Mon, 17 Jul 2017

Package sparr updated to version 2.1-10 with previous version 0.3-8 dated 2016-03-10

Title: Spatial and Spatiotemporal Relative Risk
Description: Provides functions to estimate kernel-smoothed spatial and spatio-temporal densities and relative risk functions, and perform subsequent inference.
Author: T.M. Davies and J.C. Marshall
Maintainer: Tilman M. Davies <tdavies@maths.otago.ac.nz>

Diff between sparr versions 0.3-8 dated 2016-03-10 and 2.1-10 dated 2017-07-17

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More information about sparr at CRAN
Permanent link

New package sergeant with initial version 0.5.2
Package: sergeant
Title: Tools to Transform and Query Data with 'Apache' 'Drill'
Version: 0.5.2
Authors@R: c(person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")), person("Edward", "Visel", email = "edward.visel@gmail.com", role = "ctb"))
Description: 'Apache Drill' is a low-latency distributed query engine designed to enable data exploration and 'analytics' on both relational and non-relational 'datastores', scaling to petabytes of data. Methods are provided that enable working with 'Apache' 'Drill' instances via the 'REST' 'API', 'JDBC' interface (optional), 'DBI' 'methods' and using 'dplyr'/'dbplyr' idioms.
Depends: R (>= 3.1.2), DBI (>= 0.7), dplyr (>= 0.7.0), dbplyr (>= 1.1.0)
URL: https://github.com/hrbrmstr/sergeant
BugReports: https://github.com/hrbrmstr/sergeant/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: httr (>= 1.2.1), jsonlite (>= 1.5.0), htmltools (>= 0.3.6), readr (>= 1.1.1), purrr (>= 0.2.2), scales (>= 0.4.1), utils, methods
Suggests: RJDBC (>= 0.2-5), rJava (>= 0.9-8), testthat (>= 1.0.2), covr (>= 3.0.0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-17 16:37:01 UTC; bob
Author: Bob Rudis [aut, cre], Edward Visel [ctb]
Maintainer: Bob Rudis <bob@rud.is>
Repository: CRAN
Date/Publication: 2017-07-17 22:36:26 UTC

More information about sergeant at CRAN
Permanent link

Package sequoia updated to version 0.9.2 with previous version 0.8.1 dated 2017-03-12

Title: Pedigree Inference from SNPs
Description: Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See citation('sequoia') for more information.
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>

Diff between sequoia versions 0.8.1 dated 2017-03-12 and 0.9.2 dated 2017-07-17

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More information about sequoia at CRAN
Permanent link

Package polmineR updated to version 0.7.4 with previous version 0.7.3 dated 2017-05-24

Title: Toolkit for Corpus Analysis
Description: Library for corpus analysis using the Corpus Workbench as an efficient back end for indexing and querying large corpora. The package offers functionality to flexibly create partitions and to carry out basic statistical operations (count, co-occurrences etc.). The original full text of documents can be reconstructed and inspected at any time. Beyond that, the package is intended to serve as an interface to packages implementing advanced statistical procedures. Respective data structures (document term matrices, term co- occurrence matrices etc.) can be created based on the indexed corpora.
Author: Andreas Blaette
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

Diff between polmineR versions 0.7.3 dated 2017-05-24 and 0.7.4 dated 2017-07-17

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More information about polmineR at CRAN
Permanent link

Package PearsonDS updated to version 1.1 with previous version 1.0 dated 2017-03-03

Title: Pearson Distribution System
Description: Implementation of the Pearson distribution system, including full support for the (d,p,q,r)-family of functions for probability distributions and fitting via method of moments and maximum likelihood method.
Author: Martin Becker [aut, cre], Stefan Kl÷▀ner [aut]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

Diff between PearsonDS versions 1.0 dated 2017-03-03 and 1.1 dated 2017-07-17

 DESCRIPTION  |    8 -
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Package oec updated to version 2.4 with previous version 2.2 dated 2016-11-18

Title: Observatory of Economic Complexity API Wrapper and Utility Program
Description: Access The Observatory of Economic Complexity API from R to download international trade data and create and D3Plus visualizations.
Author: Cesar A. Hidalgo [aut], Alexander Simoes [aut], Mauricio Vargas S. [aut, cre], Manuel Aristaran [ctb], Mike Bostock [ctb] (D3), Dave Landy [ctb] (D3Plus), Pablo H. Paladino [ctb] (Version control), Gabriela Perez P. [ctb] (Documentation), UN Comtrade [dtc], MIT Media Lab [dtc], Datawheel [fnd, cph]
Maintainer: Mauricio Vargas S. <oec@media.mit.edu>

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New package multiApply with initial version 0.0.1
Package: multiApply
Title: Apply Functions to Multiple Multidimensional Arguments
Version: 0.0.1
Authors@R: c( person("BSC-CNS", role = c("aut", "cph")), person("Alasdair", "Hunter", , "alasdair.hunter@bsc.es", role = c("aut", "cre")), person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = "aut"))
Description: The base apply function and its variants, as well as the related functions in the 'plyr' package, typically apply user-defined functions to a single argument (or a list of vectorized arguments in the case of mapply). The 'multiApply' package extends this paradigm to functions taking a list of multiple unidimensional or multidimensional arguments (or combinations thereof) as input, which can have different numbers of dimensions as well as different dimension lengths.
Depends: R (>= 3.2.0)
Imports: abind, plyr, doParallel, future, foreach
License: LGPL-3
URL: https://earth.bsc.es/gitlab/ces/multiApply
BugReports: https://earth.bsc.es/gitlab/ces/multiApply/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2017-07-17 14:16:05 UTC; ahunter
Author: BSC-CNS [aut, cph], Alasdair Hunter [aut, cre], Nicolau Manubens [aut]
Maintainer: Alasdair Hunter <alasdair.hunter@bsc.es>
Repository: CRAN
Date/Publication: 2017-07-17 22:41:10 UTC

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Package mixsmsn updated to version 1.1-4 with previous version 1.1-2 dated 2016-08-23

Title: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
Description: Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions.
Author: Marcos Prates [aut, cre, trl], Victor Lachos [aut], Celso Cabral [aut]
Maintainer: Marcos Prates <marcosop@est.ufmg.br>

Diff between mixsmsn versions 1.1-2 dated 2016-08-23 and 1.1-4 dated 2017-07-17

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Package coin updated to version 1.2-1 with previous version 1.2-0 dated 2017-06-22

Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Mark A. van de Wiel [aut], Henric Winell [aut], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between coin versions 1.2-0 dated 2017-06-22 and 1.2-1 dated 2017-07-17

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Package womblR updated to version 1.0.1 with previous version 1.0.0 dated 2017-06-17

Title: Spatiotemporal Boundary Detection Model for Areal Unit Data
Description: Implements a spatiotemporal boundary detection model with a dissimilarity metric for areal data with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget), probit or Tobit link and spatial correlation is introduced at each time point through a conditional autoregressive (CAR) prior. Temporal correlation is introduced through a hierarchical structure and can be specified as exponential or first-order autoregressive. Full details of the package can be found in the accompanying vignette.
Author: Samuel I. Berchuck [aut, cre]
Maintainer: Samuel I. Berchuck <berchuck@ad.unc.edu>

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Package timeSeq updated to version 1.0.3 with previous version 1.0.2 dated 2016-10-27

Title: Detecting Differentially Expressed Genes in Time Course RNA-Seq Data
Description: Uses a negative binomial mixed-effects (NBME) model to detect nonparallel differential expression(NPDE) genes and parallel differential expression(PDE) genes in the time course RNA-seq data.
Author: Fan Gao, Xiaoxiao Sun
Maintainer: Fan Gao <fangaohz@gmail.com>

Diff between timeSeq versions 1.0.2 dated 2016-10-27 and 1.0.3 dated 2017-07-17

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Package Hotelling updated to version 1.0-4 with previous version 1.0-3 dated 2017-04-21

Title: Hotelling's T^2 Test and Variants
Description: A set of R functions which implements Hotelling's T^2 test and some variants of it. Functions are also included for Aitchison's additive log ratio and centred log ratio transformations.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between Hotelling versions 1.0-3 dated 2017-04-21 and 1.0-4 dated 2017-07-17

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Package fragilityindex updated to version 0.1.0 with previous version 0.0.8 dated 2016-11-08

Title: Fragility Index
Description: Implements and extends the fragility index calculation for dichotomous results as described in Walsh, Srinathan, McAuley, Mrkobrada, Levine, Ribic, Molnar, Dattani, Burke, Guyatt, Thabane, Walter, Pogue, and Devereaux (2014) <DOI:10.1016/j.jclinepi.2013.10.019>.
Author: Kipp Johnson [aut, cre]
Maintainer: Kipp Johnson <kipp.william.johnson@gmail.com>

Diff between fragilityindex versions 0.0.8 dated 2016-11-08 and 0.1.0 dated 2017-07-17

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Package arfima updated to version 1.5-2 with previous version 1.5-0 dated 2017-07-08

Title: Fractional ARIMA (and Other Long Memory) Time Series Modeling
Description: Simulates, fits, and predicts long-memory and anti-persistent time series, possibly mixed with ARMA, regression, transfer-function components. Exact methods (MLE, forecasting, simulation) are used.
Author: JQ (Justin) Veenstra [aut, cre], A.I. McLeod [aut]
Maintainer: JQ (Justin) Veenstra <jqveenstra@gmail.com>

Diff between arfima versions 1.5-0 dated 2017-07-08 and 1.5-2 dated 2017-07-17

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New package LCox with initial version 0.1.0
Package: LCox
Type: Package
Title: A Tool for Selecting Genes Related to Survival Outcomes using Longitudinal Gene Expression Data
Version: 0.1.0
Author: Jiehuan Sun [aut, cre], Jose D. Herazo-Maya [aut], Jane-Ling Wang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Maintainer: Jiehuan Sun <jiehuan.sun@yale.edu>
Description: Longitudinal genomics data and survival outcome are common in biomedical studies. It is of great interest to select genes related to the survival outcome. LCox is a computationally efficient tool for selecting genes related to the survival outcome using the longitudinal genomics data. LCox is powerful to detect different forms of dependence between the longitudinal biomarkers and the survival outcome.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.4.0), fdapace (>= 0.3.0), survival (>= 2.41-3)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-17 16:07:52 UTC; JiehuanSun
Repository: CRAN
Date/Publication: 2017-07-17 17:10:39 UTC

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New package dataCompareR with initial version 0.1.0
Package: dataCompareR
Title: Compare Two Data Frames and Summarise the Difference
Version: 0.1.0
Authors@R: c(person("Rob", "Noble-Eddy", email = "opensource@capitalone.com", role = c("aut", "cre")), person("Sarah", "Johnston", role = c("aut")), person("Sarah", "Pollicott", role = c("aut")), person("Merlijn", "van Horssen", role = c("aut")), person("Lukas", "Drapal", role = c("ctb")), person("Nikolaos", "Perrakis", role = c("ctb")), person("Nikhil", "Thomas Joy", role = c("ctb")), person("Shahriar", "Asta", role = c("ctb")), person("Karandeep", "Lidher", role = c("ctb")), person("Dan", "Kellett", role = c("ctb")), person("Kevin", "Chisholm", role = c("ctb")), person("Laura", "Joy", role = c("ctb")), person("Fergus", "Wadsley", role = c("ctb")), person("Heather", "Hackett", role = c("ctb")), person("David", "Robinson", role = c("ctb")), person("Cheryl", "Renton", role = c("ctb")), person("Matt", "Triggs", role = c("ctb")), person("Krishan", "Bhasin", role = c("ctb")), person("Carola", "Deppe", role = c("ctb")) )
Description: Easy comparison of two tabular data objects in R. Specifically designed to show differences between two sets of data in a useful way that should make it easier to understand the differences, and if necessary, help you work out how to remedy them. Aims to offer a more useful output than all.equal() when your two data sets do not match, but isn't intended to replace all.equal() as a way to test for equality.
Depends: R (>= 3.2.3)
Imports: dplyr, knitr, stringi, markdown
License: Apache License 2.0 | file LICENSE
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, data.table, tibble, bit64, rmarkdown, titanic
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-17 10:47:12 UTC; ODY153
Author: Rob Noble-Eddy [aut, cre], Sarah Johnston [aut], Sarah Pollicott [aut], Merlijn van Horssen [aut], Lukas Drapal [ctb], Nikolaos Perrakis [ctb], Nikhil Thomas Joy [ctb], Shahriar Asta [ctb], Karandeep Lidher [ctb], Dan Kellett [ctb], Kevin Chisholm [ctb], Laura Joy [ctb], Fergus Wadsley [ctb], Heather Hackett [ctb], David Robinson [ctb], Cheryl Renton [ctb], Matt Triggs [ctb], Krishan Bhasin [ctb], Carola Deppe [ctb]
Maintainer: Rob Noble-Eddy <opensource@capitalone.com>
Repository: CRAN
Date/Publication: 2017-07-17 17:16:22 UTC

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New package Census2016 with initial version 0.2.0
Package: Census2016
Type: Package
Title: Data from the Australian Census 2016
Version: 0.2.0
Date: 2017-07-16
Authors@R: c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"), person("Nick", "Evershed", role = "dtc"), person(family = "Australian Bureau of Statistics", role = "cph"))
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
Description: Contains selected variables from the time series profiles for statistical areas level 2 from the 2006, 2011, and 2016 censuses of population and housing, Australia. Also provides methods for viewing the questions asked for convenience during analysis.
Depends: R (>= 2.10)
Imports: data.table
LazyData: true
License: CC BY 4.0
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, ggplot2, ggrepel, magrittr, scales, testthat, png,
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-17 12:20:09 UTC; hughp
Author: Hugh Parsonage [aut, cre], Nick Evershed [dtc], Australian Bureau of Statistics [cph]
Repository: CRAN
Date/Publication: 2017-07-17 17:47:09 UTC

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Package brlrmr updated to version 0.1.5 with previous version 0.1.4 dated 2017-07-10

Title: Bias Reduction with Missing Binary Response
Description: Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.
Author: Arnab Maity [aut, cre], Vivek Pradhan [ctb], Ujjwal Das [ctb]
Maintainer: Arnab Maity <akumar@stat.tamu.edu>

Diff between brlrmr versions 0.1.4 dated 2017-07-10 and 0.1.5 dated 2017-07-17

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 3 files changed, 7 insertions(+), 7 deletions(-)

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New package ercv with initial version 1.0.0
Package: ercv
Type: Package
Title: Fitting Tails by the Empirical Residual Coefficient of Variation
Version: 1.0.0
Date: 2017-07-17
Encoding: UTF-8
Author: Joan del Castillo, David Mori├▒a Soler and Isabel Serra
Maintainer: Isabel Serra <iserra@crm.cat>
Description: Provides a methodology simple and trustworthy for the analysis of extreme values and multiple threshold tests for a generalized Pareto distribution, together with an automatic threshold selection algorithm. See del Castillo, J, Daoudi, J and Lockhart, R (2014) <doi:10.1111/sjos.12037>.
Depends: R (>= 2.15.0)
Suggests: poweRlaw, evir
Repository: CRAN
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-07-17 13:06:44 UTC; 47642555X
Date/Publication: 2017-07-17 15:08:01 UTC

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Package antaresViz updated to version 0.11 with previous version 0.10 dated 2017-06-20

Title: Antares Visualizations
Description: Visualize results generated by Antares, a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here: <https://antares.rte-france.com>). This package provides functions that create interactive charts to help Antares users visually explore the results of their simulations.
Author: Francois Guillem [aut, cre], Jalal-Edine ZAWAM [ctb], RTE [cph]
Maintainer: Francois Guillem <francois.guillem@rte-france.com>

Diff between antaresViz versions 0.10 dated 2017-06-20 and 0.11 dated 2017-07-17

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Package memisc updated to version 0.99.13 with previous version 0.99.8 dated 2016-12-19

Title: Tools for Management of Survey Data and the Presentation of Analysis Results
Description: One of the aims of this package is to make life easier for R users who deal with survey data sets. It provides an infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

Diff between memisc versions 0.99.8 dated 2016-12-19 and 0.99.13 dated 2017-07-17

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Package gWidgetsRGtk2 updated to version 0.0-84 with previous version 0.0-83 dated 2014-11-26

Title: Toolkit Implementation of gWidgets for RGtk2
Description: Port of the gWidgets API to the RGtk2 toolkit.
Author: Michael Lawrence, John Verzani
Maintainer: John Verzani <jverzani@gmail.com>

Diff between gWidgetsRGtk2 versions 0.0-83 dated 2014-11-26 and 0.0-84 dated 2017-07-17

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Package corr2D updated to version 0.2.0 with previous version 0.1.12 dated 2016-11-28

Title: Implementation of 2D Correlation Analysis in R
Description: Implementation of two-dimensional (2D) correlation analysis based on the Fourier-transformation approach described by Isao Noda (I. Noda (1993) <DOI:10.1366/0003702934067694>). Additionally there are two plot functions for the resulting correlation matrix: The first one creates colored 2D plots, while the second one generates 3D plots.
Author: Robert Geitner [cre, aut], Robby Fritzsch [aut], Thomas Bocklitz [aut], Juergen Popp [ctb, cph]
Maintainer: Robert Geitner <robert.geitner@uni-jena.de>

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New package constants with initial version 0.0.1
Package: constants
Type: Package
Title: Reference on Constants, Units and Uncertainty
Version: 0.0.1
Authors@R: c( person("I├▒aki", "Ucar", email="i.ucar86@gmail.com", role=c("aut", "cph", "cre")))
Description: CODATA internationally recommended values of the fundamental physical constants, provided as symbols for direct use within the R language. Optionally, the values with errors and/or the values with units are also provided if the 'errors' and/or the 'units' packages are installed. The Committee on Data for Science and Technology (CODATA) is an interdisciplinary committee of the International Council for Science which periodically provides the internationally accepted set of values of the fundamental physical constants. This package contains the "2014 CODATA" version, published on 25 June 2015: Mohr, P. J., Newell, D. B. and Taylor, B. N. (2016) <DOI:10.1103/RevModPhys.88.035009>, <DOI:10.1063/1.4954402>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/Enchufa2/constants
BugReports: https://github.com/Enchufa2/constants/issues
Depends: R (>= 3.0.0)
Suggests: errors, units, testthat
ByteCompile: yes
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-17 10:43:37 UTC; inaki
Author: I├▒aki Ucar [aut, cph, cre]
Maintainer: I├▒aki Ucar <i.ucar86@gmail.com>
Repository: CRAN
Date/Publication: 2017-07-17 10:53:00 UTC

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Package spc4sts updated to version 0.2.1 with previous version 0.1.1 dated 2017-07-08

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the first tool that monitors and diagnoses for local defects on the stochastic textured surfaces, which was proposed by Bui and Apley (2017) <doi:10.1080/00401706.2017.1302362>.
Author: Anh Bui [aut, cre] and Daniel Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

Diff between spc4sts versions 0.1.1 dated 2017-07-08 and 0.2.1 dated 2017-07-17

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Package roadoi updated to version 0.3 with previous version 0.2 dated 2017-05-17

Title: Find Free Versions of Scholarly Publications via the oaDOI Service
Description: This web client interfaces oaDOI <https://oadoi.org>, a service finding free full-texts of academic papers by linking DOIs with open access journals and repositories. It provides unified access to various data sources for open access full-text links including Crossref, Bielefeld Academic Search Engine (BASE) and the Directory of Open Access Journals (DOAJ). API usage is free and no registration is required.
Author: Najko Jahn [aut, cre], Tuija Sonkkila [ctb] (Tuija Sonkkila reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/115), Ross Mounce [ctb] (Ross Mounce reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/115)
Maintainer: Najko Jahn <najko.jahn@gmail.com>

Diff between roadoi versions 0.2 dated 2017-05-17 and 0.3 dated 2017-07-17

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Package prioritylasso updated to version 0.2.0 with previous version 0.1.0 dated 2017-03-16

Title: Analyzing Multiple Omics Data with an Offset Approach
Description: Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block.
Author: Simon Klau, Anne-Laure Boulesteix
Maintainer: Simon Klau <simonklau@ibe.med.uni-muenchen.de>

Diff between prioritylasso versions 0.1.0 dated 2017-03-16 and 0.2.0 dated 2017-07-17

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New package OHPL with initial version 1.2
Package: OHPL
Type: Package
Title: Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Version: 1.2
Authors@R: c( person("You-Wu", "Lin", email = "lyw015813@126.com", role = c("aut")), person("Nan", "Xiao", email = "me@nanx.me", role = "cre"))
Maintainer: Nan Xiao <me@nanx.me>
Description: Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) <DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method takes the homogeneity structure in high-dimensional data into account and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.
License: GPL-3 | file LICENSE
URL: https://ohpl.io, https://github.com/road2stat/OHPL
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/road2stat/OHPL/issues
Depends: R (>= 3.0.2)
Imports: glmnet, pls, mvtnorm
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-07-16 22:57:45 UTC; nanx
Author: You-Wu Lin [aut], Nan Xiao [cre]
Repository: CRAN
Date/Publication: 2017-07-17 09:44:53 UTC

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Package mclogit updated to version 0.5.1 with previous version 0.4.4 dated 2016-12-25

Title: Mixed Conditional Logit Models
Description: Specification and estimation of conditional logit models of binary responses and multinomial counts is provided, with or without alternative- specific random effects. The current implementation of the estimator for random effects variances uses a Laplace approximation (or PQL) approach and thus should be used only if groups sizes are large.
Author: Martin Elff
Maintainer: Martin Elff <mclogit@elff.eu>

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Package ggtern updated to version 2.2.1 with previous version 2.2.0 dated 2016-11-23

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>

Diff between ggtern versions 2.2.0 dated 2016-11-23 and 2.2.1 dated 2017-07-17

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Package CompareCausalNetworks updated to version 0.1.8 with previous version 0.1.5 dated 2016-12-01

Title: Interface to Diverse Estimation Methods of Causal Networks
Description: Unified interface for the estimation of causal networks, including the methods 'backShift' (from package 'backShift'), 'bivariateANM' (bivariate additive noise model), 'bivariateCAM' (bivariate causal additive model), 'CAM' (causal additive model) (from package 'CAM'), 'hiddenICP' (invariant causal prediction with hidden variables), 'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'), 'GES' (greedy equivalence search), 'GIES' (greedy interventional equivalence search), 'LINGAM', 'PC' (PC Algorithm), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Maintainer: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>

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New package cnbdistr with initial version 1.0.1
Package: cnbdistr
Type: Package
Title: Conditional Negative Binomial Distribution
Version: 1.0.1
Date: 2017-07-04
Author: Xiaotian Zhu
Maintainer: Xiaotian Zhu <xiaotian.zhu.psualum@gmail.com>
Description: Provided R functions for working with the Conditional Negative Binomial distribution.
License: GPL-3
Depends: R (>= 3.2.2)
Imports: hypergeo (>= 1.2-13), stats (>= 3.3.2)
Suggests: rmutil (>= 1.1.0), testthat (>= 1.0.2), knitr (>= 1.16), rmarkdown (>= 1.6)
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Packaged: 2017-07-17 02:43:49 UTC; SAINT
Repository: CRAN
Date/Publication: 2017-07-17 09:50:23 UTC

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New package APML0 with initial version 0.2
Package: APML0
Type: Package
Title: Augmented and Penalized Minimization Method L0
Version: 0.2
Author: Xiang Li, Shanghong Xie, Donglin Zeng and Yuanjia Wang
Maintainer: Xiang Li <xli256@its.jnj.com>
Description: Fit linear and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves L0 penalty problem by simultaneously selecting regularization parameters and the number of non-zero coefficients. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization problem. The package uses one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It could deal with very high dimensional data and has superior selection performance.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.11)
LinkingTo: Rcpp, RcppEigen
Depends: Matrix (>= 1.2-10)
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-07-17 01:50:33 UTC; spiri
Repository: CRAN
Date/Publication: 2017-07-17 09:47:52 UTC

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Package lifecontingencies updated to version 1.2.5 with previous version 1.2.3 dated 2017-02-20

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein.
Author: Giorgio Alfredo Spedicato [cre,aut], Reinhold Kainhofer [ctb], Kevin J. Owens [ctb], Christophe Dutang [ctb], Ernesto Schirmacher[ctb], Gian Paolo Clemente [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between lifecontingencies versions 1.2.3 dated 2017-02-20 and 1.2.5 dated 2017-07-17

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 lifecontingencies-1.2.5/lifecontingencies/ChangeLog                                                  |    5 
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 lifecontingencies-1.2.5/lifecontingencies/MD5                                                        |   45 ++-
 lifecontingencies-1.2.5/lifecontingencies/NAMESPACE                                                  |    2 
 lifecontingencies-1.2.5/lifecontingencies/NEWS                                                       |    8 
 lifecontingencies-1.2.5/lifecontingencies/R/0_lifetableAndActuarialtableClassesAndMethods.R          |    5 
 lifecontingencies-1.2.5/lifecontingencies/R/8_mdtFunctions.R                                         |   25 +-
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 lifecontingencies-1.2.5/lifecontingencies/R/zzz.R                                                    |    7 
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Package flexsurvcure updated to version 0.0.2 with previous version 0.0.1 dated 2017-05-14

Title: Flexible Parametric Cure Models
Description: Flexible parametric mixture and non-mixture cure models for time-to-event data.
Author: Jordan Amdahl [aut, cre]
Maintainer: Jordan Amdahl <jrdnmdhl@gmail.com>

Diff between flexsurvcure versions 0.0.1 dated 2017-05-14 and 0.0.2 dated 2017-07-17

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 R/nonmixture.R             |    7 +++----
 inst/doc/flexsurvcure.html |   22 +++++++++++-----------
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