Thu, 26 Sep 2024

Package fasstr updated to version 0.5.3 with previous version 0.5.2 dated 2024-03-28

Title: Analyze, Summarize, and Visualize Daily Streamflow Data
Description: The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various functions to tidy and screen daily stream discharge data, calculate and visualize various summary statistics and metrics, and compute annual trending and volume frequency analyses. It features useful function arguments for filtering of and handling dates, customizing data and metrics, and the ability to pull daily data directly from the Water Survey of Canada hydrometric database (<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>).
Author: Jon Goetz [aut, cre] , Carl James Schwarz [aut], Sam Albers [ctb] , Robin Pike [ctb], Province of British Columbia [cph]
Maintainer: Jon Goetz <jon.goetz@gov.bc.ca>

Diff between fasstr versions 0.5.2 dated 2024-03-28 and 0.5.3 dated 2024-09-26

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Package simCAT updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-08

Title: Implements Computerized Adaptive Testing Simulations
Description: Computerized Adaptive Testing simulations with dichotomous and polytomous items. Selects items with Maximum Fisher Information method or randomly, with or without constraints (content balancing and item exposure control). Evaluates the simulation results in terms of precision, item exposure, and test length. Inspired on Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>.
Author: Alexandre Jaloto [aut, cre] , Ricardo Primi [ths]
Maintainer: Alexandre Jaloto <alexandrejaloto@gmail.com>

Diff between simCAT versions 1.0.0 dated 2024-03-08 and 1.0.1 dated 2024-09-26

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Package DNAmotif updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-04

Title: DNA Sequence Motifs
Description: Motifs within biological sequences show a significant role. This package utilizes a user-defined threshold value (window size and similarity) to create consensus segments or motifs through local alignment of dynamic programming with gap and it calculates the frequency of each identified motif, offering a detailed view of their prevalence within the dataset. It allows for thorough exploration and understanding of sequence patterns and their biological importance.
Author: Subham Ghosh [aut, cre], UB Angadi [aut], Md Yeasin [aut], Dipro Sinha [aut], Saikath Das [aut], Mir Asif Iquebal [aut], Sarika [aut]
Maintainer: Subham Ghosh <search4aghosh@gmail.com>

Diff between DNAmotif versions 0.1.0 dated 2024-06-04 and 0.1.1 dated 2024-09-26

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Package AirMonitor updated to version 0.4.2 with previous version 0.4.0 dated 2024-02-10

Title: Air Quality Data Analysis
Description: Utilities for working with hourly air quality monitoring data with a focus on small particulates (PM2.5). A compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Algorithms to calculate NowCast and the associated Air Quality Index (AQI) are defined at the US Environmental Projection Agency AirNow program: <https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.
Author: Jonathan Callahan [aut, cre], Spencer Pease [ctb], Hans Martin [ctb], Rex Thompson [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between AirMonitor versions 0.4.0 dated 2024-02-10 and 0.4.2 dated 2024-09-26

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Package sensmediation updated to version 0.3.1 with previous version 0.3.0 dated 2019-06-03

Title: Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects
Description: We implement functions to estimate and perform sensitivity analysis to unobserved confounding of direct and indirect effects introduced in Lindmark, de Luna and Eriksson (2018) <doi:10.1002/sim.7620> and Lindmark (2022) <doi:10.1007/s10260-021-00611-4>. The estimation and sensitivity analysis are parametric, based on probit and/or linear regression models. Sensitivity analysis is implemented for unobserved confounding of the exposure-mediator, mediator-outcome and exposure-outcome relationships.
Author: Anita Lindmark [aut, cre]
Maintainer: Anita Lindmark <anita.lindmark@umu.se>

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Package palasso updated to version 1.0.0 with previous version 0.0.9 dated 2024-02-15

Title: Sparse Regression with Paired Covariates
Description: Implements sparse regression with paired covariates (<doi:10.1007/s11634-019-00375-6>). The paired lasso is designed for settings where each covariate in one set forms a pair with a covariate in the other set (one-to-one correspondence). For the optional correlation shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package Lahman updated to version 12.0-0 with previous version 11.0-0 dated 2023-05-04

Title: Sean 'Lahman' Baseball Database
Description: Provides the tables from the 'Sean Lahman Baseball Database' as a set of R data.frames. It uses the data on pitching, hitting and fielding performance and other tables from 1871 through 2023, as recorded in the 2024 version of the database. Documentation examples show how many baseball questions can be investigated.
Author: Michael Friendly [aut], Chris Dalzell [cre, aut], Martin Monkman [aut], Dennis Murphy [aut], Vanessa Foot [ctb], Justeena Zaki-Azat [ctb], Sean Lahman [cph]
Maintainer: Chris Dalzell <cdalzell@gmail.com>

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Package heiscore updated to version 0.1.4 with previous version 0.1.3 dated 2024-07-30

Title: Score and Plot the Healthy Eating Index from NHANES Data
Description: Calculate and visualize Healthy Eating Index (HEI) scores from National Health and Nutrition Examination Survey 24-hour dietary recall data utilizing three methods recommended by the National Cancer Institute (2024) <https://epi.grants.cancer.gov/hei/hei-methods-and-calculations.html#:~:text=To%20use%20the%20simple%20HEI,the%20total%20scores%20across%20individuals.>. Effortlessly analyze HEI scores across different demographic groups and years.
Author: Vijetha Ramdas [aut, cre], Berkeley Ho [aut], Abhra Sarkar [aut]
Maintainer: Vijetha Ramdas <vramdas06@gmail.com>

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Package glmmTMB updated to version 1.1.10 with previous version 1.1.9 dated 2024-03-20

Title: Generalized Linear Mixed Models using Template Model Builder
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
Author: Mollie Brooks [aut, cre] , Ben Bolker [aut] , Kasper Kristensen [aut], Martin Maechler [aut] , Arni Magnusson [aut] , Maeve McGillycuddy [ctb], Hans Skaug [aut] , Anders Nielsen [aut] , Casper Berg [aut] , Koen van Bentham [aut], Nafis Sadat [ctb] , [...truncated...]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>

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Package cornet updated to version 1.0.0 with previous version 0.0.9 dated 2023-08-11

Title: Penalised Regression for Dichotomised Outcomes
Description: Implements lasso and ridge regression for dichotomised outcomes (<doi:10.1080/02664763.2023.2233057>), i.e., numerical outcomes that were transformed to binary outcomes. Such artificial binary outcomes indicate whether an underlying measurement is greater than a threshold.
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

Diff between cornet versions 0.0.9 dated 2023-08-11 and 1.0.0 dated 2024-09-26

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Package arcgisutils updated to version 0.3.1 with previous version 0.3.0 dated 2024-05-09

Title: ArcGIS Utility Functions
Description: Developer oriented utility functions designed to be used as the building blocks of R packages that work with ArcGIS Location Services. It provides functionality for authorization, Esri JSON construction and parsing, as well as other utilities pertaining to geometry and Esri type conversions. To support 'ArcGIS Pro' users, authorization can be done via 'arcgisbinding'. Installation instructions for 'arcgisbinding' can be found at <https://r.esri.com/r-bridge-site/docs/installation.html>.
Author: Josiah Parry [aut, cre] , Kenneth Vernon [ctb] , Martha Bass [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between arcgisutils versions 0.3.0 dated 2024-05-09 and 0.3.1 dated 2024-09-26

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Package rix updated to version 0.12.3 with previous version 0.12.1 dated 2024-09-25

Title: Reproducible Data Science Environments with 'Nix'
Description: Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the 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.
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>

Diff between rix versions 0.12.1 dated 2024-09-25 and 0.12.3 dated 2024-09-26

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Package RcmdrPlugin.UCA updated to version 5.1-2 with previous version 5.1-1 dated 2022-05-04

Title: UCA Rcmdr Plug-in
Description: Some extensions to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez [aut, cre]
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

Diff between RcmdrPlugin.UCA versions 5.1-1 dated 2022-05-04 and 5.1-2 dated 2024-09-26

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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

More information about NaileR at CRAN
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Package hqreg updated to version 1.4-1 with previous version 1.4 dated 2017-02-16

Title: Regularization Paths for Lasso or Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Description: Offers efficient algorithms for fitting regularization paths for lasso or elastic-net penalized regression models with Huber loss, quantile loss or squared loss. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.
Author: Congrui Yi [aut, cre]
Maintainer: Congrui Yi <eric.ycr@gmail.com>

Diff between hqreg versions 1.4 dated 2017-02-16 and 1.4-1 dated 2024-09-26

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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

More information about GauPro at CRAN
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Package tablerDash updated to version 0.1.5 with previous version 0.1.0 dated 2019-03-08

Title: 'Tabler' API for 'Shiny'
Description: 'R' interface to the 'Tabler' HTML template. See more here <https://tabler.io>. 'tablerDash' is a light 'Bootstrap 4' dashboard template. There are different layouts available such as a one page dashboard or a multi page template, where the navigation menu is contained in the navigation bar.
Author: David Granjon [aut, cre], RinteRface [cph], codecalm [ctb, cph] , Winston Chang [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

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Package sparseSVM updated to version 1.1-7 with previous version 1.1-6 dated 2018-06-02

Title: Solution Paths of Sparse High-Dimensional Support Vector Machine with Lasso or Elastic-Net Regularization
Description: Offers a fast algorithm for fitting solution paths of sparse SVM models with lasso or elastic-net regularization. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.
Author: Congrui Yi [aut, cre], Yaohui Zeng [aut]
Maintainer: Congrui Yi <eric.ycr@gmail.com>

Diff between sparseSVM versions 1.1-6 dated 2018-06-02 and 1.1-7 dated 2024-09-26

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Package spAbundance updated to version 0.2.0 with previous version 0.1.3 dated 2024-04-08

Title: Univariate and Multivariate Spatial Modeling of Species Abundance
Description: Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2022) <doi:10.18637/jss.v103.i05>. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 <doi:10.1111/j.0006-341X.2004.00142.x>) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) <doi:10.1890/03-3127>). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.
Author: Jeffrey Doser [aut, cre], Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>

Diff between spAbundance versions 0.1.3 dated 2024-04-08 and 0.2.0 dated 2024-09-26

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Package Infusion updated to version 2.2.0 with previous version 2.1.0 dated 2023-05-03

Title: Inference Using Simulation
Description: Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated. The package implements more advanced methods than the ones first described in: Rousset, Gouy, Almoyna and Courtiol (2017) <doi:10.1111/1755-0998.12627>.
Author: Francois Rousset [aut, cre, cph]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

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Package IJSE updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-25

Title: Infinite-Jackknife-Based Standard Errors for 'brms' Models
Description: Provides a function to calculate infinite-jackknife-based standard errors for fixed effects parameters in 'brms' models, handling both clustered and independent data. References: Ji et al. (2024) <doi:10.48550/arXiv.2407.09772>; Giordano et al. (2024) <doi:10.48550/arXiv.2305.06466>.
Author: Feng Ji [aut, cre] , JoonHo Lee [aut], Sophia Rabe-Hesketh [aut]
Maintainer: Feng Ji <f.ji@utoronto.ca>

Diff between IJSE versions 0.1.0 dated 2024-09-25 and 0.1.1 dated 2024-09-26

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Package flowchart updated to version 0.5.0 with previous version 0.4.0 dated 2024-05-29

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 CompExpDes updated to version 1.0.4 with previous version 1.0.3 dated 2024-09-03

Title: Computer Experiment Designs
Description: In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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Package broom updated to version 1.0.7 with previous version 1.0.6 dated 2024-05-17

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut] , Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd], Indrajeet Patil [ctb] , Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Be [...truncated...]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package braidrm updated to version 1.0.3 with previous version 0.71 dated 2016-03-07

Title: Fitting Combined Action with the BRAID Response Surface Model
Description: Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Doses (BRAID) model of combined action, along with tools for implementing other combination analysis methods, including Bliss independence, combination index, and additional response surface methods.
Author: Anang Shelat [aut], Nathaniel R. Twarog [aut, cre]
Maintainer: Nathaniel R. Twarog <nathaniel.twarog@stjude.org>

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Package BFS updated to version 0.5.9 with previous version 0.5.8 dated 2024-02-23

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 0.5.8 dated 2024-02-23 and 0.5.9 dated 2024-09-26

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Package rdracor updated to version 1.0.4 with previous version 1.0.3 dated 2024-04-03

Title: Access to the 'DraCor' API
Description: Provide an interface for 'Drama Corpora Project' ('DraCor') API: <https://dracor.org/documentation/api>.
Author: Ivan Pozdniakov [aut, cre]
Maintainer: Ivan Pozdniakov <bucherr@yandex.ru>

Diff between rdracor versions 1.0.3 dated 2024-04-03 and 1.0.4 dated 2024-09-26

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Permanent link

Package LOMAR updated to version 0.5.0 with previous version 0.4.0 dated 2023-12-20

Title: Localization Microscopy Data Analysis
Description: Read, register and compare point sets from single molecule localization microscopy.
Author: Jean-Karim Heriche [cre, aut]
Maintainer: Jean-Karim Heriche <heriche@embl.de>

Diff between LOMAR versions 0.4.0 dated 2023-12-20 and 0.5.0 dated 2024-09-26

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Package tram updated to version 1.1-0 with previous version 1.0-6 dated 2024-09-18

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>

Diff between tram versions 1.0-6 dated 2024-09-18 and 1.1-0 dated 2024-09-26

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Package gto updated to version 0.1.2 with previous version 0.1.1 dated 2023-04-03

Title: Insert 'gt' Tables into Word Documents
Description: Insert tables created by the 'gt' R package into 'Microsoft Word' documents. This gives users the ability to add to their existing word documents the tables made in 'gt' using the familiar 'officer' package and syntax from the 'officeverse'.
Author: Ellis Hughes [aut, cre] , GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Ellis Hughes <ellis.h.hughes@gsk.com>

Diff between gto versions 0.1.1 dated 2023-04-03 and 0.1.2 dated 2024-09-26

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Package evola updated to version 1.0.2 with previous version 1.0.1 dated 2024-08-28

Title: Evolutionary Algorithm
Description: Runs a genetic algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> and the coalescent simulator 'MaCS' <doi:10.1101/gr.083634.108>.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between evola versions 1.0.1 dated 2024-08-28 and 1.0.2 dated 2024-09-26

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Package b64 updated to version 0.1.3 with previous version 0.1.2 dated 2024-07-31

Title: Fast and Vectorized Base 64 Engine
Description: Provides a fast, lightweight, and vectorized base 64 engine to encode and decode character and raw vectors as well as files stored on disk. Common base 64 alphabets are supported out of the box including the standard, URL-safe, bcrypt, crypt, 'BinHex', and IMAP-modified UTF-7 alphabets. Custom engines can be created to support unique base 64 encoding and decoding needs.
Author: Josiah Parry [aut, cre] , Etienne Bacher [ctb]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between b64 versions 0.1.2 dated 2024-07-31 and 0.1.3 dated 2024-09-26

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Package tarchetypes updated to version 0.10.0 with previous version 0.9.0 dated 2024-04-17

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between tarchetypes versions 0.9.0 dated 2024-04-17 and 0.10.0 dated 2024-09-26

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Package switchSelection updated to version 2.0.0 with previous version 1.1.2 dated 2023-08-23

Title: Endogenous Switching and Sample Selection Regression Models
Description: Estimate the parameters of multivariate endogenous switching and sample selection models using methods described in Newey (2009) <doi:10.1111/j.1368-423X.2008.00263.x>, E. Kossova, B. Potanin (2018) <https://ideas.repec.org/a/ris/apltrx/0346.html>, E. Kossova, L. Kupriianova, B. Potanin (2020) <https://ideas.repec.org/a/ris/apltrx/0391.html> and E. Kossova, B. Potanin (2022) <https://ideas.repec.org/a/ris/apltrx/0455.html>.
Author: Bogdan Potanin [aut, cre, ctb], Sofiia Dolgikh [ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

Diff between switchSelection versions 1.1.2 dated 2023-08-23 and 2.0.0 dated 2024-09-26

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Package lavaan updated to version 0.6-19 with previous version 0.6-18 dated 2024-06-07

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre] , Terrence D. Jorgensen [aut] , Luc De Wilde [aut], Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsika [...truncated...]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

Diff between lavaan versions 0.6-18 dated 2024-06-07 and 0.6-19 dated 2024-09-26

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 MD5                            |  107 ++++++++++++++++++++---------------------
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 55 files changed, 992 insertions(+), 263 deletions(-)

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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

More information about erer at CRAN
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Package EBcoBART updated to version 1.1.0 with previous version 1.0.2 dated 2024-09-03

Title: Co-Data Learning for Bayesian Additive Regression Trees
Description: Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) <doi:10.48550/arXiv.2311.09997> for details.
Author: Jeroen M. Goedhart [aut, cre, cph] , Thomas Klausch [aut], Mark A. van de Wiel [aut], Vincent Dorie [ctb] , Hanarth Fonds [fnd]
Maintainer: Jeroen M. Goedhart <jeroengoed@gmail.com>

Diff between EBcoBART versions 1.0.2 dated 2024-09-03 and 1.1.0 dated 2024-09-26

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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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Package rioja updated to version 1.0-7 with previous version 1.0-6 dated 2023-10-19

Title: Analysis of Quaternary Science Data
Description: Constrained clustering, transfer functions, and other methods for analysing Quaternary science data.
Author: Steve Juggins [aut, cre]
Maintainer: Steve Juggins <Stephen.Juggins@ncl.ac.uk>

Diff between rioja versions 1.0-6 dated 2023-10-19 and 1.0-7 dated 2024-09-26

 DESCRIPTION       |   11 ++++++-----
 MD5               |   12 ++++++------
 build/partial.rdb |binary
 inst/ChangeLog    |    4 ++++
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Package httr2 updated to version 1.0.5 with previous version 1.0.4 dated 2024-09-13

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between httr2 versions 1.0.4 dated 2024-09-13 and 1.0.5 dated 2024-09-26

 DESCRIPTION                                  |    6 +--
 MD5                                          |   16 ++++-----
 NEWS.md                                      |    4 ++
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 tests/testthat/test-req-perform.R            |   10 ++---
 tests/testthat/test-req-promise.R            |    6 +++
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Package espadon updated to version 1.8.0 with previous version 1.7.4 dated 2024-08-01

Title: Easy Study of Patient DICOM Data in Oncology
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>

Diff between espadon versions 1.7.4 dated 2024-08-01 and 1.8.0 dated 2024-09-26

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Package dti updated to version 1.5.4.3 with previous version 1.5.4 dated 2023-09-06

Title: Analysis of Diffusion Weighted Imaging (DWI) Data
Description: Diffusion Weighted Imaging (DWI) is a Magnetic Resonance Imaging modality, that measures diffusion of water in tissues like the human brain. The package contains R-functions to process diffusion-weighted data. The functionality includes diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), modeling for high angular resolution diffusion weighted imaging (HARDI) using Q-ball-reconstruction and tensor mixture models, several methods for structural adaptive smoothing including POAS and msPOAS, and a streamline fiber tracking for tensor and tensor mixture models. The package provides functionality to manipulate and visualize results in 2D and 3D.
Author: Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Felix Anker [ctb]
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>

Diff between dti versions 1.5.4 dated 2023-09-06 and 1.5.4.3 dated 2024-09-26

 DESCRIPTION               |    8 +--
 MD5                       |   15 +++---
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 src/mixtensorpl.c         |  112 +++++++++++++++++++++++-----------------------
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 9 files changed, 115 insertions(+), 114 deletions(-)

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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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Package ream updated to version 1.0-5 with previous version 1.0-4 dated 2024-09-20

Title: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
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...]
Author: Raphael Hartmann [aut, cre] , Matthew Murrow [aut]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between ream versions 1.0-4 dated 2024-09-20 and 1.0-5 dated 2024-09-26

 DESCRIPTION            |    6 +++---
 MD5                    |    6 +++---
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 4 files changed, 9 insertions(+), 8 deletions(-)

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Package qbr updated to version 1.2.4 with previous version 1.2.3 dated 2023-08-23

Title: Access the 'Quickbase' JSON API
Description: Programmatically access the 'Quickbase' JSON API <https://developer.quickbase.com>. You supply parameters for an API call, 'qbr' delivers an http request to the API endpoint and returns its response. Outputs follow 'tidyverse' philosophy.
Author: John Erdmann [aut, cre], Keene State College [cph, fnd]
Maintainer: John Erdmann <john.erdmann@keene.edu>

Diff between qbr versions 1.2.3 dated 2023-08-23 and 1.2.4 dated 2024-09-26

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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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Package prior3D updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-23

Title: 3D Prioritization Algorithm
Description: Three-dimensional systematic conservation planning, conducting nested prioritization analyses across multiple depth levels and ensuring efficient resource allocation throughout the water column (Doxa et al. 2024 <doi:10.1111/gcb.16268>). It provides a structured workflow designed to address biodiversity conservation and management challenges in the 3 dimensions, while facilitating users’ choices and parameterization.
Author: Aggeliki Doxa [aut], Christos Adam [aut, cre], Nikolaos Nagkoulis [aut], Antonios Mazaris [aut], Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between prior3D versions 0.1.0 dated 2024-08-23 and 0.1.1 dated 2024-09-26

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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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Package cfr updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-12

Title: Estimate Disease Severity and Case Ascertainment
Description: Estimate the severity of a disease and ascertainment of cases, as discussed in Nishiura et al. (2009) <doi:10.1371/journal.pone.0006852>.
Author: Pratik R. Gupte [aut, cph] , Adam Kucharski [aut, cph, cre] , Tim Russell [aut, cph] , Joshua W. Lambert [rev] , Hugo Gruson [rev] , Tim Taylor [rev] , James M. Azam [rev] , Abdoelnaser M. Degoot [rev] , Sebastian Funk [rev]
Maintainer: Adam Kucharski <adam.kucharski@lshtm.ac.uk>

Diff between cfr versions 0.1.1 dated 2024-06-12 and 0.1.2 dated 2024-09-26

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Package roadoi updated to version 0.7.3 with previous version 0.7.2 dated 2022-03-04

Title: Find Free Versions of Scholarly Publications via Unpaywall
Description: This web client interfaces Unpaywall <https://unpaywall.org/products/api>, formerly oaDOI, a service finding free full-texts of academic papers by linking DOIs with open access journals and repositories. It provides unified access to various data sources for open access full-text links including Crossref and the Directory of Open Access Journals (DOAJ). API usage is free and no registration is required.
Author: Najko Jahn [aut, cre], Tuija Sonkkila [rev] , Ross Mounce [rev] , Anne Hobert [ctb] , Delwen Franzen [ctb]
Maintainer: Najko Jahn <najko.jahn@gmail.com>

Diff between roadoi versions 0.7.2 dated 2022-03-04 and 0.7.3 dated 2024-09-26

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Package rarestR updated to version 1.1.0 with previous version 1.0.3 dated 2024-09-20

Title: Rarefaction-Based Species Richness Estimator
Description: Calculate rarefaction-based alpha- and beta-diversity. Offer parametric extrapolation to estimate the total expected species in a single community and the total expected shared species between two communities. Visualize the curve-fitting for these estimators.
Author: Peng Zhao [aut, cre] , Yi Zou [aut]
Maintainer: Peng Zhao <pengzhao20@outlook.com>

Diff between rarestR versions 1.0.3 dated 2024-09-20 and 1.1.0 dated 2024-09-26

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Package TruncExpFam updated to version 1.2.0 with previous version 1.1.1 dated 2024-02-26

Title: Truncated Exponential Family
Description: Handles truncated members from the exponential family of probability distributions. Contains functions such as rtruncnorm() and dtruncpois(), which are truncated versions of rnorm() and dpois() from the stats package that also offer richer output containing, for example, the distribution parameters. It also provides functions to retrieve the original distribution parameters from a truncated sample by maximum-likelihood estimation.
Author: Rene Holst [aut], Waldir Leoncio [cre, aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between TruncExpFam versions 1.1.1 dated 2024-02-26 and 1.2.0 dated 2024-09-26

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 TruncExpFam-1.2.0/TruncExpFam/R/validateNaturalParms.R                        |    1 
 TruncExpFam-1.2.0/TruncExpFam/R/validateSupport.R                             |   79 +
 TruncExpFam-1.2.0/TruncExpFam/build/vignette.rds                              |binary
 TruncExpFam-1.2.0/TruncExpFam/inst/WORDLIST                                   |only
 TruncExpFam-1.2.0/TruncExpFam/inst/doc/Sampling_and_ML_estimation.html        |  303 ++---
 TruncExpFam-1.2.0/TruncExpFam/man/dtrunc.Rd                                   |   17 
 TruncExpFam-1.2.0/TruncExpFam/man/empiricalParameters.Rd                      |    2 
 TruncExpFam-1.2.0/TruncExpFam/man/genrtruncClass.Rd                           |    2 
 TruncExpFam-1.2.0/TruncExpFam/man/mlEstimationTruncDist.Rd                    |   12 
 TruncExpFam-1.2.0/TruncExpFam/man/natural2parameters.Rd                       |    2 
 TruncExpFam-1.2.0/TruncExpFam/man/parameters2natural.Rd                       |    2 
 TruncExpFam-1.2.0/TruncExpFam/man/print.trunc.Rd                              |    4 
 TruncExpFam-1.2.0/TruncExpFam/man/ptrunc.Rd                                   |only
 TruncExpFam-1.2.0/TruncExpFam/man/qtrunc.Rd                                   |only
 TruncExpFam-1.2.0/TruncExpFam/man/rtrunc.Rd                                   |   82 -
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-aliases.R                   |  148 ++
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-direct-sampling.R           |  508 +++++-----
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-dtrunc.R                    |    8 
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-empirical-parameters.R      |   14 
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-estimating-from-classless.R |   12 
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-parameters2natural.R        |    6 
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-printing.R                  |    2 
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-probdist.R                  |    8 
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-ptrunc-truncated-a.R        |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-ptrunc-truncated-ab.R       |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-ptrunc-truncated-b.R        |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-ptrunc-untruncated.R        |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-qtrunc-truncated-a.R        |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-qtrunc-truncated-ab.R       |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-qtrunc-truncated-b.R        |only
 TruncExpFam-1.2.0/TruncExpFam/tests/testthat/test-qtrunc-untruncated.R        |only
 69 files changed, 1245 insertions(+), 752 deletions(-)

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