Wed, 27 May 2020

Package yhat updated to version 2.0-2 with previous version 2.0-1 dated 2020-05-25

Title: Interpreting Regression Effects
Description: The purpose of this package is to provide methods to interpret multiple linear regression and canonical correlation results including beta weights,structure coefficients, validity coefficients, product measures, relative weights, all-possible-subsets regression, dominance analysis, commonality analysis, and adjusted effect sizes.
Author: Kim Nimon <kim.nimon@gmail.com>, Fred Oswald, and J. Kyle Roberts.
Maintainer: Kim Nimon <kim.nimon@gmail.com>

Diff between yhat versions 2.0-1 dated 2020-05-25 and 2.0-2 dated 2020-05-27

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Package NIRStat updated to version 1.1 with previous version 1.0 dated 2018-01-29

Title: Novel Statistical Methods for Studying Near-Infrared Spectroscopy (NIRS) Time Series Data
Description: Provides transfusion-related differential tests on Near-infrared spectroscopy (NIRS) time series with detection limit, which contains two testing statistics: Mean Area Under the Curve (MAUC) and slope statistic. This package applied a penalized spline method within imputation setting. Testing is conducted by a nested permutation approach within imputation. Refer to Guo et al (2018) <doi:10.1177/0962280218786302> for further details.
Author: Yikai Wang [Emory University], Xiao Wang [ICF]
Maintainer: Yikai Wang <johnzon.wyk@gmail.com>

Diff between NIRStat versions 1.0 dated 2018-01-29 and 1.1 dated 2020-05-27

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Package CGPfunctions updated to version 0.6.1 with previous version 0.6.0 dated 2020-04-02

Title: Powell Miscellaneous Functions for Teaching and Learning Statistics
Description: Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not new methods but rather wrappers around either base R or other packages.
Author: Chuck Powell [aut, cre] (<https://orcid.org/0000-0002-3606-2188>)
Maintainer: Chuck Powell <ibecav@gmail.com>

Diff between CGPfunctions versions 0.6.0 dated 2020-04-02 and 0.6.1 dated 2020-05-27

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Package autoimage updated to version 2.1.9 with previous version 2.1 dated 2020-03-28

Title: Multiple Heat Maps for Projected Coordinates
Description: Functions for displaying multiple images or scatterplots with a color scale, i.e., heat maps, possibly with projected coordinates. The package relies on the base graphics system, so graphics are rendered rapidly.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between autoimage versions 2.1 dated 2020-03-28 and 2.1.9 dated 2020-05-27

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Package semTools updated to version 0.5-3 with previous version 0.5-2 dated 2019-08-30

Title: Useful Tools for Structural Equation Modeling
Description: Provides useful tools for structural equation modeling.
Author: Terrence D. Jorgensen [aut, cre] (<https://orcid.org/0000-0001-5111-6773>), Sunthud Pornprasertmanit [aut], Alexander M. Schoemann [aut] (<https://orcid.org/0000-0002-8479-8798>), Yves Rosseel [aut] (<https://orcid.org/0000-0002-4129-4477>), Patrick Miller [ctb], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb] (<https://orcid.org/0000-0002-2951-6647>), James Selig [ctb], Aaron Boulton [ctb], Kristopher Preacher [ctb], Donna Coffman [ctb], Mijke Rhemtulla [ctb] (<https://orcid.org/0000-0003-2572-2424>), Alexander Robitzsch [ctb] (<https://orcid.org/0000-0002-8226-3132>), Craig Enders [ctb], Ruben Arslan [ctb] (<https://orcid.org/0000-0002-6670-5658>), Bell Clinton [ctb], Pavel Panko [ctb], Edgar Merkle [ctb] (<https://orcid.org/0000-0001-7158-0653>), Steven Chesnut [ctb], Jarrett Byrnes [ctb], Jason D. Rights [ctb], Ylenio Longo [ctb], Maxwell Mansolf [ctb] (<https://orcid.org/0000-0001-6861-8657>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>

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Package gmnl updated to version 1.1-3.2 with previous version 1.1-3.1 dated 2018-11-06

Title: Multinomial Logit Models with Random Parameters
Description: An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) <doi:10.18637/jss.v079.i02>. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.
Author: Mauricio Sarrias [aut, cre] (<https://orcid.org/0000-0001-5932-4817>), Ricardo Daziano [aut], Yves Croissant [ctb]
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>

Diff between gmnl versions 1.1-3.1 dated 2018-11-06 and 1.1-3.2 dated 2020-05-27

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Package timereg updated to version 1.9.5 with previous version 1.9.4 dated 2019-07-30

Title: Flexible Regression Models for Survival Data
Description: Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package.
Author: Thomas Scheike with contributions from Torben Martinussen, Jeremy Silver and Klaus Holst
Maintainer: Thomas Scheike <ts@biostat.ku.dk>

Diff between timereg versions 1.9.4 dated 2019-07-30 and 1.9.5 dated 2020-05-27

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New package Rchoice with initial version 0.3-2
Package: Rchoice
Title: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters
Version: 0.3-2
Author: Mauricio Sarrias <msarrias86@gmail.com>
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>
Description: An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data.
Depends: R (>= 3.1.0), Formula, maxLik
Imports: msm, plm, plotrix, stats, graphics
Suggests: car, lmtest, memisc, pglm, sandwich
License: GPL (>= 2)
URL: http://msarrias.com/rchoice-package-in-r.html
LazyData: no
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-05-27 12:42:31 UTC; mauriciosarrias
Repository: CRAN
Date/Publication: 2020-05-27 15:30:07 UTC

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Package ows4R updated to version 0.1-5 with previous version 0.1-4 dated 2019-11-12

Title: Interface to OGC Web-Services (OWS)
Description: Provides an Interface to Web-Services defined as standards by the Open Geospatial Consortium (OGC), including Web Feature Service (WFS) for vector data, Catalogue Service (CSW) for ISO/OGC metadata and associated standards such as the common web-service specification (OWS) and OGC Filter Encoding. The long-term purpose is to add support for additional OGC service standards such as Web Coverage Service (WCS) and Web Processing Service (WPS).
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>), Norbert Billet [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between ows4R versions 0.1-4 dated 2019-11-12 and 0.1-5 dated 2020-05-27

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Package hypr updated to version 0.1.8 with previous version 0.1.7 dated 2020-04-27

Title: Hypothesis Matrix Translation
Description: Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038> and Rabe, Vasishth, Hohenstein, Kliegl, and Schad (2020) <doi:10.21105/joss.02134>.
Author: Maximilian M. Rabe [aut, cre], Shravan Vasishth [aut], Sven Hohenstein [aut], Reinhold Kliegl [aut], Daniel J. Schad [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

Diff between hypr versions 0.1.7 dated 2020-04-27 and 0.1.8 dated 2020-05-27

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Package fsbrain updated to version 0.2.1 with previous version 0.2.0 dated 2020-05-15

Title: Managing and Visualizing Brain Surface Data
Description: Provides high-level access to 'FreeSurfer' <http://freesurfer.net/> neuroimaging data on the level of subjects and groups. Load morphometry data, surfaces and brain parcellations based on atlases. Mask data using labels, load data for specific atlas regions only, and visualize data and results directly in 'R'.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

Diff between fsbrain versions 0.2.0 dated 2020-05-15 and 0.2.1 dated 2020-05-27

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New package sanon with initial version 1.6
Package: sanon
Type: Package
Title: Stratified Analysis with Nonparametric Covariable Adjustment
Version: 1.6
Date: 2020-05-27
Author: Atsushi Kawaguchi
Maintainer: Atsushi Kawaguchi <kawa_a24@yahoo.co.jp>
Depends: R (>= 3.5)
Description: There are several functions to implement the method for analysis in a randomized clinical trial with strata with following key features. A stratified Mann-Whitney estimator addresses the comparison between two randomized groups for a strictly ordinal response variable. The multivariate vector of such stratified Mann-Whitney estimators for multivariate response variables can be considered for one or more response variables such as in repeated measurements and these can have missing completely at random (MCAR) data. Non-parametric covariance adjustment is also considered with the minimal assumption of randomization. The p-value for hypothesis test and confidence interval are provided.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-05-27 12:50:45 UTC; kawaguchi
Repository: CRAN
Date/Publication: 2020-05-27 14:20:03 UTC

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Package MultisiteMediation updated to version 0.0.3 with previous version 0.0.2 dated 2018-06-15

Title: Causal Mediation Analysis in Multisite Trials
Description: Multisite causal mediation analysis using the methods proposed by Qin and Hong (2017) <doi:10.3102/1076998617694879> and Qin, Hong, Deutsch, and Bein (2019) <doi: 10.1111/rssa.12446>. It enables causal mediation analysis in multisite trials, in which individuals are assigned to a treatment or a control group at each site. It allows for estimation and hypothesis testing for not only the population average but also the between-site variance of direct and indirect effects. This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. This package also provides a function that can further incorporate a sample weight and a nonresponse weight for multisite causal mediation analysis in the presence of complex sample and survey designs and non-random nonresponse, to enhance both the internal validity and external validity. Because the identification assumptions are not always warranted, the package also provides a weighting-based balance checking function for assessing the remaining overt bias, as well as a weighting-based sensitivity analysis function for further evaluating the potential bias related to omitted confounding or to propensity score model misspecification.
Author: Xu Qin, Guanglei Hong, Jonah Deutsch, and Edward Bein
Maintainer: Xu Qin <xuqin@pitt.edu>

Diff between MultisiteMediation versions 0.0.2 dated 2018-06-15 and 0.0.3 dated 2020-05-27

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Package i2dash updated to version 0.2.1 with previous version 0.2 dated 2020-05-25

Title: Iterative and Interactive Dashboards
Description: Create customized, web-based dashboards for data presentation, exploration and sharing. 'i2dash' integrates easily into existing data analysis pipelines and can organize scientific findings thematically across different pages and layouts.
Author: Arsenij Ustjanzew [aut, cre, cph], Jens Preussner [aut, cph] (<https://orcid.org/0000-0003-1927-3458>), Mario Looso [aut, cph] (<https://orcid.org/0000-0003-1495-9530>)
Maintainer: Arsenij Ustjanzew <arsenij.ustjanzew@mpi-bn.mpg.de>

Diff between i2dash versions 0.2 dated 2020-05-25 and 0.2.1 dated 2020-05-27

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Package EMMIXcskew (with last version 0.9-5) was removed from CRAN

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

2018-02-14 0.9-5
2017-02-08 0.9-4

Permanent link
New package OasisR with initial version 3.0.2
Package: OasisR
Type: Package
Version: 3.0.2
Date: 2020-05-27
Title: Outright Tool for the Analysis of Spatial Inequalities and Segregation
Author: Mihai Tivadar <mihai.tivadar@inrae.fr>
Maintainer: Mihai Tivadar <mihai.tivadar@inrae.fr>
Description: A set of indexes and tests for the analysis of social segregation.
Depends: R (>= 4.0.0)
Imports: rgdal (>= 1.4-8), rgeos (>= 0.5-3), spdep (>= 1.1-3), measurements (>= 1.4.0), methods (>= 4.0.0), seg (>= 0.5-7), outliers (>= 0.14)
License: GPL-2 | GPL-3
LazyData: true
Suggests: testthat, knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2020-05-27 10:33:58 UTC; mihai.tivadar
Repository: CRAN
Date/Publication: 2020-05-27 13:10:09 UTC

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Package mads updated to version 0.1.6 with previous version 0.1.5 dated 2017-01-23

Title: Multi-Analysis Distance Sampling
Description: Performs distance sampling analyses on a number of species at once and can account for unidentified sightings, model uncertainty and covariate uncertainty. Unidentified sightings refer to sightings which cannot be allocated to a single species but may instead be allocated to a group of species. The abundance of each unidentified group is estimated and then prorated to the species estimates. Model uncertainty should be incorporated when multiple models give equally good fit to the data but lead to large differences in estimated density / abundance. Covariate uncertainty should be incorporated when covariates cannot be measured accurately, for example this is often the case for group size in marine mammal surveys. Variance estimation for these methods is via a non parametric bootstrap. The methods implemented are described in Gerodette T. and Forcada J. (2005) <doi:10.3354/meps291001> Non-recovery of two spotted and spinner dolphin populations in the eastern tropical Pacific Ocean.
Author: Laura Marshall
Maintainer: Laura Marshall <lhm@st-and.ac.uk>

Diff between mads versions 0.1.5 dated 2017-01-23 and 0.1.6 dated 2020-05-27

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Package IsoSpecR updated to version 2.1.0 with previous version 2.0.1 dated 2019-05-22

Title: The IsoSpec Algorithm
Description: IsoSpec is a fine structure calculator used for obtaining the most probable masses of a chemical compound given the frequencies of the composing isotopes and their masses. It finds the smallest set of isotopologues with a given probability. The probability is assumed to be that of the product of multinomial distributions, each corresponding to one particular element and parametrized by the frequencies of finding these elements in nature. These numbers are supplied by IUPAC - the International Union of Pure and Applied Chemistry.
Author: Mateusz Krzysztof Lacki and Michal Startek
Maintainer: Matteo Lacki <matteo.lacki@gmail.com>

Diff between IsoSpecR versions 2.0.1 dated 2019-05-22 and 2.1.0 dated 2020-05-27

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Package cbq updated to version 0.2.0.1 with previous version 0.1.0.0 dated 2020-01-09

Title: Conditional Binary Quantile Models
Description: Estimates conditional binary quantile models developed by Lu (2019) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
Author: Xiao Lu
Maintainer: Xiao LU <xiao.lu.research@gmail.com>

Diff between cbq versions 0.1.0.0 dated 2020-01-09 and 0.2.0.1 dated 2020-05-27

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Package stcos updated to version 0.3.0 with previous version 0.2.1 dated 2019-12-06

Title: Space-Time Change of Support
Description: Spatio-temporal change of support (STCOS) methods are designed for statistical inference on geographic and time domains which differ from those on which the data were observed. In particular, a parsimonious class of STCOS models supporting Gaussian outcomes was introduced by Bradley, Wikle, and Holan <doi:10.1002/sta4.94>. The 'stcos' package contains tools which facilitate use of STCOS models.
Author: Andrew M. Raim [aut, cre], Scott H. Holan [aut, res], Jonathan R. Bradley [aut, res], Christopher K. Wikle [aut, res]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>

Diff between stcos versions 0.2.1 dated 2019-12-06 and 0.3.0 dated 2020-05-27

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Package buildmer updated to version 1.6 with previous version 1.5 dated 2020-03-01

Title: Stepwise Elimination and Term Reordering for Mixed-Effects Regression
Description: Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect-selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, or the explained deviance.
Author: Cesko C. Voeten [aut, cre] (<https://orcid.org/0000-0003-4687-9973>)
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

Diff between buildmer versions 1.5 dated 2020-03-01 and 1.6 dated 2020-05-27

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New package Rarefy with initial version 1.0
Package: Rarefy
Type: Package
Title: Rarefaction Methods
Version: 1.0
Date: 2020-04-20
Authors@R: c(person("Elisa","Thouverai",email="elisa.th95@gmail.com",role=c("aut","cre")),person("Sandrine","Pavoine",role="aut"),person("Enrico","Tordoni",role="aut"),person("Duccio","Rocchini",role='aut'),person("Carlo","Ricotta",role='aut'),person("Alessandro","Chiarucci",role='aut'),person("Giovanni","Bacaro",role="aut"))
Description: Includes functions for the calculation of spatially and non-spatially explicit rarefaction curves using different indices of taxonomic, functional and phylogenetic diversity. The user can also rarefy any biodiversity metric as provided by a self-written function (or an already existent one) that gives as output a vector with the values of a certain index of biodiversity calculated per plot (Ricotta, C., Acosta, A., Bacaro, G., Carboni, M., Chiarucci, A., Rocchini, D., Pavoine, S. (2019) <doi:10.1016/j.ecolind.2019.105606>; Bacaro, G., Altobelli, A., Cameletti, M., Ciccarelli, D., Martellos, S., Palmer, M. W., … Chiarucci, A. (2016) <doi:10.1016/j.ecolind.2016.04.026>; Bacaro, G., Rocchini, D., Ghisla, A., Marcantonio, M., Neteler, M., & Chiarucci, A. (2012) <doi:10.1016/j.ecocom.2012.05.007>).
Depends: R (>= 3.5.0)
Imports: ade4,adiv,dplyr,geiger,methods,stats,vegan
Suggests: picante
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-05-21 16:20:53 UTC; elisathouverai
Author: Elisa Thouverai [aut, cre], Sandrine Pavoine [aut], Enrico Tordoni [aut], Duccio Rocchini [aut], Carlo Ricotta [aut], Alessandro Chiarucci [aut], Giovanni Bacaro [aut]
Maintainer: Elisa Thouverai <elisa.th95@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-27 10:30:10 UTC

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New package featureCorMatrix with initial version 0.4.0
Package: featureCorMatrix
Type: Package
Title: Measurement Level Independent Feature Correlation Matrix
Version: 0.4.0
Authors@R: c(person("Guido", "Moeser", role = c("aut", "cre"), email = "guido.moeser@masem.de"), person("Ilja", "Muhl", role = "aut"))
Maintainer: Guido Moeser <guido.moeser@masem.de>
Description: Uses three different correlation coefficients to calculate measurement-level adequate correlations in a feature matrix: Pearson product-moment correlation coefficient, Intraclass correlation and Cramer's V.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-18 13:57:00 UTC; Dr. Guido Möser
Author: Guido Moeser [aut, cre], Ilja Muhl [aut]
Repository: CRAN
Date/Publication: 2020-05-27 10:30:02 UTC

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New package bbsBayes with initial version 2.2.1
Package: bbsBayes
Type: Package
Title: Hierarchical Bayesian Analysis of North American BBS Data
Version: 2.2.1
Date: 2020-05-13
Authors@R: c(person("Brandon P.M.", "Edwards", role = c("aut", "cre"), email = "edwardsb@uoguelph.ca"), person("Adam C.", "Smith", role = "aut", email = "adam.smith2@canada.ca"))
Imports: progress, jagsUI, ggrepel, geofacet, ggplot2, stringr, grDevices, rgdal, dplyr, sf, tools, latticeExtra, rappdirs
Depends: R (>= 3.5)
SystemRequirements: JAGS 4.3.0 (https://sourceforge.net/projects/mcmc-jags/)
URL: https://github.com/BrandonEdwards/bbsBayes
NeedsCompilation: no
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 300 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 300+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Packaged: 2020-05-21 14:01:22 UTC; brand
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <edwardsb@uoguelph.ca>
Repository: CRAN
Date/Publication: 2020-05-27 10:30:06 UTC

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New package almanac with initial version 0.1.0
Package: almanac
Title: Tools for Working with Recurrence Rules
Version: 0.1.0
Authors@R: c(person(given = "Davis", family = "Vaughan", role = c("aut", "cre"), email = "davis@rstudio.com"), person(given = "RStudio", role = "cph"))
Description: Provides tools for defining recurrence rules and recurrence bundles. Recurrence rules are a programmatic way to define a recurring event, like the first Monday of December. Multiple recurrence rules can be combined into larger recurrence bundles. Together, these provide a system for adjusting and generating sequences of dates while simultaneously skipping over dates in a recurrence bundle's event set.
License: MIT + file LICENSE
URL: https://github.com/DavisVaughan/almanac
BugReports: https://github.com/DavisVaughan/almanac/issues
Depends: R (>= 3.2)
Imports: glue, lubridate, magrittr, R6, rlang, V8 (>= 3.0.1), vctrs (>= 0.3.0)
Suggests: covr, knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-05-21 10:33:31 UTC; davis
Author: Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>
Repository: CRAN
Date/Publication: 2020-05-27 10:10:03 UTC

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Package pammtools updated to version 0.2.3 with previous version 0.2.2 dated 2020-03-12

Title: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2018) <doi: 10.1093/biostatistics/kxy003>. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Fabian Scheipl [aut]
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

Diff between pammtools versions 0.2.2 dated 2020-03-12 and 0.2.3 dated 2020-05-27

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New package geodaData with initial version 0.1.0
Package: geodaData
Title: Spatial Analysis Datasets for Teaching
Version: 0.1.0
Authors@R: c(person(given = "Angela", family = "Li", role = c("aut", "cre"), email = "ali6@uchicago.edu", comment = c(ORCID = "0000-0002-8956-419X")), person(given = "Luc", family = "Anselin", role = c("ctb"), comment = "Creator of original spatial datasets") )
Description: Stores small spatial datasets used to teach basic spatial analysis concepts. Datasets are based off of the 'GeoDa' software workbook and data site <https://geodacenter.github.io/data-and-lab/> developed by Luc Anselin and team at the University of Chicago. Datasets are stored as 'sf' objects.
Depends: R (>= 3.3.0)
License: CC0
URL: https://github.com/spatialanalysis/geodaData
BugReports: https://github.com/spatialanalysis/geodaData/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: sf
NeedsCompilation: no
Packaged: 2020-05-20 01:07:05 UTC; angela
Author: Angela Li [aut, cre] (<https://orcid.org/0000-0002-8956-419X>), Luc Anselin [ctb] (Creator of original spatial datasets)
Maintainer: Angela Li <ali6@uchicago.edu>
Repository: CRAN
Date/Publication: 2020-05-27 09:20:02 UTC

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Package frailtypack updated to version 3.2.0.1 with previous version 3.2.0 dated 2020-04-12

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints 11) Two-part joint model for longitudinal semicontinuous data and a terminal event. 12) Joint frailty-copula models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints. Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models. Moreover, the package can be used with its shiny application, in a local mode or by following the link below.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Amadou Diakite, Alexandre Laurent, Myriam Lopez, Agnieszka Krol, Casimir L. Sofeu, Julien Dumerc, Denis Rustand
Maintainer: Virginie Rondeau <Virginie.Rondeau@inserm.fr>

Diff between frailtypack versions 3.2.0 dated 2020-04-12 and 3.2.0.1 dated 2020-05-27

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New package cprobit with initial version 1.0.2
Package: cprobit
Type: Package
Title: Conditional Probit Model for Analysing Continuous Outcomes
Version: 1.0.2
Author: Ning Yilin, Tan Chuen Seng
Maintainer: Ning Yilin <ningyilinnyl@gmail.com>
Depends: R (>= 3.5.0)
Imports: car, nortest, ggplot2, gridExtra
Description: Implements the three-step workflow for robust analysis of change in two repeated measurements of continuous outcomes, described in Ning et al. (in press), "Robust estimation of the effect of an exposure on the change in a continuous outcome", BMC Medical Research Methodology.
License: LGPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-21 06:13:47 UTC; yilinning
Repository: CRAN
Date/Publication: 2020-05-27 10:00:08 UTC

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Package autoFRK updated to version 1.3.0 with previous version 1.2.0 dated 2019-12-11

Title: Automatic Fixed Rank Kriging
Description: Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) <doi:10.1080/00401706.2017.1345701>. For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package.
Author: ShengLi Tzeng [aut, cre], Hsin-Cheng Huang [aut], Wen-Ting Wang [ctb], Douglas Nychka [ctb], Colin Gillespie [ctb]
Maintainer: ShengLi Tzeng <slt.cmu@gmail.com>

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Package pairwiseComparisons updated to version 0.3.1 with previous version 0.3.0 dated 2020-04-11

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover test Dwass-Steel-Crichtlow-Fligner test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package gglorenz updated to version 0.0.2 with previous version 0.0.1 dated 2018-02-12

Title: Plotting Lorenz Curve with the Blessing of 'ggplot2'
Description: Provides statistical transformations for plotting empirical ordinary Lorenz curve (Lorenz 1905) <doi:10.2307/2276207> and generalized Lorenz curve (Shorrocks 1983) <doi:10.2307/2554117>.
Author: JJ Chen [aut, cre] (<https://orcid.org/0000-0001-8482-8398>), Hernando Cortina [aut] (<https://orcid.org/0000-0001-6790-4870>)
Maintainer: JJ Chen <jiajia.chern@gmail.com>

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Package bayest updated to version 1.3 with previous version 1.2 dated 2020-05-05

Title: Bayesian t-Test
Description: Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided, too. For more details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>

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Package rfacebookstat updated to version 2.1.0 with previous version 2.0.3 dated 2020-05-06

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>)
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package jsonld updated to version 2.2 with previous version 2.1 dated 2019-02-05

Title: JSON for Linking Data
Description: JSON-LD is a light-weight syntax for expressing linked data. It is primarily intended for web-based programming environments, interoperable web services and for storing linked data in JSON-based databases. This package provides bindings to the JavaScript library for converting, expanding and compacting JSON-LD documents.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package icenReg updated to version 2.0.14 with previous version 2.0.13 dated 2019-12-16

Title: Regression Models for Interval Censored Data
Description: Regression models for interval censored data. Currently supports Cox-PH, proportional odds, and accelerated failure time models. Allows for semi and fully parametric models (parametric only for accelerated failure time models) and Bayesian parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data.
Author: Clifford Anderson-Bergman [aut, cre]
Maintainer: Clifford Anderson-Bergman <pistacliffcho@gmail.com>

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Package RNCEP updated to version 1.0.10 with previous version 1.0.9 dated 2020-03-10

Title: Obtain, Organize, and Visualize NCEP Weather Data
Description: Contains functions to retrieve, organize, and visualize weather data from the NCEP/NCAR Reanalysis (<http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html>) and NCEP/DOE Reanalysis II (<http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis2.html>) datasets. Data are queried via the Internet and may be obtained for a specified spatial and temporal extent or interpolated to a point in space and time. We also provide functions to visualize these weather data on a map. There are also functions to simulate flight trajectories according to specified behavior using either NCEP wind data or data specified by the user.
Author: Michael U. Kemp <mukemp+RNCEP@gmail.com> with contributions from E. Emiel van Loon, Judy Shamoun-Baranes, and Willem Bouten
Maintainer: Michael U. Kemp <mukemp+RNCEP@gmail.com>

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Package reticulate updated to version 1.16 with previous version 1.15 dated 2020-04-02

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package QCA updated to version 3.8 with previous version 3.7 dated 2020-03-11

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean algorithm that results in a minimal causal combination that explains a given phenomenon.
Author: Adrian Dusa [aut, cre, cph] (<https://orcid.org/0000-0002-3525-9253>), Ciprian Paduraru [ctb] (<https://orcid.org/0000-0002-4518-374X>), jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/gui/www/lib/jquery-AUTHORS.txt), lp_solve [cph] (http://lpsolve.sourceforge.net), Vasil Dinkov [ctb, cph] (jquery.smartmenus.js library), Dmitry Baranovskiy [ctb, cph] (raphael.js library), Emmanuel Quentin [ctb, cph] (raphael.inline_text_editing.js library), Jimmy Breck-McKye [ctb, cph] (raphael-paragraph.js library), Alrik Thiem [aut] (from version 1.0-0 up to version 1.1-3)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package ellipse updated to version 0.4.2 with previous version 0.4.1 dated 2018-01-05

Title: Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
Description: Contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996), A graphical display of large correlation matrices, The American Statistician 50, 178-180. There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications.
Author: Duncan Murdoch <murdoch@stats.uwo.ca> and E. D. Chow (porting to R by Jesus M. Frias Celayeta <iosu@bureau.ucc.ie>)
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package dbplyr updated to version 1.4.4 with previous version 1.4.3 dated 2020-04-19

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Edgar Ruiz [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package brms updated to version 2.13.0 with previous version 2.12.0 dated 2020-02-23

Title: Bayesian Regression Models using 'Stan'
Description: Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018) <doi:10.32614/RJ-2018-017>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Paul-Christian Bürkner [aut, cre]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

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 brms-2.13.0/brms/tests/testthat/tests.exclude_pars.R      |    2 
 brms-2.13.0/brms/tests/testthat/tests.log_lik.R           |  972 +--
 brms-2.13.0/brms/tests/testthat/tests.make_stancode.R     | 4120 +++++++------
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 brms-2.13.0/brms/vignettes/brms_customfamilies.Rmd        |   55 
 brms-2.13.0/brms/vignettes/brms_families.Rmd              |    6 
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 163 files changed, 28470 insertions(+), 27794 deletions(-)

More information about brms at CRAN
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Package airr updated to version 1.3.0 with previous version 1.2.0 dated 2018-08-17

Title: AIRR Data Representation Reference Library
Description: Schema definitions and read, write and validation tools for data formatted in accordance with the AIRR Data Representation schemas defined by the AIRR Community <http://docs.airr-community.org>.
Author: Jason Vander Heiden [aut, cre], Susanna Marquez [aut], Scott Christley [aut], AIRR Community [cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

Diff between airr versions 1.2.0 dated 2018-08-17 and 1.3.0 dated 2020-05-27

 DESCRIPTION                     |   17 
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 NEWS.md                         |    6 
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 build/vignette.rds              |binary
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 inst/doc/Usage-Vignette.pdf     |binary
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 man/ExampleData.Rd              |    4 
 man/Schema-class.Rd             |   10 
 man/write_airr.Rd               |    3 
 tests/data-tests/bad_data.tsv   |   22 
 tests/data-tests/toy_data.tsv   |   18 
 tests/testthat/test-Interface.R |   10 
 14 files changed, 2125 insertions(+), 272 deletions(-)

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Package Rilostat updated to version 1.1 with previous version 1.0.1 dated 2019-06-26

Title: ILO Open Data via Ilostat Bulk Download Facility or SDMX Web Service
Description: Tools to download data from the ilostat database <https://ilostat.ilo.org> together with search and manipulation utilities.
Author: ILO Department of Statistics [cph, fnd], David Bescond [aut, cre] (<https://orcid.org/0000-0002-1642-0304>), Mabelin Villarreal-Fuentes [ctb]
Maintainer: David Bescond <bescond@ilo.org>

Diff between Rilostat versions 1.0.1 dated 2019-06-26 and 1.1 dated 2020-05-27

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 Rilostat-1.1/Rilostat/LICENSE                    |    2 
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 Rilostat-1.1/Rilostat/build/vignette.rds         |binary
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 23 files changed, 179 insertions(+), 311 deletions(-)

More information about Rilostat at CRAN
Permanent link


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