Thu, 30 Mar 2023

Package ggvenn updated to version 0.1.10 with previous version 0.1.9 dated 2021-06-29

Title: Draw Venn Diagram by 'ggplot2'
Description: An easy-to-use way to draw pretty venn diagram by 'ggplot2'.
Author: Linlin Yan [aut, cre]
Maintainer: Linlin Yan <yanlinlin82@gmail.com>

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Package svyVGAM updated to version 1.2 with previous version 1.1 dated 2022-06-13

Title: Design-Based Inference in Vector Generalised Linear Models
Description: Provides inference based on the survey package for the wide range of parametric models in the 'VGAM' package.
Author: Thomas Lumley
Maintainer: Thomas Lumley <t.lumley@auckland.ac.nz>

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Package concstats updated to version 0.1.6 with previous version 0.1.2 dated 2022-05-14

Title: Market Structure, Concentration and Inequality Measures
Description: Based on individual market shares of all participants in a market or space, the package offers a set of different structural and concentration measures frequently - and not so frequently - used in research and in practice. Measures can be calculated in groups or individually. The calculated measure or the resulting vector in table format should help practitioners make more informed decisions. Methods used in this package are from: 1. Chang, E. J., Guerra, S. M., de Souza Penaloza, R. A. & Tabak, B. M. (2005) "Banking concentration: the Brazilian case". 2. Cobham, A. and A. Summer (2013). "Is It All About the Tails? The Palma Measure of Income Inequality". 3. Garcia Alba Idunate, P. (1994). "Un Indice de dominancia para el analisis de la estructura de los mercados". 4. Ginevicius, R. and S. Cirba (2009). "Additive measurement of market concentration" <doi:10.3846/1611-1699.2009.10.191-198>. 5. Herfindahl, O. C. (1950), "Concentration in the steel industry" (PhD thesis). 6 [...truncated...]
Author: Andreas Schneider [aut, cre] , Sebastian Wojcik [rev], Christopher T. Kenny [rev]
Maintainer: Andreas Schneider <schneiderconsultingpy@gmail.com>

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Package xgboost updated to version 1.7.5.1 with previous version 1.7.3.1 dated 2023-01-14

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] , Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifen [...truncated...]
Maintainer: Jiaming Yuan <jm.yuan@outlook.com>

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Package citation updated to version 0.8.2 with previous version 0.6.4 dated 2023-01-26

Title: Software Citation Tools
Description: A collection of functions to extract citation information from 'R' packages and to deal with files in 'citation file format' (<https://citation-file-format.github.io/>), extending the functionality already provided by the citation() function in the 'utils' package.
Author: Jan Philipp Dietrich [aut, cre], Waldir Leoncio [aut]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

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Package GNE updated to version 0.99-5 with previous version 0.99-3.1 dated 2022-05-23

Title: Computation of Generalized Nash Equilibria
Description: Compute standard and generalized Nash Equilibria of non-cooperative games. Optimization methods available are nonsmooth reformulation, fixed-point formulation, minimization problem and constrained-equation reformulation. See e.g. Kanzow and Facchinei (2010), <doi:10.1007/s10479-009-0653-x>.
Author: Christophe Dutang [aut, cre]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package sjSDM updated to version 1.0.4 with previous version 1.0.3 dated 2022-09-14

Title: Scalable Joint Species Distribution Modeling
Description: A scalable method to estimate joint Species Distribution Models (jSDMs) for big community datasets based on a Monte Carlo approximation of the joint likelihood. The numerical approximation is based on 'PyTorch' and 'reticulate', and can be run on CPUs and GPUs alike. The method is described in Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>. The package contains various extensions, including support for different response families, ability to account for spatial autocorrelation, and deep neural networks instead of the linear predictor in jSDMs.
Author: Maximilian Pichler [aut, cre] , Florian Hartig [aut] , Wang Cai [ctb]
Maintainer: Maximilian Pichler <maximilian.pichler@biologie.uni-regensburg.de>

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Package rmdcev updated to version 1.2.5 with previous version 1.2.4 dated 2020-09-30

Title: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models
Description: Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The package implements the multiple-discrete continuous extreme value (MDCEV) model and the Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in Stan, which is a C++ package for performing full Bayesian inference (see Stan Development Team, 2019) <https://mc-stan.org/>. The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation.
Author: Patrick Lloyd-Smith [aut, cre], Trustees of Columbia University [cph]
Maintainer: Patrick Lloyd-Smith <patrick.lloydsmith@usask.ca>

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Package likelihood updated to version 1.9 with previous version 1.8 dated 2022-04-28

Title: Methods for Maximum Likelihood Estimation
Description: Tools for maximum likelihood estimation of parameters of scientific models. Based on Goffe et al (1994) <doi:10.1016/0304-4076(94)90038-8>.
Author: Lora Murphy [aut, cre]
Maintainer: Lora Murphy <murphyl@caryinstitute.org>

Diff between likelihood versions 1.8 dated 2022-04-28 and 1.9 dated 2023-03-30

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Package BFS updated to version 0.4.6 with previous version 0.4.5 dated 2023-02-27

Title: Get Data from the Swiss Statistical Office
Description: Search and download data from the Swiss Federal Statistical Office (BFS) <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package TSTutorial updated to version 1.2.5 with previous version 1.2.4 dated 2022-06-03

Title: Fitting and Predict Time Series Interactive Laboratory
Description: Interactive laboratory of Time Series based in Box-Jenkins methodology.
Author: Alberto Lopez Moreno
Maintainer: Alberto Lopez Moreno <bertolomo@gmail.com>

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Package rgoogleads updated to version 0.9.1 with previous version 0.8.1 dated 2023-01-18

Title: Loading Data from 'Google Ads API'
Description: Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package tmsens updated to version 0.2.0 with previous version 0.1.0 dated 2022-02-03

Title: Sensitivity Analysis Using the Trimmed Means Estimator
Description: Sensitivity analysis using the trimmed means estimator.
Author: Audinga-Dea Hazewinkel [aut, cre] , Tom Palmer [aut] , Kate Tilling [aut] , Kaitlin Wade [aut] , Jack Bowden [aut]
Maintainer: Audinga-Dea Hazewinkel <dea.hazew@gmail.com>

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New package timetk with initial version 2.8.3
Package: timetk
Title: A Tool Kit for Working with Time Series
Version: 2.8.3
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
URL: https://github.com/business-science/timetk, https://business-science.github.io/timetk/
BugReports: https://github.com/business-science/timetk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: recipes (>= 1.0.4), rsample, dplyr (>= 1.0.0), ggplot2, forcats, stringr, plotly, lubridate (>= 1.6.0), padr (>= 0.5.2), purrr (>= 0.2.2), readr (>= 1.3.0), stringi (>= 1.4.6), tibble (>= 3.0.3), tidyr (>= 1.1.0), xts (>= 0.9-7), zoo (>= 1.7-14), rlang (>= 0.4.11), tidyselect (>= 1.1.0), slider, anytime, timeDate, forecast, tsfeatures, hms, assertthat, generics
Suggests: tidymodels, workflows, parsnip, tune, yardstick, knitr, rmarkdown, broom, scales, testthat, fracdiff, timeSeries, tseries, trelliscopejs, roxygen2, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-30 12:45:34 UTC; mdanc
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2023-03-30 14:20:05 UTC

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Package siland updated to version 3.0.2 with previous version 2.0.5 dated 2021-01-27

Title: Spatial Influence of Landscape
Description: Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inrae.fr>

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New package rmangal with initial version 2.1.3
Package: rmangal
Title: 'Mangal' Client
Version: 2.1.3
Description: An interface to the 'Mangal' database - a collection of ecological networks. This package includes functions to work with the 'Mangal RESTful API' methods (<https://mangal-interactions.github.io/mangal-api/>).
URL: https://docs.ropensci.org/rmangal/, https://mangal.io, https://github.com/ropensci/rmangal
BugReports: https://github.com/ropensci/rmangal/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr (>= 1.3.1), igraph (>= 1.2.1), jsonlite (>= 1.5), memoise, methods
Suggests: ggraph (>= 2.0.0), knitr, magrittr, mapview, rmarkdown, sf, spelling, tidygraph, testthat, tibble, vcr
VignetteBuilder: knitr
X-schema.org-applicationCategory: ecologicalNetworks
NeedsCompilation: no
Packaged: 2023-03-30 01:10:59 UTC; kc
Author: Steve Vissault [aut, ctb] , Kevin Cazelles [aut, cre] , Gabriel Bergeron [aut, ctb], Benjamin Mercier [aut, ctb], Clement Violet [aut, ctb], Dominique Gravel [aut], Timothee Poisot [aut], Thomas Lin Pedersen [rev] , Anna Willoughby [rev]
Maintainer: Kevin Cazelles <kevin.cazelles@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 14:10:02 UTC

More information about rmangal at CRAN
Permanent link

Package osrm updated to version 4.1.1 with previous version 4.0.0 dated 2022-10-20

Title: Interface Between R and the OpenStreetMap-Based Routing Service OSRM
Description: An interface between R and the 'OSRM' API. 'OSRM' is a routing service based on 'OpenStreetMap' data. See <http://project-osrm.org/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).
Author: Timothee Giraud [cre, aut] , Robin Cura [ctb], Matthieu Viry [ctb], Robin Lovelace [ctb]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between osrm versions 4.0.0 dated 2022-10-20 and 4.1.1 dated 2023-03-30

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New package dynamAedes with initial version 2.1.2
Package: dynamAedes
Version: 2.1.2
Date: 2023-03-23
Title: A Unified Mechanistic Model for the Population Dynamics of Invasive Aedes Mosquitoes
Depends: R (>= 4.0.0)
Imports: doParallel, dplyr, drc, fields, foreach, geosphere, raster, slam, sp
BugReports: https://github.com/mattmar/dynamAedes
Description: Generalised model for population dynamics of invasive Aedes mosquitoes. Rationale and model structure are described here: Da Re et al. (2021) <doi:10.1016/j.ecoinf.2020.101180> and Da Re et al. (2022) <doi:10.1101/2021.12.21.473628>.
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
License: GPL (>= 2)
Suggests: terra, parallel, rmarkdown, knitr, eesim, ggplot2, gstat, spatstat, rgdal
URL: https://mattmar.github.io/dynamAedes/
NeedsCompilation: no
Packaged: 2023-03-30 09:20:18 UTC; matteo
Author: Matteo Marcantonio [aut, cre], Daniele Da Re [aut]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 14:10:05 UTC

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Package cdmTools updated to version 1.0.3 with previous version 1.0.2 dated 2022-05-24

Title: Useful Tools for Cognitive Diagnosis Modeling
Description: Provides useful tools for cognitive diagnosis modeling (CDM). The package includes functions for empirical Q-matrix estimation and validation, such as the Hull method (Nájera, Sorrel, de la Torre, & Abad, 2021, <doi:10.1111/bmsp.12228>) and the discrete factor loading method (Wang, Song, & Ding, 2018, <doi:10.1007/978-3-319-77249-3_29>). It also contains dimensionality assessment procedures for CDM, including parallel analysis and automated fit comparison as explored in Nájera, Abad, and Sorrel (2021, <doi:10.3389/fpsyg.2021.614470>). Other relevant methods and features for CDM applications, such as the restricted DINA model (Nájera et al., 2023), the general nonparametric classification method (Chiu et al., 2018; <doi:10.1007/s11336-017-9595-4>), and corrected estimation of the classification accuracy via multiple imputation (Kreitchmann et al., 2022; <doi:10.3758/s13428-022-01967-5>) are also available. Lastly, the package provides some useful fu [...truncated...]
Author: Pablo Najera [aut, cre, cph], Miguel A. Sorrel [aut, cph], Francisco J. Abad [aut, cph], Rodrigo S. Kreitchmann [ctb]
Maintainer: Pablo Najera <pablo.najera@uam.es>

Diff between cdmTools versions 1.0.2 dated 2022-05-24 and 1.0.3 dated 2023-03-30

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Package vivainsights updated to version 0.3.0 with previous version 0.2.0 dated 2023-01-17

Title: Analyze and Visualize Data from 'Microsoft Viva Insights'
Description: Provides a versatile range of functions, including exploratory data analysis, time-series analysis, and data validation, whilst at the same time implements a set of best practices in analyzing and visualizing data specific to 'Microsoft Viva Insights'.
Author: Martin Chan [aut, cre], Carlos Morales [aut]
Maintainer: Martin Chan <martin.chan@microsoft.com>

Diff between vivainsights versions 0.2.0 dated 2023-01-17 and 0.3.0 dated 2023-03-30

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Package wellknown (with last version 0.7.4) was removed from CRAN

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

2021-05-25 0.7.4
2021-01-07 0.7.2
2020-10-20 0.7.0
2020-01-10 0.6.0
2018-03-29 0.5.0
2015-10-22 0.1.0

Permanent link
Package RoBTT updated to version 1.0.3 with previous version 1.0.2 dated 2023-03-30

Title: Robust Bayesian T-Test
Description: An implementation of Bayesian model-averaged t-test that allows users to draw inference about the presence vs absence of the effect, heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model ensembles of models created as a combination of the competing hypotheses and uses Bayesian model-averaging to combine the models using posterior model probabilities. Users can obtain the model-averaged posterior distributions and inclusion Bayes factors which account for the uncertainty in the data generating process (Maier et al., 2022, <doi:10.31234/osf.io/d5zwc>). Users can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between RoBTT versions 1.0.2 dated 2023-03-30 and 1.0.3 dated 2023-03-30

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Package car updated to version 3.1-2 with previous version 3.1-1 dated 2022-10-19

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

Diff between car versions 3.1-1 dated 2022-10-19 and 3.1-2 dated 2023-03-30

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New package vctsfr with initial version 0.1.0
Package: vctsfr
Title: Visualizing Collections of Time Series Forecasts
Version: 0.1.0
Description: A way of visualizing collections of time series and, optionally their future values, forecasts for their future values and prediction intervals for the forecasts. A web-based GUI can be used to display the information in a collection of time series.
Maintainer: Francisco Martinez <fmartin@ujaen.es>
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: forecast, knitr, Mcomp, rmarkdown, testthat (>= 3.0.0)
Imports: ggplot2, methods, shiny
URL: https://github.com/franciscomartinezdelrio/vctsfr
BugReports: https://github.com/franciscomartinezdelrio/vctsfr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-30 08:45:50 UTC; UJA
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-03-30 09:20:02 UTC

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Package rtop updated to version 0.6-5 with previous version 0.6-2 dated 2023-03-13

Title: Interpolation of Data with Variable Spatial Support
Description: Data with irregular spatial support, such as runoff related data or data from administrative units, can with 'rtop' be interpolated to locations without observations with the top-kriging method. A description of the package is given by Skøien et al (2014) <doi:10.1016/j.cageo.2014.02.009>.
Author: Jon Olav Skoeien [aut, cre], Qingyun Duan [ctb]
Maintainer: Jon Olav Skoeien <jon.skoien@gmail.com>

Diff between rtop versions 0.6-2 dated 2023-03-13 and 0.6-5 dated 2023-03-30

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New package lenght with initial version 0.1.0
Package: lenght
Title: Allow Misspellings of Length Function
Version: 0.1.0
Description: Convenient aliases for common ways of misspelling the base R function length(). These include every permutation of the final three letters.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-30 08:09:41 UTC; jacobbradley
Author: Jacob Bradley [aut, cre, cph] , Isabella Deutsch [aut, cph]
Maintainer: Jacob Bradley <cobrbradley@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 09:20:09 UTC

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Package hardhat updated to version 1.3.0 with previous version 1.2.0 dated 2022-06-30

Title: Construct Modeling Packages
Description: Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
Author: Davis Vaughan [aut, cre], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between hardhat versions 1.2.0 dated 2022-06-30 and 1.3.0 dated 2023-03-30

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Package FAOSTAT updated to version 2.3.0 with previous version 2.2.4 dated 2023-02-14

Title: Download Data from the FAOSTAT Database
Description: Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations. A list of functions to download statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>) and WDI (database of the World Bank <https://data.worldbank.org/>), and to perform some harmonization operations.
Author: Michael C. J. Kao <michael.kao@fao.org>, Markus Gesmann, Filippo Gheri
Maintainer: Paul Rougieux <paul.rougieux@gmail.com>

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Package descriptio updated to version 1.1 with previous version 1.0 dated 2023-02-23

Title: Descriptive Statistical Analysis
Description: Description of statistical associations between two variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between two variables (using 'ggplot2') and weighted statistics.
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package timsr (with last version 0.0.3) was removed from CRAN

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

2021-05-11 0.0.3
2021-05-04 0.0.2

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Package opentimsr (with last version 1.0.13) was removed from CRAN

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

2022-03-29 1.0.13
2022-03-08 1.0.12
2021-12-18 1.0.11
2021-07-06 1.0.7
2021-03-10 1.0.5
2021-02-18 1.0.4
2021-01-21 1.0.3

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Package RoBTT updated to version 1.0.2 with previous version 1.0.1 dated 2023-03-13

Title: Robust Bayesian T-Test
Description: An implementation of Bayesian model-averaged t-test that allows users to draw inference about the presence vs absence of the effect, heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model ensembles of models created as a combination of the competing hypotheses and uses Bayesian model-averaging to combine the models using posterior model probabilities. Users can obtain the model-averaged posterior distributions and inclusion Bayes factors which account for the uncertainty in the data generating process (Maier et al., 2022, <doi:10.31234/osf.io/d5zwc>). Users can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package outForest updated to version 0.1.3 with previous version 0.1.2 dated 2022-01-31

Title: Multivariate Outlier Detection and Replacement
Description: Provides a random forest based implementation of the method described in Chapter 7.1.2 (Regression model based anomaly detection) of Chandola et al. (2009) <doi:10.1145/1541880.1541882>. It works as follows: Each numeric variable is regressed onto all other variables by a random forest. If the scaled absolute difference between observed value and out-of-bag prediction of the corresponding random forest is suspiciously large, then a value is considered an outlier. The package offers different options to replace such outliers, e.g. by realistic values found via predictive mean matching. Once the method is trained on a reference data, it can be applied to new data.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package LDAandLDAS updated to version 1.1.1 with previous version 1.1.0 dated 2023-03-29

Title: Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)
Description: Computation of linkage disequilibrium of ancestry (LDA) and linkage disequilibrium of ancestry score (LDAS). LDA calculates the pairwise linkage disequilibrium of ancestry between single nucleotide polymorphisms (SNPs). LDAS calculates the LDA score of SNPs. The methods are described in Barrie W, Yang Y, Attfield K E, et al (2022) <doi:10.1101/2022.09.23.509097>.
Author: Yaoling Yang [aut, cre] , Daniel Lawson [aut]
Maintainer: Yaoling Yang <yaoling.yang@bristol.ac.uk>

Diff between LDAandLDAS versions 1.1.0 dated 2023-03-29 and 1.1.1 dated 2023-03-30

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Package fedstatAPIr updated to version 1.0.3 with previous version 1.0.0 dated 2023-03-10

Title: Unofficial API for Fedstat (Rosstat EMISS System) for Automatic and Efficient Data Queries
Description: An API for automatic data queries to the fedstat <https://www.fedstat.ru>, using a small set of functions with a common interface.
Author: Denis Krylov [aut, cre], Dmitry Kibalnikov [aut]
Maintainer: Denis Krylov <deniskrylovvit@gmail.com>

Diff between fedstatAPIr versions 1.0.0 dated 2023-03-10 and 1.0.3 dated 2023-03-30

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Package dndR updated to version 1.1.0 with previous version 1.0.0 dated 2023-02-16

Title: Dungeons & Dragons Functions for Players and Dungeon Masters
Description: The goal of 'dndR' is to provide a suite of Dungeons & Dragons related functions. This package is meant to be useful both to players and Dungeon Masters (DMs). All functions currently focus on Fifth Edition (a.k.a. "5e") but once the next edition is published functions will likely be expanded to include any rule changes.
Author: Nicholas Lyon [aut, cre] , Tim Schatto-Eckrodt [ctb] , Humberto Nappo [ctb]
Maintainer: Nicholas Lyon <njlyon@alumni.iastate.edu>

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Package atable updated to version 0.1.12 with previous version 0.1.11 dated 2022-02-21

Title: Create Tables for Reporting Clinical Trials
Description: Create Tables for Reporting Clinical Trials. Calculates descriptive statistics and hypothesis tests, arranges the results in a table ready for reporting with LaTeX, HTML or Word.
Author: Armin Stroebel [aut, cre] , Alan Haynes [aut]
Maintainer: Armin Stroebel <arminstroebel@web.de>

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New package SenSpe with initial version 1.1
Package: SenSpe
Version: 1.1
Date: 2023-03-28
Title: Estimating Specificity at Controlled Sensitivity, or Vice Versa
Author: Yijian Huang <yhuang5@emory.edu>
Maintainer: Yijian Huang <yhuang5@emory.edu>
Depends: R (>= 2.8.0)
Description: Perform biomarker evaluation and comparison in terms of specificity at a controlled sensitivity level, or sensitivity at a controlled specificity level. Point estimation and exact bootstrap of Huang, Parakati, Patil, and Sanda (2023) <doi:10.5705/ss.202021.0020> for the one- and two-sample problems are implemented.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2023-03-29 20:51:22 UTC; eugene
Repository: CRAN
Date/Publication: 2023-03-30 07:30:02 UTC

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New package rrandvec with initial version 1.0.0
Package: rrandvec
Title: Generate Random Vectors Whose Components Sum Up to One
Description: A single method implementing multiple approaches to generate pseudo-random vectors whose components sum up to one (see, e.g., Maziero (2015) <doi:10.1007/s13538-015-0337-8>). The components of such vectors can for example be used for weighting objectives when reducing multi-objective optimisation problems to a single-objective problem in the socalled weighted sum scalarisation approach.
Version: 1.0.0
Depends: R (>= 3.1.0)
Imports: Rcpp, checkmate
Suggests: covr, testthat, scatterplot3d
License: BSD_2_clause + file LICENSE
URL: https://jakobbossek.github.io/rrandvec/, https://github.com/jakobbossek/rrandvec
BugReports: https://github.com/jakobbossek/rrandvec/issues
Encoding: UTF-8
ByteCompile: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-03-29 15:42:20 UTC; bossek
Author: Jakob Bossek [aut, cre, cph]
Maintainer: Jakob Bossek <j.bossek@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-30 07:10:02 UTC

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Package AFR updated to version 0.3.4 with previous version 0.2.0 dated 2022-10-11

Title: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
Description: Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. The package includes functions from existing R packages adapted for banking sector of Kazakhstan. The purpose of the package is to optimize statistical functions for easier interpretation for bank analysts and non-statisticians.
Author: Timur Abilkassymov [aut], Shyngys Shuneyev [aut], Alua Makhmetova [aut, cre]
Maintainer: Alua Makhmetova <alua.makhmetova@gmail.com>

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Package rmangal (with last version 2.1.2) was removed from CRAN

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

2023-01-27 2.1.2
2022-05-15 2.1.1
2021-11-24 2.1.0

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Package HDCurves updated to version 0.1.2 with previous version 0.1.1 dated 2022-08-18

Title: Hierarchical Derivative Curve Estimation
Description: A procedure that fits derivative curves based on a sequence of quotient differences. In a hierarchical setting the package produces estimates of subject-specific and group-specific derivative curves. In a non-hierarchical setting the package produces a single derivative curve.
Author: Garritt L. Page [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Dae-Jin Lee [ctb], S. McKay Curtis [ctb], Radford M. Neal Neal [ctb]
Maintainer: Garritt L. Page <page@stat.byu.edu>

Diff between HDCurves versions 0.1.1 dated 2022-08-18 and 0.1.2 dated 2023-03-30

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