Fri, 27 Sep 2024

Package BranchGLM updated to version 3.0.1 with previous version 3.0.0 dated 2024-08-21

Title: Efficient Best Subset Selection for GLMs via Branch and Bound Algorithms
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jacob-seedorff@uiowa.edu>

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Package tram updated to version 1.1-1 with previous version 1.1-0 dated 2024-09-26

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) can be fitted as well.
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Sandra Siegfried [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package EGAnet updated to version 2.0.8 with previous version 2.0.7 dated 2024-09-02

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package simmer updated to version 4.4.7 with previous version 4.4.6.4 dated 2024-07-05

Title: Discrete-Event Simulation for R
Description: A process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. It is designed as a generic yet powerful framework. The architecture encloses a robust and fast simulation core written in 'C++' with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the simulation model for entities of the same type. Documentation about 'simmer' is provided by several vignettes included in this package, via the paper by Ucar, Smeets & Azcorra (2019, <doi:10.18637/jss.v090.i02>), and the paper by Ucar, Hernández, Serrano & Azcorra (2018, <doi:10.1109/MCOM.2018.1700960>); see 'citation("simmer")' for details.
Author: Inaki Ucar [aut, cph, cre] , Bart Smeets [aut, cph]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package samplingin updated to version 1.1.1 with previous version 1.1.0 dated 2024-05-11

Title: Dynamic Survey Sampling Solutions
Description: A robust solution employing the SRS (Simple Random Sampling), systematic and PPS (Probability Proportional to Size) sampling methods, ensuring a methodical and representative selection of data. Seamlessly allocate predetermined allocations to smaller levels.
Author: Choerul Afifanto [aut, cre, cph]
Maintainer: Choerul Afifanto <choerulafifanto@gmail.com>

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Package vol2birdR updated to version 1.0.5 with previous version 1.0.4 dated 2024-08-22

Title: Vertical Profiles of Biological Signals in Weather Radar Data
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <vol2birdr@cornell.edu>

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Package TPMplt updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-19

Title: Tool-Kit for Dynamic Materials Model and Thermal Processing Maps
Description: Provides a simple approach for constructing dynamic materials modeling suggested by Prasad and Gegel (1984) <doi:10.1007/BF02664902>. It can easily generate various processing-maps based on this model as well. The calculation result in this package contains full materials constants, information about power dissipation efficiency factor, and rheological properties, can be exported completely also, through which further analysis and customized plots will be applicable as well.
Author: Chen, Zhang [aut, cre, cph] , Huakang, Bian [ctb], Kenta, Yamanaka [ths] , Akihiko, Chiba [ths]
Maintainer: "Chen, Zhang" <chen.zhang_06sept@foxmail.com>

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Package normfluodbf updated to version 2.0.0 with previous version 1.5.2 dated 2023-11-28

Title: Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome' Flux Assays
Description: Cleans and Normalizes FLUOstar DBF and DAT Files obtained from liposome flux assays. Users should verify extended usage of the package on files from other assay types.
Author: Tingwei Adeck [aut, cre, cph] , Tesla Adeck [cph], Amina Adeck [cph]
Maintainer: Tingwei Adeck <awesome.tingwei@outlook.com>

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Package mmrm updated to version 0.3.14 with previous version 0.3.13 dated 2024-09-23

Title: Mixed Models for Repeated Measures
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Author: Daniel Sabanes Bove [aut, cre] , Liming Li [aut], Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Christian Stock [aut], Ya Wang [aut], Craig Gower-Page [ctb], Dan James [aut], Jonathan Sidi [aut], Daniel Leibo [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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Package mable updated to version 4.1.0 with previous version 3.1.3 dated 2023-08-24

Title: Maximum Approximate Bernstein/Beta Likelihood Estimation
Description: Fit data from a continuous population with a smooth density on finite interval by an approximate Bernstein polynomial model which is a mixture of certain beta distributions and find maximum approximate Bernstein likelihood estimator of the unknown coefficients. Consequently, maximum likelihood estimates of the unknown density, distribution functions, and more can be obtained. If the support of the density is not the unit interval then transformation can be applied. This is an implementation of the methods proposed by the author of this package published in the Journal of Nonparametric Statistics: Guan (2016) <doi:10.1080/10485252.2016.1163349> and Guan (2017) <doi:10.1080/10485252.2017.1374384>. For data with covariates, under some semiparametric regression models such as Cox proportional hazards model and the accelerated failure time model, the baseline survival function can be estimated smoothly based on general interval censored data.
Author: Zhong Guan [aut, cre]
Maintainer: Zhong Guan <zguan@iu.edu>

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Package GeoModels updated to version 2.0.5 with previous version 2.0.4 dated 2024-07-09

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

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Package flowchart updated to version 0.5.1 with previous version 0.5.0 dated 2024-09-26

Title: Tidy Flowchart Generator
Description: Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.
Author: Pau Satorra [aut, cre] , Joao Carmezim [aut] , Natalia Pallares [aut] , Cristian Tebe [aut]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package pacs updated to version 0.6.0 with previous version 0.5.1 dated 2023-08-18

Title: Supplementary Tools for R Packages Developers
Description: Supplementary utils for CRAN maintainers and R packages developers. Validating the library, packages and lock files. Exploring a complexity of a specific package like evaluating its size in bytes with all dependencies. The shiny app complexity could be explored too. Assessing the life duration of a specific package version. Checking a CRAN package check page status for any errors and warnings. Retrieving a DESCRIPTION or NAMESPACE file for any package version. Comparing DESCRIPTION or NAMESPACE files between different package versions. Getting a list of all releases for a specific package. The Bioconductor is partly supported.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

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Package gdm updated to version 1.6.0-2 with previous version 1.6.0-1 dated 2024-09-10

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, summarize, and apply Generalized Dissimilarity Models. Mokany K, Ware C, Woolley SNC, Ferrier S, Fitzpatrick MC (2022) <doi:10.1111/geb.13459> Ferrier S, Manion G, Elith J, Richardson K (2007) <doi:10.1111/j.1472-4642.2007.00341.x>.
Author: Matt Fitzpatrick [aut, cre] , Karel Mokany [aut] , Glenn Manion [aut], Diego Nieto-Lugilde [aut] , Simon Ferrier [aut] , Roozbeh Valavi [ctb], Matthew Lisk [ctb], Chris Ware [ctb], Skip Woolley [ctb], Tom Harwood [ctb]
Maintainer: Matt Fitzpatrick <mfitzpatrick@umces.edu>

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Package rbch updated to version 0.1-2 with previous version 0.1-1 dated 2022-01-10

Title: Extraction and Analysis of Data from the Bitcoin Cash (BCH) Blockchain
Description: Issues RPC-JSON calls to 'bitcoind', the daemon of Bitcoin Cash (BCH), to extract transaction data from the blockchain. BCH is a fork of Bitcoin that permits a greater number of transactions per second. A BCH daemon is available under an MIT license from the Bitcoin Unlimited website <https://www.bitcoinunlimited.info>.
Author: Rucknium [cre, aut, cph] , Bernhard Pfaff [aut, cph]
Maintainer: Rucknium <Rucknium@protonmail.com>

Diff between rbch versions 0.1-1 dated 2022-01-10 and 0.1-2 dated 2024-09-27

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Permanent link

Package PubChemR updated to version 2.1 with previous version 2.0.1 dated 2024-08-21

Title: Interface to the 'PubChem' Database for Chemical Data Retrieval
Description: Provides an interface to the 'PubChem' database via the PUG REST <https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest> and PUG View <https://pubchem.ncbi.nlm.nih.gov/docs/pug-view> services. This package allows users to automatically access chemical and biological data from 'PubChem', including compounds, substances, assays, and various other data types. Functions are available to retrieve data in different formats, perform searches, and access detailed annotations.
Author: Selcuk Korkmaz [aut, cre] , Bilge Eren Yamasan [aut] , Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between PubChemR versions 2.0.1 dated 2024-08-21 and 2.1 dated 2024-09-27

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More information about PubChemR at CRAN
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Package plotor updated to version 0.5.1 with previous version 0.4.1 dated 2024-06-18

Title: Produces an Odds Ratio Plot from a Logistic Regression Model
Description: Produces an Odds Ratio (OR) Plot to visualise the result of a logistic regression analysis. Provide it with a binomial regression model produced by 'glm()' and it will convert the estimates to odds ratios with a 95% confidence interval and plot the results using 'ggplot2'.
Author: Craig Parylo [aut, cre, cph]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

Diff between plotor versions 0.4.1 dated 2024-06-18 and 0.5.1 dated 2024-09-27

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Package mixedBayes updated to version 0.1.3 with previous version 0.1.2 dated 2024-02-16

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: In longitudinal studies, the same subjects are measured repeatedly over time, leading to correlations among the repeated measurements. Properly accounting for the intra-cluster correlations in the presence of data heterogeneity and long tailed distributions of the disease phenotype is challenging, especially in the context of high dimensional regressions. Here, we aim at developing novel Bayesian regularized quantile mixed effect models to tackle these challenges. We have proposed a Bayesian variable selection in the mixed effect models for longitudinal genomics studies. To dissect important gene - environment interactions, our model can simultaneously identify important main and interaction effects on the individual and group level, which have been facilitated by imposing the spike- and -slab priors through Laplacian shrinkage in the Bayesian quantile hierarchical models. The within - subject dependence among data can be accommodated by incorporating the random effects. An efficient G [...truncated...]
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package lm.br updated to version 2.9.8 with previous version 2.9.7 dated 2024-02-17

Title: Linear Model with Breakpoint
Description: Exact significance tests for a changepoint in linear or multiple linear regression. Confidence regions with exact coverage probabilities for the changepoint. Based on Knowles, Siegmund and Zhang (1991) <doi:10.1093/biomet/78.1.15>.
Author: Marc Adams [aut, cre], authors of R function 'lm' [ctb] , authors of 'lm.gls' [ctb] , U.S. NIST [ctb]
Maintainer: Marc Adams <lm.br.pkg@gmail.com>

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Package vistla updated to version 2.0.3 with previous version 2.0.2 dated 2024-06-06

Title: Detecting Influence Paths with Information Theory
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package gastempt updated to version 0.6.1 with previous version 0.5.5 dated 2022-05-02

Title: Analyzing Gastric Emptying from MRI or Scintigraphy
Description: Fits gastric emptying time series from MRI or 'scintigraphic' measurements using nonlinear mixed-model population fits with 'nlme' and Bayesian methods with Stan; computes derived parameters such as t50 and AUC.
Author: Dieter Menne [aut, cre]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

Diff between gastempt versions 0.5.5 dated 2022-05-02 and 0.6.1 dated 2024-09-27

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Package msmtools (with last version 2.0.1) was removed from CRAN

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

2021-04-12 2.0.1
2021-04-07 2.0.0
2017-06-08 1.3
2016-06-21 1.2
2016-05-04 1.1
2016-04-26 1.0

Permanent link
Package EnrichDO (with last version 0.1-1) was removed from CRAN

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

2024-09-19 0.1-1

Permanent link
Package shinyCohortBuilder updated to version 0.3.0 with previous version 0.2.1 dated 2023-08-28

Title: Modular Cohort-Building Framework for Analytical Dashboards
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

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Package rpact updated to version 4.1.0 with previous version 4.0.0 dated 2024-05-31

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut] , Friedrich Pahlke [aut, cre] , Till Jensen [ctb], Stephen Schueuerhuis [ctb], Tobias Muetze [ctb]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Package robustbase updated to version 0.99-4-1 with previous version 0.99-4 dated 2024-08-19

Title: Basic Robust Statistics
Description: "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [ctb] , Christophe Croux [ctb] , Valentin Todorov [aut] , Andreas Ruckstuhl [aut] , Matias Salibian-Barrera [aut] , Tobias Verbeke [ctb, fnd] , Manuel Koller [aut] , Eduardo L. T. Conceicao [aut] , Maria A [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package naryn updated to version 2.6.30 with previous version 2.6.26 dated 2024-01-15

Title: Native Access Medical Record Retriever for High Yield Analytics
Description: A toolkit for medical records data analysis. The 'naryn' package implements an efficient data structure for storing medical records, and provides a set of functions for data extraction, manipulation and analysis.
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Ben Gilat [aut], Netta Mendelson-Cohen [ctb], Rami Jaschek [ctb], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package fancycut updated to version 0.1.3 with previous version 0.1.2 dated 2018-06-26

Title: A Fancy Version of 'base::cut'
Description: Provides the function fancycut() which is like cut() except you can mix left open and right open intervals with point values, intervals that are closed on both ends and intervals that are open on both ends.
Author: Adam Rich [aut, cre, cph] , Richie Cotton [ctb]
Maintainer: Adam Rich <adam@adamleerich.com>

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Package cmsaf updated to version 3.5.2 with previous version 3.5.1 dated 2024-05-07

Title: A Toolbox for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsaf' R-package includes a 'shiny' based interface for an easy application of the 'cmsafops' and 'cmsafvis' packages - the CM SAF R Toolbox. The Toolbox offers an easy way to prepare, manipulate, analyse and visualize CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cm [...truncated...]
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package transreg updated to version 1.0.3 with previous version 1.0.2 dated 2023-11-11

Title: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')
Description: Improves the predictive performance of ridge and lasso regression exploiting one or more sources of prior information on the importance and direction of effects (Rauschenberger and others 2023, <doi:10.1093/bioinformatics/btad680>). For running the vignette (optional), install 'fwelnet' from 'GitHub' <https://github.com/kjytay/fwelnet>.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package rgbif updated to version 3.8.1 with previous version 3.8.0 dated 2024-05-23

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

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Package joinet updated to version 1.0.0 with previous version 0.0.10 dated 2021-08-09

Title: Penalised Multivariate Regression ('Multi-Target Learning')
Description: Implements penalised multivariate regression (i.e., for multiple outcomes and many features) by stacked generalisation (<doi:10.1093/bioinformatics/btab576>). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement. For optional comparisons, install 'remMap' from GitHub (<https://github.com/cran/remMap>).
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package forward updated to version 1.0.7 with previous version 1.0.6 dated 2022-05-09

Title: Robust Analysis using Forward Search
Description: Robust analysis using forward search in linear and generalized linear regression models, as described in Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer.
Author: Kjell Konis [aut], Marco Riani [aut], Luca Scrucca [ctb], Ken Beath [aut, cre]
Maintainer: Ken Beath <ken@kjbeath.id.au>

Diff between forward versions 1.0.6 dated 2022-05-09 and 1.0.7 dated 2024-09-27

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Package BFS updated to version 0.5.10 with previous version 0.5.9 dated 2024-09-26

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

Diff between BFS versions 0.5.9 dated 2024-09-26 and 0.5.10 dated 2024-09-27

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Package arcgisgeocode updated to version 0.2.2 with previous version 0.2.1 dated 2024-08-02

Title: A Robust Interface to ArcGIS 'Geocoding Services'
Description: A very fast and robust interface to ArcGIS 'Geocoding Services'. Provides capabilities for reverse geocoding, finding address candidates, character-by-character search autosuggestion, and batch geocoding. The public 'ArcGIS World Geocoder' is accessible for free use via 'arcgisgeocode' for all services except batch geocoding. 'arcgisgeocode' also integrates with 'arcgisutils' to provide access to custom locators or private 'ArcGIS World Geocoder' hosted on 'ArcGIS Enterprise'. Learn more in the 'Geocode service' API reference <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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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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Package readrba updated to version 0.1.11 with previous version 0.1.10 dated 2024-08-17

Title: Download and Tidy Data from the Reserve Bank of Australia
Description: Download up-to-date data from the Reserve Bank of Australia in a tidy data frame. Package includes functions to download current and historical statistical tables (<https://www.rba.gov.au/statistics/tables/>) and forecasts (<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data includes a broad range of Australian macroeconomic and financial time series.
Author: Matt Cowgill [aut, cre] , Angus Moore [ctb]
Maintainer: Matt Cowgill <mattcowgill@gmail.com>

Diff between readrba versions 0.1.10 dated 2024-08-17 and 0.1.11 dated 2024-09-27

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Package ecmwfr updated to version 2.0.2 with previous version 2.0.1 dated 2024-09-20

Title: Interface to 'ECMWF' and 'CDS' Data Web Services
Description: Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; <https://www.ecmwf.int/>) and Copernicus's Data Stores. Allows for easy downloads of weather forecasts and climate reanalysis data in R. Data stores covered include the Climate Data Store (CDS; <https://cds.climate.copernicus.eu>), Atmosphere Data Store (ADS; <https://ads.atmosphere.copernicus.eu>) and Early Warning Data Store (CEMS; <https://ewds.climate.copernicus.eu>).
Author: Koen Hufkens [aut, cre, cph] , Reto Stauffer [ctb] , Elio Campitelli [ctb] , BlueGreen Labs [fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

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Package FuzzyImputationTest updated to version 0.3.0 with previous version 0.2.0 dated 2024-09-09

Title: Imputation Procedures and Quality Tests for Fuzzy Data
Description: Special procedures for the imputation of missing fuzzy numbers are still underdeveloped. The goal of the package is to provide the new d-imputation method (DIMP for short, Romaniuk, M. and Grzegorzewski, P. (2023) "Fuzzy Data Imputation with DIMP and FGAIN" RB/23/2023) and covert some classical ones applied in R packages ('missForest','miceRanger','knn') for use with fuzzy datasets. Additionally, specially tailored benchmarking tests are provided to check and compare these imputation procedures with fuzzy datasets.
Author: Maciej Romaniuk [cre, aut]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

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Package bonsaiforest updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-17

Title: Shrinkage Based Forest Plots
Description: Subgroup analyses are routinely performed in clinical trial analyses. From a methodological perspective, two key issues of subgroup analyses are multiplicity (even if only predefined subgroups are investigated) and the low sample sizes of subgroups which lead to highly variable estimates, see e.g. Yusuf et al (1991) <doi:10.1001/jama.1991.03470010097038>. This package implements subgroup estimates based on Bayesian shrinkage priors, see Carvalho et al (2019) <https://proceedings.mlr.press/v5/carvalho09a.html>. In addition, estimates based on penalized likelihood inference are available, based on Simon et al (2011) <doi:10.18637/jss.v039.i05>. The corresponding shrinkage based forest plots address the aforementioned issues and can complement standard forest plots in practical clinical trial analyses.
Author: Mar Vazquez Rabunal [aut], Daniel Sabanes Bove [aut], Marcel Wolbers [aut], Isaac Gravestock [cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

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Package robmixglm updated to version 1.2-4 with previous version 1.2-3 dated 2022-05-10

Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken@kjbeath.id.au>

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Package powerNLSEM updated to version 0.1.2 with previous version 0.1.1 dated 2024-07-31

Title: Simulation-Based Power Estimation (MSPE) for Nonlinear SEM
Description: Model-implied simulation-based power estimation (MSPE) for nonlinear (and linear) SEM, path analysis and regression analysis. A theoretical framework is used to approximate the relation between power and sample size for given type I error rates and effect sizes. The package offers an adaptive search algorithm to find the optimal N for given effect sizes and type I error rates. Plots can be used to visualize the power relation to N for different parameters of interest (POI). Theoretical justifications are given in Irmer et al. (2024a) <doi:10.31219/osf.io/pe5bj> and detailed description are given in Irmer et al. (2024b) <doi:10.3758/s13428-024-02476-3>.
Author: Julien Patrick Irmer [aut, cre, cph]
Maintainer: Julien Patrick Irmer <jpirmer@gmail.com>

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Package cccrm updated to version 3.0.2 with previous version 2.2.2 dated 2024-04-10

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.
Author: Josep Lluis Carrasco [aut, cre], Gonzalo Peon Pena [aut]
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

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Package secrdesign updated to version 2.9.2 with previous version 2.9.1 dated 2024-04-20

Title: Sampling Design for Spatially Explicit Capture-Recapture
Description: Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.
Author: Murray Efford [aut, cre] , Ian Durbach [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between secrdesign versions 2.9.1 dated 2024-04-20 and 2.9.2 dated 2024-09-27

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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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Package atime updated to version 2024.9.25 with previous version 2024.4.23 dated 2024-04-29

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.4.23 dated 2024-04-29 and 2024.9.25 dated 2024-09-27

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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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Package car updated to version 3.1-3 with previous version 3.1-2 dated 2023-03-30

Title: Companion to Applied Regression
Description: Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage, 2019.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Ben Bolker [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [c [...truncated...]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between car versions 3.1-2 dated 2023-03-30 and 3.1-3 dated 2024-09-27

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Package speccurvieR updated to version 0.4.1 with previous version 0.4.0 dated 2024-09-18

Title: Easy, Fast, and Pretty Specification Curve Analysis
Description: Making specification curve analysis easy, fast, and pretty. It improves upon existing offerings with additional features and 'tidyverse' integration. Users can easily visualize and evaluate how their models behave under different specifications with a high degree of customization. For a description and applications of specification curve analysis see Simonsohn, Simmons, and Nelson (2020) <doi:10.1038/s41562-020-0912-z>.
Author: Zayne Sember [aut, cre, cph]
Maintainer: Zayne Sember <zsember@ucsd.edu>

Diff between speccurvieR versions 0.4.0 dated 2024-09-18 and 0.4.1 dated 2024-09-27

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