Mon, 24 Jun 2024

Package spagmix updated to version 0.4-2 with previous version 0.4-1 dated 2024-05-29

Title: Artificial Spatial and Spatio-Temporal Densities on Bounded Windows
Description: Simple utilities to design and generate density functions on bounded regions in space and space-time, and simulate independent, identically distributed data therefrom. See Davies & Lawson (2019) <doi:10.1080/00949655.2019.1575066> for example.
Author: Anna K. Redmond [aut], Tilman M. Davies [aut, cre]
Maintainer: Tilman M. Davies <tilman.davies@otago.ac.nz>

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Package schemr updated to version 0.3.0 with previous version 0.2.0 dated 2023-02-02

Title: Convert Images to Usable Color Schemes
Description: A fast and adaptable tool to convert photos and images into usable colour schemes for data visualisation. Contains functionality to extract colour palettes from images, as well for the conversion of images between colour spaces.
Author: Stuart Morrison [aut, cre]
Maintainer: Stuart Morrison <smorrison@ucdavis.edu>

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Package fillpattern updated to version 1.0.2 with previous version 1.0.1 dated 2024-03-09

Title: Patterned Fills for 'ggplot2' and 'grid' Graphics
Description: Adds distinctive yet unobtrusive geometric patterns where solid color fills are normally used. Patterned figures look just as professional when viewed by colorblind readers or when printed in black and white. The dozen included patterns can be customized in terms of scale, rotation, color, fill, line type, and line width. Compatible with the 'ggplot2' package as well as 'grid' graphics.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package PracTools updated to version 1.5 with previous version 1.4.3 dated 2024-03-05

Title: Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package mlr3misc updated to version 0.15.1 with previous version 0.15.0 dated 2024-04-10

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

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Package arcgis updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-05

Title: ArcGIS Location Services Meta-Package
Description: Provides easy installation and loading of core ArcGIS location services packages 'arcgislayers', 'arcgisutils', 'arcgisgeocode', and 'arcgisplaces'. Enabling developers to interact with spatial data and services from 'ArcGIS Online', 'ArcGIS Enterprise', and 'ArcGIS Platform'. Learn more about the 'arcgis' meta-package at <https://r.esri.com/r-bridge-site/>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package pysparklyr updated to version 0.1.5 with previous version 0.1.4 dated 2024-04-16

Title: Provides a 'PySpark' Back-End for the 'sparklyr' Package
Description: It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

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Package rts2 updated to version 0.7.5 with previous version 0.7.4 dated 2024-04-03

Title: Real-Time Disease Surveillance
Description: Supports modelling real-time case data to facilitate the real-time surveillance of infectious diseases and other point phenomena. The package provides automated computational grid generation over an area of interest with methods to map covariates between geographies, model fitting including spatially aggregated case counts, and predictions and visualisation. Both Bayesian and maximum likelihood methods are provided. Log-Gaussian Cox Processes are described by Diggle et al. (2013) <doi:10.1214/13-STS441> and we provide both the low-rank approximation for Gaussian processes described by Solin and Särkkä (2020) <doi:10.1007/s11222-019-09886-w> and Riutort-Mayol et al (2023) <doi:10.1007/s11222-022-10167-2> and the nearest neighbour Gaussian process described by Datta et al (2016) <doi:10.1080/01621459.2015.1044091>. 'cmdstanr' can be downloaded at <https://mc-stan.org/cmdstanr/>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <s.i.watson@bham.ac.uk>

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Package rcheology updated to version 4.4.1.0 with previous version 4.4.0.0 dated 2024-04-30

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package ucminf updated to version 1.2.2 with previous version 1.2.1 dated 2023-12-13

Title: General-Purpose Unconstrained Non-Linear Optimization
Description: An algorithm for general-purpose unconstrained non-linear optimization. The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm. The interface of 'ucminf' is designed for easy interchange with 'optim'.
Author: K Herve Dakpo [ctb, cre], Hans Bruun Nielsen [aut], Stig Bousgaard Mortensen [aut]
Maintainer: K Herve Dakpo <k-herve.dakpo@inrae.fr>

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Package biopixR updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-02

Title: Extracting Insights from Biological Images
Description: Combines the 'magick' and 'imager' packages to streamline image analysis, focusing on feature extraction and quantification from biological images, especially microparticles. By providing high throughput pipelines and clustering capabilities, 'biopixR' facilitates efficient insight generation for researchers (Schneider J. et al. (2019) <doi:10.21037/jlpm.2019.04.05>).
Author: Tim Brauckhoff [aut, cre] , Stefan Roediger [ctb] , Coline Kieffer [ctb]
Maintainer: Tim Brauckhoff <brauctile@disroot.org>

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Package reservr updated to version 0.0.3 with previous version 0.0.2 dated 2023-10-18

Title: Fit Distributions and Neural Networks to Censored and Truncated Data
Description: Define distribution families and fit them to interval-censored and interval-truncated data, where the truncation bounds may depend on the individual observation. The defined distributions feature density, probability, sampling and fitting methods as well as efficient implementations of the log-density log f(x) and log-probability log P(x0 <= X <= x1) for use in 'TensorFlow' neural networks via the 'tensorflow' package. Allows training parametric neural networks on interval-censored and interval-truncated data with flexible parameterization. Applications include Claims Development in Non-Life Insurance, e.g. modelling reporting delay distributions from incomplete data, see Bücher, Rosenstock (2022) <doi:10.1007/s13385-022-00314-4>.
Author: Alexander Rosenstock [aut, cre, cph]
Maintainer: Alexander Rosenstock <alexander.rosenstock@web.de>

Diff between reservr versions 0.0.2 dated 2023-10-18 and 0.0.3 dated 2024-06-24

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New package treesitter.r with initial version 1.0.1
Package: treesitter.r
Title: 'R' Grammar for 'Tree-Sitter'
Version: 1.0.1
Description: Provides bindings to an 'R' grammar for 'Tree-sitter', to be used alongside the 'treesitter' package. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited.
License: MIT + file LICENSE
URL: https://github.com/r-lib/tree-sitter-r
BugReports: https://github.com/r-lib/tree-sitter-r/issues
Depends: R (>= 4.3.0)
Suggests: testthat (>= 3.0.0), treesitter
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-06-21 20:50:21 UTC; davis
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>
Repository: CRAN
Date/Publication: 2024-06-24 15:30:02 UTC

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New package treesitter with initial version 0.1.0
Package: treesitter
Title: Bindings to 'Tree-Sitter'
Version: 0.1.0
Description: Provides bindings to 'Tree-sitter', an incremental parsing system for programming tools. 'Tree-sitter' builds concrete syntax trees for source files of any language, and can efficiently update those syntax trees as the source file is edited. It also includes a robust error recovery system that provides useful parse results even in the presence of syntax errors.
License: MIT + file LICENSE
URL: https://github.com/DavisVaughan/r-tree-sitter
BugReports: https://github.com/DavisVaughan/r-tree-sitter/issues
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.2), R6 (>= 2.5.1), rlang (>= 1.1.3), vctrs (>= 0.6.5)
Suggests: testthat (>= 3.0.0), treesitter.r
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-06-22 00:02:29 UTC; davis
Author: Davis Vaughan [aut, cre], Posit Software, PBC [cph, fnd], Tree-sitter authors [cph]
Maintainer: Davis Vaughan <davis@posit.co>
Repository: CRAN
Date/Publication: 2024-06-24 15:30:05 UTC

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New package rcausim with initial version 0.1.1
Package: rcausim
Title: Generate Causally-Simulated Data
Version: 0.1.1
Description: Generate causally-simulated data to serve as ground truth for evaluating methods in causal discovery and effect estimation. The package provides tools to assist in defining functions based on specified edges, and conversely, defining edges based on functions. It enables the generation of data according to these predefined functions and causal structures. This is particularly useful for researchers in fields such as artificial intelligence, statistics, biology, medicine, epidemiology, economics, and social sciences, who are developing a general or a domain-specific methods to discover causal structures and estimate causal effects. Data simulation adheres to principles of structural causal modeling. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rcausim/blob/master/doc/causal_simulation_exemplar.html>.
Depends: R (>= 4.2)
Imports: dplyr, magrittr, purrr, tidyr, igraph
Suggests: broom, ggnetwork, ggpubr, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-22 02:42:13 UTC; herdiantrisufriyana
Author: Herdiantri Sufriyana [aut, cre] , Emily Chia-Yu Su [aut]
Maintainer: Herdiantri Sufriyana <herdi@tmu.edu.tw>
Repository: CRAN
Date/Publication: 2024-06-24 15:30:09 UTC

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New package latent2likert with initial version 1.2.1
Package: latent2likert
Title: Converting Latent Variables into Likert Scale Responses
Version: 1.2.1
Description: Effectively simulates the discretization process inherent to Likert scales while minimizing distortion. It converts continuous latent variables into ordinal categories to generate Likert scale item responses. Particularly useful for accurately modeling and analyzing survey data that use Likert scales, especially when applying statistical techniques that require metric data.
License: MIT + file LICENSE
URL: https://lalovic.io/latent2likert/
BugReports: https://github.com/markolalovic/latent2likert/issues/
Depends: R (>= 3.5)
Imports: graphics, mvtnorm, sn, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-22 15:11:25 UTC; markolalovic
Author: Marko Lalovic [aut, cre]
Maintainer: Marko Lalovic <marko@lalovic.io>
Repository: CRAN
Date/Publication: 2024-06-24 15:50:02 UTC

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New package geppe with initial version 1.0
Package: geppe
Title: Generalised Exponential Poisson and Poisson Exponential Distributions
Version: 1.0
Date: 2024-06-23
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Rfast2, stats
Description: Maximum likelihood estimation, random values generation, density computation and other functions for the exponential-Poisson generalised exponential-Poisson and Poisson-exponential distributions. References include: Rodrigues G. C., Louzada F. and Ramos P. L. (2018). "Poisson-exponential distribution: different methods of estimation". Journal of Applied Statistics, 45(1): 128--144. <doi:10.1080/02664763.2016.1268571>. Louzada F., Ramos, P. L. and Ferreira, H. P. (2020). "Exponential-Poisson distribution: estimation and applications to rainfall and aircraft data with zero occurrence". Communications in Statistics--Simulation and Computation, 49(4): 1024--1043. <doi:10.1080/03610918.2018.1491988>. Barreto-Souza W. and Cribari-Neto F. (2009). "A generalization of the exponential-Poisson distribution". Statistics and Probability Letters, 79(24): 2493--2500. <doi:10.1016/j.spl.2009.09.003>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-06-23 11:22:38 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-06-24 16:00:02 UTC

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New package dartR.sexlinked with initial version 1.0.5
Package: dartR.sexlinked
Title: Analysing SNP Data to Identify Sex-Linked Markers
Version: 1.0.5
Date: 2024-06-22
Author: Diana Robledo-Ruiz [aut, cre], Floriaan Devloo-Delva [aut], Bernd Gruber [aut], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Description: Identifies, filters and exports sex linked markers using 'SNP' (single nucleotide polymorphism) data. To install the other packages, we recommend to install the 'dartRverse' package, that supports the installation of all packages in the 'dartRverse'. If you want understand the applied rational to identify sexlinked markers and/or want to cite 'dartR.sexlinked', you find the information by typing citation('dartR.sexlinked') in the console.
License: GPL (>= 3)
URL: https://green-striped-gecko.github.io/dartR/
BugReports: https://groups.google.com/g/dartr?pli=1
Depends: adegenet (>= 2.0.0), dartR.base, dartR.data, R (>= 3.5)
Imports: doParallel (>= 1.0.17), ggplot2, methods, utils, foreach, patchwork
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-06-22 06:09:12 UTC; bernd
Maintainer: Diana Robledo-Ruiz <diana.robledoruiz1@monash.edu>
Repository: CRAN
Date/Publication: 2024-06-24 15:40:02 UTC

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New package customiser with initial version 0.1.0
Package: customiser
Title: Use R Markdown to Write your "Rprofile"
Version: 0.1.0
Description: A simple way to write ".Rprofile" code in an R Markdown file and have it knit to the correct location for your operating system.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: fs, rmarkdown, knitr, rlang, withr
URL: https://github.com/jameslairdsmith/customiser
BugReports: https://github.com/jameslairdsmith/customiser/issues
NeedsCompilation: no
Packaged: 2024-06-22 20:02:20 UTC; jameslaird-smith
Author: James Laird-Smith [aut, cre, cph]
Maintainer: James Laird-Smith <jameslairdsmith@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-24 15:50:06 UTC

More information about customiser at CRAN
Permanent link

New package csquares with initial version 0.0.3
Package: csquares
Title: Concise Spatial Query and Representation System (c-Squares)
Version: 0.0.3
Author: Pepijn de Vries [aut, cre]
Description: Encode and decode c-squares, from and to simple feature (sf) or spatiotemporal arrays (stars) objects. Use c-squares codes to quickly join or query spatial data.
Imports: dplyr, methods, purrr, rlang, sf, stars, stringr, tidyr
Suggests: ggplot2
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-23 00:13:10 UTC; vries171
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2024-06-24 15:50:09 UTC

More information about csquares at CRAN
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New package qtkit with initial version 0.10.0
Package: qtkit
Title: Quantitative Text Kit
Version: 0.10.0
Description: Support package for the textbook "An Introduction to Quantitative Text Analysis for Linguists: Reproducible Research using R" (Francom, 2024) <doi:10.4324/9781003393764> (available only after August 12, 2024). Includes functions to acquire, clean, and analyze text data as well as functions to document and share the results of text analysis. The package is designed to be used in conjunction with the book, but can also be used as a standalone package for text analysis.
License: GPL (>= 3)
URL: https://qtalr.github.io/qtkit/, https://github.com/qtalr/qtkit
BugReports: https://github.com/qtalr/qtkit/issues
Depends: R (>= 3.6)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Author: Jerid Francom [aut, cre, cph]
Maintainer: Jerid Francom <francojc@wfu.edu>
NeedsCompilation: no
Packaged: 2024-06-16 03:54:30 UTC; francojc
Repository: CRAN
Date/Publication: 2024-06-24 15:00:02 UTC

More information about qtkit at CRAN
Permanent link

Package priorsense updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-20

Title: Prior Diagnostics and Sensitivity Analysis
Description: Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.
Author: Noa Kallioinen [aut, cre, cph], Topi Paananen [aut], Paul-Christian Buerkner [aut], Aki Vehtari [aut], Frank Weber [ctb]
Maintainer: Noa Kallioinen <noa.kallioinen@aalto.fi>

Diff between priorsense versions 1.0.0 dated 2024-06-20 and 1.0.1 dated 2024-06-24

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More information about priorsense at CRAN
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Package jgsbook updated to version 1.0.7 with previous version 1.0.6 dated 2024-06-20

Title: Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann
Description: All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

Diff between jgsbook versions 1.0.6 dated 2024-06-20 and 1.0.7 dated 2024-06-24

 DESCRIPTION   |    8 ++++----
 MD5           |    6 +++---
 NEWS.md       |    4 ++++
 R/functions.R |    2 +-
 4 files changed, 12 insertions(+), 8 deletions(-)

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New package inlamemi with initial version 1.0.0
Package: inlamemi
Title: Missing Data and Measurement Error Modelling in INLA
Version: 1.0.0
Description: Facilitates fitting measurement error and missing data imputation models using integrated nested Laplace approximations, according to the method described in Skarstein, Martino and Muff (2023) <doi:10.1002/bimj.202300078>. See Skarstein and Muff (2024) <doi:10.48550/arXiv.2406.08172> for details on using the package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: INLA, knitr, testthat (>= 3.0.0), tibble, rmarkdown, spelling
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Imports: dplyr, ggplot2, rlang, stats, methods, scales
Depends: R (>= 2.10)
URL: https://emmaskarstein.github.io/inlamemi/, https://github.com/emmaSkarstein/inlamemi
Language: en-US
NeedsCompilation: no
Packaged: 2024-06-21 12:03:56 UTC; emmass
Author: Emma Skarstein [cre, aut, cph] , Stefanie Muff [aut]
Maintainer: Emma Skarstein <emma@skarstein.no>
Repository: CRAN
Date/Publication: 2024-06-24 15:00:05 UTC

More information about inlamemi at CRAN
Permanent link

Package FAIRmaterials updated to version 0.4.2 with previous version 0.4.1 dated 2023-08-09

Title: Ontology Tools with Data FAIRification in Development
Description: Translates several CSV files with ontological terms and corresponding data into RDF triples. These RDF triples are stored in OWL and JSON-LD files, facilitating data accessibility, interoperability, and knowledge unification. The triples are also visualized in a graph saved as an SVG. The input CSVs must be formatted with a template from a public Google Sheet; see README or vignette for more information. This is a tool is used by the SDLE Research Center at Case Western Reserve University to create and visualize material science ontologies, and it includes example ontologies to demonstrate its capabilities. This work was supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Numbers E-EE0009353 and DE-EE0009347, Department of Energy (National Nuclear Security Administration) under Award Number DE-NA0004104 and Contract number B647887, and U.S. National Science Foundation Award under Aw [...truncated...]
Author: Jonathan E Gordon [aut] , Alexander Harding Bradley [aut] , Priyan Rajamohan [aut] , Nathaniel Hahn [aut], Kiefer Lin [aut], Arafath Nihar [aut] , Hayden Cadwell [aut], Jiana Kambo [aut], Jayvic Jimenez [aut] , Kristen J Hernandez [aut] , Hein Htet-A [...truncated...]
Maintainer: Roger H French <roger.french@case.edu>

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Package crew updated to version 0.9.5 with previous version 0.9.4 dated 2024-06-20

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

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Package BayesFBHborrow updated to version 2.0.1 with previous version 1.0.1 dated 2024-02-27

Title: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
Description: Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2024) <doi:10.48550/arXiv.2401.06082>.
Author: Darren Scott [aut, cre], Sophia Axillus [aut]
Maintainer: Darren Scott <darren.scott@astrazeneca.com>

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Package SWMPr updated to version 2.5.1 with previous version 2.5.0 dated 2023-07-16

Title: Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <https://cdmo.baruch.sc.edu/>. These tools address common challenges associated with continuous time series data for environmental decision making.
Author: Marcus W. Beck [aut, cre], Kimberly Cressman [ctb]
Maintainer: Marcus W. Beck <mbeck@tbep.org>

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Package svs updated to version 3.1.1 with previous version 3.0.0 dated 2020-11-09

Title: Tools for Semantic Vector Spaces
Description: Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.
Author: Koen Plevoets [aut, cre]
Maintainer: Koen Plevoets <koen.plevoets@ugent.be>

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Package prodlim updated to version 2024.06.25 with previous version 2023.08.28 dated 2023-08-28

Title: Product-Limit Estimation for Censored Event History Analysis
Description: Fast and user friendly implementation of nonparametric estimators for censored event history (survival) analysis. Kaplan-Meier and Aalen-Johansen method.
Author: Thomas A. Gerds
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

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Package fwlplot updated to version 0.3.0 with previous version 0.2.0 dated 2023-10-16

Title: Scatter Plot After Residualizing Using 'fixest' Package
Description: Creates a scatter plot after residualizing using a set of covariates. The residuals are calculated using the 'fixest' package which allows very fast estimation that scales. Details of the (Yule-)Frisch-Waugh-Lovell theorem is given in Basu (2023) <doi:10.48550/arXiv.2307.00369>.
Author: Kyle Butts [aut, cre]
Maintainer: Kyle Butts <kbutts@uark.edu>

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Package webSDM updated to version 1.1-5 with previous version 1.1-4 dated 2023-09-18

Title: Including Known Interactions in Species Distribution Models
Description: A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.
Author: Giovanni Poggiato [aut, cre, cph], Jeremy Andreoletti [aut]
Maintainer: Giovanni Poggiato <giov.poggiato@gmail.com>

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New package salad with initial version 1.0
Package: salad
Title: Simple Automatic Differentiation
Version: 1.0
Date: 2024-06-07
Maintainer: Herve Perdry <herve.perdry@universite-paris-saclay.fr>
Description: Handles both vector and matrices, using a flexible S4 class for automatic differentiation. The method used is forward automatic differentiation. Many functions and methods have been defined, so that in most cases, functions written without automatic differentiation in mind can be used without change.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: methods
Imports: stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-21 14:35:48 UTC; rv
Author: Herve Perdry [aut, cre]
Repository: CRAN
Date/Publication: 2024-06-24 12:40:03 UTC

More information about salad at CRAN
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New package RtsEva with initial version 1.0.0
Package: RtsEva
Title: Performs the Transformed-Stationary Extreme Values Analysis
Version: 1.0.0
Maintainer: Alois Tilloy <alois.tilloy@ec.europa.eu>
Description: Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi available here: <https://github.com/menta78/tsEva>. It contains an implementation of the Transformed-Stationary (TS) methodology for non-stationary extreme value Analysis (EVA) as described in Mentaschi et al. (2016) <doi:10.5194/hess-20-3527-2016>. In synthesis this approach consists in: (i) transforming a non-stationary time series into a stationary one to which the stationary extreme value theory can be applied; and (ii) reverse-transforming the result into a non-stationary extreme value distribution. 'RtsEva' offers several options for trend estimation (mean, extremes, seasonal) and contains multiple plotting functions displaying different aspects of the non-stationarity of extremes.
License: GPL (>= 3)
URL: https://github.com/r-lib/devtools, https://github.com/Alowis/RtsEva
Depends: R (>= 2.10)
Imports: dplyr, evd, ggplot2, lubridate, methods, moments, POT, pracma, scales, texmex, tsibble, xts, grDevices, stats, rlang, changepoint
Suggests: knitr, ncdf4, rmarkdown, rnaturalearth, terra, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/Alowis/RtsEva/issues
NeedsCompilation: no
Packaged: 2024-06-21 12:11:13 UTC; tilloal
Author: Alois Tilloy [aut, cre]
Repository: CRAN
Date/Publication: 2024-06-24 12:30:01 UTC

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New package overturemapsr with initial version 0.0.4
Package: overturemapsr
Title: Download Overture Maps Data in R
Version: 0.0.4
Description: Overture Maps offers free and open geospatial map data sourced from various providers and standardized to a common schema. This tool allows you to download Overture Maps data for a specific region of interest and convert it to several different file formats. For more information, visit <https://overturemaps.org/download/>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: arrow, dplyr, sf
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-06-21 12:22:09 UTC; Dee
Author: Dennis Irorere [aut, cre, cph]
Maintainer: Dennis Irorere <denironyx@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-24 12:20:02 UTC

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New package minic with initial version 1.0
Package: minic
Title: Minimization Methods for Ill-Conditioned Problems
Version: 1.0
Date: 2024-05-27
Maintainer: Bert van der Veen <bert_van_der_veen@hotmail.com>
Description: Implementation of methods for minimizing ill-conditioned problems. Currently only includes regularized (quasi-)newton optimization (Kanzow and Steck et al. (2023), <doi:10.1007/s12532-023-00238-4>).
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp, RcppEigen
URL: https://github.com/BertvanderVeen/minic
BugReports: https://github.com/BertvanderVeen/minic/issues
NeedsCompilation: yes
Packaged: 2024-06-21 16:12:41 UTC; bertv
Author: Bert van der Veen [aut, cre]
Repository: CRAN
Date/Publication: 2024-06-24 12:50:02 UTC

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New package JuliaFormulae with initial version 0.1.0
Package: JuliaFormulae
Title: Translate R Regression Model Formulae to 'Julia' Syntax
Version: 0.1.0
Description: Metaprogramming utilities for converting R regression model formulae to equivalents in 'Julia' <doi:10.1137/141000671>, via modifications to the abstract syntax tree. Supports translations in zero correlation random effects syntax, protection of expressions to be evaluated as-is, interaction terms, and more. Accepts strings or R formula objects and returns modified R formula objects where possible (or a modified string, if not a valid formula in R).
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: rrapply, stats, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-06-21 11:58:43 UTC; jchoe
Author: June Choe [aut, cre]
Maintainer: June Choe <jchoe001@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-24 12:10:09 UTC

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New package jcalendaR with initial version 0.1.0
Package: jcalendaR
Title: Interconversion Between the Japanese Calendar System and the Western Calendar
Version: 0.1.0
Description: This is a set of simple utility functions to perform mutual conversion between the current Japanese calendar system that Wareki, the old Japanese calendar system that the Kyureki calendar and the Julian and Gregorian calendar. To calculate each calendar method, it converts to the Julian Day Number.
License: MIT + file LICENSE
URL: https://github.com/indenkun/jcalendaR
BugReports: https://github.com/indenkun/jcalendaR/issues
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-06-21 11:30:03 UTC; kobayashi
Author: Mao Kobayashi [aut, cre]
Maintainer: Mao Kobayashi <kobamao.jp@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-24 12:10:05 UTC

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Package geomorph updated to version 4.0.8 with previous version 4.0.7 dated 2024-03-05

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 4.0.7 dated 2024-03-05 and 4.0.8 dated 2024-06-24

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Package csalert updated to version 2024.6.24 with previous version 2023.6.17 dated 2023-06-15

Title: Alerts from Public Health Surveillance Data
Description: Helps create alerts and determine trends by using various methods to analyze public health surveillance data. The primary analysis method is based upon a published analytics strategy by Benedetti (2019) <doi:10.5588/pha.19.0002>.
Author: Beatriz Valcarcel Salamanca [aut], Chi Zhang [aut] , Richard Aubrey White [aut, cre] , CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>

Diff between csalert versions 2023.6.17 dated 2023-06-15 and 2024.6.24 dated 2024-06-24

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Package locfit updated to version 1.5-9.10 with previous version 1.5-9.9 dated 2024-03-01

Title: Local Regression, Likelihood and Density Estimation
Description: Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.
Author: Catherine Loader [aut], Jiayang Sun [ctb], Lucent Technologies [cph], Andy Liaw [cre]
Maintainer: Andy Liaw <andy_liaw@merck.com>

Diff between locfit versions 1.5-9.9 dated 2024-03-01 and 1.5-9.10 dated 2024-06-24

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Package ggupset updated to version 0.4.0 with previous version 0.3.0 dated 2020-05-05

Title: Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Description: Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
Author: Constantin Ahlmann-Eltze [aut, cre]
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

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Package SLCARE updated to version 1.2.0 with previous version 1.1.0 dated 2024-01-14

Title: Semiparametric Latent Class Analysis of Recurrent Events
Description: Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) <doi:10.1111/rssb.12499>. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.
Author: Qi Yu [aut, cre], Limin Peng [aut]
Maintainer: Qi Yu <qi.yu2@emory.edu>

Diff between SLCARE versions 1.1.0 dated 2024-01-14 and 1.2.0 dated 2024-06-24

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Package robin updated to version 1.2.0 with previous version 1.1.2 dated 2024-01-31

Title: ROBustness in Network
Description: Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) <https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.
Author: Valeria Policastro [aut, cre], Dario Righelli [aut], Luisa Cutillo [aut], Italia De Feis [aut], Annamaria Carissimo [aut]
Maintainer: Valeria Policastro <valeria.policastro@gmail.com>

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Package emayili updated to version 0.9.1 with previous version 0.8.0 dated 2024-04-23

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

Diff between emayili versions 0.8.0 dated 2024-04-23 and 0.9.1 dated 2024-06-24

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Package x13binary updated to version 1.1.61 with previous version 1.1.60 dated 2024-01-22

Title: Provide the 'x13ashtml' Seasonal Adjustment Binary
Description: The US Census Bureau provides a seasonal adjustment program now called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau offers both source and binary versions -- which this package integrates for use by other R packages.
Author: Dirk Eddelbuettel [aut, cre] , Christoph Sax [aut] , Kirill Mueller [ctb] , Jeroen Ooms [ctb] , Michael Antonov [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between x13binary versions 1.1.60 dated 2024-01-22 and 1.1.61 dated 2024-06-24

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Package GeomArchetypal updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-01

Title: Finds the Geometrical Archetypal Analysis of a Data Frame
Description: Performs Geometrical Archetypal Analysis after creating Grid Archetypes which are the Cartesian Product of all minimum, maximum variable values. Since the archetypes are fixed now, we have the ability to compute the convex composition coefficients for all our available data points much faster by using the half part of Principal Convex Hull Archetypal method. Additionally we can decide to keep as archetypes the closer to the Grid Archetypes ones. Finally the number of archetypes is always 2 to the power of the dimension of our data points if we consider them as a vector space. Cutler, A., Breiman, L. (1994) <doi:10.1080/00401706.1994.10485840>. Morup, M., Hansen, LK. (2012) <doi:10.1016/j.neucom.2011.06.033>. Christopoulos, DT. (2024) <doi:10.13140/RG.2.2.14030.88642>.
Author: Demetris Christopoulos [aut, cre, cph], David Midgley [ctb, cph], Sunil Venaik [ctb], INSEAD Hoffmann Institute France [fnd], The University of Queensland Australia [fnd]
Maintainer: Demetris Christopoulos <dchristop@econ.uoa.gr>

Diff between GeomArchetypal versions 1.0.1 dated 2024-06-01 and 1.0.2 dated 2024-06-24

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