Sun, 19 Nov 2017

Package spatstat.data updated to version 1.2-0 with previous version 1.1-1 dated 2017-10-11

Title: Datasets for 'spatstat'
Description: Contains all the datasets for the 'spatstat' package.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.data versions 1.1-1 dated 2017-10-11 and 1.2-0 dated 2017-11-19

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Package RcppEigen updated to version 0.3.3.3.1 with previous version 0.3.3.3.0 dated 2017-05-01

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.3.3). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppEigen versions 0.3.3.3.0 dated 2017-05-01 and 0.3.3.3.1 dated 2017-11-19

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Package humarray updated to version 1.2 with previous version 1.1 dated 2017-01-09

Title: Simplify Analysis and Annotation of Human Microarray Datasets
Description: Utilises GRanges, data.frame or IRanges objects. Integrates gene annotation for ImmunoChip (or your custom chip) with function calls. Intuitive wrappers for annotation lookup (gene lists, exon ranges, etc) and conversion (e.g, between build 36 and 37 coordinates). Conversion between ensembl and HGNC gene ids, chip ids to rs-ids for SNP-arrays. Retrieval of chromosome and position for gene, band or SNP-ids, or reverse lookup. Simulation functions for ranges objects.
Author: Nicholas Cooper
Maintainer: Nicholas Cooper <njcooper@gmx.co.uk>

Diff between humarray versions 1.1 dated 2017-01-09 and 1.2 dated 2017-11-19

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Package carx updated to version 0.7.1 with previous version 0.6.2 dated 2016-03-08

Title: Censored Autoregressive Model with Exogenous Covariates
Description: A censored time series class is designed. An estimation procedure is implemented to estimate the Censored AutoRegressive time series with eXogenous covariates (CARX), assuming normality of the innovations. Some other functions that might be useful are also included.
Author: Chao Wang [aut, cre], Kung-Sik Chan [aut]
Maintainer: Chao Wang <chao-wang@uiowa.edu>

Diff between carx versions 0.6.2 dated 2016-03-08 and 0.7.1 dated 2017-11-19

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Package FlowScreen updated to version 1.2.4 with previous version 1.2.3 dated 2017-07-08

Title: Daily Streamflow Trend and Change Point Screening
Description: Screens daily streamflow time series for temporal trends and change-points. This package has been primarily developed for assessing the quality of daily streamflow time series. It also contains tools for plotting and calculating many different streamflow metrics. The package can be used to produce summary screening plots showing change-points and significant temporal trends for high flow, low flow, and/or baseflow statistics, or it can be used to perform more detailed hydrological time series analyses. The package was designed for screening daily streamflow time series from Water Survey Canada and the United States Geological Survey but will also work with streamflow time series from many other agencies.
Author: Jennifer Dierauer [aut, cre], Paul Whitfield [aut]
Maintainer: Jennifer Dierauer <jen.r.brand@gmail.com>

Diff between FlowScreen versions 1.2.3 dated 2017-07-08 and 1.2.4 dated 2017-11-19

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Package tuber updated to version 0.9.2 with previous version 0.9.1 dated 2017-09-19

Title: Client for the YouTube API
Description: Get comments posted on YouTube videos, information on how many times a video has been liked, search for videos with particular content, and much more. You can also scrape captions from a few videos. To learn more about the YouTube API, see <https://developers.google.com/youtube/v3/>.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between tuber versions 0.9.1 dated 2017-09-19 and 0.9.2 dated 2017-11-19

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Package rbcb updated to version 0.1.2 with previous version 0.1.1 dated 2017-05-24

Title: R Interface to Brazilian Central Bank Web Services
Description: The Brazilian Central Bank API delivers many datasets which regard economic activity, regional economy, international economy, public finances, credit indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>. These datasets can be accessed through 'rbcb' functions and can be obtained in different data structures common to R ('tibble', 'data.frame', 'xts', ...).
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between rbcb versions 0.1.1 dated 2017-05-24 and 0.1.2 dated 2017-11-19

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Package sspse updated to version 0.5-4 with previous version 0.5-3 dated 2017-11-10

Title: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description: Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923> and Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>.
Author: Mark S. Handcock [aut, cre, cph], Krista J. Gile [aut, cph]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between sspse versions 0.5-3 dated 2017-11-10 and 0.5-4 dated 2017-11-19

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Package reglogit updated to version 1.2-5 with previous version 1.2-4 dated 2015-06-22

Title: Simulation-Based Regularized Logistic Regression
Description: Regularized (polychotomous) logistic regression by Gibbs sampling. The package implements subtly different MCMC schemes with varying efficiency depending on the data type (binary v. binomial, say) and the desired estimator (regularized maximum likelihood, or Bayesian maximum a posteriori/posterior mean, etc.) through a unified interface.
Author: Robert B. Gramacy <rbg@vt.edu>
Maintainer: Robert B. Gramacy <rbg@vt.edu>

Diff between reglogit versions 1.2-4 dated 2015-06-22 and 1.2-5 dated 2017-11-19

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Package EditImputeCont updated to version 1.1.0 with previous version 1.0.2 dated 2016-10-31

Title: Simultaneous Edit-Imputation for Continuous Microdata
Description: An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach as described in Kim et al. (2015) <DOI:10.1080/01621459.2015.1040881>. In this approach, the joint distribution of the data is estimated by a flexible joint probability model. The generated edit-imputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.
Author: Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr
Maintainer: Quanli Wang <quanliwang20@hotmail.com>

Diff between EditImputeCont versions 1.0.2 dated 2016-10-31 and 1.1.0 dated 2017-11-19

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Package wicket updated to version 0.4.0 with previous version 0.3.0 dated 2017-03-23

Title: Utilities to Handle WKT Spatial Data
Description: Utilities to generate bounding boxes from 'WKT' (Well-Known Text) objects and R data types, validate 'WKT' objects and convert object types from the 'sp' package into 'WKT' representations.
Author: Oliver Keyes [aut, cre]
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between wicket versions 0.3.0 dated 2017-03-23 and 0.4.0 dated 2017-11-19

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Package RLT updated to version 3.2.1 with previous version 3.2.0 dated 2017-11-17

Title: Reinforcement Learning Trees
Description: Random forest with a variety of additional features for regression, classification and survival analysis. The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable (based on Zhu, Zeng & Kosorok, 2015), subject weight, variable weight, tracking subjects used in each tree, etc.
Author: Ruoqing Zhu <teazrq@gmail.com>
Maintainer: Ruoqing Zhu <teazrq@gmail.com>

Diff between RLT versions 3.2.0 dated 2017-11-17 and 3.2.1 dated 2017-11-19

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Package RcppClassic updated to version 0.9.9 with previous version 0.9.8 dated 2017-09-22

Title: Deprecated 'classic' 'Rcpp' 'API'
Description: The 'RcppClassic' package provides a deprecated C++ library which facilitates the integration of R and C++. New projects should use the new 'Rcpp' 'API' in the 'Rcpp' package.
Author: Dirk Eddelbuettel and Romain Francois, with contributions by David Reiss, and based on code written during 2005 and 2006 by Dominick Samperi
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppClassic versions 0.9.8 dated 2017-09-22 and 0.9.9 dated 2017-11-19

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Package InSilicoVA updated to version 1.1.5 with previous version 1.1.4 dated 2017-01-25

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InSilicoVA versions 1.1.4 dated 2017-01-25 and 1.1.5 dated 2017-11-19

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Package car updated to version 2.1-6 with previous version 2.1-5 dated 2017-07-04

Title: Companion to Applied Regression
Description: Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Second Edition, Sage, 2011.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [ctb], Richard Heiberger [ctb], Rafael Laboissiere [ctb], Georges Monette [ctb], Duncan Murdoch [ctb], Henric Nilsson [ctb], Derek Ogle [ctb], Brian Ripley [ctb], William Venables [ctb], David Winsemius [ctb], Achim Zeileis [ctb], R-Core [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package AWR.Athena updated to version 1.1.0-1 with previous version 1.1.0 dated 2017-06-16

Title: 'AWS' Athena 'DBI' Wrapper
Description: 'RJDBC' based 'DBI' driver to Amazon Athena, which is an interactive query service to analyze data in Amazon 'S3' using standard 'SQL'.
Author: Neal Fultz <nfultz@gmail.com>, Gergely Daróczi <gergely@system1.com>
Maintainer: Neal Fultz <nfultz@gmail.com>

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Package FinePop updated to version 1.4.1 with previous version 1.4.0 dated 2017-06-16

Title: Fine-Scale Population Analysis
Description: Statistical tool set for population genetics. The package provides following functions: 1) empirical Bayes estimator of Fst and other measures of genetic differentiation, 2) regression analysis of environmental effects on genetic differentiation using bootstrap method, 3) interfaces to read and manipulate 'GENEPOP' format data files and allele/haplotype frequency format files.
Author: Reiichiro Nakamichi, Hirohisa Kishino, Shuichi Kitada
Maintainer: Reiichiro Nakamichi <nakamichi@affrc.go.jp>

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Package qicharts2 updated to version 0.2.0 with previous version 0.1.1 dated 2017-08-28

Title: Quality Improvement Charts
Description: Functions for making run charts, Shewhart control charts and Pareto charts for continuous quality improvement. Included control charts are: I, MR, Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form of minor to moderate persistent shifts in data over time is identified by the Anhoej rules for unusually long runs and unusually few crossing [Anhoej, Olesen (2014) <doi:10.1371/journal.pone.0113825>]. Non-random variation in the form of larger, possibly transient, shifts is identified by Shewhart's 3-sigma rule [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>].
Author: Jacob Anhoej [aut, cre]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

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Package generalhoslem updated to version 1.3.1 with previous version 1.3.0 dated 2017-10-28

Title: Goodness of Fit Tests for Logistic Regression Models
Description: Functions to assess the goodness of fit of binary, multinomial and ordinal logistic models. Included are the Hosmer-Lemeshow tests (binary, multinomial and ordinal) and the Lipsitz and Pulkstenis-Robinson tests (ordinal).
Author: Matthew Jay [aut, cre]
Maintainer: Matthew Jay <matthew.jay.15@ucl.ac.uk>

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Package robustlmm updated to version 2.1-4 with previous version 2.1-3 dated 2017-04-09

Title: Robust Linear Mixed Effects Models
Description: A method to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel@gmail.com>

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Package EMCC (with last version 1.3) was removed from CRAN

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

2017-05-04 1.3

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Package uwIntroStats updated to version 0.0.4 with previous version 0.0.3 dated 2016-09-22

Title: Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course
Description: A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.
Author: Scott S. Emerson [aut], Andrew J. Spieker [aut], Brian D. Williamson [aut], Travis Y. Hee Wai [aut, cre], Solomon Lim [aut], R Core Team [ctb], Terry M Therneu [ctb], Thomas Lumley [ctb]
Maintainer: Travis Y. Hee Wai <theewai@uw.edu>

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