Wed, 25 May 2022

New package mixedCCA with initial version 1.5.2
Package: mixedCCA
Title: Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data
Version: 1.5.2
Date: 2022-05-25
Maintainer: Irina Gaynanova <irinag@stat.tamu.edu>
Description: Semi-parametric approach for sparse canonical correlation analysis which can handle mixed data types: continuous, binary and truncated continuous. Bridge functions are provided to connect Kendall's tau to latent correlation under the Gaussian copula model. The methods are described in Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007> and Yoon, Mueller and Gaynanova (2020) <doi:10.1080/10618600.2021.1882468>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.1), stats, MASS
Imports: Rcpp, pcaPP, Matrix, fMultivar, mnormt, irlba
NeedsCompilation: yes
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2022-05-25 18:16:48 UTC; irinag
Author: Grace Yoon [aut] , Mingze Huang [ctb] , Irina Gaynanova [aut, cre]
Repository: CRAN
Date/Publication: 2022-05-25 23:10:02 UTC

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New package scar with initial version 0.2-2
Package: scar
Version: 0.2-2
Date: 2022-05-25
Title: Shape-Constrained Additive Regression: a Maximum Likelihood Approach
Author: Yining Chen and Richard Samworth
Maintainer: Yining Chen <y.chen101@lse.ac.uk>
Depends: R (>= 3.0.0)
Suggests: gam, mgcv, scam
Description: Computes the maximum likelihood estimator of the generalised additive and index regression with shape constraints. Each additive component function is assumed to obey one of the nine possible shape restrictions: linear, increasing, decreasing, convex, convex increasing, convex decreasing, concave, concave increasing, or concave decreasing. For details, see Chen and Samworth (2016) <doi:10.1111/rssb.12137>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-05-25 16:13:43 UTC; chen
Repository: CRAN
Date/Publication: 2022-05-25 22:50:02 UTC

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Package rpartScore updated to version 1.0-2 with previous version 1.0-1 dated 2012-12-08

Title: Classification Trees for Ordinal Responses
Description: Recursive partitioning methods to build classification trees for ordinal responses within the CART framework. Trees are grown using the Generalized Gini impurity function, where the misclassification costs are given by the absolute or squared differences in scores assigned to the categories of the response. Pruning is based on the total misclassification rate or on the total misclassification cost.
Author: Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
Maintainer: Giuliano Galimberti <giuliano.galimberti@unibo.it>

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Package MapGAM updated to version 1.2-6 with previous version 1.2-5 dated 2019-07-27

Title: Mapping Smoothed Effect Estimates from Individual-Level Data
Description: Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (2020). Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).
Author: Lu Bai, Scott Bartell, Robin Bliss, and Veronica Vieira
Maintainer: Scott Bartell <sbartell@uci.edu>

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New package markovchain with initial version 0.8.9
Package: markovchain
Title: Easy Handling Discrete Time Markov Chains
Version: 0.8.9
Date: 2022-05-24
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>.
License: GPL-2
Depends: R (>= 4.0.0), methods
Imports: igraph, Matrix, expm, stats4, parallel, Rcpp (>= 1.0.2), RcppParallel, utils, stats, grDevices
Suggests: knitr, testthat, diagram, DiagrammeR, msm, Rsolnp, rmarkdown, ctmcd, bookdown, rticles
Enhances: etm
VignetteBuilder: utils, knitr
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (>= 0.9.600.4.0)
SystemRequirements: GNU make
LazyLoad: yes
ByteCompile: yes
Encoding: UTF-8
BugReports: https://github.com/spedygiorgio/markovchain/issues
URL: https://github.com/spedygiorgio/markovchain/
NeedsCompilation: yes
Packaged: 2022-05-25 18:16:37 UTC; giorgio
Author: Giorgio Alfredo Spedicato [aut, cre] , Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] , Deepak Yadav [aut], Ignacio Cordon [aut] , Vandit Jain [ctb], Toni Giorgino [ctb] , Richel J.C. Bilderbeek [ctb] , Daniel Ebbert [ [...truncated...]
Repository: CRAN
Date/Publication: 2022-05-25 22:50:05 UTC

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New package GLIDE with initial version 1.0.5
Package: GLIDE
Title: Global and Individual Tests for Direct Effects
Version: 1.0.5
Date: 2022-05-20
Author: James Dai [aut, cre], Xiaoyu Wang [aut]
Maintainer: James Dai <jdai@fredhutch.org>
Description: Global and individual tests for pleiotropy and direct effects in Mendelian randomization studies. Refer to J. Y. Dai, U. Peters, X. Wang, J. Kocarnik et al. AJE (2018) <doi:10.1093/aje/kwy177>.
Depends: R (>= 2.10)
Imports: MASS,foreach,parallel,doParallel
LazyLoad: no
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2022-05-25 21:53:18 UTC; xwang234
Repository: CRAN
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Date/Publication: 2022-05-25 23:00:02 UTC

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Package dcurves updated to version 0.3.0 with previous version 0.2.0 dated 2021-07-20

Title: Decision Curve Analysis for Model Evaluation
Description: Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes, but often require collection of additional information may be cumbersome to apply to models that yield a continuous result. Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. See the following references for details on the methods: Vickers (2006) <doi:10.1177/0272989X06295361>, Vickers (2008) <doi:10.1186/1472-6947-8-53>, and Pfeiffer (2020) <doi:10.1002/bimj.201800240>.
Author: Daniel D. Sjoberg [aut, cre, cph], Emily Vertosick [ctb]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package catIrt updated to version 0.5.1 with previous version 0.5-0 dated 2014-10-05

Title: Simulate IRT-Based Computerized Adaptive Tests
Description: Functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.
Author: Steven Nydick [cre, aut]
Maintainer: Steven Nydick <swnydick@gmail.com>

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Package usethis updated to version 2.1.6 with previous version 2.1.5 dated 2021-12-09

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Malcolm Barrett [aut] , RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package hapassoc updated to version 1.2-9 with previous version 1.2-8 dated 2015-05-10

Title: Inference of Trait Associations with SNP Haplotypes and Other Attributes using the EM Algorithm
Description: The following R functions are used for inference of trait associations with haplotypes and other covariates in generalized linear models. The functions are developed primarily for data collected in cohort or cross-sectional studies. They can accommodate uncertain haplotype phase and handle missing genotypes at some SNPs.
Author: K. Burkett <kburkett@uottawa.ca>, B. McNeney <mcneney@sfu.ca>, J. Graham <jgraham@stat.sfu.ca>, with code for case-control data contributed by Zhijian Chen <z11chen@math.uwaterloo.ca>
Maintainer: K. Burkett <kburkett@uottawa.ca>

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Package vetiver updated to version 0.1.5 with previous version 0.1.4 dated 2022-04-28

Title: Version, Share, Deploy, and Monitor Models
Description: The goal of 'vetiver' is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The 'vetiver' package is extensible, with generics that can support many kinds of models.
Author: Julia Silge [cre, aut] , RStudio [cph, fnd]
Maintainer: Julia Silge <julia.silge@rstudio.com>

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Package tidypredict updated to version 0.4.9 with previous version 0.4.8 dated 2020-10-28

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Max Kuhn [aut, cre], Edgar Ruiz [aut]
Maintainer: Max Kuhn <max@rstudio.com>

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Package swCRTdesign updated to version 3.2 with previous version 3.1 dated 2019-10-25

Title: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description: A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191. <doi:10.1016/j.cct.2006.05.007>).
Author: Jim Hughes, Navneet R. Hakhu, Emily Voldal, and Fan Xia
Maintainer: Jim Hughes <jphughes@uw.edu>

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Package PUPAIM updated to version 0.3.1 with previous version 0.3.0 dated 2022-05-12

Title: A Collection of Physical and Chemical Adsorption Isotherm Models
Description: The PUPAIM R package can generally fit any adsorption experimental data to any of the 55 available adsorption isotherm models - 32 nonlinear models and 23 linear models. This package provides parameter estimation, model accuracy analysis, model error analysis, and adsorption plot created using the package 'ggplot2'. This package will help the users for a much easier way of adsorption model data fitting.
Author: Keith T. Ostan [aut] , Paul Angelo C. Manlapaz [aut] , Jemimah Christine L. Mesias [aut] , Chester C. Deocaris [aut, ths, cre]
Maintainer: Chester C. Deocaris <ccdeocaris@pup.edu.ph>

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New package traitdataform with initial version 0.6.8
Package: traitdataform
Title: Formatting and Harmonizing Ecological Trait-Data
Version: 0.6.8
Date: 2022-05-25
Description: Assistance for handling ecological trait data and applying the Ecological Trait-Data Standard terminology (Schneider et al. 2019 <doi:10.1111/2041-210X.13288>). There are two major use cases: (1) preparation of own trait datasets for publication, and (2) harmonizing trait datasets from different sources by re-formatting them into a unified format. See 'traitdataform' website for full documentation.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 2.10)
Imports: data.table, stats, reshape2, taxize, getPass, units, suppdata, curl, XML, RCurl, plyr
URL: https://ecologicaltraitdata.github.io/traitdataform/, https://github.com/ecologicaltraitdata/traitdataform
BugReports: https://github.com/ecologicaltraitdata/traitdataform/issues
VignetteBuilder: knitr
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2022-05-25 14:26:48 UTC; Flo
Author: Florian D. Schneider [aut, cre] , Caterina Penone [ctb] , Andreas Ostrowski [ctb] , Dennis Heimann [ctb], Felix Neff [ctb], Markus J. Ankenbrand [ctb], Jessica Burnett [ctb], Inaki Ucar [ctb], Matthias Grenie [ctb]
Maintainer: Florian D. Schneider <florian.dirk.schneider@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-25 15:10:02 UTC

More information about traitdataform at CRAN
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Package StereoMorph updated to version 1.6.7 with previous version 1.6.5 dated 2022-05-12

Title: Stereo Camera Calibration and Reconstruction
Description: Functions for the collection of 3D points and curves using a stereo camera setup.
Author: Aaron Olsen, Annat Haber
Maintainer: Aaron Olsen <aarolsen@gmail.com>

Diff between StereoMorph versions 1.6.5 dated 2022-05-12 and 1.6.7 dated 2022-05-25

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Package pogit updated to version 1.3.0 with previous version 1.2.0 dated 2019-01-17

Title: Bayesian Variable Selection for a Poisson-Logistic Model
Description: Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.
Author: Michaela Dvorzak [aut, cre], Helga Wagner [aut]
Maintainer: Michaela Dvorzak <m.dvorzak@gmx.at>

Diff between pogit versions 1.2.0 dated 2019-01-17 and 1.3.0 dated 2022-05-25

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Package habCluster updated to version 1.0.5 with previous version 1.0.3 dated 2022-05-18

Title: Detecting Spatial Clustering Based on Connection Cost Between Grids
Description: Based on landscape connectivity, spatial boundaries were identified using community detection algorithm at grid level. Methods using raster as input and the value of each cell of the raster is the "smoothness" to indicate how easy the cell connecting with neighbor cells. Details about the 'habCluster' package methods can be found in Zhang et al. <bioRxiv:2022.05.06.490926>.
Author: Qiang Dai
Maintainer: Qiang Dai <daiqiang@cib.ac.cn>

Diff between habCluster versions 1.0.3 dated 2022-05-18 and 1.0.5 dated 2022-05-25

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Package GeneralizedUmatrix updated to version 1.2.4 with previous version 1.2.2 dated 2021-01-12

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in <DOI: 10.1016/j.mex.2020.101093>.
Author: Michael Thrun [aut, cre, cph] , Felix Pape [ctb, ctr], Tim Schreier [ctb, ctr], Luis Winckelman [ctb, ctr], Quirin Stier [ctb, ctr], Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Permanent link

New package discnorm with initial version 0.2.1
Package: discnorm
Title: Test for Discretized Normality in Ordinal Data
Version: 0.2.1
Description: Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution. The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>. In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account, as described by Grønneberg and Foldnes (2022) <doi:10.1037/met0000495>.
License: GPL (>= 2)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: lavaan (>= 0.6.10), arules, sirt, MASS, pbivnorm, cubature, copula, mnormt, GoFKernel
NeedsCompilation: no
Packaged: 2022-05-25 10:00:38 UTC; njaalfoldnes
Author: Njål Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njål Foldnes <njal.foldnes@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-25 15:20:02 UTC

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Package bpr updated to version 1.0.5 with previous version 1.0.4 dated 2021-09-22

Title: Fitting Bayesian Poisson Regression
Description: Posterior sampling and inference for Bayesian Poisson regression models. The model specification makes use of Gaussian (or conditionally Gaussian) prior distributions on the regression coefficients. Details on the algorithm are found in D'Angelo and Canale (2021) <arXiv:2109.09520>.
Author: Laura D'Angelo
Maintainer: Laura D'Angelo <laura.dangelo@live.com>

Diff between bpr versions 1.0.4 dated 2021-09-22 and 1.0.5 dated 2022-05-25

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New package cdcatR with initial version 1.0.6
Package: cdcatR
Title: Cognitive Diagnostic Computerized Adaptive Testing
Version: 1.0.6
Date: 2022-05-25
Description: Provides a set of functions for conducting cognitive diagnostic computerized adaptive testing applications (Chen, 2009) <DOI:10.1007/s11336-009-9123-2>). It includes different item selection rules such us the global discrimination index (Kaplan, de la Torre, and Barrada (2015) <DOI:10.1177/0146621614554650>) and the nonparametric selection method (Chang, Chiu, and Tsai (2019) <DOI:10.1177/0146621618813113>), as well as several stopping rules. Functions for generating item banks and responses are also provided. To guide item bank calibration, model comparison at the item level can be conducted using the two-step likelihood ratio test statistic by Sorrel, de la Torre, Abad and Olea (2017) <DOI:10.1027/1614-2241/a000131>.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.5.0)
Imports: cdmTools (>= 1.0.1), GDINA (>= 2.2.0), ggplot2 (>= 3.3.0), cowplot, foreach, doSNOW, NPCD, stats
Suggests: CDM
URL: https://github.com/miguel-sorrel/cdcatR
BugReports: https://github.com/miguel-sorrel/cdcatR/issues
Encoding: UTF-8
Author: Miguel A. Sorrel [aut, cre, cph], Pablo Najera [aut, cph], Francisco J. Abad [aut, cph]
Maintainer: Miguel A. Sorrel <miguel.sorrel@uam.es>
NeedsCompilation: no
Packaged: 2022-05-25 09:44:50 UTC; msorr
Repository: CRAN
Date/Publication: 2022-05-25 15:10:08 UTC

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New package alookr with initial version 0.3.6
Package: alookr
Title: Model Classifier for Binary Classification
Version: 0.3.6
Description: A collection of tools that support data splitting, predictive modeling, and model evaluation. A typical function is to split a dataset into a training dataset and a test dataset. Then compare the data distribution of the two datasets. Another feature is to support the development of predictive models and to compare the performance of several predictive models, helping to select the best model.
Depends: R (>= 3.2.0), ggplot2 (>= 3.0.0), randomForest
Imports: caTools, cli (>= 1.1.0), dlookr, dplyr (>= 0.7.6), future, ggmosaic, MASS, MLmetrics, methods, party, purrr, ROCR, ranger, rlang, rpart, stats, tibble, tidyr, tidyselect, xgboost, glmnet
Suggests: knitr, ISLR, mice, mlbench, rmarkdown, stringi
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>
BugReports: https://github.com/choonghyunryu/alookr/issues
License: GPL-2 | file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-05-25 07:14:47 UTC; choonghyunryu
Repository: CRAN
Date/Publication: 2022-05-25 15:20:05 UTC

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Package radmixture (with last version 0.0.1) was removed from CRAN

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

2017-03-13 0.0.1

Permanent link
Package RFpredInterval updated to version 1.0.6 with previous version 1.0.5 dated 2022-01-20

Title: Prediction Intervals with Random Forests and Boosted Forests
Description: Implements various prediction interval methods with random forests and boosted forests. The package has two main functions: pibf() produces prediction intervals with boosted forests (PIBF) as described in Alakus et al. (2021) <arXiv:2106.08217> and rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020) <doi:10.1177/0962280219829885>.
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>

Diff between RFpredInterval versions 1.0.5 dated 2022-01-20 and 1.0.6 dated 2022-05-25

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Package GAIPE updated to version 1.1 with previous version 1.0 dated 2013-04-17

Title: Graphical Extension with Accuracy in Parameter Estimation (GAIPE)
Description: Implements graphical extension with accuracy in parameter estimation (AIPE) on RMSEA for sample size planning in structural equation modeling based on Lin, T.-Z. & Weng, L.-J. (2014) <doi: 10.1080/10705511.2014.915380>. And, it can also implement AIPE on RMSEA and power analysis on RMSEA.
Author: Tzu-Yao Lin
Maintainer: Yao Lin <zaiyaolin@gmail.com>

Diff between GAIPE versions 1.0 dated 2013-04-17 and 1.1 dated 2022-05-25

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More information about GAIPE at CRAN
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Package RcppAPT updated to version 0.0.9 with previous version 0.0.8 dated 2021-12-04

Title: 'Rcpp' Interface to the APT Package Manager
Description: The 'APT Package Management System' provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R. This can only work on a system with a suitable 'libapt-pkg-dev' installation so functionality is curtailed if such a library is not found.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppAPT versions 0.0.8 dated 2021-12-04 and 0.0.9 dated 2022-05-25

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Package monotone updated to version 0.1.2 with previous version 0.1.1 dated 2022-05-25

Title: Performs Monotone Regression
Description: The monotone package contains a fast up-and-down-blocks implementation for the pool-adjacent-violators algorithm for simple linear ordered monotone regression, including two spin-off functions for unimodal and bivariate monotone regression (see <doi:10.18637/jss.v102.c01>).
Author: Frank Busing [aut, cre], Juan Claramunt Gonzalez [aut]
Maintainer: Frank Busing <busing@fsw.leidenuniv.nl>

Diff between monotone versions 0.1.1 dated 2022-05-25 and 0.1.2 dated 2022-05-25

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More information about monotone at CRAN
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Package MLGL updated to version 0.6.7 with previous version 0.6.5 dated 2020-11-28

Title: Multi-Layer Group-Lasso
Description: It implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data (Grimonprez et al. (2018) <https://hal.inria.fr/hal-01857242>).
Author: Quentin Grimonprez [aut, cre], Samuel Blanck [ctb], Alain Celisse [ths], Guillemette Marot [ths], Yi Yang [ctb], Hui Zou [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

Diff between MLGL versions 0.6.5 dated 2020-11-28 and 0.6.7 dated 2022-05-25

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Package mlr3viz updated to version 0.5.9 with previous version 0.5.8 dated 2022-04-04

Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are intended to provide sensible defaults, yet can easily be customized to create camera-ready figures. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut] , Raphael Sonabend [aut] , Marc Becker [aut] , Jakob Richter [aut] , Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3viz versions 0.5.8 dated 2022-04-04 and 0.5.9 dated 2022-05-25

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Package mlr3learners updated to version 0.5.3 with previous version 0.5.2 dated 2022-01-22

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [cre, aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3learners versions 0.5.2 dated 2022-01-22 and 0.5.3 dated 2022-05-25

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More information about mlr3learners at CRAN
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New package africamonitor with initial version 0.1.2
Package: africamonitor
Title: Africa Macroeconomic Monitor Database API
Version: 0.1.2
Description: An R API providing access to a relational database with macroeconomic data for Africa. The database is maintained at the Kiel Institute for the World Economy. See <https://africamonitor.ifw-kiel.de/>.
URL: https://africamonitor.ifw-kiel.de/
License: GPL-3
Encoding: UTF-8
Imports: DBI, RMySQL, data.table, collapse
Depends: R (>= 3.3.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-05-24 21:19:17 UTC; sebastiankrantz
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2022-05-25 12:00:02 UTC

More information about africamonitor at CRAN
Permanent link

Package seqHMM updated to version 1.2.1-1 with previous version 1.2.0 dated 2021-10-18

Title: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for visualizing of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation. Documentation is available via several vignettes in this page, and the paper by Helske and Helske (2019, <doi:10.18637/jss.v088.i03>).
Author: Jouni Helske [aut, cre] , Satu Helske [aut]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between seqHMM versions 1.2.0 dated 2021-10-18 and 1.2.1-1 dated 2022-05-25

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Package r2spss updated to version 0.3.2 with previous version 0.3.1 dated 2022-03-23

Title: Format R Output to Look Like SPSS
Description: Create plots and LaTeX tables that look like SPSS output for use in teaching materials. Rather than copying-and-pasting SPSS output into documents, R code that mocks up SPSS output can be integrated directly into dynamic LaTeX documents with tools such as knitr. Functionality includes statistical techniques that are typically covered in introductory statistics classes: descriptive statistics, common hypothesis tests, ANOVA, and linear regression, as well as box plots, histograms, scatter plots, and line plots (including profile plots).
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package list updated to version 9.2.2 with previous version 9.2.1 dated 2022-05-10

Title: Statistical Methods for the Item Count Technique and List Experiment
Description: Allows researchers to conduct multivariate statistical analyses of survey data with list experiments. This survey methodology is also known as the item count technique or the unmatched count technique and is an alternative to the commonly used randomized response method. The package implements the methods developed by Imai (2011) <doi:10.1198/jasa.2011.ap10415>, Blair and Imai (2012) <doi:10.1093/pan/mpr048>, Blair, Imai, and Lyall (2013) <doi:10.1111/ajps.12086>, Imai, Park, and Greene (2014) <doi:10.1093/pan/mpu017>, Aronow, Coppock, Crawford, and Green (2015) <doi:10.1093/jssam/smu023>, Chou, Imai, and Rosenfeld (2017) <doi:10.1177/0049124117729711>, and Blair, Chou, and Imai (2018) <https://imai.fas.harvard.edu/research/files/listerror.pdf>. This includes a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs and a random effects setup, a Bayesian MCMC hierarchical regression model with up to three hierarchical groups, the combined list experiment and endorsement experiment regression model, a joint model of the list experiment that enables the analysis of the list experiment as a predictor in outcome regression models, a method for combining list experiments with direct questions, and methods for diagnosing and adjusting for response error. In addition, the package implements the statistical test that is designed to detect certain failures of list experiments, and a placebo test for the list experiment using data from direct questions.
Author: Graeme Blair [aut, cre], Winston Chou [aut], Kosuke Imai [aut], Bethany Park [ctb], Alexander Coppock [ctb]
Maintainer: Graeme Blair <graeme.blair@gmail.com>

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Package GMSE updated to version 1.0.0.1 with previous version 0.7.0.0 dated 2021-08-02

Title: Generalised Management Strategy Evaluation Simulator
Description: Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.
Author: A. Bradley Duthie [aut, cre] , Adrian Bach [aut], Nils Bunnefeld [aut, fnd] , Jeremy Cusack [ctb] , Isabel Jones [ctb] , Jeroen Minderman [aut] , Erlend Nilsen [ctb] , Ochoa Gabriela [aut] , Rocio Pozo [ctb] , Sarobidy Rakotonarivo [ctb] , Bram Van M [...truncated...]
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>

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Package eurlex updated to version 0.4.2 with previous version 0.4.1 dated 2022-03-31

Title: Retrieve Data on European Union Law
Description: Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests.
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>

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Package binGroup2 updated to version 1.2.4 with previous version 1.2.3 dated 2022-05-16

Title: Identification and Estimation using Group Testing
Description: Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms.
Author: Brianna Hitt [aut, cre] , Christopher Bilder [aut] , Frank Schaarschmidt [aut] , Brad Biggerstaff [aut] , Christopher McMahan [aut] , Joshua Tebbs [aut] , Boan Zhang [ctb], Michael Black [ctb], Peijie Hou [ctb], Peng Chen [ctb]
Maintainer: Brianna Hitt <brianna.hitt@afacademy.af.edu>

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Package monotone updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-10

Title: Performs Monotone Regression
Description: The monotone package contains a fast up-and-down-blocks implementation for the pool-adjacent-violators algorithm for simple linear ordered monotone regression, including two spin-off functions for unimodal and bivariate monotone regression (see <doi:10.18637/jss.v102.c01>).
Author: Frank Busing [aut, cre], Juan Claramunt Gonzalez [aut]
Maintainer: Frank Busing <busing@fsw.leidenuniv.nl>

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Package epiR updated to version 2.0.48 with previous version 2.0.46 dated 2022-03-31

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package SoilHyP updated to version 0.1.6 with previous version 0.1.5 dated 2021-01-08

Title: Soil Hydraulic Properties
Description: Provides functions for (1) soil water retention (SWC) and unsaturated hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2], Peters-Durner-Iden (PDI) [3, 4, 5], Brooks and Corey (bc) [8]), (2) fitting of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE) optimisation and (3) calculation of soil hydraulic properties (Ku and soil water contents) based on the simplified evaporation method (SEM) [6, 7]. Main references: [1] van Genuchten (1980) <doi:10.2136/sssaj1980.03615995004400050002x>, [2] Mualem (1976) <doi:10.1029/WR012i003p00513>, [3] Peters (2013) <doi:10.1002/wrcr.20548>, [4] Iden and Durner (2013) <doi:10.1002/2014WR015937>, [5] Peters (2014) <doi:10.1002/2014WR015937>, [6] Wind G. P. (1966), [7] Peters and Durner (2008) <doi:10.1016/j.jhydrol.2008.04.016> and [8] Brooks and Corey (1964).
Author: Ullrich Dettmann [aut, cre], Felix Andrews [ctb] which is not on r-cran . The SCEoptim function is adapted, and substantially revised from Brecht Donckels MATLAB code which is in turn adopted from Qingyun Duans MATLAB code), Brecht Donckels [ctb] , [...truncated...]
Maintainer: Ullrich Dettmann <ullrich.dettmann@thuenen.de>

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Package SecDim updated to version 2.2 with previous version 1.3 dated 2022-05-02

Title: The Second Dimension of Spatial Association
Description: Most of the current methods explore spatial association using observations at sample locations, which are defined as the first dimension of spatial association (FDA). The proposed concept of the second dimension of spatial association (SDA) aims to extract in-depth information about the geographical environment from locations outside sample locations for exploring spatial association.
Author: Yongze Song [aut, cre]
Maintainer: Yongze Song <yongze.song@postgrad.curtin.edu.au>

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Package radiant.model updated to version 1.4.4 with previous version 1.4.3 dated 2021-12-21

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package radiant.data updated to version 1.4.2 with previous version 1.4.1 dated 2021-11-12

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 1.4.1 dated 2021-11-12 and 1.4.2 dated 2022-05-25

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Package ORKM updated to version 0.1.1.1 with previous version 0.0.2.1 dated 2022-04-25

Title: The Online Regularized K-Means Clustering Algorithm
Description: Algorithm of online regularized k-means to deal with online multi(single) view data. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] , Miao Yu [aut], Haoyue Song [aut], Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package MeTo updated to version 0.1.1 with previous version 0.1.0 dated 2019-01-11

Title: Meteorological Tools
Description: Meteorological Tools following the FAO56 irrigation paper of Allen et al. (1998) [1]. Functions for calculating: reference evapotranspiration (ETref), extraterrestrial radiation (Ra), net radiation (Rn), saturation vapor pressure (satVP), global radiation (Rs), soil heat flux (G), daylight hours, and more. [1] Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).
Author: Ullrich Dettmann [aut, cre], R. Grima [aut]
Maintainer: Ullrich Dettmann <ullrich.dettmann@thuenen.de>

Diff between MeTo versions 0.1.0 dated 2019-01-11 and 0.1.1 dated 2022-05-25

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Package basefun updated to version 1.1-3 with previous version 1.1-2 dated 2022-01-14

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between basefun versions 1.1-2 dated 2022-01-14 and 1.1-3 dated 2022-05-25

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New package SynDI with initial version 0.1.0
Package: SynDI
Title: Synthetic Data Integration
Version: 0.1.0
Description: Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arXiv:2106.06835>.
License: GPL-2
URL: https://github.com/umich-biostatistics/SynDI
BugReports: https://github.com/umich-biostatistics/SynDI/issues
Depends: R (>= 3.6.0)
Imports: mice, magrittr, dplyr, StackImpute, arm, boot, broom, mvtnorm, randomForest, MASS, knitr
Suggests: markdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-05-24 15:19:44 UTC; mk
Author: Tian Gu [aut], Jeremy M.G. Taylor [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>
Repository: CRAN
Date/Publication: 2022-05-25 07:50:05 UTC

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Package shadowr updated to version 0.0.2 with previous version 0.0.1 dated 2022-04-22

Title: Selenium Plugin to Manage Multi Level Shadow Elements on Web Page
Description: Shadow Document Object Model is a web standard that offers component style and markup encapsulation. It is a critically important piece of the Web Components story as it ensures that a component will work in any environment even if other CSS or JavaScript is at play on the page. Custom HTML tags can't be directly identified with selenium tools, because Selenium doesn't provide any way to deal with shadow elements. Using this plugin you can handle any custom HTML tags.
Author: Ricardo Landolt [cre, aut], Sushil Gupta [ctb]
Maintainer: Ricardo Landolt <ricardo.landolt1@gmail.com>

Diff between shadowr versions 0.0.1 dated 2022-04-22 and 0.0.2 dated 2022-05-25

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Package relliptical updated to version 1.2.0 with previous version 1.1.0 dated 2022-01-07

Title: The Truncated Elliptical Family of Distributions
Description: It offers random numbers generation from members of the truncated multivariate elliptical family of distribution such as the truncated versions of the Normal, Student-t, Pearson VII, Slash, Logistic, among others. Particular distributions can be provided by specifying the density generating function. It also computes the first two moments (covariance matrix as well) for some particular distributions. References used for this package: Galarza, C. E., Matos, L. A., Castro, L. M., & Lachos, V. H. (2022). Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution. Journal of Multivariate Analysis, 189, 104944 <doi:10.1016/j.jmva.2021.104944>; Ho, H. J., Lin, T. I., Chen, H. Y., & Wang, W. L. (2012). Some results on the truncated multivariate t distribution. Journal of Statistical Planning and Inference, 142(1), 25-40 <doi:10.1016/j.jspi.2011.06.006>; Valeriano, K. A., Galarza, C. E., & Matos, L. A. (2021). Moments and random number generation for the truncated elliptical family of distributions. arXiv preprint <arXiv:2112.09319>.
Author: Katherine A. L. Valeriano [aut, cre] , Larissa Avila Matos [ctb] , Christian Galarza Morales [ctb]
Maintainer: Katherine A. L. Valeriano <katandreina@gmail.com>

Diff between relliptical versions 1.1.0 dated 2022-01-07 and 1.2.0 dated 2022-05-25

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Package radiant updated to version 1.4.2 with previous version 1.4.1 dated 2021-11-22

Title: Business Analytics using R and Shiny
Description: A platform-independent browser-based interface for business analytics in R, based on the shiny package. The application combines the functionality of 'radiant.data', 'radiant.design', 'radiant.basics', 'radiant.model', and 'radiant.multivariate'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant versions 1.4.1 dated 2021-11-22 and 1.4.2 dated 2022-05-25

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New package OPTS with initial version 0.1
Package: OPTS
Title: Optimization via Subsampling (OPTS)
Version: 0.1
Date: 2022-05-20
Maintainer: Mihai Giurcanu <giurcanu@uchicago.edu>
Author: Mihai Giurcanu [aut, cre], Marinela Capanu [aut, ctb], Colin Begg [aut], Mithat Gonen [aut]
Imports: MASS, cvTools, changepoint
Description: Subsampling based variable selection for low dimensional generalized linear models. The methods repeatedly subsample the data minimizing an information criterion (AIC/BIC) over a sequence of nested models for each subsample. Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models.
License: GPL-2
NeedsCompilation: no
Packaged: 2022-05-24 14:16:53 UTC; mgiurcanu
Repository: CRAN
Date/Publication: 2022-05-25 07:50:08 UTC

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New package nimbleNoBounds with initial version 1.0.1
Package: nimbleNoBounds
Title: Transformed Distributions for Improved MCMC Efficiency
Version: 1.0.1
Encoding: UTF-8
Date: 2022-05-24
Maintainer: David Pleydell <david.pleydell@inrae.fr>
Author: David Pleydell [aut, cre, cph]
URL: https://github.com/DRJP/nimbleNoBounds
Description: A collection of common univariate bounded probability distributions transformed to the unbounded real line, for the purpose of increased MCMC efficiency.
License: BSD_3_clause + file LICENSE
Copyright: See COPYRIGHTS file.
Depends: R (>= 3.1.2), nimble
Imports: methods
Suggests: knitr, rmarkdown, coda
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-24 14:27:37 UTC; pleydell
Repository: CRAN
Date/Publication: 2022-05-25 07:50:02 UTC

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New package multifunc with initial version 0.9.4
Package: multifunc
Version: 0.9.4
Date: 2022-05-23
Title: Analysis of Ecological Drivers on Ecosystem Multifunctionality
Description: Methods for the analysis of how ecological drivers affect the multifunctionality of an ecosystem based on methods of Byrnes et al. 2016 <doi:10.1111/2041-210X.12143> and Byrnes et al. 2022 <doi:10.1101/2022.03.17.484802>. Most standard methods in the literature are implemented (see vignettes) in a tidy format.
URL: https://jebyrnes.github.io/multifunc/, https://github.com/jebyrnes/multifunc
BugReports: https://github.com/jebyrnes/multifunc/issues
Imports: stats, dplyr, purrr, broom, MASS, utils, magrittr
Suggests: ggplot2, forcats, tidyr, gridExtra, knitr, patchwork, car
License: MIT + file LICENSE
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-23 16:01:35 UTC; jebyrnes
Author: Jarrett Byrnes [aut, cre, cph]
Maintainer: Jarrett Byrnes <jarrett.byrnes@umb.edu>
Repository: CRAN
Date/Publication: 2022-05-25 07:30:09 UTC

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Package meteospain updated to version 0.0.4 with previous version 0.0.3 dated 2021-11-05

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

Diff between meteospain versions 0.0.3 dated 2021-11-05 and 0.0.4 dated 2022-05-25

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New package lacrmr with initial version 1.0.5
Package: lacrmr
Title: Connect to the 'Less Annoying CRM' API
Version: 1.0.5
Description: Connect to the 'Less Annoying CRM' API with ease to get your crm data in a clean and tidy format. 'Less Annoying CRM' is a simple CRM built for small businesses, more information is available on their website <https://www.lessannoyingcrm.com/>.
License: GPL-3
URL: https://ixpantia.github.io/lacrmr/
BugReports: https://github.com/ixpantia/lacrmr/issues
Encoding: UTF-8
Depends: R (>= 3.6), magrittr
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, httptest, mockery
VignetteBuilder: knitr
Imports: dplyr, httr, jsonlite, janitor, sjmisc, stringr
NeedsCompilation: no
Packaged: 2022-05-25 00:23:47 UTC; frans
Author: ixpantia, family = SRL [cph], Ronny Hernandez Mora [aut] , Frans van Dunne [cre, aut]
Maintainer: Frans van Dunne <frans@ixpantia.com>
Repository: CRAN
Date/Publication: 2022-05-25 07:30:16 UTC

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New package GeoModels with initial version 1.0.0
Package: GeoModels
Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Version: 1.0.0
Date: 2022-05-01
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) simulation and inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associated with this package, as for instance, Bevilacqua and Gaetan (2015) <doi:10.1007/s11222-014-9460-6>, Bevilacqua et al. (2016) <doi:10.1007/s13253-016-0256-3>, Vallejos et al. (2020) <doi:10.1007/978-3-030-56681-4>, Bevilacqua et al. (2022) <doi:10.1016/j.jmva.2022.104949>, Bevilacqua et al. (2022) <doi:10.1007/s11749-021-00797-5>, Blasi et al. (2022) <doi:10.1016/j.spasta.2022.100596>, Morales-Navarrete et al. (2022) <arXiv:2105.03734>, and a large class of examples and tutorials.
Depends: R (>= 4.1.0), GPvecchia,fields, mapproj, plot3D, shape
License: GPL (>= 3)
Encoding: UTF-8
Imports: methods, spam, scatterplot3d, dfoptim, dotCall64, optimParallel, parallel, plotrix, pracma, pbivnorm, zipfR, sn, nabor, numDeriv, hypergeo, ucminf, lamW, GpGp,VGAM, data.table
Suggests: actuar, GoFKernel, sphereplot
Repository: CRAN
URL: https://vmoprojs.github.io/GeoModels-page/
BugReports: https://github.com/vmoprojs/GeoModels/issues
NeedsCompilation: yes
Packaged: 2022-05-24 12:55:45 UTC; morenobevilacqua
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Date/Publication: 2022-05-25 07:40:05 UTC

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Package ergm.count updated to version 4.1.1 with previous version 4.0.2 dated 2021-06-18

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
Description: A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are counts. See Krivitsky (2012) <doi:10.1214/12-EJS696> and Krivitsky, Hunter, Morris, and Klumb (2021) <arXiv:2106.04997>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [ctb], David R. Hunter [ctb], Joyce Cheng [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package dycdtools updated to version 0.4.2 with previous version 0.4.1 dated 2022-05-08

Title: Tools for DYRESM-CAEDYM Model Development: Calibration Assistant and Post-Processing
Description: Tools for DYRESM-CAEDYM model development, including assisting with calibrating selected model parameters and visualising model output through time series plot, profile plot, contour plot, and scatter plot.
Author: Songyan Yu [aut, cre] , Christopher McBride [ctb], Marieke Frassl [ctb]
Maintainer: Songyan Yu <sunny.yu@griffith.edu.au>

Diff between dycdtools versions 0.4.1 dated 2022-05-08 and 0.4.2 dated 2022-05-25

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 dycdtools-0.4.2/dycdtools/NAMESPACE                                |    1 
 dycdtools-0.4.2/dycdtools/NEWS.md                                  |    5 
 dycdtools-0.4.2/dycdtools/R/Fun_Calib-assist.R                     |  261 ++++++----
 dycdtools-0.4.2/dycdtools/R/Fun_Change-input-file.R                |    8 
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 dycdtools-0.4.2/dycdtools/R/Fun_Contour-plot_sim_obs.R             |  171 +++---
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 dycdtools-0.4.2/dycdtools/R/Fun_Interpol.R                         |   48 +
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 dycdtools-0.4.2/dycdtools/R/obs_temp.R                             |    6 
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New package ClusROC with initial version 1.0.1
Package: ClusROC
Title: ROC Analysis in Three-Class Classification Problems for Clustered Data
Date: 2022-05-12
Version: 1.0.1
Author: Duc-Khanh To [aut, cre] , with contributions from Gianfranco Adimari and Monica Chiogna
Maintainer: Duc-Khanh To <toduc@stat.unipd.it>
Description: Statistical methods for ROC surface analysis in three-class classification problems for clustered data and in presence of covariates. In particular, the package allows to obtain covariate-specific point and interval estimation for: (i) true class fractions (TCFs) at fixed pairs of thresholds; (ii) the ROC surface; (iii) the volume under ROC surface (VUS); (iv) the optimal pairs of thresholds. Methods considered in points (i), (ii) and (iv) are proposed and discussed in To et al. (2022) <doi:10.1177/09622802221089029>. Referring to point (iv), three different selection criteria are implemented: Generalized Youden Index (GYI), Closest to Perfection (CtP) and Maximum Volume (MV). Methods considered in point (iii) are proposed and discussed in Xiong et al. (2018) <doi:10.1177/0962280217742539>. Visualization tools are also provided. We refer readers to the articles cited above for all details.
License: GPL (>= 2)
Depends: R (>= 3.5.0), stats, utils, graphics, nlme
Imports: rgl, car, numDeriv, ggplot2, ggpubr, snow, doSNOW, foreach
Encoding: UTF-8
LazyData: true
LazyLoad: yes
ByteCompile: yes
URL: https://github.com/toduckhanh/ClusROC
BugReports: https://github.com/toduckhanh/ClusROC/issues
NeedsCompilation: no
Packaged: 2022-05-24 13:54:48 UTC; duckh
Repository: CRAN
Date/Publication: 2022-05-25 07:40:11 UTC

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Package AlgDesign updated to version 1.2.1 with previous version 1.2.0 dated 2019-11-29

Title: Algorithmic Experimental Design
Description: Algorithmic experimental designs. Calculates exact and approximate theory experimental designs for D,A, and I criteria. Very large designs may be created. Experimental designs may be blocked or blocked designs created from a candidate list, using several criteria. The blocking can be done when whole and within plot factors interact.
Author: Bob Wheeler <bwheelerg@gmail.com>
Maintainer: Jerome Braun <jvbraun.statistics@gmail.com>

Diff between AlgDesign versions 1.2.0 dated 2019-11-29 and 1.2.1 dated 2022-05-25

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New package tvmediation with initial version 1.1.0
Package: tvmediation
Date: 2022-05-13
Version: 1.1.0
Title: Time Varying Mediation Analysis
Description: Provides functions for estimating mediation effects that vary over time as described in Cai X, Coffman DL, Piper ME, Li R. Estimation and inference for the mediation effect in a time-varying mediation model. BMC Med Res Methodol. 2022;22(1):1-12.
Depends: R (>= 4.0.0)
Imports: stats (>= 4.0.2), dplyr (>= 1.0.2), ggplot2 (>= 3.3.2), locpol (>= 0.7-0)
Suggests: knitr, rmarkdown
License: GPL-3
URL: https://github.com/dcoffman/tvmediation/wiki
BugReports: https://github.com/dcoffman/tvmediation/issues
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-21 15:38:02 UTC; yajna
Author: Donna Coffman [aut, cre] , Xizhen Cai [aut] , Yajnaseni Chakraborti [aut] , Harry Zobel [ctb]
Maintainer: Donna Coffman <dcoffman@temple.edu>
Repository: CRAN
Date/Publication: 2022-05-25 06:40:02 UTC

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Package hibayes updated to version 1.1.0 with previous version 1.0.1 dated 2022-01-13

Title: Individual-Level, Summary-Level and Single-Step Bayesian Regression Model
Description: A user-friendly tool to fit Bayesian regression models. It can fit 3 types of Bayesian models using individual-level, summary-level, and individual plus pedigree-level (single-step) data for both Genomic prediction/selection (GS) and Genome-Wide Association Study (GWAS), it was designed to estimate joint effects and genetic parameters for a complex trait, including: (1) fixed effects and coefficients of covariates, (2) environmental random effects, and its corresponding variance, (3) genetic variance, (4) residual variance, (5) heritability, (6) genomic estimated breeding values (GEBV) for both genotyped and non-genotyped individuals, (7) SNP effect size, (8) phenotype/genetic variance explained (PVE) for single or multiple SNPs, (9) posterior probability of association of the genomic window (WPPA), (10) posterior inclusive probability (PIP). The functions are not limited, we will keep on going in enriching it with more features. References: Meuwissen et al. (2001) <doi:10.1093/genetics/157.4.1819>; Gustavo et al. (2013) <doi:10.1534/genetics.112.143313>; Habier et al. (2011) <doi:10.1186/1471-2105-12-186>; Yi et al. (2008) <doi:10.1534/genetics.107.085589>; Zhou et al. (2013) <doi:10.1371/journal.pgen.1003264>; Moser et al. (2015) <doi:10.1371/journal.pgen.1004969>; Lloyd-Jones et al. (2019) <doi:10.1038/s41467-019-12653-0>; Henderson (1976) <doi:10.2307/2529339>; Fernando et al. (2014) <doi:10.1186/1297-9686-46-50>.
Author: Lilin Yin [aut, cre, cph], Haohao Zhang [aut, cph], Xiaolei Liu [aut, cph]
Maintainer: Lilin Yin <ylilin@163.com>

Diff between hibayes versions 1.0.1 dated 2022-01-13 and 1.1.0 dated 2022-05-25

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Package AzureStor updated to version 3.7.0 with previous version 3.6.1 dated 2022-02-03

Title: Storage Management in 'Azure'
Description: Manage storage in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/product-categories/storage/>. On the admin side, 'AzureStor' includes features to create, modify and delete storage accounts. On the client side, it includes an interface to blob storage, file storage, and 'Azure Data Lake Storage Gen2': upload and download files and blobs; list containers and files/blobs; create containers; and so on. Authenticated access to storage is supported, via either a shared access key or a shared access signature (SAS). Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between AzureStor versions 3.6.1 dated 2022-02-03 and 3.7.0 dated 2022-05-25

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2017-11-06 0.1.1
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2013-08-14 1.0.0

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Package EcoHydRology (with last version 0.4.12.1) was removed from CRAN

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

2018-09-24 0.4.12.1
2014-04-04 0.4.12
2013-10-19 0.4.11
2013-04-04 0.4.9
2013-01-16 0.4.7
2013-01-14 0.4.6
2012-08-01 0.4.5
2012-07-16 0.4.3
2012-05-23 0.4.1
2011-06-20 0.3.8
2011-06-17 0.3.7

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Package baggedcv (with last version 1.0) was removed from CRAN

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2019-07-26 1.0

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Package HARtools (with last version 0.0.5) was removed from CRAN

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2016-11-09 0.0.5

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Package SpaTimeClus (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:

2020-10-14 1.0.1
2016-12-21 1.0

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

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2017-06-16 0.1.0

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Package Clustering (with last version 1.7.6) was removed from CRAN

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2022-04-19 1.7.6
2021-12-14 1.7.5
2021-12-08 1.7.4
2021-09-22 1.7.3

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Package DoE.multi.response (with last version 0.1.0) was removed from CRAN

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2019-08-22 0.1.0

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Package advclust (with last version 0.4) was removed from CRAN

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

2016-09-04 0.4

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