URL: https://github.com/karchjd/RsquaredMI
BugReports: https://github.com/karchjd/RsquaredMI/issues
NeedsCompilation: no
Packaged: 2024-09-19 08:04:21 UTC; karch
Author: Julian D. Karch [aut, cph] , Joost van Ginkel [aut, cre, cph]
Maintainer: Joost van Ginkel <jginkel@fsw.leidenuniv.nl>
Repository: CRAN
Date/Publication: 2024-09-19 16:00:07 UTC

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New package ReliaGrowR with initial version 0.1.0
Package: ReliaGrowR
Title: Reliability Growth Analysis
Version: 0.1.0
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Imports: stats, graphics, segmented
License: CC BY 4.0
Encoding: UTF-8
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Language: en-US
URL: https://paulgovan.github.io/ReliaGrowR/, https://github.com/paulgovan/ReliaGrowR
VignetteBuilder: knitr
BugReports: https://github.com/paulgovan/ReliaGrowR/issues
NeedsCompilation: no
Packaged: 2024-09-18 22:20:30 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-19 15:40:08 UTC

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New package PSIM with initial version 0.1.0
Package: PSIM
Title: Preference Selection Index Method (PSIM)
Version: 0.1.0
Maintainer: Luana Oliveira <luana.azevedo.oliveira.2022@gmail.com>
Description: The Preference Selection Index Method was created in (2010) and provides an innovative approach to determining the relative importance of criteria without pairwise comparisons, unlike the Analytic Hierarchy Process. The Preference Selection Index Method uses statistical methods to calculate the criteria weights and reflects their relative importance in the final decision-making process, offering an objective and non-subjective solution. This method is beneficial in multi-criteria decision analysis. The 'PSIM' package provides a practical and accessible tool for implementing the Preference Selection Index Method in R. It calculates the weights of criteria and makes the method available to researchers, analysts, and professionals without the need to develop complex calculations manually. More details about the Preference Selection Index Method can be found in Maniya K. and Bhatt M. G.(2010) <doi:10.1016/j.matdes.2009.11.020>.
URL: https://github.com/luana1909/PSIM
Imports: dplyr, matrixStats, magrittr, tidyverse
Language: en-US
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-18 19:13:42 UTC; Luana de Azevedo
Author: Luana Oliveira [aut, cre], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2024-09-19 15:40:12 UTC

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New package gtexr with initial version 0.1.0
Package: gtexr
Title: Query the GTEx Portal API
Version: 0.1.0
Description: A convenient R interface to the Genotype-Tissue Expression (GTEx) Portal API. For more information on the API, see <https://gtexportal.org/api/v2/redoc>.
License: MIT + file LICENSE
URL: https://rmgpanw.github.io/gtexr/, https://github.com/rmgpanw/gtexr
BugReports: https://github.com/rmgpanw/gtexr/issues
Encoding: UTF-8
Imports: cli, dplyr, httr2 (>= 1.0.0), purrr, rlang, tibble, tidyr
Suggests: curl, httptest2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-18 23:52:25 UTC; alasdair
Author: Alasdair Warwick [aut, cre, cph] , Benjamin Zuckerman [aut] , Abraham Olvera-Barrios [aut] , Chuin Ying Ung [aut] , Robert Luben [aut]
Maintainer: Alasdair Warwick <alasdair.warwick.19@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-09-19 15:40:02 UTC

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New package EnrichDO with initial version 0.1-1
Package: EnrichDO
Title: a Global Weighted Model for Disease Ontology Enrichment Analysis
Version: 0.1-1
Description: To implement disease ontology (DO) enrichment analysis, this package is designed and presents a double weighted model based on the latest annotations of the human genome with DO terms, by integrating the DO graph topology on a global scale. This package exhibits high accuracy that it can identify more specific DO terms, which alleviates the over enriched problem. The package includes various statistical models and visualization schemes for discovering the associations between genes and diseases from biological big data.
Maintainer: Haixiu Yang <yanghaixiu@ems.hrbmu.edu.cn>
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: BiocGenerics, Rgraphviz, clusterProfiler, hash, S4Vectors, dplyr, ggplot2, graph, magrittr, methods, pheatmap, purrr, readr, stringr, tidyr, grDevices, stats, RColorBrewer
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, org.Hs.eg.db, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-19 02:41:47 UTC; FF
Author: Liang Cheng [aut], Haixiu Yang [aut, cre], Hongyu Fu [ctb]
Repository: CRAN
Date/Publication: 2024-09-19 16:00:10 UTC

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Wed, 18 Sep 2024

New package MapperAlgo with initial version 1.0
Package: MapperAlgo
Title: Topological Data Analysis: Mapper Algorithm
Version: 1.0
Date: 2024-09-17
Maintainer: ChiChien Wang <kennywang2003@gmail.com>
Description: The Mapper algorithm from Topological Data Analysis, the steps are as follows 1. Define a filter (lens) function on the data. 2. Perform clustering within each level set. 3. Generate a complex from the clustering results.
Depends: R (>= 3.1.2)
Suggests: fastcluster, igraph, testthat (>= 3.0.0)
License: MIT + file LICENSE
URL: https://github.com/kennywang112/MapperAlgo/
BugReports: https://github.com/kennywang112/MapperAlgo/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-18 14:10:19 UTC; wangqiqian
Author: ChiChien Wang [aut, cre, trl], Paul Pearson [ctb], Daniel Muellner [ctb], Gurjeet Singh [ctb]
Repository: CRAN
Date/Publication: 2024-09-18 14:30:07 UTC

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New package ggtangle with initial version 0.0.2
Package: ggtangle
Title: Draw Network with Data
Version: 0.0.2
Description: Extends the 'ggplot2' plotting system to support network visualization. Inspired by 'ggtree', 'ggtangle' is designed to work with network associated data.
Imports: ggfun (>= 0.1.6), ggplot2, igraph, rlang, yulab.utils (>= 0.1.6)
Suggests: aplot, ggtree, knitr, prettydoc, rmarkdown, scatterpie (>= 0.2.4)
VignetteBuilder: knitr
License: Artistic-2.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-18 12:45:22 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-18 14:10:02 UTC

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New package SCFMonitor with initial version 0.3.5
Package: SCFMonitor
Title: Clear Monitor and Graphing Software Processing Gaussian .log File
Version: 0.3.5
Description: Self-Consistent Field(SCF) calculation method is one of the most important steps in the calculation methods of quantum chemistry. Ehrenreich, H., & Cohen, M. H. (1959). <doi:10.1103/PhysRev.115.786> However, the most prevailing software in this area, 'Gaussian''s SCF convergence process is hard to monitor, especially while the job is still running, causing researchers difficulty in knowing whether the oscillation has started or not, wasting time and energy on useless configurations or abandoning the jobs that can actually work. M.J. Frisch, G.W. Trucks, H.B. Schlegel et al. (2016). <https://gaussian.com> 'SCFMonitor' enables 'Gaussian' quantum chemistry calculation software users to easily read the 'Gaussian' .log files and monitor the SCF convergence and geometry optimization process with little effort and clear, beautiful, and clean outputs. It can generate graphs using 'tidyverse' to let users check SCF convergence and geometry optimization processes in real-time. Th [...truncated...]
Maintainer: Pengjun Guo <pengjun.guo@outlook.com>
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: readr, stringr, tidyselect, dplyr, tibble, utils, ggplot2, tidyr, magrittr
URL: https://github.com/AzuleneG/SCFMonitor
BugReports: https://github.com/AzuleneG/SCFMonitor/issues
NeedsCompilation: no
Packaged: 2024-09-18 08:48:46 UTC; admin
Author: Pengjun Guo [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-18 14:00:05 UTC

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New package saros.base with initial version 0.2.1
Package: saros.base
Title: Base Tools for Semi-Automatic Reporting of Ordinary Surveys
Version: 0.2.1
Maintainer: Stephan Daus <stephus.daus@gmail.com>
Description: Scaffold an entire web-based report using template chunks, based on a small chapter overview and a dataset. Highly adaptable with prefixes, suffixes, translations, etc. Also contains tools for password-protecting, e.g. for each organization's report on a website. Developed for the common case of a survey across multiple organizations/sites where each organization wants to obtain results for their organization compared with everyone else. See 'saros' (<https://CRAN.R-project.org/package=saros>) for tools used for authors in the drafted reports.
Note: Free to use for non-Norwegian institutions, otherwise see LICENSE.
License: MIT + file LICENSE
URL: https://nifu-no.github.io/saros.base/, https://github.com/NIFU-NO/saros.base
BugReports: https://github.com/NIFU-NO/saros.base/issues
Depends: R (>= 4.2.0)
Imports: cli, utils, vctrs, dplyr, tidyr, tidyselect, glue, rlang, stringi, yaml, forcats, fs, zip, rstudioapi, bcrypt
Suggests: covr, haven, srvyr, readr, qs, writexl, quarto, labelled, testthat (>= 3.0.0), tibble, withr, spelling
SystemRequirements: None.
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-17 18:52:14 UTC; py128
Author: Stephan Daus [aut, cre, cph] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Repository: CRAN
Date/Publication: 2024-09-18 13:30:02 UTC

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New package morse with initial version 3.3.4
Package: morse
Title: Modelling Reproduction and Survival Data in Ecotoxicology
Version: 3.3.4
Encoding: UTF-8
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>
URL: https://gitlab.in2p3.fr/mosaic-software/morse
BugReports: https://gitlab.in2p3.fr/mosaic-software/morse/-/issues
Description: Advanced methods for a valuable quantitative environmental risk assessment using Bayesian inference of survival and reproduction Data. Among others, it facilitates Bayesian inference of the general unified threshold model of survival (GUTS). See our companion paper Baudrot and Charles (2021) <doi:10.21105/joss.03200>, as well as complementary details in Baudrot et al. (2018) <doi:10.1021/acs.est.7b05464> and Delignette-Muller et al. (2017) <doi:10.1021/acs.est.6b05326>.
Depends: R (>= 4.0.0)
SystemRequirements: JAGS (>= 4.0.0) (see https://mcmc-jags.sourceforge.io)
Imports: coda, deSolve, dplyr, epitools, graphics, grDevices, ggplot2 (>= 2.1.0), grid, gridExtra, magrittr, methods, reshape2, rjags (>= 4.0), stats, tibble, tidyr, zoo
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-18 12:22:58 UTC; virgile
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [ctb], Alexander Singer [ [...truncated...]
Repository: CRAN
Date/Publication: 2024-09-18 13:30:06 UTC

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New package hubUtils with initial version 0.1.7
Package: hubUtils
Version: 0.1.7
Title: Core 'hubverse' Utilities
Description: Core set of low-level utilities common across the 'hubverse'. Used to interact with 'hubverse' schema, Hub configuration files and model outputs and designed to be primarily used internally by other 'hubverse' packages. See Reich et al. (2022) <doi:10.2105/AJPH.2022.306831> for an overview of Collaborative Hubs.
License: MIT + file LICENSE
URL: https://github.com/hubverse-org/hubUtils, https://hubverse-org.github.io/hubUtils/
BugReports: https://github.com/hubverse-org/hubUtils/issues
Depends: R (>= 2.10)
Imports: checkmate, cli, curl, fs, gh, glue, jsonlite, lifecycle, magrittr, memoise, purrr, rlang, stringr, tibble, utils
Suggests: arrow (>= 17.0.0), dplyr, knitr, rmarkdown, testthat (>= 3.2.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-18 12:31:07 UTC; Anna
Author: Anna Krystalli [aut, cre] , Li Shandross [ctb], Nicholas G. Reich [ctb] , Evan L. Ray [ctb], Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>
Repository: CRAN
Date/Publication: 2024-09-18 14:00:01 UTC

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New package GreyZones with initial version 0.0.5
Package: GreyZones
Title: Detection of Grey Zones in Two-Way Inter-Rater Agreement Tables
Version: 0.0.5
Date: 2024-09-18
Author: Haydar Demirhan [aut, cre, cph] , Ayfer Ezgi Yilmaz [aut]
Maintainer: Haydar Demirhan <haydar.demirhan@rmit.edu.au>
Description: Grey zones locally occur in an agreement table due to the subjective evaluation of raters based on various factors such as not having uniform guidelines, the differences between the raters' level of expertise or low variability among the level of the categorical variable. It is important to detect grey zones since they cause a negative bias in the estimate of the agreement level. This package provides a function for detecting the existence of grey zones in two-way inter-rater agreement tables (Demirhan and Yilmaz (2023) <doi:10.1186/s12874-022-01759-7>).
Depends: irrCAC (>= 1.0)
License: GPL-3
NeedsCompilation: no
Repository: CRAN
Packaged: 2024-09-18 01:53:48 UTC; haydardemirhan
Date/Publication: 2024-09-18 13:40:02 UTC

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New package elaborator with initial version 1.3.4
Package: elaborator
Title: A 'shiny' Application for Exploring Laboratory Data
Version: 1.3.4
Description: A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives. Janitza, S., Majumder, M., Mendolia, F., Jeske, S., & Kulmann, H. (2021) <doi:10.1007/s43441-021-00318-4>.
Depends: R (>= 3.5.0), seriation
License: GPL-3
URL: https://github.com/openpharma/elaborator
Encoding: UTF-8
Imports: shiny, dplyr, purrr, DT, here, tidyselect, rlang, tidyr, forcats, RColorBrewer, bsplus, dendextend, haven, reshape2, shape, shinyWidgets, shinydashboard
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-18 06:48:35 UTC; sgfpj
Author: Silke Janitza [aut], Steffen Jeske [aut], Madhurima Majumder [aut], Franco Mendolia [aut], Bodo Kirsch [cre], Hermann Kulmann [aut]
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>
Repository: CRAN
Date/Publication: 2024-09-18 13:50:02 UTC

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New package stratifiedyh with initial version 0.1.0
Package: stratifiedyh
Title: Stratified Sampling and Labeling of Data in R
Version: 0.1.0
Description: Provides functions for stratified sampling and assigning custom labels to data, ensuring randomness within groups. The package supports various sampling methods such as stratified, cluster, and systematic sampling. It allows users to apply transformations and customize the sampling process. This package can be useful for statistical analysis and data preparation tasks.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-17 17:36:52 UTC; nasru
Author: Duan Yuanheng [aut, cre]
Maintainer: Duan Yuanheng <yhyuanheng@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-18 12:30:02 UTC

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New package PKbioanalysis with initial version 0.1.0
Package: PKbioanalysis
Title: Pharmacokinetic Bioanalysis Experiments Design and Exploration
Version: 0.1.0
Maintainer: Omar Elashkar <omar.i.elashkar@gmail.com>
Description: Automate pharmacokinetic/pharmacodynamic bioanalytical procedures based on best practices and regulatory recommendations. The package impose regulatory constrains and sanity checking for common bioanalytical procedures. Additionally, 'PKbioanalysis' provides a relational infrastructure for plate management and injection sequence.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.3), tidyselect, stringr (>= 1.5.1), ggplot2 (>= 3.5.1), ggforce (>= 0.4.1), tidyr (>= 1.3.0), glue (>= 1.6.2), checkmate, shiny (>= 1.9.1), rappdirs, DBI, duckdb (>= 1.0.0), bslib, bsicons, shinyWidgets, shinyjs, DiagrammeR, units, DT, stats, shinyalert, htmltools, rlang, grDevices, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/OmarAshkar/PKbioanalysis
BugReports: https://github.com/OmarAshkar/PKbioanalysis/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-17 15:22:08 UTC; omar.elashkar
Author: Omar Elashkar [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-18 12:10:05 UTC

More information about PKbioanalysis at CRAN
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New package multimedia with initial version 0.2.0
Package: multimedia
Title: Multimodal Mediation Analysis
Version: 0.2.0
Description: Multimodal mediation analysis is an emerging problem in microbiome data analysis. Multimedia make advanced mediation analysis techniques easy to use, ensuring that all statistical components are transparent and adaptable to specific problem contexts. The package provides a uniform interface to direct and indirect effect estimation, synthetic null hypothesis testing, bootstrap confidence interval construction, and sensitivity analysis. More details are available in Jiang et al. (2024) "multimedia: Multimodal Mediation Analysis of Microbiome Data" <doi:10.1101/2024.03.27.587024>.
License: CC0
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0), brms, glmnetUtils, ranger, tidyselect
Imports: MASS, S4Vectors, SummarizedExperiment, cli, dplyr, fansi, formula.tools, ggplot2, glue, methods, miniLNM, patchwork, phyloseq, progress, purrr, rlang, stats, tidygraph, tidyr
Suggests: compositions, ggdist, ggraph, ggrepel, knitr, rmarkdown, testthat (>= 3.0.0), tidyverse, vroom
BugReports: https://github.com/krisrs1128/multimedia/issues/
URL: https://krisrs1128.github.io/multimedia/, https://github.com/krisrs1128/multimedia/
LazyData: false
NeedsCompilation: no
Packaged: 2024-09-17 19:41:43 UTC; krissankaran
Author: Kris Sankaran [aut, cre] , Hanying Jiang [aut]
Maintainer: Kris Sankaran <ksankaran@wisc.edu>
Repository: CRAN
Date/Publication: 2024-09-18 12:30:05 UTC

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New package hypergeo2 with initial version 0.1.0
Package: hypergeo2
Title: Generalized Hypergeometric Function with Tunable High Precision
Version: 0.1.0
Description: Computation of generalized hypergeometric function with tunable high precision in a vectorized manner, with the floating-point datatypes from 'mpfr' or 'gmp' library. The computation is limited to real numbers.
License: MIT + file LICENSE
Suggests: ggplot2, hypergeo, microbenchmark, testthat (>= 3.0.0)
Encoding: UTF-8
LinkingTo: BH, Rcpp
Imports: Rcpp
URL: https://github.com/zhuxr11/hypergeo2
BugReports: https://github.com/zhuxr11/hypergeo2/issues
SystemRequirements: gmp, mpfr
NeedsCompilation: yes
Packaged: 2024-09-17 15:53:44 UTC; Admin
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>
Repository: CRAN
Date/Publication: 2024-09-18 11:50:02 UTC

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New package GECal with initial version 0.1.3
Package: GECal
Title: Generalized Entropy Calibration
Version: 0.1.3
Description: Generalized Entropy Calibration produces calibration weights using generalized entropy as the objective function for optimization. This approach, as implemented in the 'GECal' package, is based on Kwon, Kim, and Qiu (2024) <doi:10.48550/arXiv.2404.01076>. Unlike traditional methods, 'GECal' incorporates design weights into the constraints to maintain design consistency, rather than including them in the objective function itself.
Encoding: UTF-8
URL: https://github.com/yonghyun-K/GECal
Depends: R (>= 2.10.0)
LazyData: true
Imports: nleqslv
Suggests: sampling
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-09-17 14:28:15 UTC; ghkfk
Author: Yonghyun Kwon [aut, cre] , Jaekwang Kim [aut] , Yumou Qiu [aut]
Maintainer: Yonghyun Kwon <yhkwon@kma.ac.kr>
Repository: CRAN
Date/Publication: 2024-09-18 11:50:08 UTC

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New package crumble with initial version 0.1.0
Package: crumble
Title: Flexible and General Mediation Analysis Using Riesz Representers
Version: 0.1.0
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>
Description: Implements a modern, unified estimation strategy for common mediation estimands (natural effects, organic effects, interventional effects, and recanting twins) in combination with modified treatment policies as described in Liu, Williams, Rudolph, and Díaz (2024) <doi:10.48550/arXiv.2408.14620>. Estimation makes use of recent advancements in Riesz-learning to estimate a set of required nuisance parameters with deep learning. The result is the capability to estimate mediation effects with binary, categorical, continuous, or multivariate exposures with high-dimensional mediators and mediator-outcome confounders using machine learning.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: checkmate, Matrix, origami, torch, Rsymphony, purrr, cli, S7, data.table, coro, generics, lmtp, mlr3superlearner, progressr
Suggests: testthat (>= 3.0.0), truncnorm, mma
NeedsCompilation: no
Packaged: 2024-09-17 16:37:07 UTC; nicholaswilliams
Author: Nicholas Williams [aut, cre, cph] , Richard Liu [ctb], Ivan Diaz [aut, cph]
Repository: CRAN
Date/Publication: 2024-09-18 11:50:05 UTC

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New package moocore with initial version 0.1.2
Package: moocore
Title: Core Mathematical Functions for Multi-Objective Optimization
Version: 0.1.2
Description: Fast implementation of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Depends: R (>= 4.0)
Imports: matrixStats, Rdpack
Suggests: doctest (>= 0.2.0), knitr, spelling, testthat (>= 3.0.0), withr
License: LGPL (>= 2)
Copyright: file COPYRIGHTS
BugReports: https://github.com/multi-objective/moocore/issues
URL: https://multi-objective.github.io/moocore/r/, https://github.com/multi-objective/moocore/tree/main/r
LazyLoad: true
LazyData: true
Encoding: UTF-8
SystemRequirements: GNU make
Language: en-GB
NeedsCompilation: yes
Packaged: 2024-09-17 16:11:12 UTC; manu
Author: Manuel Lopez-Ibanez [aut, cre] , Carlos Fonseca [ctb], Luis Paquete [ctb], Andreia P. Guerreiro [ctb], Mickael Binois [ctb], Michael H. Buselli [cph] , Wessel Dankers [cph] , NumPy Developers [cph] , Jean-Sebastien Roy [cph] , Makoto Matsumoto [cph] [...truncated...]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2024-09-18 04:50:02 UTC

More information about moocore at CRAN
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Tue, 17 Sep 2024

New package parafac4microbiome with initial version 1.0.2
Package: parafac4microbiome
Title: Parallel Factor Analysis Modelling of Longitudinal Microbiome Data
Version: 1.0.2
Description: Creation and selection of PARAllel FACtor Analysis (PARAFAC) models of longitudinal microbiome data. You can import your own data with our import functions or use one of the example datasets to create your own PARAFAC models. Selection of the optimal number of components can be done using assessModelQuality() and assessModelStability(). The selected model can then be plotted using plotPARAFACmodel(). The Parallel Factor Analysis method was originally described by Caroll and Chang (1970) <doi:10.1007/BF02310791> and Harshman (1970) <https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: compositions, cowplot, doParallel, dplyr, foreach, ggplot2, ggpubr, lifecycle, magrittr, methods, mize, multiway, parallel, pracma, rlang, rTensor, stats, tidyr
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, MicrobiotaProcess, phyloseq, rmarkdown, SummarizedExperiment, testthat (>= 3.0.0), TreeSummarizedExperiment, withr
VignetteBuilder: knitr
URL: https://grvanderploeg.github.io/parafac4microbiome/, https://github.com/GRvanderPloeg/parafac4microbiome
BugReports: https://github.com/GRvanderPloeg/parafac4microbiome/issues
NeedsCompilation: no
Packaged: 2024-09-17 14:17:29 UTC; roelv
Author: Geert Roelof van der Ploeg [aut, cre] , Johan Westerhuis [ctb] , Anna Heintz-Buschart [ctb] , Age Smilde [ctb] , University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <g.r.ploeg@uva.nl>
Repository: CRAN
Date/Publication: 2024-09-17 16:30:01 UTC

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New package paleoAM with initial version 1.0.1
Package: paleoAM
Title: Simulating Assemblage Models of Abundance for the Fossil Record
Version: 1.0.1
Date: 2024-09-16
Author: David W Bapst [aut, cre], Christina L Belanger [aut]
Maintainer: David W Bapst <dwbapst@gmail.com>
Depends: R (>= 4.1.0)
Imports: graphics, stats, vegan
Suggests: spelling, testthat
License: CC0
Language: en-US
Encoding: UTF-8
ByteCompile: TRUE
Description: Provides functions for fitting abundance distributions over environmental gradients to the species in ecological communities, and tools for simulating the fossil assemblages from those abundance models for such communities, as well as simulating assemblages across various patterns of sedimentary history and sampling. These tools are for particular use with fossil records with detailed age models and abundance distributions used for calculating environmental gradients from ordinations or other indices based on fossil assemblages.
NeedsCompilation: no
Packaged: 2024-09-16 19:22:50 UTC; dwbapst
Repository: CRAN
Date/Publication: 2024-09-17 16:20:37 UTC

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New package Jacquard with initial version 1.0.2
Package: Jacquard
Title: Estimation of Jacquard's Genetic Identity Coefficients
Version: 1.0.2
Date: 2024-09-17
Author: Jan Graffelman [aut, cre]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 3.3.0), Rsolnp
Description: Contains procedures to estimate the nine condensed Jacquard genetic identity coefficients (Jacquard, 1974) <doi:10.1007/978-3-642-88415-3> by constrained least squares (Graffelman et al., 2024) <doi:10.1101/2024.03.25.586682> and by the method of moments (Csuros, 2014) <doi:10.1016/j.tpb.2013.11.001>. These procedures require previous estimation of the allele frequencies. Functions are supplied that estimate relationship parameters that derive from the Jacquard coefficients, such as individual inbreeding coefficients and kinship coefficients.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www-eio.upc.edu/~jan/
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Packaged: 2024-09-17 10:20:55 UTC; TanitSunShine
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-09-17 16:20:50 UTC

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New package DEXiR with initial version 1.0.2
Package: DEXiR
Title: 'DEXi' Library
Version: 1.0.2
Description: A software package for using 'DEXi' models. 'DEXi' models are hierarchical qualitative multi-criteria decision models developed according to the method DEX (Decision EXpert, <https://dex.ijs.si/documentation/DEX_Method/DEX_Method.html>), using the program 'DEXi' (<https://kt.ijs.si/MarkoBohanec/dexi.html>) or 'DEXiWin' (<https://dex.ijs.si/dexisuite/dexiwin.html>). A typical workflow with 'DEXiR' consists of: (1) reading a '.dxi' file, previously made using the 'DEXi' software (function read_dexi()), (2) making a data frame containing input values of one or more decision alternatives, (3) evaluating those alternatives (function evaluate()), (4) analyzing alternatives (selective_explanation(), plus_minus(), compare_alternatives()), (5) drawing charts. 'DEXiR' is restricted to using models produced externally by the 'DEXi' software and does not provide functionality for creating and/or editing 'DEXi' models directly in 'R'.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), grDevices, ggplot2, GGally, fmsb
Imports: utils, xml2, methods, stringr, graphics
NeedsCompilation: no
Packaged: 2024-09-16 09:52:20 UTC; Mare
Author: Marko Bohanec [aut, cre]
Maintainer: Marko Bohanec <marko.bohanec@ijs.si>
Repository: CRAN
Date/Publication: 2024-09-17 16:30:09 UTC

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New package curesurv with initial version 0.1.1
Package: curesurv
Title: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Version: 0.1.1
Author: Juste Goungounga [aut, cre] , Judith Breaud [aut] , Olayide Boussari [aut] , Valerie Jooste [aut]
Maintainer: Juste Goungounga <juste.goungounga@ehesp.fr>
Description: Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), stringr, survival
Imports: numDeriv, stats, randtoolbox, bbmle, optimx, Formula, Deriv, statmod
Suggests: testthat, knitr, rmarkdown, xhaz, survexp.fr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-10 13:07:27 UTC; jbreaud
Repository: CRAN
Date/Publication: 2024-09-17 16:20:46 UTC

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New package ColOpenData with initial version 0.3.0
Package: ColOpenData
Title: Download Colombian Demographic, Climate and Geospatial Data
Version: 0.3.0
Description: Downloads wrangled Colombian socioeconomic, geospatial,population and climate data from DANE <https://www.dane.gov.co/> (National Administrative Department of Statistics) and IDEAM <https://ideam.gov.co> (Institute of Hydrology, Meteorology and Environmental Studies). It solves the problem of Colombian data being issued in different web pages and sources by using functions that allow the user to select the desired database and download it without having to do the exhausting acquisition process.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/ColOpenData, https://epiverse-trace.github.io/ColOpenData/
BugReports: https://github.com/epiverse-trace/ColOpenData/issues
Depends: R (>= 3.3.0)
Imports: checkmate, config, dplyr, magrittr, rlang, sf, stringdist, tidyr, utils
Suggests: ggplot2, knitr, leaflet, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-17 14:08:10 UTC; Camila
Author: Maria Camila Tavera-Cifuentes [aut, cre, cph] , Julian Otero [aut, cph] , Natalia Nino-Machado [ctb] , Catalina Gonzalez-Uribe [ctb] , Juan Manuel Cordovez [ctb] , Hugo Gruson [rev] , Chris Hartgerink [rev] , Karim Mane [rev] , Joshua W. Lambert [rev [...truncated...]
Maintainer: Maria Camila Tavera-Cifuentes <mc.tavera@uniandes.edu.co>
Repository: CRAN
Date/Publication: 2024-09-17 16:30:14 UTC

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New package arcpbf with initial version 0.1.5
Package: arcpbf
Title: Process ArcGIS Protocol Buffer FeatureCollections
Version: 0.1.5
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R. It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
License: Apache License (>= 2)
URL: https://r.esri.com/arcpbf/, https://github.com/R-ArcGIS/arcpbf
BugReports: https://github.com/R-ArcGIS/arcpbf/issues
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
Suggests: httr2, sf, testthat (>= 3.0.0)
Imports: arcgisutils (>= 0.3.0), rlang
NeedsCompilation: yes
Packaged: 2024-09-05 14:46:10 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 16:00:02 UTC

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New package shiny.destroy with initial version 0.1.0
Package: shiny.destroy
Title: Create Destroyable Modules in 'Shiny'
Version: 0.1.0
Description: Enables the complete removal of various 'Shiny' components, such as inputs, outputs and modules. It also aids in the removal of observers that have been created in dynamically created modules.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, rlang, shiny
Suggests: bslib, htmltools, knitr, rmarkdown, shinytest2, spelling, testthat (>= 3.0.0)
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-16 19:52:28 UTC; arbal
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 12:30:02 UTC

More information about shiny.destroy at CRAN
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New package orthGS with initial version 0.1.5
Package: orthGS
Title: Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants
Version: 0.1.5
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 (>= 2.10)
LazyData: true
Imports: ape, bio3d, castor, igraph, phangorn, phytools, seqinr, TreeTools
Suggests: BiocManager, Biostrings, fs, knitr, muscle, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-16 17:19:27 UTC; ealedo
Author: Elena Aledo [aut, cre, cph], Juan-Carlos Aledo [aut]
Maintainer: Elena Aledo <elenaaledoesteban@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 12:10:02 UTC

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New package card.pro with initial version 2.1.0
Package: card.pro
Title: Lightweight Modern & Responsive Card Component for 'shiny'
Version: 2.1.0
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Description: Responsive and modern 'HTML' card essentials for 'shiny' dashboard. This novel card component in 'Bootstrap' provides a flexible and extensible content container with multiple variants and options for build robust apps e.g for graph build or machine learning projects. The features rely on a combine 'JQuery' <https://jquery.com> and 'CSS' styles to improve the card functionality.
License: MIT + file LICENSE
URL: https://cardpro.rpkg.net
BugReports: https://github.com/oobianom/card.pro/issues
Depends: R (> 3.6)
Imports: shiny, quickcode, htmltools
Suggests: rmarkdown, knitr, qpdf, testthat
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2024-09-16 18:32:44 UTC; in198
Author: Obinna Obianom [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-17 12:20:02 UTC

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New package WAnova with initial version 0.4.0
Package: WAnova
Title: Welch's Anova from Summary Statistics
Version: 0.4.0
Description: Provides the functions to perform a Welch's one-way Anova with fixed effects based on summary statistics (sample size, means, standard deviation) and the Games-Howell post hoc test for multiple comparisons and provides the effect size estimator adjusted omega squared. In addition sample size estimation can be computed based on Levy's method, and a Monte Carlo simulation is included to bootstrap residual normality and homoscedasticity Welch, B. L. (1951) <doi:10.1093/biomet/38.3-4.330> Kirk, R. E. (1996) <doi:10.1177/0013164496056005002> Carroll, R. M., & Nordholm, L. A. (1975) <doi:10.1177/001316447503500304> Albers, C., & Lakens, D. (2018) <doi:10.1016/j.jesp.2017.09.004> Games, P. A., & Howell, J. F. (1976) <doi:10.2307/1164979> Levy, K. J. (1978a) <doi:10.1080/00949657808810246> Show-Li, J., & Gwowen, S. (2014) <doi:10.1111/bmsp.12006>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: car, utils, stats, SuppDists
NeedsCompilation: no
Packaged: 2024-09-16 15:44:34 UTC; runneradmin
Author: Niklas Burgard [aut, cre]
Maintainer: Niklas Burgard <info@burgard.online>
Repository: CRAN
Date/Publication: 2024-09-17 12:00:06 UTC

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New package sts with initial version 1.0
Package: sts
Title: Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis
Version: 1.0
Date: 2024-09-04
Author: Shawn Mankad [aut, cre], Li Chen [aut]
Maintainer: Shawn Mankad <smankad@ncsu.edu>
Description: The Structural Topic and Sentiment-Discourse (STS) model allows researchers to estimate topic models with document-level metadata that determines both topic prevalence and sentiment-discourse. The sentiment-discourse is modeled as a document-level latent variable for each topic that modulates the word frequency within a topic. These latent topic sentiment-discourse variables are controlled by the document-level metadata. The STS model can be useful for regression analysis with text data in addition to topic modeling’s traditional use of descriptive analysis. The method was developed in Li and Mankad (2024) <doi:10.2139/ssrn.4020651>.
License: MIT + file LICENSE
Imports: Rcpp, RcppArmadillo, glmnet, matrixStats, slam, foreach, doParallel, parallel, stm, Matrix, mvtnorm
Suggests: tm
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-16 13:12:51 UTC; shawnmankad
Repository: CRAN
Date/Publication: 2024-09-17 11:50:01 UTC

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New package readMDTable with initial version 0.1.1
Package: readMDTable
Title: Read Markdown Tables into Tibbles
Version: 0.1.1
Description: Functions for reading raw markdown tables from a string, file, or URL into tibbles. It includes options to warn users about potential issues with the markdown table format, ensuring robust data handling even if the table has minor formatting errors.
Imports: cli, httr2, lubridate, readr, stringr, tibble
URL: https://github.com/jrdnbradford/readMDTable, https://jrdnbradford.github.io/readMDTable/
BugReports: https://github.com/jrdnbradford/readMDTable/issues
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-16 14:42:14 UTC; bradfojb
Author: Jordan Bradford [aut, cre, cph]
Maintainer: Jordan Bradford <jrdnbradford@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 12:00:02 UTC

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New package ouladFormat with initial version 1.1.2
Package: ouladFormat
Title: Loads and Formats the Open University Learning Analytics Dataset for Data Analysis
Version: 1.1.2
Description: The Open University Learning Analytics Dataset (OULAD) is available from Kuzilek et al. (2017) <doi:10.1038/sdata.2017.171>. The 'ouladFormat' package loads, cleans and formats the OULAD for data analysis (each row of the returned data set is an individual student). The package’s main function, combined_dataset(), allows the user to choose whether the returned data set includes assessment, demographics, virtual learning environment (VLE), or registration variables etc.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, httr, magrittr, stats, tidyr
NeedsCompilation: no
Packaged: 2024-09-16 14:37:25 UTC; Emma
Author: Emma Howard [aut, cre]
Maintainer: Emma Howard <emhoward@tcd.ie>
Repository: CRAN
Date/Publication: 2024-09-17 11:50:04 UTC

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New package colorrepel with initial version 0.1.0
Package: colorrepel
Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Version: 0.1.0
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: grDevices, matrixStats, Matrix, distances, stats, dqrng, gtools, purrr, dplyr, ggplot2, ggrepel, ggalt
Suggests: colorspace
URL: https://github.com/raysinensis/color_repel
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-09-16 11:51:11 UTC; rfu
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 11:50:08 UTC

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Mon, 16 Sep 2024

New package SEMdeep with initial version 0.1.0
Package: SEMdeep
Title: Structural Equation Modeling with Deep Neural Network and Machine Learning
Version: 0.1.0
Date: 2024-08-20
Description: Training and validation of a custom (or data-driven) Structural Equation Models using layer-wise Deep Neural Networks or node-wise Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.
Depends: SEMgraph (>= 1.2.2), igraph (>= 2.0.0), R (>= 4.0)
Imports: cito, corpcor, lavaan, mgcv, NeuralNetTools, nnet, ranger, shapr, torch, xgboost
URL: https://github.com/BarbaraTarantino/SEMdeep
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Author: Mario Grassi [aut], Barbara Tarantino [aut, cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>
Repository: CRAN
Packaged: 2024-09-16 07:19:37 UTC; mario
Date/Publication: 2024-09-16 15:30:02 UTC

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New package rusquant with initial version 1.1.4
Package: rusquant
Title: Quantitative Trading Framework
Version: 1.1.4
Date: 2024-09-16
Depends: quantmod,data.table,jsonlite,httr,xts
Imports: XML,stringr,jose,stats,rvest,base64enc
Maintainer: Vyacheslav Arbuzov <arbuzov1989@gmail.com>
Description: Collection of functions to retrieve financial data from various sources, including brokerage and exchange platforms, financial websites, and data providers. Includes functions to retrieve account information, portfolio information, and place/cancel orders from different brokers. Additionally, allows users to download historical data such as earnings, dividends, stock splits.
LazyLoad: yes
License: GPL-3
Encoding: UTF-8
URL: https://rusquant.ru
BugReports: https://github.com/arbuzovv/rusquant/issues
NeedsCompilation: no
Packaged: 2024-09-16 11:46:38 UTC; vyacheslav
Author: Vyacheslav Arbuzov [cph, cre, aut], Sergey Edunov [aut]
Repository: CRAN
Date/Publication: 2024-09-16 15:10:02 UTC

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New package qs2 with initial version 0.1.1
Package: qs2
Title: Efficient Serialization of R Objects
Version: 0.1.1
Date: 2024-09-16
Maintainer: Travers Ching <traversc@gmail.com>
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
License: GPL-3
Biarch: true
Depends: R (>= 3.5.0)
Imports: Rcpp, stringfish (>= 0.15.1)
LinkingTo: Rcpp, stringfish, RcppParallel
Suggests: knitr, rmarkdown, dplyr, data.table, stringi
SystemRequirements: GNU make
Encoding: UTF-8
VignetteBuilder: knitr
Copyright: This package includes code from the 'zstd' library owned by Facebook, Inc. and created by Yann Collet; and code derived from the 'Blosc' library created and owned by Francesc Alted.
URL: https://github.com/traversc/qs2
BugReports: https://github.com/traversc/qs2/issues
NeedsCompilation: yes
Packaged: 2024-09-16 08:04:40 UTC; tching
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Repository: CRAN
Date/Publication: 2024-09-16 15:10:06 UTC

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New package GISTools with initial version 1.0-0
Package: GISTools
Title: Further Capabilities in Geographic Information Science
Version: 1.0-0
Date: 2024-09-12
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>
License: GPL (>= 2)
Repository: CRAN
Description: Mapping and spatial data manipulation tools - in particular drawing thematic maps with nice looking legends, and aggregation of point data to polygons.
Depends: R (>= 3.5.0),sf, sp
Imports: RColorBrewer, MASS,methods
NeedsCompilation: no
Packaged: 2024-09-16 08:30:19 UTC; Lenovo
Author: Chris Brunsdon [aut], Binbin Lu [aut, cre], Hongyan Chen [aut]
Date/Publication: 2024-09-16 15:10:16 UTC

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New package SVMD with initial version 0.1.0
Package: SVMD
Title: Spearman Variational Mode Decomposition
Version: 0.1.0
Author: Dr. Himadri Shekhar Roy [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Chiranjit Mazumder [aut], Dr. Kamalika Nath [aut], Dr. Prakash Kumar [aut]
Maintainer: Dr. Himadri Shekhar Roy <himadriiasri@gmail.com>
Description: In practice, it is difficult to determine the number of decomposition modes, K, for Variational Mode Decomposition (VMD). To overcome this issue, this study offers Spearman Variational Mode Decomposition (SVMD), a method that uses the Spearman correlation coefficient to calculate the ideal mode number. Unlike the Pearson correlation coefficient, which only returns a perfect value when X and Y are linearly connected, the Spearman correlation can be calculated without knowing the probability distributions of X and Y. The Spearman correlation coefficient, also called Spearman's rank correlation coefficient, is a subset of a wider correlation coefficient. As VMD decomposes a signal, the Spearman correlation coefficient between the reconstructed and original sequences rises as the mode number K increases. Once the signal has been fully decomposed, subsequent increases in K cause the correlation to gradually level off. When the correlation reaches a specific level, VMD is said to have adequa [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: VMDecomp, stats
NeedsCompilation: no
Packaged: 2024-09-14 19:20:00 UTC; Admin
Repository: CRAN
Date/Publication: 2024-09-16 14:30:06 UTC

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New package ieegio with initial version 0.0.1
Package: ieegio
Title: File IO for Intracranial Electroencephalography
Version: 0.0.1
Language: en-US
Encoding: UTF-8
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
URL: http://dipterix.org/ieegio/
BugReports: https://github.com/dipterix/ieegio/issues
License: MIT + file LICENSE
Imports: data.table (>= 1.16.0), digest, fastmap, filearray (>= 0.1.8), freesurferformats, fs, fst (>= 0.9.0), gifti (>= 0.8.0), grDevices, hdf5r, jsonlite, oro.nifti, R.matlab (>= 3.7.0), R6, readNSx (>= 0.0.5), rpyANTs (>= 0.0.3), stringr, utils, yaml
Suggests: reticulate, rgl, rpymat (>= 0.1.7), RNifti (>= 1.7.0), xml2, knitr, rmarkdown, tools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-12 20:57:16 UTC; dipterix
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-16 14:20:02 UTC

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New package dtreg with initial version 1.0.0
Package: dtreg
Title: Interact with Data Type Registries and Create Machine-Readable Data
Version: 1.0.0
Description: You can load a schema from a DTR (data type registry) as an R object. Use this schema to write your data in JSON-LD (JavaScript Object Notation for Linked Data) format to make it machine readable.
License: MIT + file LICENSE
URL: https://gitlab.com/TIBHannover/orkg/dtreg-r
BugReports: https://gitlab.com/TIBHannover/orkg/dtreg-r/-/issues
Imports: httr2, jsonlite, methods, R6, stringr
Suggests: knitr, rmarkdown, sets, stats, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-15 12:37:13 UTC; LezhninaO
Author: Olga Lezhnina [aut, cre] , Manuel Prinz [aut] , Markus Stocker [aut] , Open Research Knowledge Graph Project and Contributors [cph]
Maintainer: Olga Lezhnina <olga.lezhnina@tib.eu>
Repository: CRAN
Date/Publication: 2024-09-16 14:50:02 UTC

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New package CAESAR.Suite with initial version 0.1.0
Package: CAESAR.Suite
Title: CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation
Version: 0.1.0
Author: Xiao Zhang [aut, cre], Wei Liu [aut], Jin Liu [aut]
Maintainer: Xiao Zhang <zhangxiao1994@cuhk.edu.cn>
Description: Biotechnology in spatial omics has advanced rapidly over the past few years, enhancing both throughput and resolution. However, existing annotation pipelines in spatial omics predominantly rely on clustering methods, lacking the flexibility to integrate extensive annotated information from single-cell RNA sequencing (scRNA-seq) due to discrepancies in spatial resolutions, species, or modalities. Here we introduce the CAESAR suite, an open-source software package that provides image-based spatial co-embedding of locations and genomic features. It uniquely transfers labels from scRNA-seq reference, enabling the annotation of spatial omics datasets across different technologies, resolutions, species, and modalities, based on the conserved relationship between signature genes and cells/locations at an appropriate level of granularity. Notably, CAESAR enriches location-level pathways, allowing for the detection of gradual biological pathway activation within spatially defined domain types. [...truncated...]
License: GPL (>= 2)
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.10), Matrix, Seurat, DescTools, ProFAST, furrr, future, ggplot2, ggrepel, grDevices, irlba, pbapply, progress, scater, stats, ade4, methods
Repository: CRAN
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr, rmarkdown
Suggests: knitr, rmarkdown, cowplot, scales, tibble, dplyr, msigdbr
URL: https://github.com/XiaoZhangryy/CAESAR.Suite
BugReports: https://github.com/XiaoZhangryy/CAESAR.Suite/issues
NeedsCompilation: yes
Packaged: 2024-09-14 01:06:05 UTC; ZXiao
Date/Publication: 2024-09-16 14:20:06 UTC

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New package ream with initial version 1.0-2
Package: ream
Title: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Version: 1.0-2
Description: Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the 'python' package it is based upon, 'PyBEAM' by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokke [...truncated...]
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/RaphaelHartmann/ream
BugReports: https://github.com/RaphaelHartmann/ream/issues
NeedsCompilation: yes
Packaged: 2024-09-13 12:58:55 UTC; hartmann
Author: Raphael Hartmann [aut, cre] , Matthew Murrow [aut]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>
Repository: CRAN
Date/Publication: 2024-09-16 11:50:02 UTC

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New package DMCfun with initial version 4.0.1
Package: DMCfun
Title: Diffusion Model of Conflict (DMC) in Reaction Time Tasks
Version: 4.0.1
Date: 2024-09-13
Description: DMC model simulation detailed in Ulrich, R., Schroeter, H., Leuthold, H., & Birngruber, T. (2015). Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. Cognitive Psychology, 78, 148-174. Ulrich et al. (2015) <doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within choice reaction-time (CRT) tasks are often modelled using evidence accumulation models (EAMs), a variation of which is the Diffusion Decision Model (DDM, for a review, see Ratcliff & McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). The DMC model combines common features from within standard diffusion models with the addition of superimposed controlled and automatic activation. The DMC model is used to explain distributional reaction time (and error rate) patterns in common behavioural conflict-like tasks (e.g., Flanker task, Simon task). This R-package implements the DMC model and provides functional [...truncated...]
URL: https://github.com/igmmgi/DMCfun, https://CRAN.R-project.org/package=DMCfun, https://www.sciencedirect.com/science/article/pii/S259026012100031X
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: DEoptim, Rcpp (>= 0.12.16), dplyr (>= 1.0.0), methods, parallel, pbapply, tidyr
Suggests: ggplot2, scales, shiny, testthat
LinkingTo: Rcpp, BH
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-13 12:12:53 UTC; ian
Author: Ian G. Mackenzie [cre, aut], Carolin Dudschig [aut]
Maintainer: Ian G. Mackenzie <ian.mackenzie@uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2024-09-16 11:50:10 UTC

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New package shrinkTVPVAR with initial version 0.1.1
Package: shrinkTVPVAR
Title: Efficient Bayesian Inference for TVP-VAR-SV Models with Shrinkage
Version: 0.1.1
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter vector autoregressive models with shrinkage priors. Details on the algorithms used are provided in Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus et al. (2021) <doi:10.18637/jss.v100.i13>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.3.0)
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, shrinkTVP, stochvol
Imports: Rcpp, shrinkTVP, stochvol, coda, methods, grDevices, RColorBrewer, lattice, zoo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-09-13 19:48:33 UTC; Peter
Author: Peter Knaus [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-16 09:00:02 UTC

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New package regreplaceR with initial version 0.1.0
Package: regreplaceR
Title: Match and Replace Strings Based on Named Groups in Regular Expressions
Language: en-US
Version: 0.1.0
Date: 2024-09-05
Author: Gwang-Jin Kim [aut, cre]
Description: An R6 class "Replacer" provided by the package simplifies working with regex patterns containing named groups. It allows easy retrieval of matched portions and targeted replacements by group name, improving both code clarity and maintainability.
URL: https://github.com/gwangjinkim/regreplaceR
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6
NeedsCompilation: no
Packaged: 2024-09-13 05:27:19 UTC; josephus
Maintainer: Gwang-Jin Kim <gwang.jin.kim.phd@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-16 08:20:02 UTC

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New package PredTest with initial version 0.1.0
Package: PredTest
Title: Preparing Data For, and Calculating the Prediction Test
Version: 0.1.0
Description: Global hypothesis tests combine information across multiple endpoints to test a single hypothesis. The prediction test is a recently proposed global hypothesis test with good performance for small sample sizes and many endpoints of interest. The test is also flexible in the types and combinations of expected results across the individual endpoints. This package provides functions for data processing and calculation of the prediction test.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: devtools, ggplot2, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-13 21:00:53 UTC; richardvargas
Author: Richard Vargas [aut] , Neal Montgomery [aut, cre]
Maintainer: Neal Montgomery <rmontgomery@kumc.edu>
Repository: CRAN
Date/Publication: 2024-09-16 09:00:06 UTC

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New package solaR2 with initial version 0.10
Package: solaR2
Title: Radiation and Photovoltaic Systems
Version: 0.10
Encoding: UTF-8
Description: Provides tools for calculating solar geometry, solar radiation on horizontal and inclined planes, and simulating the performance of various photovoltaic (PV) systems. Supports daily and intradaily irradiation data, enabling detailed analysis of grid-connected and water-pumping PV systems, including shading effects and solar angle calculations.
URL: https://solarization.github.io/solaR2/
BugReports: https://github.com/solarization/solaR2/issues
License: GPL-3
LazyData: yes
Depends: R (>= 4.0.0), data.table, lattice, latticeExtra
Imports: RColorBrewer, graphics, grDevices, stats, methods, utils
Suggests: zoo, sp, raster, rasterVis, tdr, meteoForecast, httr2, jsonlite, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-13 11:09:05 UTC; Fran
Author: Oscar Perpinan-Lamigueiro [aut] , Francisco Delgado-Lopez [aut, cre]
Maintainer: Francisco Delgado-Lopez <f.delgadol@alumnos.upm.es>
Repository: CRAN
Date/Publication: 2024-09-16 07:50:02 UTC

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New package R4HCR with initial version 0.1
Package: R4HCR
Version: 0.1
Date: 2024-09-09
Title: R for Health Care Research
Description: A collection of datasets that accompany the forthcoming book "R for Health Care Research".
Depends: R (>= 4.4.0)
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Imports: irr, mada, meta, metafor, survival
NeedsCompilation: no
Packaged: 2024-09-13 12:10:33 UTC; okejx
Author: Jason L. Oke [aut, cre, cph]
Maintainer: Jason L. Oke <jasonoke98@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-16 07:50:07 UTC

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New package MUVR2 with initial version 0.1.0
Package: MUVR2
Title: Multivariate Methods with Unbiased Variable Selection
Version: 0.1.0
Author: Carl Brunius [aut], Yingxiao Yan [aut, cre]
Maintainer: Yingxiao Yan <yingxiao@chalmers.se>
Description: Predictive multivariate modelling for metabolomics. Types: Classification and regression. Methods: Partial Least Squares, Random Forest ans Elastic Net Data structures: Paired and unpaired Validation: repeated double cross-validation (Westerhuis et al. (2008)<doi:10.1007/s11306-007-0099-6>, Filzmoser et al. (2009)<doi:10.1002/cem.1225>) Variable selection: Performed internally, through tuning in the inner cross-validation loop.
URL: https://github.com/MetaboComp/MUVR2
BugReports: https://github.com/MetaboComp/MUVR2/issues
Depends: R (>= 3.5.0)
Imports: stats, graphics, randomForest, ranger, pROC, doParallel, foreach, caret, glmnet, splines, dplyr, psych, magrittr, mgcv, grDevices, parallel
License: GPL-3
LazyData: true
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-13 11:07:32 UTC; yingxiao
Repository: CRAN
Date/Publication: 2024-09-16 07:50:11 UTC

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New package MSIMST with initial version 1.1
Package: MSIMST
Title: Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood
Version: 1.1
Date: 2024-08-16
Description: Incorporates a Bayesian monotonic single-index mixed-effect model with a multivariate skew-t likelihood, specifically designed to handle survey weights adjustments. Features include a simulation program and an associated Gibbs sampler for model estimation. The single-index function is constrained to be monotonic increasing, utilizing a customized Gaussian process prior for precise estimation. The model assumes random effects follow a canonical skew-t distribution, while residuals are represented by a multivariate Student-t distribution. Offers robust Bayesian adjustments to integrate survey weight information effectively.
URL: https://github.com/rh8liuqy/MSIMST
License: GPL (>= 3)
Depends: R (>= 3.4.0)
Imports: MASS (>= 7.3-58.4), Rcpp (>= 1.0.12), mvtnorm (>= 1.2-4), fields (>= 15.2), parallel (>= 4.3.0), truncnorm (>= 1.0-9), Rdpack (>= 2.6)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: lattice (>= 0.21-8), HDInterval (>= 0.2.4), latex2exp (>= 0.9.6), posterior (>= 1.5.0)
NeedsCompilation: yes
Packaged: 2024-09-13 02:15:51 UTC; Kevin_Liu
Author: Qingyang Liu [aut, cre] , Debdeep Pati [aut], Dipankar Bandyopadhyay [aut]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-16 07:20:05 UTC

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New package microbiomeMQC with initial version 1.0.2
Package: microbiomeMQC
Title: Calculate 4 Key Reporting Measures
Version: 1.0.2
Maintainer: Jacob Dehinsilu <jacobdehinsilu@outlook.com>
Description: Perform calculations for the WHO International Reference Reagents for the microbiome. Using strain, species or genera abundance tables generated through analysis of 16S ribosomal RNA sequencing or shotgun sequencing which included a reference reagent. This package will calculate measures of sensitivity, False positive relative abundance, diversity, and similarity based on mean average abundances with respect to the reference reagent.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: readxl, vegan
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-13 00:02:10 UTC; Jacob
Author: Jacob Dehinsilu [aut, cre] , Ravneet Bhuller [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-16 07:20:02 UTC

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New package dtmapi with initial version 0.0.1
Package: dtmapi
Title: Fetching Data from the 'Displacement Tracking Matrix'
Version: 0.0.1
Description: Allows humanitarian community, academia, media, government, and non-governmental organizations to utilize the data collected by the `Displacement Tracking Matrix` (<https://dtm.iom.int>), a unit in the International Organization for Migration. This also provides non-sensitive Internally Displaced Person figures, aggregated at the country, Admin 1 (states, provinces, or equivalent), and Admin 2 (smaller administrative areas) levels.
URL: https://github.com/Displacement-Tracking-Matrix/dtmapi-R, https://displacement-tracking-matrix.github.io/dtmapi-R/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, jsonlite, config
Suggests: knitr, rmarkdown, testthat (>= 3.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-13 08:06:43 UTC; bangtranl
Author: Luong Bang Tran [aut, cre]
Maintainer: Luong Bang Tran <lutran@iom.int>
Repository: CRAN
Date/Publication: 2024-09-16 07:40:02 UTC

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Sun, 15 Sep 2024

New package TLIC with initial version 0.1
Package: TLIC
Title: The LIC for T Distribution Regression Analysis
Version: 0.1
Date: 2024-08-30
Description: This comprehensive toolkit for T-distribution regression, known as the analysis of "TLIC" (T-distribution Linear regression Integrated Corrector), adopts ordinary least squares method and assumes that errors follow a T-distribution. This approach gives it an advantage when dealing with small samples or non-normal error distributions, and can provide more robust parameter estimation and hypothesis testing results.The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2024-09-11 01:32:24 UTC; A
Author: Guangbao Guo [aut, cre] , Guofu Jing [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2024-09-15 20:10:02 UTC

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New package spectralAnomaly with initial version 0.1.1
Package: spectralAnomaly
Title: Detect Anomalies Using the Spectral Residual Algorithm
Version: 0.1.1
Description: Apply the spectral residual algorithm to data, such as a time series, to detect anomalies. Anomaly scores can be used to determine outliers based upon a threshold or fed into more sophisticated prediction models. Methods are based upon "Time-Series Anomaly Detection Service at Microsoft", Ren, H., Xu, B., Wang, Y., et al., (2019) <doi:10.48550/arXiv.1906.03821>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://al-obrien.github.io/spectralAnomaly/, https://github.com/al-obrien/spectralAnomaly
BugReports: https://github.com/al-obrien/spectralAnomaly/issues
NeedsCompilation: no
Packaged: 2024-09-12 21:32:26 UTC; allen
Author: Allen OBrien [aut, cre, cph]
Maintainer: Allen OBrien <allen.g.obrien@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-15 21:00:02 UTC

More information about spectralAnomaly at CRAN
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New package RandomWalker with initial version 0.1.0
Package: RandomWalker
Title: Generate Random Walks Compatible with the 'tidyverse'
Version: 0.1.0
Description: Generates random walks of various types by providing a set of functions that are compatible with the 'tidyverse'. The functions provided in the package make it simple to create random walks with a variety of properties, such as how many simulations to run, how many steps to take, and the distribution of random walk itself.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://www.spsanderson.com/RandomWalker/, https://github.com/spsanderson/RandomWalker
BugReports: https://github.com/spsanderson/RandomWalker/issues
Depends: R (>= 4.1.0)
Imports: dplyr, tidyr, purrr, rlang, patchwork, NNS
Suggests: knitr, rmarkdown, stats, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-12 12:53:51 UTC; ssanders
Author: Steven Sanderson [aut, cre, cph] , Antti Rask [aut, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-15 20:30:24 UTC

More information about RandomWalker at CRAN
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New package PytrendsLongitudinalR with initial version 0.1.3
Package: PytrendsLongitudinalR
Title: Create Longitudinal Google Trends Data
Version: 0.1.3
Description: 'Google Trends' provides cross-sectional and time-series data on searches, but lacks readily available longitudinal data. Researchers, who want to create longitudinal 'Google Trends' on their own, face practical challenges, such as normalized counts that make it difficult to combine cross-sectional and time-series data and limitations in data formats and timelines that limit data granularity over extended time periods. This package addresses these issues and enables researchers to generate longitudinal 'Google Trends' data. This package is built on 'pytrends', a Python library that acts as the unofficial 'Google Trends API' to collect 'Google Trends' data. As long as the 'Google Trends API', 'pytrends' and all their dependencies are working, this package will work. During testing, we noticed that for the same input (keyword, topic, data_format, timeline), the output index can vary from time to time. Besides, if the keyword is not very popular, then the resulting dataset will contain a [...truncated...]
Encoding: UTF-8
Imports: lubridate, jsonlite, reticulate, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-09-12 09:11:07 UTC; malika
Author: Taeyong Park [cre, cph, aut], Malika Dixit [aut]
Maintainer: Taeyong Park <taeyongp@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2024-09-15 20:10:05 UTC

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New package mvcor with initial version 1.0
Package: mvcor
Title: Correlation Coefficients for Multivariate Data
Version: 1.0
Date: 2024-09-12
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast, stats
Description: Correlation coefficients for multivariate data, namely the squared correlation coefficient and the RV coefficient (multivariate generalization of the squared Pearson correlation coefficient). References include Mardia K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate Analysis". ISBN: 978-0124712522. London: Academic Press.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-09-12 11:42:35 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-09-15 20:30:07 UTC

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New package ggalign with initial version 0.0.3
Package: ggalign
Title: Align Multiple 'ggplot' Objects
Version: 0.0.3
Description: A 'ggplot2' extension offers various tools for organizing and arranging plots. It is designed to consistently align a specific axis across multiple 'ggplot' objects, making it especially useful for plots requiring data order manipulation. A typical use case includes organizing combinations like a dendrogram and a heatmap.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: ggplot2
Imports: cli, ggh4x, grid, gtable, methods, rlang (>= 1.1.0), stats, tibble, tidyr
ByteCompile: true
URL: https://github.com/Yunuuuu/ggalign, https://yunuuuu.github.io/ggalign/
BugReports: https://github.com/Yunuuuu/ggalign/issues
Suggests: gridGraphics, knitr, patchwork, rmarkdown, scales, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-12 11:00:38 UTC; yun
Author: Yun Peng [aut, cre, cph]
Maintainer: Yun Peng <yunyunp96@163.com>
Repository: CRAN
Date/Publication: 2024-09-15 20:30:10 UTC

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New package gammi with initial version 0.1
Package: gammi
Title: Generalized Additive Mixed Model Interface
Version: 0.1
Date: 2024-09-12
Description: An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the 'lme4' package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: lme4, Matrix, methods
NeedsCompilation: no
Packaged: 2024-09-12 14:59:33 UTC; nate
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>
Repository: CRAN
Date/Publication: 2024-09-15 20:30:15 UTC

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New package equiBSPD with initial version 0.1.0
Package: equiBSPD
Title: Equivalent Estimation Balanced Split Plot Designs
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: In agricultural, post-harvest and processing, engineering and industrial experiments factors are often differentiated with ease with which they can change from experimental run to experimental run. This is due to the fact that one or more factors may be expensive or time consuming to change i.e. hard-to-change factors. These factors restrict the use of complete randomization as it may make the experiment expensive and time consuming. Split plot designs can be used for such situations. In general model estimation of split plot designs require the use of generalized least squares (GLS). However for some split-plot designs ordinary least squares (OLS) estimates are equivalent to generalized least squares (GLS) estimates. These types of designs are known in literature as equivalent-estimation split-plot design. For method details see, Macharia, H. and Goos, P.(2010) <doi:10.1080/00224065.2010.11917833>.Balanced split plot designs are designs which have an equal number of subplots wit [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-12 14:10:22 UTC; ICAR-CAFRI
Author: Bijoy Chanda [aut, cre, ctb], Arpan Bhowmik [aut, ctb], Cini Varghese [aut], Seema Jaggi [aut, ctb], Eldho Varghese [aut, ctb], BN Mandal [ctb], Anindita Datta [ctb], Soumen Pal [ctb], Dibyendu Deb [ctb]
Repository: CRAN
Date/Publication: 2024-09-15 20:30:18 UTC

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New package CohortGenerator with initial version 0.11.1
Package: CohortGenerator
Title: Cohort Generation for the OMOP Common Data Model
Version: 0.11.1
Date: 2024-09-12
Maintainer: Anthony Sena <sena@ohdsi.org>
Description: Generate cohorts and subsets using an Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) Database. Cohorts are defined using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with 'SqlRender' (<https://github.com/OHDSI/SqlRender>).
Depends: DatabaseConnector (>= 5.0.0), R (>= 3.6.0), R6
Imports: checkmate, digest, dplyr, lubridate, methods, ParallelLogger (>= 3.0.0), readr (>= 2.1.0), rlang, RJSONIO, jsonlite, ResultModelManager, SqlRender (>= 1.11.1), stringi (>= 1.7.6), tibble
Suggests: CirceR (>= 1.1.1), Eunomia, knitr, rmarkdown, testthat, withr, zip
License: Apache License
VignetteBuilder: knitr
URL: https://ohdsi.github.io/CohortGenerator/, https://github.com/OHDSI/CohortGenerator
BugReports: https://github.com/OHDSI/CohortGenerator/issues
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-12 21:33:31 UTC; asena5
Author: Anthony Sena [aut, cre], Jamie Gilbert [aut], Gowtham Rao [aut], Martijn Schuemie [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2024-09-15 21:00:06 UTC

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New package aftsem with initial version 1.0
Package: aftsem
Title: Semiparametric Accelerated Failure Time Model
Version: 1.0
Date: 2024-09-01
Maintainer: Martin Benedikt <benedma2@cvut.cz>
Description: Implements several basic algorithms for estimating regression parameters for semiparametric accelerated failure time (AFT) model. The main methods are: Jin rank-based method (Jin (2003) <doi:10.1093/biomet/90.2.341>), Heller’s estimating method (Heller (2012) <doi:10.1198/016214506000001257>), Polynomial smoothed Gehan function method (Chung (2013) <doi:10.1007/s11222-012-9333-9>), Buckley-James method (Buckley (1979) <doi:10.2307/2335161>) and Jin`s improved least squares method (Jin (2006) <doi:10.1093/biomet/93.1.147>). This package can be used for modeling right-censored data and for comparing different estimation algorithms.
License: GPL (>= 3)
BugReports: https://github.com/benedma2/aftsem-package/issues
Imports: survival, Rcpp (>= 1.0.10), stats, quantreg, optimx
URL: https://github.com/benedma2/aftsem-package
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.2.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-12 12:13:59 UTC; ivan
Author: Martin Benedikt [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-15 20:30:21 UTC

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New package lavaan.printer with initial version 0.1.0
Package: lavaan.printer
Title: Helper Functions for Printing 'lavaan' Outputs
Version: 0.1.0
Description: Helpers for customizing selected outputs from 'lavaan' by Rosseel (2012) <doi:10.18637/jss.v048.i02> and print them. The functions are intended to be used by package developers in their packages and so are not designed to be user-friendly. They are designed to be let developers customize the tables by other functions. Currently the parameter estimates tables of a fitted object are supported.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: utils, methods, lavaan
Depends: R (>= 4.0.0)
URL: https://sfcheung.github.io/lavaan.printer/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-12 00:11:33 UTC; shufa
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-15 20:00:02 UTC

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New package cancerR with initial version 0.1.0
Package: cancerR
Title: Classification of Cancer Using Administrative Data
Version: 0.1.0
Description: Classifies the type of cancer using routinely collected data commonly found in cancer registries from pathology reports. The package implements the International Classification of Diseases for Oncology, 3rd Edition site (topography), histology (morphology), and behaviour codes of neoplasms to classify cancer type <https://www.who.int/standards/classifications/other-classifications/international-classification-of-diseases-for-oncology>. Classification in children utilize the International Classification of Childhood Cancer by Steliarova-Foucher et al. (2005) <doi:10.1002/cncr.20910>. Adolescent and young adult cancer classification is based on Barr et al. (2020) <doi:10.1002/cncr.33041>.
License: GPL (>= 2)
URL: https://github.com/giancarlodigi/cancerR
BugReports: https://github.com/giancarlodigi/cancerR/issues
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-11 21:13:25 UTC; giancarlo
Author: Giancarlo Di Giuseppe [aut, cre, cph]
Maintainer: Giancarlo Di Giuseppe <digi.giancarlo@proton.me>
Repository: CRAN
Date/Publication: 2024-09-15 19:40:02 UTC

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Sat, 14 Sep 2024

New package mixopt with initial version 0.1.3
Package: mixopt
Title: Mixed Variable Optimization
Version: 0.1.3
Maintainer: Collin Erickson <collinberickson@gmail.com>
Description: Mixed variable optimization for non-linear functions. Can optimize function whose inputs are a combination of continuous, ordered, and unordered variables.
Depends: dplyr, ggplot2, splitfngr
Suggests: ContourFunctions, gridExtra, lhs, testthat (>= 3.0.0)
License: LGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/CollinErickson/mixopt
BugReports: https://github.com/CollinErickson/mixopt/issues
NeedsCompilation: no
Packaged: 2024-09-14 00:32:50 UTC; colli
Author: Collin Erickson [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-15 00:20:02 UTC

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Fri, 13 Sep 2024

New package timeSeriesDataSets with initial version 0.1.0
Package: timeSeriesDataSets
Title: Time Series Data Sets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a diverse collection of time series datasets spanning various fields such as economics, finance, energy, healthcare, and more. Designed to support time series analysis in R by offering datasets from multiple disciplines, making it a valuable resource for researchers and analysts.
License: GPL-3
URL: https://github.com/lightbluetitan/timeseriesdatasets_R
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-11 02:07:23 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-13 18:10:02 UTC

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New package power.transform with initial version 1.0.0
Package: power.transform
Title: Location and Scale Invariant Power Transformations
Version: 1.0.0
Description: Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations allow for transforming variables with distributions distant from 0 to normality. Transformers are implemented as S4 objects. These allow for transforming new instances to normality after optimising fitting parameters on other data. A test for central normality allows for rejecting transformations that fail to produce a suitably normal distribution, independent of sample number.
URL: https://github.com/oncoray/power.transform
BugReports: https://github.com/oncoray/power.transform/issues
License: EUPL
Encoding: UTF-8
Imports: data.table, methods, rlang (>= 1.0.0), nloptr
Suggests: ggplot2 (>= 3.4.0), testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-11 07:24:33 UTC; alexz
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:02 UTC

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New package miniLNM with initial version 0.1.0
Package: miniLNM
Title: Miniature Logistic-Normal Multinomial Models
Version: 0.1.0
Description: Logistic-normal Multinomial (LNM) models are common in problems with multivariate count data. This package gives a simple implementation with a 30 line 'Stan' script. This lightweight implementation makes it an easy starting point for other projects, in particular for downstream tasks that require analysis of "compositional" data. It can be applied whenever a multinomial probability parameter is thought to depend linearly on inputs in a transformed, log ratio space. Additional utilities make it easy to inspect, create predictions, and draw samples using the fitted models. More about the LNM can be found in Xia et al. (2013) "A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis" <doi:10.1111/biom.12079> and Sankaran and Holmes (2023) "Generative Models: An Interdisciplinary Perspective" <doi:10.1146/annurev-statistics-033121-110134>.
License: CC0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), cli, dplyr, fansi, formula.tools, glue, methods, posterior, rstan (>= 2.18.1), rstantools (>= 2.4.0), tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Biarch: true
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
BugReports: https://github.com/krisrs1128/miniLNM/issues/
URL: https://github.com/krisrs1128/miniLNM/, https://krisrs1128.github.io/miniLNM/
NeedsCompilation: yes
Packaged: 2024-09-11 17:28:57 UTC; krissankaran
Author: Kris Sankaran [aut, cre]
Maintainer: Kris Sankaran <ksankaran@wisc.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:30:02 UTC

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New package healthatlas with initial version 0.1.0
Package: healthatlas
Title: Explore and Import 'Metopio' Health Atlas Data and Spatial Layers
Version: 0.1.0
Description: Allows for painless use of the 'Metopio' health atlas APIs <https://metopio.com/how-it-works/atlas/> to explore and import data. 'Metopio' health atlases store open public health data. See what topics (or indicators) are available among specific populations, periods, and geographic layers. Download relevant data along with geographic boundaries or point datasets. Spatial datasets are returned as 'sf' objects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr2, purrr, sf, tibble, tidyr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://ryanzomorrodi.github.io/healthatlas/, https://github.com/ryanzomorrodi/healthatlas
BugReports: https://github.com/ryanzomorrodi/healthatlas/issues
NeedsCompilation: no
Packaged: 2024-09-11 04:45:03 UTC; user
Author: Ryan Zomorrodi [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2@uic.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:05 UTC

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