Fri, 08 Jul 2022

Package WRI updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-23

Title: Wasserstein Regression and Inference
Description: Implementation of the methodologies described in 1) Alexander Petersen, Xi Liu and Afshin A. Divani (2021) <doi:10.1214/20-aos1971>, including global F tests, partial F tests, intrinsic Wasserstein-infinity bands and Wasserstein density bands, and 2) Chao Zhang, Piotr Kokoszka and Alexander Petersen (2022) <doi:10.1111/jtsa.12590>, including estimation, prediction, and inference of the Wasserstein autoregressive models.
Author: Xi Liu [aut, cre], Chao Zhang [aut], Matthew Coleman [aut], Alexander Petersen [aut]
Maintainer: Xi Liu <xiliu@ucsb.edu>

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Package RMediation updated to version 1.2.0 with previous version 1.1.4 dated 2016-03-14

Title: Mediation Analysis Confidence Intervals
Description: We provide functions to compute confidence intervals (CIs) for a well-defined nonlinear function of the model parameters (e.g., product of k coefficients) in single--level and multilevel structural equation models.
Author: Davood Tofighi <dtofighi@gmail.com>
Maintainer: Davood Tofighi <dtofighi@gmail.com>

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Package rgl updated to version 0.109.6 with previous version 0.109.2 dated 2022-06-10

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Ed [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

Diff between rgl versions 0.109.2 dated 2022-06-10 and 0.109.6 dated 2022-07-08

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Package Rcpp updated to version 1.0.9 with previous version 1.0.8.3 dated 2022-03-17

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package pcaPP updated to version 2.0-2 with previous version 2.0-1 dated 2022-04-26

Title: Robust PCA by Projection Pursuit
Description: Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.
Author: Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between pcaPP versions 2.0-1 dated 2022-04-26 and 2.0-2 dated 2022-07-08

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Package BNPmix updated to version 1.0.1 with previous version 1.0.0 dated 2021-11-23

Title: Bayesian Nonparametric Mixture Models
Description: Functions to perform Bayesian nonparametric univariate and multivariate density estimation and clustering, by means of Pitman-Yor mixtures, and dependent Dirichlet process mixtures for partially exchangeable data. See Corradin et al. (2021) <doi:10.18637/jss.v100.i15> for more details.
Author: Riccardo Corradin [aut, cre], Antonio Canale [ctb], Bernardo Nipoti [ctb]
Maintainer: Riccardo Corradin <riccardo.corradin@gmail.com>

Diff between BNPmix versions 1.0.0 dated 2021-11-23 and 1.0.1 dated 2022-07-08

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Package robust updated to version 0.7-1 with previous version 0.7-0 dated 2022-02-01

Title: Port of the S+ "Robust Library"
Description: Methods for robust statistics, a state of the art in the early 2000s, notably for robust regression and robust multivariate analysis.
Author: Jiahui Wang, Ruben Zamar <ruben@stat.ubc.ca>, Alfio Marazzi <Alfio.Marazzi@inst.hospvd.ch>, Victor Yohai <vyohai@dm.uba.ar>, Matias Salibian-Barrera <matias@stat.ubc.ca>, Ricardo Maronna <maron@mate.unlp.edu.ar>, Eric Zivot <ezivot@u.washington.edu>, [...truncated...]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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New package parcats with initial version 0.0.4
Package: parcats
Title: Interactive Parallel Categories Diagrams for 'easyalluvial'
Version: 0.0.4
URL: https://erblast.github.io/parcats/
BugReports: https://github.com/erblast/parcats/issues/
Description: Complex graphical representations of data are best explored using interactive elements. 'parcats' adds interactive graphing capabilities to the 'easyalluvial' package. The 'plotly.js' parallel categories diagrams offer a good framework for creating interactive flow graphs that allow manual drag and drop sorting of dimensions and categories, highlighting single flows and displaying mouse over information. The 'plotly.js' dependency is quite heavy and therefore is outsourced into a separate package.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.0.0)
Suggests: testthat, covr, randomForest, knitr, rmarkdown, spelling, plotly, shiny
Imports: easyalluvial (>= 0.2.1.0), tidyr (>= 1.0.0), dplyr, purrr, forcats, magrittr, tibble, htmlwidgets, stringr
Language: en-US
NeedsCompilation: no
Packaged: 2022-07-08 07:19:14 UTC; koneswab
Author: Bjoern Koneswarakantha [aut, cre]
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-08 22:10:02 UTC

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New package ebirdst with initial version 1.2020.1
Package: ebirdst
Title: Access and Analyze eBird Status and Trends Data
Version: 1.2020.1
Description: Tools to download, load, plot, and analyze eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird abundances, range boundaries, and habitat associations at a high spatial and temporal resolution.
License: GPL-3
URL: https://github.com/CornellLabofOrnithology/ebirdst
BugReports: https://github.com/CornellLabofOrnithology/ebirdst/issues
Depends: R (>= 4.0.0)
Imports: DBI, dplyr (>= 1.0.0), gbm, ggplot2, grDevices, gridExtra, jsonlite, magrittr, mgcv, precrec, PresenceAbsence, raster (>= 3.1-5), rgdal, rlang, RSQLite, sf (>= 1.0-0), stats, stringr, tidyr (>= 1.0.0), tools, utils, viridisLite
Suggests: exactextractr, fields, knitr, rmarkdown, rnaturalearth, testthat, withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-08 13:20:32 UTC; mes335
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>
Repository: CRAN
Date/Publication: 2022-07-08 22:50:02 UTC

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Package eatRep updated to version 0.14.5 with previous version 0.14.4 dated 2022-06-29

Title: Educational Assessment Tools for Replication Methods
Description: Replication methods to compute some basic statistic operations (means, standard deviations, frequency tables, percentiles and generalized linear models) in complex survey designs comprising multiple imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors. See the package documentation for a more detailed description along with references.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Benjamin Becker [aut]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

Diff between eatRep versions 0.14.4 dated 2022-06-29 and 0.14.5 dated 2022-07-08

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Package swCRTdesign updated to version 3.3 with previous version 3.2 dated 2022-05-25

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 reda updated to version 0.5.4 with previous version 0.5.3 dated 2021-04-02

Title: Recurrent Event Data Analysis
Description: Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) <doi:10.1002/nav.3800260304> and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.
Author: Wenjie Wang [aut, cre] , Haoda Fu [aut], Sy Han Chiou [ctb], Jun Yan [ctb]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between reda versions 0.5.3 dated 2021-04-02 and 0.5.4 dated 2022-07-08

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Package o2plsda updated to version 0.0.16 with previous version 0.0.15 dated 2022-03-02

Title: Multiomics Data Integration
Description: Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.
Author: Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]
Maintainer: Kai Guo <guokai8@gmail.com>

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Package ggspatial updated to version 1.1.6 with previous version 1.1.5 dated 2021-01-04

Title: Spatial Data Framework for ggplot2
Description: Spatial data plus the power of the ggplot2 framework means easier mapping when input data are already in the form of spatial objects.
Author: Dewey Dunnington [aut, cre] , Brent Thorne [ctb] , Diego Hernangomez [ctb]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Package drda updated to version 2.0.1 with previous version 2.0.0 dated 2022-06-17

Title: Dose-Response Data Analysis
Description: Fit logistic functions to observed dose-response continuous data and evaluate goodness-of-fit measures. See Malyutina A., Tang J., and Pessia A. (2021) <doi:10.1101/2021.06.07.447323>.
Author: Alberto Pessia [aut, cre] , Alina Malyutina [ctb]
Maintainer: Alberto Pessia <dev@albertopessia.com>

Diff between drda versions 2.0.0 dated 2022-06-17 and 2.0.1 dated 2022-07-08

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New package ExactCIdiff with initial version 2.1
Package: ExactCIdiff
Version: 2.1
Date: 2022-07-06
Title: Inductive Confidence Intervals for the Difference Between Two Proportions
Author: Guogen Shan <gshan@ufl.edu>, Weizhen Wang <weizhen.wang@wright.edu>
Maintainer: Guogen Shan <gshan@ufl.edu>
Depends: R (>= 1.8.0)
Description: This is a package for exact Confidence Intervals for the difference between two independent or dependent proportions.
License: GPL (>= 2)
URL: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.R-2Dproject.org&d=DwICaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=u5749-0kOlGR1AfizUVmaw&m=qjJHLdipM5gUyXllZWH5kL0wENGFef6KuJ57hW5lHx14eZasfdmgFN_1geUbxk5J&s=VFf9h_9FOlJBpRMIjim8tGuVnJ7GlWc5qZkrA9kmoMM&e=, https://biostat.ufl.edu/profile/shan-guogen/
NeedsCompilation: no
Packaged: 2022-07-08 15:17:17 UTC; gshan
Repository: CRAN
Date/Publication: 2022-07-08 21:50:13 UTC

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Package ica updated to version 1.0-3 with previous version 1.0-2 dated 2018-05-24

Title: Independent Component Analysis
Description: Independent Component Analysis (ICA) using various algorithms: FastICA, Information-Maximization (Infomax), and Joint Approximate Diagonalization of Eigenmatrices (JADE).
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between ica versions 1.0-2 dated 2018-05-24 and 1.0-3 dated 2022-07-08

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Package Surrogate updated to version 2.3 with previous version 2.2 dated 2022-06-18

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Fenny Ong, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 2.2 dated 2022-06-18 and 2.3 dated 2022-07-08

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Package simstudy updated to version 0.5.0 with previous version 0.4.0 dated 2022-01-20

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre] , Jacob Wujciak-Jens [aut]
Maintainer: Keith Goldfeld <keith.goldfeld@nyulangone.org>

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Package ActivePathways updated to version 1.1.1 with previous version 1.1.0 dated 2022-04-20

Title: Integrative Pathway Enrichment Analysis of Multivariate Omics Data
Description: Framework for analysing multiple omics datasets in the context of molecular pathways, biological processes and other types of gene sets. The package uses p-value merging to combine gene- or protein-level signals, followed by ranked hypergeometric tests to determine enriched pathways and processes. This approach allows researchers to interpret a series of omics datasets in the context of known biology and gene function, and discover associations that are only apparent when several datasets are combined. The package is part of the following publication: Integrative Pathway Enrichment Analysis of Multivariate Omics Data. Paczkowska M^, Barenboim J^, Sintupisut N, Fox NS, Zhu H, Abd-Rabbo D, Mee MW, Boutros PC, PCAWG Drivers and Functional Interpretation Working Group; Reimand J, PCAWG Consortium. Nature Communications (2020) <doi:10.1038/s41467-019-13983-9>.
Author: Juri Reimand [aut, cre], Jonathan Barenboim [aut], Mykhaylo Slobodyanyuk [ctb]
Maintainer: Juri Reimand <juri.reimand@utoronto.ca>

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New package xadmix with initial version 1.0.0
Package: xadmix
Title: Subsetting and Plotting Optimized for Admixture Data
Version: 1.0.0
Description: A few functions which provide a quick way of subsetting genomic admixture data and generating customizable stacked barplots.
License: GPL (>= 3)
URL: https://github.com/SpaceCowboy-71/xadmix
BugReports: https://github.com/SpaceCowboy-71/xadmix/issues
Depends: R (>= 2.10)
Imports: dplyr, forcats, ggplot2, magrittr, methods, rlang, stringr, tidyr, viridis
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-07 15:08:33 UTC; Austin
Author: Lukas Schoenmann [aut, cre]
Maintainer: Lukas Schoenmann <lukas.schoenmann@outlook.com>
Repository: CRAN
Date/Publication: 2022-07-08 15:20:02 UTC

More information about xadmix at CRAN
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Package vmr updated to version 0.0.4 with previous version 0.0.3 dated 2021-03-18

Title: Virtual Machines for R
Description: Manage, provision and use Virtual Machines pre-configured for R. Develop, test and build package in a clean environment. 'Vagrant' tool and a provider (such as 'Virtualbox') have to be installed.
Author: Jean-Francois Rey [cre, aut]
Maintainer: Jean-Francois Rey <jf.rey.public@gmail.com>

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New package visaOTR with initial version 0.1.0
Package: visaOTR
Title: Valid Improved Sparsity A-Learning for Optimal Treatment Decision
Version: 0.1.0
Maintainer: Zishu Zhan <zishu927@hotmail.com>
Description: Valid Improved Sparsity A-Learning (VISA) provides a new method for selecting important variables involved in optimal treatment regime from a multiply robust perspective. The VISA estimator achieves its success by borrowing the strengths of both model averaging (ARM, Yuhong Yang, 2001) <doi:10.1198/016214501753168262> and variable selection (PAL, Chengchun Shi, Ailin Fan, Rui Song and Wenbin Lu, 2018) <doi:10.1214/17-AOS1570>. The package is an implementation of Zishu Zhan and Jingxiao Zhang. (2022+).
License: GPL-3
Encoding: UTF-8
Imports: Rglpk, e1071, kernlab, Matrix, mboost, randomForest, stats, xgboost
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-07 11:20:59 UTC; treer
Author: Zishu Zhan [aut, cre], Jingxiao Zhang [aut]
Repository: CRAN
Date/Publication: 2022-07-08 15:20:05 UTC

More information about visaOTR at CRAN
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Package kim updated to version 0.5.55 with previous version 0.5.3 dated 2022-03-18

Title: A Toolkit for Behavioral Scientists
Description: A collection of functions for analyzing data typically collected or used by behavioral scientists. Examples of the functions include a function that compares groups in a factorial experimental design, a function that conducts (robust) two-way analysis of variance (ANOVA), and a function that cleans a data set generated by Qualtrics surveys. Some of the functions will require installing additional package(s). Such packages and other references are cited within the section describing the relevant functions. Many functions in this package rely heavily on these two popular R packages: Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.
Author: Jin Kim [aut, cre]
Maintainer: Jin Kim <jin.m.kim@yale.edu>

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Package devtoolbox updated to version 0.2.0 with previous version 0.1.0 dated 2021-09-07

Title: Tools for the R Developer
Description: Reporting tools for the R developer to evaluate their packages in terms of complexity, usage, and performance. Developers can generate an HTML report that displays CRAN downloads, number of open GitHub issues and pull requests, package dependencies, and so on, with each component of the report available as independent functions.
Author: Martin Chan [aut, cre]
Maintainer: Martin Chan <martinchan53@gmail.com>

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Package broman updated to version 0.80 with previous version 0.76 dated 2021-10-11

Title: Karl Broman's R Code
Description: Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.
Author: Karl W Broman [aut, cre] , Aimee Teo Broman [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

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New package ThresholdROCsurvival with initial version 1.0.1
Package: ThresholdROCsurvival
Title: Threshold and AUC Estimation with Right-Censored Data at a Fixed Time t
Version: 1.0.1
Date: 2022-07-06
Description: We focus on the estimation of optimal thresholds and AUCs when the outcome of interest is the status (alive or dead) of the subjects at a certain time-point t. This binary status is determined by right-censored times to event and it is missing for those subjects censored before t. Here we provide three methods (missing exclusion, imputation of censored times and using time-dependent ROC curves) to estimate optimal thresholds and AUCs in this context. Two references for the methods used here are Skaltsa et al. (2010) <doi:10.1002/bimj.200900294> and Heagerty et al. (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: boot, InformativeCensoring, pROC, psych, survival, survivalROC, ThresholdROC
LazyData: TRUE
NeedsCompilation: no
Packaged: 2022-07-06 14:23:30 UTC; sperezj
Author: Sara Perez-Jaume [aut, cre], Josep L Carrasco [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-08 14:20:05 UTC

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Package rts updated to version 1.1-7 with previous version 1.1-3 dated 2021-10-16

Title: Raster Time Series Analysis
Description: This framework aims to provide classes and methods for manipulating and processing of raster time series data (e.g. a time series of satellite images).
Author: Babak Naimi
Maintainer: Babak Naimi <naimi.b@gmail.com>

Diff between rts versions 1.1-3 dated 2021-10-16 and 1.1-7 dated 2022-07-08

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New package rKenyaForex with initial version 0.1.0
Package: rKenyaForex
Title: Historical Data for Kenya Foreign Exchange Prices
Version: 0.1.0
Author: Mutua Kilai
Maintainer: Mutua Kilai <kilaimutua@gmail.com>
Description: Exchange rate for Kenya Shilling against other currencies, US DOLLAR, EURO, STERLING POUND, Tanzania Shilling, Uganda Shilling.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-07-06 06:33:30 UTC; Mutua Sam
Repository: CRAN
Date/Publication: 2022-07-08 14:10:05 UTC

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New package ivgets with initial version 0.1.0
Package: ivgets
Title: General to Specific Modeling and Indicator Saturation in 2SLS Models
Version: 0.1.0
Description: Provides facilities of general to specific model selection for exogenous regressors in 2SLS models. Furthermore, indicator saturation methods can be used to detect outliers and structural breaks in the sample.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), gets (>= 0.36), ivreg
Imports: stats, stringr
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/jkurle/ivgets
BugReports: https://github.com/jkurle/ivgets/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-06 09:38:54 UTC; jonas
Author: Kurle Jonas [aut, cre]
Maintainer: Kurle Jonas <mail@jonaskurle.com>
Repository: CRAN
Date/Publication: 2022-07-08 14:20:02 UTC

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New package HurreconR with initial version 1.0
Package: HurreconR
Title: Models Hurricane Wind Speed, Wind Direction, and Wind Damage
Version: 1.0
Date: 2022-07-06
Description: The HURRECON model estimates wind speed, wind direction, enhanced Fujita scale wind damage, and duration of EF0 to EF5 winds as a function of hurricane location and maximum sustained wind speed. Results may be generated for a single site or an entire region. Hurricane track and intensity data may be imported directly from the US National Hurricane Center's HURDAT2 database. For details on the original version of the model written in Borland Pascal, see: Boose, Chamberlin, and Foster (2001) <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2> and Boose, Serrano, and Foster (2004) <doi:10.1890/02-4057>.
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
Imports: graphics, grDevices, raster, rgdal, utils
Suggests: knitr, qpdf, testthat (>= 3.0.0), rmarkdown
URL: https://github.com/hurrecon-model/HurreconR
BugReports: https://github.com/hurrecon-model/hurreconR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-06 21:30:15 UTC; erb709
Author: Emery Boose [aut, cre], President and Fellows of Harvard College [cph]
Maintainer: Emery Boose <boose@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2022-07-08 14:50:02 UTC

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New package fMRIscrub with initial version 0.11.2
Package: fMRIscrub
Title: Scrubbing and Other Data Cleaning Routines for fMRI
Version: 0.11.2
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Data-driven fMRI denoising with projection scrubbing (Pham et al (2022) <arXiv:2108.00319>). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) <doi:10.1016/j.neuroimage.2017.12.098>), motion scrubbing (Power et al (2012) <doi:10.1016/j.neuroimage.2011.10.018>), aCompCor (anatomical Components Correction) (Muschelli et al (2014) <doi:10.1016/j.neuroimage.2014.03.028>), detrending, and nuisance regression. Projection scrubbing and DVARS are also applicable to other outlier detection tasks involving high-dimensional data.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: MASS, e1071, pesel, robustbase, stats, utils
Suggests: corpcor, cowplot, ciftiTools, gifti, knitr, rmarkdown, RNifti, ggplot2, gsignal, fastICA, oro.nifti, testthat (>= 3.0.0), covr
URL: https://github.com/mandymejia/fMRIscrub
BugReports: https://github.com/mandymejia/fMRIscrub/issues
LazyData: true
NeedsCompilation: no
Packaged: 2022-07-06 06:00:11 UTC; ddpham
Author: Amanda Mejia [aut, cre], John Muschelli [aut] , Damon Pham [aut] , Daniel McDonald [ctb]
Repository: CRAN
Date/Publication: 2022-07-08 14:30:02 UTC

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New package Families with initial version 1.0.1
Package: Families
Title: Kinship Ties in Virtual Populations
Version: 1.0.1
Depends: R (>= 3.5.0)
Imports: msm,reshape
Suggests: knitr, rmarkdown,ggplot2,lubridate,xml2
BuildResaveData: best
VignetteBuilder: knitr
LazyData: true
Date: 2022-07-06
Maintainer: Frans Willekens <willekens@nidi.nl>
Description: Tools to study kinship networks, grandparenthood, and double burden (presence of children and oldest old parents) in virtual population produced by 'VirtualPop'.
License: GPL-2
NeedsCompilation: no
Encoding: UTF-8
BugReports: https://github.com/willekens/VirtualPop/issues
Packaged: 2022-07-06 16:16:43 UTC; frans
Author: Frans Willekens [aut, cre]
Repository: CRAN
Date/Publication: 2022-07-08 14:30:06 UTC

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Package BAT updated to version 2.9.0 with previous version 2.8.1 dated 2022-03-13

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxonomic, phylogenetic and functional). It allows performing a number of analyses based on species identities/abundances, phylogenetic/functional distances, trees, convex-hulls or kernel density n-dimensional hypervolumes depicting species relationships. Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.
Author: Pedro Cardoso [aut, cre], Stefano Mammola [aut], Francois Rigal [aut], Jose Carvalho [aut]
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between BAT versions 2.8.1 dated 2022-03-13 and 2.9.0 dated 2022-07-08

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Package wdpar updated to version 1.3.3 with previous version 1.3.2 dated 2021-12-05

Title: Interface to the World Database on Protected Areas
Description: Fetch and clean data from the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). Data is obtained from Protected Planet <https://www.protectedplanet.net/en>. To augment data cleaning procedures, users can install the 'prepr' R package (available at <https://github.com/dickoa/prepr>).
Author: Jeffrey O Hanson [aut, cre]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between wdpar versions 1.3.2 dated 2021-12-05 and 1.3.3 dated 2022-07-08

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Package gpboost updated to version 0.7.8 with previous version 0.7.7 dated 2022-06-10

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2020) <arXiv:2004.02653> and Sigrist (2021) <arXiv:2105.08966> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the included version of Eigen [ctb, cph], Timot [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 0.7.7 dated 2022-06-10 and 0.7.8 dated 2022-07-08

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Package cnaOpt updated to version 0.5.2 with previous version 0.5.1 dated 2022-04-21

Title: Optimizing Consistency and Coverage in Configurational Causal Modeling
Description: This is an add-on to the 'cna' package <https://CRAN.R-project.org/package=cna> comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see Baumgartner and Ambuehl (2021) <doi:10.1177/0049124121995554>.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

Diff between cnaOpt versions 0.5.1 dated 2022-04-21 and 0.5.2 dated 2022-07-08

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Package marqLevAlg updated to version 2.0.7 with previous version 2.0.6 dated 2022-03-09

Title: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
Description: This algorithm provides a numerical solution to the problem of unconstrained local minimization (or maximization). It is particularly suited for complex problems and more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives. See Philipps et al, 2021 <doi:10.32614/RJ-2021-089>.
Author: Viviane Philipps, Cecile Proust-Lima, Melanie Prague, Boris Hejblum, Daniel Commenges, Amadou Diakite
Maintainer: Viviane Philipps <viviane.philipps@u-bordeaux.fr>

Diff between marqLevAlg versions 2.0.6 dated 2022-03-09 and 2.0.7 dated 2022-07-08

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Package RALSA updated to version 1.3.0 with previous version 1.2.0 dated 2022-05-04

Title: R Analyzer for Large-Scale Assessments
Description: Prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design (see 'Rutkowski', 2010 <doi:10.3102/0013189X10363170>). Such studies are, for example, international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical interface is available for the non-technical user.The package includes functions to covert the original data from 'SPSS' into 'R' data sets keeping the user-defined missing values, merge data from different respondents and/or countries, generate variable dictionaries, modify data, produce descriptive statistics (percentages, means, percentiles, benchmarks) and multivariate statistics (correlations, linear regression, binary logistic regression). The number of supported studies and analysis types will increase in future. For a general presentation of the package, see 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed technical aspects of the package, see 'Mirazchiyski', 2021b (<doi:10.3390/psych3020018>).
Author: Plamen V. Mirazchiyski [aut, cre], INERI [aut]
Maintainer: Plamen V. Mirazchiyski <plamen.mirazchiyski@ineri.org>

Diff between RALSA versions 1.2.0 dated 2022-05-04 and 1.3.0 dated 2022-07-08

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Package cna updated to version 3.4.0 with previous version 3.3.0 dated 2021-12-17

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

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Package ebirdst (with last version 1.2020.0) was removed from CRAN

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

2022-07-07 1.2020.0
2022-04-01 0.3.5
2022-03-16 0.3.4
2021-11-12 0.3.3
2021-09-15 0.3.2

Permanent link
Package usincometaxes updated to version 0.5.0 with previous version 0.4.0 dated 2022-05-30

Title: Calculate Federal and State Income Taxes in the United States
Description: Calculates federal and state income taxes in the United States. It acts as a wrapper to the NBER's TAXSIM 35 (<http://taxsim.nber.org/taxsim35/>) tax simulator. TAXSIM 35 conducts the calculations, while 'usincometaxes' prepares the data for TAXSIM 35, sends the data to TAXSIM 35's server or communicates with the Web Assembly file, retrieves the data, and places it into a data frame. All without the user worrying about this process.
Author: Shane Orr [aut, cre, cph], Thomas Wells [ctb]
Maintainer: Shane Orr <shane.j.orr@gmail.com>

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Package Quartet updated to version 1.2.5 with previous version 1.2.4 dated 2022-05-02

Title: Comparison of Phylogenetic Trees Using Quartet and Split Measures
Description: Calculates the number of four-taxon subtrees consistent with a pair of cladograms, calculating the symmetric quartet distance of Bandelt & Dress (1986), Reconstructing the shape of a tree from observed dissimilarity data, Advances in Applied Mathematics, 7, 309-343 <doi:10.1016/0196-8858(86)90038-2>, and using the tqDist algorithm of Sand et al. (2014), tqDist: a library for computing the quartet and triplet distances between binary or general trees, Bioinformatics, 30, 2079–2080 <doi:10.1093/bioinformatics/btu157> for pairs of binary trees.
Author: Martin R. Smith [aut, cre, cph] , Andreas Sand [ant], Gerth Stoelting Brodal [ant], Rolf Fagerberg [ant], Thomas Mailund [ant], Christian N. S. Pedersen [ant], Jens Johansen [ant], Morten K. Holt [ant]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package insurancerating updated to version 0.7.0 with previous version 0.6.9 dated 2021-12-11

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. It also provides recipes on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package Bios2cor updated to version 2.2.1 with previous version 2.2 dated 2020-10-02

Title: From Biological Sequences and Simulations to Correlation Analysis
Description: Utilities for computation and analysis of correlation/covariation in multiple sequence alignments and in side chain motions during molecular dynamics simulations. Features include the computation of correlation/covariation scores using a variety of scoring functions between either sequence positions in alignments or side chain dihedral angles in molecular dynamics simulations and utilities to analyze the correlation/covariation matrix through a variety of tools including network representation and principal components analysis. In addition, several utility functions are based on the R graphical environment to provide friendly tools for help in data interpretation. Examples of sequence covariation analysis are provided in: (1) Pele J, Moreau M, Abdi H, Rodien P, Castel H, Chabbert M (2014) <doi:10.1002/prot.24570> and (2) Taddese B, Deniaud M, Garnier A, Tiss A, Guissouma H, Abdi H, Henrion D, Chabbert M (2018) <doi: 10.1371/journal.pcbi.1006209>. An example of side chain correlated motion analysis is provided in: Taddese B, Garnier A, Abdi H, Henrion D, Chabbert M (2020) <doi: 10.1038/s41598-020-72766-1>. This work was supported by the French National Research Agency (Grant number: ANR-11-BSV2-026) and by GENCI (Grant number: 100567).
Author: Bruck Taddese [aut], Antoine Garnier [aut], Madeline Deniaud [aut], Julien Pele [ctb], Lea Bellenger [ctb], Jean-Michel Becu [ctb], Marie Chabbert [aut,cre]
Maintainer: Marie Chabbert <marie.chabbert@univ-angers.fr>

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Package aods3 updated to version 0.4-1.2 with previous version 0.4-1.1 dated 2018-08-30

Title: Analysis of Overdispersed Data using S3 Methods
Description: Provides functions to analyse overdispersed counts or proportions. These functions should be considered as complements to more sophisticated methods such as generalized estimating equations (GEE) or generalized linear mixed effect models (GLMM). aods3 is an S3 re-implementation of the deprecated S4 package aod.
Author: Matthieu Lesnoff <matthieu.lesnoff@cirad.fr> and Renaud Lancelot <renaud.lancelot@cirad.fr>
Maintainer: Renaud Lancelot <renaud.lancelot@cirad.fr>

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Package ACDm updated to version 1.0.4.1 with previous version 1.0.4 dated 2016-07-16

Title: Tools for Autoregressive Conditional Duration Models
Description: Package for Autoregressive Conditional Duration (ACD, Engle and Russell, 1998) models. Creates trade, price or volume durations from transactions (tic) data, performs diurnal adjustments, fits various ACD models and tests them.
Author: Markus Belfrage
Maintainer: Markus Belfrage <markus.belfrage@gmail.com>

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Package touch updated to version 0.1-6 with previous version 0.1-5 dated 2019-11-17

Title: Tools of Utilization and Cost in Healthcare
Description: R implementation of the software tools developed in the H-CUP (Healthcare Cost and Utilization Project) <https://www.hcup-us.ahrq.gov> and AHRQ (Agency for Healthcare Research and Quality) <https://www.ahrq.gov>. It currently contains functions for mapping ICD-9 codes to the AHRQ comorbidity measures and translating ICD-9 (resp. ICD-10) codes to ICD-10 (resp. ICD-9) codes based on GEM (General Equivalence Mappings) from CMS (Centers for Medicare and Medicaid Services).
Author: Wenjie Wang [aut, cre] , Yan Li [aut], Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package SUMMER updated to version 1.3.0 with previous version 1.2.1 dated 2022-02-14

Title: Small-Area-Estimation Unit/Area Models and Methods for Estimation in R
Description: Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645> and Li et al. (2020) <arXiv:2007.05117>.
Author: Zehang R Li [cre, aut], Bryan D Martin [aut], Yuan Hsiao [aut], Jessica Godwin [aut], John Paige [aut], Peter Gao [aut], Jon Wakefield [aut], Samuel J Clark [aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Zehang R Li <lizehang@gmail.com>

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Package lme4 updated to version 1.1-30 with previous version 1.1-29 dated 2022-04-07

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut, cre] , Steven Walker [aut] , Rune Haubo Bojesen Christensen [ctb] , Henrik Singmann [ctb] , Bin Dai [ctb], Fabian Scheipl [ctb] , Gabor Grothendieck [ctb], Peter Green [ctb] , John Fox [c [...truncated...]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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Package qmd (with last version 1.1.0) was removed from CRAN

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

2022-06-20 1.1.0
2021-09-28 1.0.0

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Package pfocal (with last version 1.0.0) was removed from CRAN

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

2022-06-17 1.0.0

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