Tue, 26 Mar 2024

Package tipsae updated to version 1.0.0 with previous version 0.0.18 dated 2023-09-18

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).
Author: Silvia De Nicolo [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolo <silvia.denicolo@unibo.it>

Diff between tipsae versions 0.0.18 dated 2023-09-18 and 1.0.0 dated 2024-03-26

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Package rswipl updated to version 9.3.3.1 with previous version 9.3.3 dated 2024-03-16

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rswipl versions 9.3.3 dated 2024-03-16 and 9.3.3.1 dated 2024-03-26

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More information about rswipl at CRAN
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Package lessR updated to version 4.3.1 with previous version 4.3.0 dated 2023-11-11

Title: Less Code, More Results
Description: Each function accomplishes the work of multiple standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for comprehensive summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and Trellis graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.3.0 dated 2023-11-11 and 4.3.1 dated 2024-03-26

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New package httk with initial version 2.3.1
Package: httk
Version: 2.3.1
Date: 2024-03-18
Title: High-Throughput Toxicokinetics
Description: Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics have been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. High throughput toxicokinetics ("HTTK") is the combination of in vitro data and generic models. We establish the expected accuracy of HTTK for chemicals without in vivo data through statistical evaluation of HTTK predicti [...truncated...]
Depends: R (>= 2.10)
Imports: deSolve, msm, data.table, survey, mvtnorm, truncnorm, stats, graphics, utils, magrittr, purrr, methods, Rdpack, ggplot2
Suggests: knitr, rmarkdown, R.rsp, gplots, scales, EnvStats, MASS, RColorBrewer, stringr, reshape, viridis, gmodels, colorspace, cowplot, ggrepel, dplyr, forcats, smatr, gridExtra, readxl, ks
License: GPL-3
LazyData: true
LazyDataCompression: xz
Encoding: UTF-8
VignetteBuilder: knitr, R.rsp
URL: https://www.epa.gov/chemical-research/rapid-chemical-exposure-and-dose-research
BugReports: https://github.com/USEPA/CompTox-ExpoCast-httk
NeedsCompilation: yes
Packaged: 2024-03-21 18:56:25 UTC; jwambaug
Author: John Wambaugh [aut, cre] , Sarah Davidson-Fritz [aut] , Robert Pearce [aut] , Caroline Ring [aut] , Greg Honda [aut] , Mark Sfeir [aut], Matt Linakis [aut] , Dustin Kapraun [aut] , Nathan Pollesch [ctb] , Miyuki Breen [ctb] , Shannon Bell [ctb] , Xia [...truncated...]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Copyright: This package is primarily developed by employees of the U.S. Federal government as part of their official duties and is therefore public domain.
Repository: CRAN
Date/Publication: 2024-03-27 00:00:02 UTC

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Package transport updated to version 0.15-0 with previous version 0.14-7 dated 2024-02-18

Title: Computation of Optimal Transport Plans and Wasserstein Distances
Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Author: Dominic Schuhmacher [aut, cre], Bjoern Baehre [aut] , Nicolas Bonneel [aut] , Carsten Gottschlich [aut] , Valentin Hartmann [aut] , Florian Heinemann [aut] , Bernhard Schmitzer [aut] , Joern Schrieber [aut] , Timo Wilm [ctb]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

Diff between transport versions 0.14-7 dated 2024-02-18 and 0.15-0 dated 2024-03-26

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Package fishRman updated to version 1.2.3 with previous version 1.2.2 dated 2023-12-08

Title: The Fisheries Scientist's Toolbox
Description: A bundle of analytics tools for fisheries scientists. A 'shiny' R App is included for a 'no-code' solution for retrieval, analysis, and visualization.
Author: Pasquale Buonomo [cre, aut]
Maintainer: Pasquale Buonomo <pasqualebuonomo@hotmail.it>

Diff between fishRman versions 1.2.2 dated 2023-12-08 and 1.2.3 dated 2024-03-26

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Package bigBits updated to version 1.2 with previous version 1.1 dated 2023-09-06

Title: Perform Boolean Operations on Large Numbers
Description: These tools accept integers in any base from 2 to 36, including 2's complement format, and perform actions like "AND," "OR", "NOT", "SHIFTR/L" etc. The output can be in any base specified. A direct base to base converter is included.
Author: Carl Witthoft [aut, cre]
Maintainer: Carl Witthoft <cellocgw@gmail.com>

Diff between bigBits versions 1.1 dated 2023-09-06 and 1.2 dated 2024-03-26

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Package sarima updated to version 0.9.3 with previous version 0.9.2 dated 2024-03-01

Title: Simulation and Prediction with Seasonal ARIMA Models
Description: Functions, classes and methods for time series modelling with ARIMA and related models. The aim of the package is to provide consistent interface for the user. For example, a single function autocorrelations() computes various kinds of theoretical and sample autocorrelations. This is work in progress, see the documentation and vignettes for the current functionality. Function sarima() fits extended multiplicative seasonal ARIMA models with trends, exogenous variables and arbitrary roots on the unit circle, which can be fixed or estimated (for the algebraic basis for this see <arXiv:2208.05055>, a paper on the methodology is being prepared).
Author: Georgi N. Boshnakov [aut, cre], Jamie Halliday [aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between sarima versions 0.9.2 dated 2024-03-01 and 0.9.3 dated 2024-03-26

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Package ribd updated to version 1.7.0 with previous version 1.6.1 dated 2023-08-10

Title: Pedigree-based Relatedness Coefficients
Description: Recursive algorithms for computing various relatedness coefficients, including pairwise kinship, kappa and identity coefficients. Both autosomal and X-linked coefficients are computed. Founders are allowed to be inbred, which enables construction of any given kappa coefficients, as described in Vigeland (2020) <doi:10.1007/s00285-020-01505-x>. In addition to the standard coefficients, 'ribd' also computes a range of lesser-known coefficients, including generalised kinship coefficients, multi-person coefficients and two-locus coefficients (Vigeland, 2023, <doi:10.1093/g3journal/jkac326>). Many features of 'ribd' are available through the online app 'QuickPed' at <https://magnusdv.shinyapps.io/quickped>; see Vigeland (2022) <doi:10.1186/s12859-022-04759-y>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between ribd versions 1.6.1 dated 2023-08-10 and 1.7.0 dated 2024-03-26

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Package mlr3pipelines updated to version 0.5.1 with previous version 0.5.0-2 dated 2023-12-08

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [ctb] , Susanne Dandl [aut]
Maintainer: Martin Binder <mlr.developer@mb706.com>

Diff between mlr3pipelines versions 0.5.0-2 dated 2023-12-08 and 0.5.1 dated 2024-03-26

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Package leaflet updated to version 2.2.2 with previous version 2.2.1 dated 2023-11-13

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny applications and R Markdown documents.
Author: Joe Cheng [aut, cre], Barret Schloerke [aut] , Bhaskar Karambelkar [aut], Yihui Xie [aut], Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], Vladimir Agafonkin [ctb, cph] , CloudMade [cph] , Leaflet contributors [ctb] , Brandon Copeland [...truncated...]
Maintainer: Joe Cheng <joe@posit.co>

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Package rStrava updated to version 1.3.1 with previous version 1.3.0 dated 2023-10-20

Title: Access the 'Strava' API
Description: Functions to access data from the 'Strava v3 API' <https://developers.strava.com/>.
Author: Marcus W. Beck [cre], Pedro Villarroel [aut], Daniel Padfield [aut], Lorenzo Gaborini [aut], Niklas von Maltzahn [aut]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

Diff between rStrava versions 1.3.0 dated 2023-10-20 and 1.3.1 dated 2024-03-26

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Package ghclass updated to version 0.3.0 with previous version 0.2.1 dated 2022-01-06

Title: Tools for Managing Classes on GitHub
Description: Interface for the GitHub API that enables efficient management of courses on GitHub. It has a functionality for managing organizations, teams, repositories, and users on GitHub and helps automate most of the tedious and repetitive tasks around creating and distributing assignments.
Author: Colin Rundel [aut, cre], Mine Cetinkaya-Rundel [aut], Therese Anders [ctb]
Maintainer: Colin Rundel <rundel@gmail.com>

Diff between ghclass versions 0.2.1 dated 2022-01-06 and 0.3.0 dated 2024-03-26

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Package MigConnectivity updated to version 0.4.7 with previous version 0.4.6 dated 2024-03-18

Title: Estimate Migratory Connectivity for Migratory Animals
Description: Allows the user to estimate transition probabilities for migratory animals between any two phases of the annual cycle, using a variety of different data types. Also quantifies the strength of migratory connectivity (MC), a standardized metric to quantify the extent to which populations co-occur between two phases of the annual cycle. Includes functions to estimate MC and the more traditional metric of migratory connectivity strength (Mantel correlation) incorporating uncertainty from multiple sources of sampling error. For cross-species comparisons, methods are provided to estimate differences in migratory connectivity strength, incorporating uncertainty. See Cohen et al. (2018) <doi:10.1111/2041-210X.12916>, Cohen et al. (2019) <doi:10.1111/ecog.03974>, and Roberts et al. (2023) <doi:10.1002/eap.2788> for details on some of these methods.
Author: Jeffrey A. Hostetler [cre, aut], Michael T. Hallworth [aut], Clark S. Rushing [ctb], Emily B. Cohen [ctb], Valentine Herrmann [ctb]
Maintainer: Jeffrey A. Hostetler <jhostetler@usgs.gov>

Diff between MigConnectivity versions 0.4.6 dated 2024-03-18 and 0.4.7 dated 2024-03-26

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Package lmtp updated to version 1.3.3 with previous version 1.3.2 dated 2023-07-19

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, and categorical treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes.
Author: Nicholas Williams [aut, cre, cph] , Ivan Diaz [aut, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

Diff between lmtp versions 1.3.2 dated 2023-07-19 and 1.3.3 dated 2024-03-26

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Package future updated to version 1.33.2 with previous version 1.33.1 dated 2023-12-22

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multisession)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers, etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 1.33.1 dated 2023-12-22 and 1.33.2 dated 2024-03-26

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New package vcPB with initial version 1.1.1
Package: vcPB
Title: Longitudinal PB Varying-Coefficient Groupwise Disparity Model
Version: 1.1.1
Description: Estimating the disparity between two groups based on the extended model of the Peters-Belson (PB) method. Our model is the first work on the longitudinal data, and also can set a varying variable to find the complicated association between other variables and the varying variable. Our work is an extension of the Peters-Belson method which was originally published in Peters (1941)<doi:10.1080/00220671.1941.10881036> and Belson (1956)<doi:10.2307/2985420>.
Depends: KernSmooth, rlist, lme4, methods
License: GPL-3
Encoding: UTF-8
URL: https://github.com/SangkyuStat/vcPB, https://sangkyustat.github.io/vcPB/
BugReports: https://github.com/SangkyuStat/vcPB/issues
NeedsCompilation: no
Packaged: 2024-03-26 15:11:49 UTC; lees57
Author: Sang Kyu Lee [aut, cre], Seonjin Kim [aut], Hyokyoung Hong [aut], Mi-Ok Kim [aut]
Maintainer: Sang Kyu Lee <lsk0816@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-26 17:00:02 UTC

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New package swaRmverse with initial version 0.1.0
Package: swaRmverse
Title: Swarm Space Creation
Version: 0.1.0
Date: 2024-02-29
Maintainer: Marina Papadopoulou <m.papadopoulou.rug@gmail.com>
Description: Provides a pipeline for the comparative analysis of collective movement data (e.g. fish schools, bird flocks, baboon troops) by processing 2-dimensional positional data (x,y,t) from GPS trackers or computer vision tracking systems, discretizing events of collective motion, calculating a set of established metrics that characterize each event, and placing the events in a multi-dimensional swarm space constructed from these metrics. The swarm space concept, the metrics and data sets included are described in: Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon, Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://marinapapa.github.io/swaRmverse/, https://github.com/marinapapa/swaRmverse
BugReports: https://github.com/marinapapa/swaRmverse/issues
Depends: R (>= 3.5)
Imports: parallel, pbapply, Rtsne, trackdf, swaRm, geosphere
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-26 11:17:18 UTC; 2GSWARM
Author: Marina Papadopoulou [aut, cre] , Simon Garnier [ctb, cph]
Repository: CRAN
Date/Publication: 2024-03-26 17:00:05 UTC

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New package sbrl with initial version 1.3
Package: sbrl
Title: Scalable Bayesian Rule Lists Model
Version: 1.3
Date: 2024-03-21
Author: Hongyu Yang [aut, cre], Morris Chen [ctb], Cynthia Rudin [aut, ctb], Margo Seltzer [aut, ctb], The President and Fellows of Harvard College [cph]
Maintainer: Hongyu Yang <edwardyhy1@gmail.com>
Description: An efficient implementation of Scalable Bayesian Rule Lists Algorithm, a competitor algorithm for decision tree algorithms; see Hongyu Yang, Cynthia Rudin, Margo Seltzer (2017) <https://proceedings.mlr.press/v70/yang17h.html>. It builds from pre-mined association rules and have a logical structure identical to a decision list or one-sided decision tree. Fully optimized over rule lists, this algorithm strikes practical balance between accuracy, interpretability, and computational speed.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), arules, methods
RcppModules: sbrl
LinkingTo: Rcpp
NeedsCompilation: yes
LazyData: yes
SystemRequirements: gmp (>= 4.2.0), gsl
Packaged: 2024-03-26 06:42:39 UTC; hongyuy
Repository: CRAN
Date/Publication: 2024-03-26 16:50:02 UTC

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New package pmxcv with initial version 0.0.1.0
Package: pmxcv
Title: Integration-Based Coefficients of Variance
Version: 0.0.1.0
Description: Estimate coefficient of variance percent (CV%) for any arbitrary distribution, including some built-in estimates for commonly-used transformations in pharmacometrics. Methods are described in various sources, but applied here as summarized in: Prybylski, (2024) <doi:10.1007/s40262-023-01343-2>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-03-26 12:47:11 UTC; PRYBYJ
Author: John Prybylski [aut, cre]
Maintainer: John Prybylski <john.prybylski@pfizer.com>
Repository: CRAN
Date/Publication: 2024-03-26 17:00:09 UTC

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New package flexOR with initial version 0.9.6
Encoding: UTF-8
Package: flexOR
Version: 0.9.6
Date: 2024-03-25
Title: Flexible Odds Ratio Curves
Maintainer: Marta Azevedo <marta.vasconcelos4@gmail.com>
Depends: R (>= 3.1.0)
Imports: gam, graphics, grDevices, mgcv, stats
Suggests: knitr, mlbench, R.rsp, rmarkdown, plotly
Description: Provides flexible hazard ratio curves that enable modeling non-linear relationships between continuous predictors and survival outcomes. This package facilitates a deeper understanding of the impact of each continuous predictor on the outcome by presenting results in terms of odds ratio (OR) curves based on splines. These curves allow for comparison against a specified reference value, aiding in the interpretation of the predictor's effect.
License: GPL-3
URL: https://github.com/martaaaa/flexOR
BugReports: https://github.com/martaaaa/flexOR/issues
LazyLoad: yes
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2024-03-26 09:43:31 UTC; marta
Author: Marta Azevedo [aut, cre] , Luis Meira-Machado [aut] , Artur Araujo [aut]
Repository: CRAN
Date/Publication: 2024-03-26 16:50:05 UTC

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Package equateIRT updated to version 2.4.0 with previous version 2.3.0 dated 2022-08-08

Title: IRT Equating Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items (Battauz (2013) <doi:10.1007/s11336-012-9316-y>, Battauz (2015) <doi:10.18637/jss.v068.i07>). Test scoring can be performed by true score equating and observed score equating methods. DIF detection can be performed using a Wald-type test (Battauz (2019) <doi:10.1007/s10260-018-00442-w>). The package includes tests to access the stability of the equating transformations (Battauz(2022) <doi:10.1111/stan.12277>).
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

Diff between equateIRT versions 2.3.0 dated 2022-08-08 and 2.4.0 dated 2024-03-26

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Package EMT updated to version 1.3.1 with previous version 1.3 dated 2023-02-06

Title: Exact Multinomial Test: Goodness-of-Fit Test for Discrete Multivariate Data
Description: Goodness-of-fit tests for discrete multivariate data. It is tested if a given observation is likely to have occurred under the assumption of an ab-initio model. Monte Carlo methods are provided to make the package capable of solving high-dimensional problems.
Author: Uwe Menzel
Maintainer: Uwe Menzel <uwemenzel@gmail.com>

Diff between EMT versions 1.3 dated 2023-02-06 and 1.3.1 dated 2024-03-26

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Package spatstat updated to version 3.0-8 with previous version 3.0-7 dated 2023-10-30

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package mgwnbr updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-23

Title: Multiscale Geographically Weighted Negative Binomial Regression
Description: Fits a geographically weighted regression model with different scales for each covariate. Uses the negative binomial distribution as default, but also accepts the normal, Poisson, or logistic distributions. Can fit the global versions of each regression and also the geographically weighted alternatives with only one scale, since they are all particular cases of the multiscale approach. Hanchen Yu (2024). "Exploring Multiscale Geographically Weighted Negative Binomial Regression", Annals of the American Association of Geographers <doi:10.1080/24694452.2023.2289986>. Fotheringham AS, Yang W, Kang W (2017). "Multiscale Geographically Weighted Regression (MGWR)", Annals of the American Association of Geographers <doi:10.1080/24694452.2017.1352480>. Da Silva AR, Rodrigues TCV (2014). "Geographically Weighted Negative Binomial Regression - incorporating overdispersion", Statistics and Computing <doi:10.1007/s11222-013-9401-9>.
Author: Juliana Rosa [aut, cre], Jessica Vasconcelos [aut], Alan da Silva [aut]
Maintainer: Juliana Rosa <julianamrosa00@gmail.com>

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Package lomb updated to version 2.5.0 with previous version 2.2.0 dated 2024-01-26

Title: Lomb-Scargle Periodogram
Description: Computes the Lomb-Scargle Periodogram and actogram for evenly or unevenly sampled time series. Includes a randomization procedure to obtain exact p-values. Partially based on C original by Press et al. (Numerical Recipes) and the Python module Astropy. For more information see Ruf, T. (1999). The Lomb-Scargle periodogram in biological rhythm research: analysis of incomplete and unequally spaced time-series. Biological Rhythm Research, 30(2), 178-201.
Author: Thomas Ruf [aut, cre]
Maintainer: Thomas Ruf <Thomas.P.Ruf@me.com>

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Package fGarch updated to version 4033.92 with previous version 4032.91 dated 2024-02-01

Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Description: Analyze and model heteroskedastic behavior in financial time series.
Author: Diethelm Wuertz [aut] , Yohan Chalabi [aut], Tobias Setz [aut], Martin Maechler [aut] , Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package pricelevels updated to version 1.1.0 with previous version 1.0.2 dated 2024-02-08

Title: Spatial Price Level Comparisons
Description: Price comparisons within or between countries provide an overall measure of the relative difference in prices, often denoted as price levels. This package provides index number methods for such price comparisons (e.g., The World Bank, 2011, <doi:10.1596/978-0-8213-9728-2>). Moreover, it contains functions for sampling and characterizing price data.
Author: Sebastian Weinand [aut, cre]
Maintainer: Sebastian Weinand <s.weinand90@googlemail.com>

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Package datawizard updated to version 0.10.0 with previous version 0.9.1 dated 2023-12-21

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] , Etienne Bacher [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Remi Theriault [ctb] , Thomas J. Faulkenberry [rev], Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package databraryr updated to version 0.6.3 with previous version 0.6.2 dated 2024-03-15

Title: Interact with the 'Databrary.org' API
Description: 'Databrary.org' is a restricted access repository for research data, especially video and audio. This package provides commands to interact with the data stored on 'Databrary.org'.
Author: Rick O. Gilmore [aut, cre, cph], Jeffrey Spies [aut], National Science Foundation OAC-2032713 [fnd], National Institutes of Health R01HD094830 [fnd]
Maintainer: Rick O. Gilmore <rog1@psu.edu>

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Package celltrackR updated to version 1.2.0 with previous version 1.1.0 dated 2022-03-21

Title: Motion Trajectory Analysis
Description: Methods for analyzing (cell) motion in two or three dimensions. Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length. While the methodology has been developed for cell trajectory analysis, it is applicable to anything that moves including animals, people, or vehicles. Some of the methodology implemented in this packages was described by: Beauchemin, Dixit, and Perelson (2007) <doi:10.4049/jimmunol.178.9.5505>, Beltman, Maree, and de Boer (2009) <doi:10.1038/nri2638>, Gneiting and Schlather (2004) <doi:10.1137/S0036144501394387>, Mokhtari, Mech, Zitzmann, Hasenberg, Gunzer, and Figge (2013) <doi:10.1371/journal.pone.0080808>, Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012) <doi:10.1016/j.immuni.2012.05.014>, Textor, Peixoto, Henrickson, Sinn, von Andrian, and Westermann (2011) [...truncated...]
Author: Johannes Textor [aut, cre], Katharina Dannenberg [aut], Jeffrey Berry [aut], Gerhard Burger [aut], Annie Liu [aut], Mark Miller [aut], Inge Wortel [aut]
Maintainer: Johannes Textor <johannes.textor@gmx.de>

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Package r2dii.analysis updated to version 0.4.0 with previous version 0.3.0 dated 2023-10-23

Title: Measure Climate Scenario Alignment of Corporate Loans
Description: These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Author: Alex Axthelm [aut, cre] , Jackson Hoffart [aut, ctr] , Mauro Lepore [aut, ctr] , Klaus Hogedorn [aut], Nicky Halterman [aut], Rocky Mountain Institute [cph, fnd]
Maintainer: Alex Axthelm <aaxthelm@rmi.org>

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Package openxlsx2 updated to version 1.5 with previous version 1.4 dated 2024-02-15

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Oliver Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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More information about openxlsx2 at CRAN
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Package grattanInflators updated to version 0.5.1 with previous version 0.5.0 dated 2023-12-01

Title: Inflators for Australian Policy Analysis
Description: Using Australian Bureau of Statistics indices, provides functions that convert historical, nominal statistics to real, contemporary values without worrying about date input quality, performance, or the ABS catalogue.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattanInflators versions 0.5.0 dated 2023-12-01 and 0.5.1 dated 2024-03-26

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 21 files changed, 1357 insertions(+), 1254 deletions(-)

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Package grafzahl updated to version 0.0.11 with previous version 0.0.8 dated 2023-04-12

Title: Supervised Machine Learning for Textual Data Using Transformers and 'Quanteda'
Description: Duct tape the 'quanteda' ecosystem (Benoit et al., 2018) <doi:10.21105/joss.00774> to modern Transformer-based text classification models (Wolf et al., 2020) <doi:10.18653/v1/2020.emnlp-demos.6>, in order to facilitate supervised machine learning for textual data. This package mimics the behaviors of 'quanteda.textmodels' and provides a function to setup the 'Python' environment to use the pretrained models from 'Hugging Face' <https://huggingface.co/>. More information: <doi:10.5117/CCR2023.1.003.CHAN>.
Author: Chung-hong Chan [aut, cre]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between grafzahl versions 0.0.8 dated 2023-04-12 and 0.0.11 dated 2024-03-26

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New package REMLA with initial version 1.0
Package: REMLA
Title: Robust Expectation-Maximization Estimation for Latent Variable Models
Version: 1.0
Date: 2024-03-11
Description: Traditional latent variable models assume that the population is homogeneous, meaning that all individuals in the population are assumed to have the same latent structure. However, this assumption is often violated in practice given that individuals may differ in their age, gender, socioeconomic status, and other factors that can affect their latent structure. The robust expectation maximization (REM) algorithm is a statistical method for estimating the parameters of a latent variable model in the presence of population heterogeneity as recommended by Nieser & Cochran (2023) <doi:10.1037/met0000413>. The REM algorithm is based on the expectation-maximization (EM) algorithm, but it allows for the case when all the data are generated by the assumed data generating model.
License: GPL (>= 3)
URL: https://github.com/knieser/REM
Imports: GPArotation, stats, geex
Encoding: UTF-8
Suggests: knitr, lavaan, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-25 19:37:38 UTC; bryanortiz
Author: Bryan Ortiz-Torres [aut, cre], Kenneth Nieser [aut]
Maintainer: Bryan Ortiz-Torres <bortiztorres@wisc.edu>
Repository: CRAN
Date/Publication: 2024-03-26 09:20:02 UTC

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New package glmMisrep with initial version 0.1.0
Package: glmMisrep
Title: Generalized Linear Models Adjusting for Misrepresentation
Version: 0.1.0
Depends: R (>= 3.5.0)
Description: Fit Generalized Linear Models to continuous and count outcomes, as well as estimate the prevalence of misrepresentation of an important binary predictor. Misrepresentation typically arises when there is an incentive for the binary factor to be misclassified in one direction (e.g., in insurance settings where policy holders may purposely deny a risk status in order to lower the insurance premium). This is accomplished by treating a subset of the response variable as resulting from a mixture distribution. Model parameters are estimated via the Expectation Maximization algorithm and standard errors of the estimates are obtained from closed forms of the Observed Fisher Information. For an introduction to the models and the misrepresentation framework, see Xia et. al., (2023) <https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: MASS, poisson.glm.mix, stats
NeedsCompilation: no
Packaged: 2024-03-25 14:33:06 UTC; patri
Author: Patrick Rafael [cre, aut], Xia Michelle [aut], Rexford Akakpo [aut]
Maintainer: Patrick Rafael <pbr2608@vt.edu>
Repository: CRAN
Date/Publication: 2024-03-26 09:00:02 UTC

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New package fabPrediction with initial version 1.0.4
Package: fabPrediction
Title: Compute FAB (Frequentist and Bayes) Conformal Prediction Intervals
Version: 1.0.4
Description: Computes and plots prediction intervals for numerical data or prediction sets for categorical data using prior information. Empirical Bayes procedures to estimate the prior information from multi-group data are included. See, e.g.,Bersson and Hoff (2022) <arXiv:2204.08122> "Optimal Conformal Prediction for Small Areas".
License: GPL-3
Encoding: UTF-8
Imports: sae (>= 1.3), parallel, stats, graphics
Suggests: knitr, devtools
NeedsCompilation: yes
ByteCompile: yes
VignetteBuilder: knitr
URL: https://github.com/betsybersson/fabPrediction
BugReports: https://github.com/betsybersson/fabPrediction/issues
Packaged: 2024-03-25 13:51:40 UTC; betsybersson
Author: Elizabeth Bersson [aut, cre, cph]
Maintainer: Elizabeth Bersson <elizabeth.bersson@duke.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-03-26 09:00:05 UTC

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Package ExpImage (with last version 0.9.0) was removed from CRAN

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

2023-12-15 0.9.0

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Package harbinger updated to version 1.0.747 with previous version 1.0.737 dated 2023-11-11

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut], Antonio Mello [aut], Ellen Paixao [aut], Fernando Fraga [aut], Heraldo Borges [aut], Janio Lima [aut], Jessica Souza [aut], Lais Baroni [aut], Lucas Tavares [aut], Rebecca Salles [aut], Diego [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between harbinger versions 1.0.737 dated 2023-11-11 and 1.0.747 dated 2024-03-26

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Package GETdesigns updated to version 1.2.0 with previous version 1.1.0 dated 2022-11-24

Title: Generalized Extended Triangular Designs ('GETdesigns')
Description: Since their introduction by Bose and Nair (1939) <https://www.jstor.org/stable/40383923>, partially balanced incomplete block (PBIB) designs remain an important class of incomplete block designs. The concept of association scheme was used by Bose and Shimamoto (1952) <doi:10.1080/01621459.1952.10501161> for the classification of these designs. The constraint of resources always motivates the experimenter to advance towards PBIB designs, more specifically to higher associate class PBIB designs from balanced incomplete block designs. It is interesting to note that many times higher associate PBIB designs perform better than their counterpart lower associate PBIB designs for the same set of parameters v, b, r, k and lambda_i (i=1,2...m). This package contains functions named GETD() for generating m-associate (m>=2) class PBIB designs along with parameters (v, b, r, k and lambda_i, i = 1, 2,…,m) based on Generalized Triangular (GT) Association Scheme. It also calculates the [...truncated...]
Author: Mohd Harun [aut, ctb], Cini Varghese [aut, ctb], Ashutosh Dalal [aut, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

Diff between GETdesigns versions 1.1.0 dated 2022-11-24 and 1.2.0 dated 2024-03-26

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Package spqdep (with last version 0.1.3.2) was removed from CRAN

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

2024-02-05 0.1.3.2
2022-03-28 0.1.2
2022-03-11 0.1.1
2022-01-28 0.1.0

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Package vlda (with last version 1.1.5) was removed from CRAN

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

2020-06-26 1.1.5

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Package LMoFit (with last version 0.1.6) was removed from CRAN

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

2020-11-26 0.1.6

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Package BOSO (with last version 1.0.3) was removed from CRAN

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

2021-07-01 1.0.3

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Package gghdr (with last version 0.2.0) was removed from CRAN

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

2022-10-27 0.2.0

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Package glancedata (with last version 1.0.1) was removed from CRAN

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

2019-11-22 1.0.1
2019-05-16 1.0.0

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Package rabhit (with last version 0.2.5) was removed from CRAN

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

2023-02-06 0.2.5
2022-09-22 0.2.4
2022-02-16 0.2.1
2021-12-06 0.2.0

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Package bioassays (with last version 1.0.1) was removed from CRAN

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

2020-10-09 1.0.1
2020-05-29 0.1.0

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Package OpenLand (with last version 1.0.2) was removed from CRAN

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

2021-11-02 1.0.2
2020-04-19 1.0.1
2020-03-23 1.0.0

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Package SpotSampling (with last version 0.1.0) was removed from CRAN

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

2020-10-26 0.1.0

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Package shiny updated to version 1.8.1 with previous version 1.8.0 dated 2023-11-17

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre] , Joe Cheng [aut], JJ Allaire [aut], Carson Sievert [aut] , Barret Schloerke [aut] , Yihui Xie [aut], Jeff Allen [aut], Jonathan McPherson [aut], Alan Dipert [aut], Barbara Borges [aut], Posit Software, PBC [cph, fnd], jQuery [...truncated...]
Maintainer: Winston Chang <winston@posit.co>

Diff between shiny versions 1.8.0 dated 2023-11-17 and 1.8.1 dated 2024-03-26

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 70 files changed, 9511 insertions(+), 4504 deletions(-)

More information about shiny at CRAN
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Package occumb updated to version 1.1.0 with previous version 1.0.3 dated 2024-01-08

Title: Site Occupancy Modeling for Environmental DNA Metabarcoding
Description: Fits multispecies site occupancy models to environmental DNA metabarcoding data collected using spatially-replicated survey design. Model fitting results can be used to evaluate and compare the effectiveness of species detection to find an efficient survey design. Reference: Fukaya et al. (2022) <doi:10.1111/2041-210X.13732>.
Author: Keiichi Fukaya [aut, cre], Ken Kellner [cph]
Maintainer: Keiichi Fukaya <fukayak99@gmail.com>

Diff between occumb versions 1.0.3 dated 2024-01-08 and 1.1.0 dated 2024-03-26

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More information about occumb at CRAN
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New package o2geosocial with initial version 1.1.2
Package: o2geosocial
Title: Reconstruction of Transmission Chains from Surveillance Data
Version: 1.1.2
URL: https://github.com/alxsrobert/o2geosocial
Encoding: UTF-8
Maintainer: Alexis Robert <alexis.robert@lshtm.ac.uk>
Description: Bayesian reconstruction of who infected whom during past outbreaks using routinely-collected surveillance data. Inference of transmission trees using genotype, age specific social contacts, distance between cases and onset dates of the reported cases. (Robert A, Kucharski AJ, Gastanaduy PA, Paul P, Funk S. (2020) <doi:10.1098/rsif.2020.0084>).
License: MIT + file LICENSE
Imports: Rcpp, methods, stats, grDevices, geosphere, ggplot2, visNetwork, data.table, outbreaker2
LazyData: true
Depends: R(>= 3.5.0)
LinkingTo: Rcpp
Suggests: testthat, tigris, sf, knitr, socialmixr, rmarkdown
VignetteBuilder: knitr
BugReports: https://github.com/alxsrobert/o2geosocial/issues
NeedsCompilation: yes
Packaged: 2024-03-22 08:04:43 UTC; eidearob
Author: Alexis Robert [aut, cre, cph] , Sebastian Funk [aut] , Adam J Kucharski [aut] , Thibaut Jombart [ctb]
Repository: CRAN
Date/Publication: 2024-03-26 06:40:12 UTC

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Package gdalraster updated to version 1.10.0 with previous version 1.9.0 dated 2024-02-25

Title: Bindings to the 'Geospatial Data Abstraction Library' Raster API
Description: Interface to the Raster API of the 'Geospatial Data Abstraction Library' ('GDAL', <https://gdal.org>). Bindings are implemented in an exposed C++ class encapsulating a 'GDALDataset' and its raster band objects, along with several stand-alone functions. These support manual creation of uninitialized datasets, creation from existing raster as template, read/set dataset parameters, low level I/O, color tables, raster attribute tables, virtual raster (VRT), and 'gdalwarp' wrapper for reprojection and mosaicing. Includes 'GDAL' algorithms ('dem_proc()', 'polygonize()', 'rasterize()', etc.), and functions for coordinate transformation and spatial reference systems. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Includes raster 'calc()' to evaluate a given R expression on a layer or stack of layers, with pixel x/y available as variables in the expression; and raster 'combine()' to identify and count unique pixel combinations across multiple [...truncated...]
Author: Chris Toney [aut, cre] , Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <chris.toney@usda.gov>

Diff between gdalraster versions 1.9.0 dated 2024-02-25 and 1.10.0 dated 2024-03-26

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 106 files changed, 9969 insertions(+), 7663 deletions(-)

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New package AccelStab with initial version 2.0.1
Package: AccelStab
Title: Accelerated Stability Kinetic Modelling
Version: 2.0.1
Description: Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: dplyr, ggplot2, minpack.lm, mvtnorm, stats, scales
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, lifecycle
Depends: R (>= 4.1.0)
LazyData: true
Language: en-GB
URL: https://github.com/AccelStab/AccelStab
BugReports: https://github.com/AccelStab/AccelStab/issues
NeedsCompilation: no
Packaged: 2024-03-20 10:49:01 UTC; benwe
Author: Bernard G Franq [aut, cph], Ben Wells [cre], Alex Ball [ctb]
Maintainer: Ben Wells <benwells@bayezian.com>
Repository: CRAN
Date/Publication: 2024-03-26 06:42:58 UTC

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Package restatapi updated to version 0.23.1 with previous version 0.22.5 dated 2024-01-08

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre], Sebastian Weinand [ctb]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.22.5 dated 2024-01-08 and 0.23.1 dated 2024-03-26

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Package httpuv updated to version 1.6.15 with previous version 1.6.14 dated 2024-01-26

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], Posit, PBC fnd [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph] , libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Niels Provos [cph] , Inter [...truncated...]
Maintainer: Winston Chang <winston@posit.co>

Diff between httpuv versions 1.6.14 dated 2024-01-26 and 1.6.15 dated 2024-03-26

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Package ggeffects updated to version 1.5.1 with previous version 1.5.0 dated 2024-02-24

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb] , Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package ArchaeoChron (with last version 0.1) was removed from CRAN

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

2017-11-17 0.1

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Package BayLum (with last version 0.3.1) was removed from CRAN

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

2023-04-13 0.3.1
2022-02-21 0.2.1
2020-12-06 0.2.0
2018-09-19 0.1.3
2018-06-22 0.1.2
2017-09-07 0.1.1
2017-09-01 0.1.0

Permanent link
Package ArchaeoPhases (with last version 1.8) was removed from CRAN

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

2022-06-21 1.8
2022-02-16 1.6
2020-12-01 1.5
2020-05-29 1.4.5
2019-01-02 1.4
2017-09-28 1.3
2017-06-13 1.2
2017-03-27 1.1
2017-02-07 1.0

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Package APCalign (with last version 0.1.3) was removed from CRAN

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

2023-11-16 0.1.3
2023-10-11 0.1.2

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Package SomaDataIO updated to version 6.1.0 with previous version 6.0.0 dated 2023-03-15

Title: Input/Output 'SomaScan' Data
Description: Load and export 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' structured text file called an ADAT ('*.adat'). For file format see <https://github.com/SomaLogic/SomaLogic-Data/blob/master/README.md>. The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.
Author: Stu Field [aut, cre] , SomaLogic Operating Co., Inc. [cph, fnd]
Maintainer: Stu Field <stu.g.field@gmail.com>

Diff between SomaDataIO versions 6.0.0 dated 2023-03-15 and 6.1.0 dated 2024-03-26

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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/helper.R                   |   16 
 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-S3-print.R            |    8 
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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-SeqId.R               |   47 
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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-dplyr-verbs.R         |   51 
 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-getAdatVersion.R      |   39 
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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-getSomaScanVersion.R  |only
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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-is-intact-attr.R      |   40 
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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-read-annotations.R    |   15 
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 SomaDataIO-6.1.0/SomaDataIO/tests/testthat/test-tidyr-verbs.R         |    6 
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 SomaDataIO-6.1.0/SomaDataIO/vignettes/SomaDataIO.Rmd                  |   52 
 102 files changed, 1816 insertions(+), 1557 deletions(-)

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