Sun, 21 May 2017

Package rngWELL updated to version 0.10-5 with previous version 0.10-4 dated 2015-07-27

Title: Toolbox for WELL Random Number Generators
Description: It is a dedicated package to WELL pseudo random generators, which were introduced in Panneton et al. (2006), ``Improved Long-Period Generators Based on Linear Recurrences Modulo 2'', ACM Transactions on Mathematical Software. But this package is not intended to be used directly, you are strongly __encouraged__ to use the 'randtoolbox' package, which depends on this package.
Author: C code by F. Panneton, P. L'Ecuyer and M. Matsumoto and R port by Christophe Dutang and Petr Savicky <savicky@cs.cas.cz>.
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

Diff between rngWELL versions 0.10-4 dated 2015-07-27 and 0.10-5 dated 2017-05-21

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New package Rd2md with initial version 0.0.1
Package: Rd2md
Title: Markdown Reference Manuals
Version: 0.0.1
Authors@R: person("Julian", "Busch", email = "jb@quants.ch", role = c("aut", "cre"))
Description: The native R functionalities only allow PDF exports of reference manuals. This shall be extended by converting the package documentation files into markdown files and combining them into a markdown version of the package reference manual.
Depends: R (>= 3.2.3)
Imports: knitr, tools
Suggests: testthat, rmarkdown, devtools
License: GPL
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-21 17:59:21 UTC; jbusch
Author: Julian Busch [aut, cre]
Maintainer: Julian Busch <jb@quants.ch>
Repository: CRAN
Date/Publication: 2017-05-21 23:19:06 UTC

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Package preseqR updated to version 3.1.0 with previous version 3.0.1 dated 2017-04-19

Title: Predicting the Number of Species in a Random Sample
Description: The relation between the number of species and the number of individuals in a random sample is a classic problem back to Fisher (1943) <doi:10.2307/1411>. We generalize this problem to estimate the number of species represented at least r times in a random sample. In particular when r=1, it becomes the classic problem. We use a mixture of Poisson processes to model sampling procedures and apply a nonparametric empirical Bayes approach to obtain an estimator. For more information on preseqR, see Deng C, Daley T and Smith AD (2015) <doi:10.1007/s40484-015-0049-7> and Deng C and Smith AD (2016) <arXiv:1607.02804v2>.
Author: Chao Deng, Timothy Daley and Andrew D. Smith
Maintainer: Chao Deng <chaodeng@usc.edu>

Diff between preseqR versions 3.0.1 dated 2017-04-19 and 3.1.0 dated 2017-05-21

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Package LEGIT updated to version 1.1.1 with previous version 1.1.0 dated 2017-05-11

Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score) using the alternating optimization algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Although this approach was originally made for GxE modelling, it is flexible and does not require the use of genetic and environmental variables. It can also handle more than 2 latent variables (rather than just G and E) and 3-way interactions or more. The LEGIT model produces highly interpretable results and is very parameter-efficient thus it can even be used with small sample sizes (n < 250).
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>

Diff between LEGIT versions 1.1.0 dated 2017-05-11 and 1.1.1 dated 2017-05-21

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Package DynTxRegime updated to version 3.01 with previous version 3.0 dated 2017-05-15

Title: Methods for Estimating Optimal Dynamic Treatment Regimes
Description: Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators.
Author: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

Diff between DynTxRegime versions 3.0 dated 2017-05-15 and 3.01 dated 2017-05-21

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Package distances updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-05

Title: Tools for Distance Metrics
Description: Provides tools for constructing, manipulating and using distance metrics.
Author: Fredrik Savje [aut, cre]
Maintainer: Fredrik Savje <fredrik.savje@berkeley.edu>

Diff between distances versions 0.1.0 dated 2017-03-05 and 0.1.1 dated 2017-05-21

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Package GGIR updated to version 1.5-9 with previous version 1.5-7 dated 2017-05-09

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors. The package has been developed and tested for binary data from GENEActiv and GENEA devices, .csv-export data from Actigraph devices, and .cwa and .wav-format data from Axivity. These devices are currently widely used in research on human daily physical activity.
Author: Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb]
Maintainer: Vincent T van Hees <vincentvanhees@gmail.com>

Diff between GGIR versions 1.5-7 dated 2017-05-09 and 1.5-9 dated 2017-05-21

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Package bib2df updated to version 0.2 with previous version 0.1.1 dated 2016-08-08

Title: Parse a BibTeX File to a Data.frame
Description: Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.
Author: Philipp Ottolinger [aut, cre], Thomas Leeper [ctb]
Maintainer: Philipp Ottolinger <philipp@ottolinger.de>

Diff between bib2df versions 0.1.1 dated 2016-08-08 and 0.2 dated 2017-05-21

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Package opencpu updated to version 2.0.1 with previous version 2.0 dated 2017-05-14

Title: Producing and Reproducing Results
Description: A system for embedded scientific computing and reproducible research with R. The OpenCPU server exposes a simple but powerful HTTP api for RPC and data interchange with R. This provides a reliable and scalable foundation for statistical services or building R web applications. The OpenCPU server runs either as a single-user development server within the interactive R session, or as a multi-user Linux stack based on Apache2. The entire system is fully open source and permissively licensed. The OpenCPU website has detailed documentation and example apps.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between opencpu versions 2.0 dated 2017-05-14 and 2.0.1 dated 2017-05-21

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Package clisymbols updated to version 1.2.0 with previous version 1.1.0 dated 2017-01-27

Title: Unicode Symbols at the R Prompt
Description: A small subset of Unicode symbols, that are useful when building command line applications. They fall back to alternatives on terminals that do not support Unicode. Many symbols were taken from the 'figures' 'npm' package (see <https://github.com/sindresorhus/figures>).
Author: Gábor Csárdi [aut, cre], Sindre Sorhus [aut]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between clisymbols versions 1.1.0 dated 2017-01-27 and 1.2.0 dated 2017-05-21

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Package hunspell updated to version 2.5 with previous version 2.4 dated 2017-04-30

Title: High-Performance Stemmer, Tokenizer, and Spell Checker for R
Description: A spell checker and morphological analyzer library designed for languages with rich morphology and complex word compounding or character encoding. The package can check and analyze individual words as well as search for incorrect words within a text, latex, html or xml document. Use the 'devtools' package to spell check R documentation with 'hunspell'.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between hunspell versions 2.4 dated 2017-04-30 and 2.5 dated 2017-05-21

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New package wildcard with initial version 1.0.0
Package: wildcard
Title: Templates for Data Frames
Version: 1.0.0
Date: 2017-05-20
Authors@R: person(given = c("William", "Michael"), family = "Landau", email = "will.landau@gmail.com", role = c("aut", "cre"))
Description: Generate data frames from templates.
License: GPL (>= 3)
Depends: R (>= 3.0.0)
Imports: magrittr, stringi
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/wlandau/wildcard
BugReports: https://github.com/wlandau/wildcard/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-21 14:53:25 UTC; root
Author: William Michael Landau [aut, cre]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-21 16:00:50 UTC

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Package ROI.plugin.clp updated to version 0.3 with previous version 0.2 dated 2017-05-11

Title: 'Clp (Coin-or linear programming)' Plugin for the 'R' Optimization Interface
Description: Enhances the R Optimization Infrastructure (ROI) package by registering the COIN-OR Clp open-source solver from the COIN-OR suite <https://projects.coin-or.org/>. It allows for solving linear programming with continuous objective variables keeping sparse constraints definition.
Author: Benoit Thieurmel [aut, cre]
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between ROI.plugin.clp versions 0.2 dated 2017-05-11 and 0.3 dated 2017-05-21

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Package optimization updated to version 1.0-4 with previous version 1.0-1 dated 2016-12-04

Title: Flexible Optimization
Description: Flexible optimizer with numerous input specifications. It allows a very detailed parameterization and is therefore useful for specific and complex loss functions, like functions with discrete parameter space. Also visualization tools for validation and analysis of the convergence are included.
Author: Kai Husmann and Alexander Lange
Maintainer: Kai Husmann <khusman1@uni-goettingen.de>

Diff between optimization versions 1.0-1 dated 2016-12-04 and 1.0-4 dated 2017-05-21

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Package forestinventory updated to version 0.2.0 with previous version 0.1.0 dated 2016-07-06

Title: Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories
Description: Extensive global and small-area estimation procedures for multiphase forest inventories under the design-based Monte-Carlo approach are provided. The implementation includes estimators for simple and cluster sampling published by Daniel Mandallaz in 2007 (<DOI:10.1201/9781584889779>), 2013 (<DOI:10.1139/cjfr-2012-0381>, <DOI:10.1139/cjfr-2013-0181>, <DOI:10.1139/cjfr-2013-0449>, <DOI:10.3929/ethz-a-009990020>) and 2016 (<DOI:10.3929/ethz-a-010579388>). It provides point estimates, their external- and design-based variances as well as confidence intervals. The procedures have also been optimized for the use of remote sensing data as auxiliary information.
Author: Andreas Hill [aut, cre], Alexander Massey [aut], Daniel Mandallaz [ctb]
Maintainer: Andreas Hill <andreas.hill@usys.ethz.ch>

Diff between forestinventory versions 0.1.0 dated 2016-07-06 and 0.2.0 dated 2017-05-21

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Package edfReader updated to version 1.1.2 with previous version 1.1.1 dated 2016-04-18

Title: Reading EDF(+) and BDF(+) Files
Description: Reads European Data Format files EDF and EDF+, see <http://www.edfplus.info>, BioSemi Data Format files BDF, see <http://www.biosemi.com/faq/file_format.htm>, and BDF+ files, see <http://www.teuniz.net/edfbrowser/bdfplus%20format%20description.html>. The files are read in two steps: first the header is read and then the signals (using the header object as a parameter).
Author: Jan Vis [aut, cre]
Maintainer: Jan Vis <jan@visconsultancy.eu>

Diff between edfReader versions 1.1.1 dated 2016-04-18 and 1.1.2 dated 2017-05-21

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New package penRvine with initial version 0.2
Package: penRvine
Type: Package
Title: Flexible R-Vines Estimation Using Bivariate Penalized Splines
Version: 0.2
Date: 2017-05-19
Depends: R (>= 2.15.1), lattice,igraph, fda, Matrix
Imports: quadprog, latticeExtra, doParallel, copula, foreach
Author: Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>
Maintainer: Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>
License: GPL (>= 2)
LazyLoad: yes
Description: Offers routines for estimating densities and copula distribution of R-vines using penalized splines.
NeedsCompilation: no
Packaged: 2017-05-21 08:29:37 UTC; cschellhase
Repository: CRAN
Date/Publication: 2017-05-21 09:11:46 UTC

More information about penRvine at CRAN
Permanent link

Package timereg updated to version 1.9.1 with previous version 1.9.0 dated 2016-10-06

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 1.9.0 dated 2016-10-06 and 1.9.1 dated 2017-05-21

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 timereg-1.9.1/timereg/MD5                             |  141 +++----
 timereg-1.9.1/timereg/NAMESPACE                       |   11 
 timereg-1.9.1/timereg/R/Gprop-odds.r                  |  104 +++++
 timereg-1.9.1/timereg/R/aalen.r                       |   13 
 timereg-1.9.1/timereg/R/additive-compSs.r             |    2 
 timereg-1.9.1/timereg/R/base.r                        |   62 +++
 timereg-1.9.1/timereg/R/clusterindex-reshape.r        |    8 
 timereg-1.9.1/timereg/R/comprisk.r                    |  352 +++++++++++++++++-
 timereg-1.9.1/timereg/R/cox-aalen.r                   |   41 +-
 timereg-1.9.1/timereg/R/cox.ipw.r                     |   44 ++
 timereg-1.9.1/timereg/R/cox.marg.r                    |    5 
 timereg-1.9.1/timereg/R/event.r                       |   35 +
 timereg-1.9.1/timereg/R/event.split.r                 |   43 ++
 timereg-1.9.1/timereg/R/glm-comprisk.r                |    1 
 timereg-1.9.1/timereg/R/ipcw-residualmean.r           |  152 +++++++
 timereg-1.9.1/timereg/R/kmplot.r                      |    1 
 timereg-1.9.1/timereg/R/krylow.pls.r                  |   41 ++
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 timereg-1.9.1/timereg/R/new.cox-aalen.r               |  180 +++++++++
 timereg-1.9.1/timereg/R/new.dynreg.r                  |  181 +++++++++
 timereg-1.9.1/timereg/R/new.pe-sasieni.r              |   58 ++
 timereg-1.9.1/timereg/R/new.prop-excess.r             |   76 +++
 timereg-1.9.1/timereg/R/new.timecox.r                 |  110 +++++
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 timereg-1.9.1/timereg/R/predict-timereg.r             |  184 +++++++++
 timereg-1.9.1/timereg/R/prop-odds-subdist.r           |  128 ++++++
 timereg-1.9.1/timereg/R/prop-odds.r                   |  107 +++++
 timereg-1.9.1/timereg/R/qcut.r                        |   36 +
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 timereg-1.9.1/timereg/man/aalen.Rd                    |  198 +++++-----
 timereg-1.9.1/timereg/man/comp.risk.Rd                |  315 ++++++++--------
 timereg-1.9.1/timereg/man/const.Rd                    |   17 
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 timereg-1.9.1/timereg/man/cox.aalen.Rd                |  276 +++++++-------
 timereg-1.9.1/timereg/man/cox.ipw.Rd                  |   76 ++-
 timereg-1.9.1/timereg/man/cum.residuals.Rd            |   82 ++--
 timereg-1.9.1/timereg/man/dynreg.Rd                   |  220 +++++------
 timereg-1.9.1/timereg/man/event.split.Rd              |   51 +-
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 77 files changed, 4358 insertions(+), 1609 deletions(-)

More information about timereg at CRAN
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Package RANN updated to version 2.5.1 with previous version 2.5 dated 2015-04-20

Title: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
Description: Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
Author: Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between RANN versions 2.5 dated 2015-04-20 and 2.5.1 dated 2017-05-21

 DESCRIPTION              |   21 +++++++++------
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 NAMESPACE                |    2 -
 NEWS                     |    8 ++++++
 R/nn.R                   |    6 ++--
 README.md                |   10 +++++--
 man/RANN-package.Rd      |    5 +--
 man/nn2.Rd               |   62 +++++++++++++++++++++++------------------------
 src/init.c               |only
 tests/testthat/test-nn.R |   11 ++++++++
 10 files changed, 85 insertions(+), 57 deletions(-)

More information about RANN at CRAN
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Package mclust updated to version 5.3 with previous version 5.2.3 dated 2017-03-13

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

Diff between mclust versions 5.2.3 dated 2017-03-13 and 5.3 dated 2017-05-21

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 59 files changed, 1738 insertions(+), 1070 deletions(-)

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Package IgorR updated to version 0.8.1 with previous version 0.8 dated 2015-05-28

Title: Read Binary Files Saved by 'Igor Pro' (Including 'Neuromatic' Data)
Description: Provides function to read data from the 'Igor Pro' data analysis program by Wavemetrics. The data formats supported are 'Igor' packed experiment format (pxp) and 'Igor' binary wave (ibw). See: http://www.wavemetrics.com/ for details. Also includes functions to load special pxp files produced by the 'Igor Pro' 'Neuromatic' and 'Nclamp' packages for recording and analysing neuronal data. See http://www.neuromatic.thinkrandom.com/ for details.
Author: Greg Jefferis with contributions from Thomas Braun
Maintainer: Greg Jefferis <jefferis@gmail.com>

Diff between IgorR versions 0.8 dated 2015-05-28 and 0.8.1 dated 2017-05-21

 DESCRIPTION                   |    7 ++++---
 MD5                           |   34 +++++++++++++++++-----------------
 NAMESPACE                     |    5 ++++-
 NEWS                          |    4 ++++
 R/ReadIgorBinary.R            |    1 +
 R/ReadNclamp.R                |    1 +
 README.md                     |    6 +++---
 man/IgorR-package.Rd          |    5 ++---
 man/IgorR-private.Rd          |   10 ++--------
 man/ReadAllNclampLogTables.Rd |    3 +--
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 man/read.pxp.Rd               |   19 +++++++++----------
 man/tsp.igorwave.Rd           |    9 ++++-----
 18 files changed, 69 insertions(+), 75 deletions(-)

More information about IgorR at CRAN
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Package GlobalOptions updated to version 0.0.12 with previous version 0.0.11 dated 2017-03-06

Title: Generate Functions to Get or Set Global Options
Description: It provides more controls on the option values such as validation and filtering on the values, making options invisible or private.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GlobalOptions versions 0.0.11 dated 2017-03-06 and 0.0.12 dated 2017-05-21

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 NEWS                        |    6 ++++++
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 R/setGlobalOptions.R        |   32 ++++++++++++++++++++++----------
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 8 files changed, 71 insertions(+), 38 deletions(-)

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Package dynr updated to version 0.1.10-10 with previous version 0.1.9-20 dated 2017-02-24

Title: Dynamic Modeling in R
Description: Intensive longitudinal data have become increasingly prevalent in various scientific disciplines. Many such data sets are noisy, multivariate, and multi-subject in nature. The change functions may also be continuous, or continuous but interspersed with periods of discontinuities (i.e., showing regime switches). The package \pkg{dynr} (Dynamic Modeling in R) is an R package that implements a set of computationally efficient algorithms for handling a broad class of linear and nonlinear discrete- and continuous-time models with regime-switching properties under the constraint of linear Gaussian measurement functions. The discrete-time models can generally take on the form of a state- space or difference equation model. The continuous-time models are generally expressed as a set of ordinary or stochastic differential equations. All estimation and computations are performed in C, but users are provided with the option to specify the model of interest via a set of simple and easy-to-learn model specification functions in R. Model fitting can be performed using single- subject time series data or multiple-subject longitudinal data.
Author: Lu Ou [aut], Michael D. Hunter [aut, cre], Sy-Miin Chow [aut]
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>

Diff between dynr versions 0.1.9-20 dated 2017-02-24 and 0.1.10-10 dated 2017-05-21

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 NAMESPACE                     |    3 
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 93 files changed, 3926 insertions(+), 2867 deletions(-)

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New package regnet with initial version 0.1.0
Package: regnet
Type: Package
Title: Network-Based Regularization for Generalized Linear Models
Version: 0.1.0
Authors@R: c( person("Jie", "Ren", email = "jieren@ksu.edu", role = c("aut", "cre")), person("Luann C.", "Jung", email = "luannjung01@gmail.com", role = c("aut")), person("Cen", "Wu", email = "wucen@ksu.edu", role = "aut"), person("Yinhao", "Du", role = c("ctb")), person("Jiang", "Yu", role = c("ctb")), person("Junhao", "Liu", role = c("ctb")))
Description: Network-based regularization has achieved success in variable selections for high-dimensional biological data, due to its ability to incorporate the correlations among genomic features.This package provides procedures for fitting network-based regularization, minimax concave penalty (MCP) and lasso penalty for generalized linear models. This first version, regent0.1.0, focuses on binary outcomes. Functions for continuous, survival outcomes and other regularization methods will be included in the forthcoming upgraded version.
Depends: R (>= 3.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: glmnet, stats
URL: https://github.com/jrhub/regnet
BugReports: https://github.com/jrhub/regnet/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-20 23:27:59 UTC; RenJie
Author: Jie Ren [aut, cre], Luann C. Jung [aut], Cen Wu [aut], Yinhao Du [ctb], Jiang Yu [ctb], Junhao Liu [ctb]
Maintainer: Jie Ren <jieren@ksu.edu>
Repository: CRAN
Date/Publication: 2017-05-21 07:00:25 UTC

More information about regnet at CRAN
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New package PhenotypeSimulator with initial version 0.1.1
Package: PhenotypeSimulator
Title: Flexible Phenotype Simulation from Different Genetic and Noise Models
Version: 0.1.1
Authors@R: c( person("Hannah", "Meyer", email = "hannah@ebi.ac.uk", role = c("aut", "cre")), person("Konrad", "Rudolph", email = "konrad.rudolph@gmail.com", role = "ctb") )
Description: Phenotype simulator allows for the flexible simulation of phenotypes under different models, including fixed and background genetic effects as well as correlated, fixed and background noise effects. Different phenotypic effects can be combined into a final phenotype while controling for the proportion of variance explained by each of the components. For each component, the number of variables, their distribution and the design of their effect across traits can be customised. The final simulated phenotypes and its components can be automatically saved into .rds or .csv files. In addition, for simulated genotypes, export into plink format is possible.
Depends: R (>= 3.3.2)
LinkingTo: Rcpp
Imports: methods, optparse, R.utils, plyr, mvtnorm, snpStats, Rcpp (>= 0.12.10)
Suggests: testthat, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-05-20 09:05:44 UTC; hannah
Author: Hannah Meyer [aut, cre], Konrad Rudolph [ctb]
Maintainer: Hannah Meyer <hannah@ebi.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-21 07:02:27 UTC

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New package numGen with initial version 0.1.0
Package: numGen
Type: Package
Title: Number Series Generator
Version: 0.1.0
Author: Aiden Loe [aut,cre,cph]
Maintainer: Aiden <bsl28@cam.ac.uk>
Description: A number series generator that creates number series items based on cognitive models.
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-20 23:22:04 UTC; Aiden
Repository: CRAN
Date/Publication: 2017-05-21 07:04:48 UTC

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New package NPMOD with initial version 0.1.0
Package: NPMOD
Type: Package
Version: 0.1.0
Date: 2017-05-20
Title: Non Parametric Module
Author: Juan Pablo Paulino-Arce, Nery Sofia Huerta-Pacheco, Victor Manuel Aguirre-Torres
Maintainer: Nery Sofia Huerta-Pacheco <nehuerta@uv.mx>
Depends: R(>= 3.0.0), tcltk, gWidgets
Description: Non-Parametric Module (NPMOD) is a graphical interface dedicated to the testing of non-parametric data for educational purposes.
Imports: readxl, nortest, BSDA, RVAideMemoire, clinfun, pspearman, rlang
SystemRequirements: Tcl/Tk package
License: GPL (>= 2)
URL: http://www.uv.mx/personal/nehuerta/npmod/
NeedsCompilation: no
Encoding: UTF-8
RoxygenNote: 6.0.1
Packaged: 2017-05-20 14:48:17 UTC; sofia.huerta.p
Repository: CRAN
Date/Publication: 2017-05-21 07:04:28 UTC

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New package lagged with initial version 0.1-0
Package: lagged
Type: Package
Title: Classes and Methods for Lagged Objects
Version: 0.1-0
Date: 2017-05-20
Author: Georgi N. Boshnakov
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Description: Provides classes and methods for lagged objects.
Imports: methods
License: GPL (>= 2)
LazyLoad: yes
Collate: lagged.R utils.R
NeedsCompilation: no
Packaged: 2017-05-20 15:33:24 UTC; mcbssgb2
Repository: CRAN
Date/Publication: 2017-05-21 07:02:52 UTC

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Package imputeTS updated to version 2.3 with previous version 2.2 dated 2017-04-23

Title: Time Series Missing Value Imputation
Description: Imputation (replacement) of missing values in univariate time series.
Author: Steffen Moritz
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

Diff between imputeTS versions 2.2 dated 2017-04-23 and 2.3 dated 2017-05-21

 imputeTS-2.2/imputeTS/inst/doc/Introduction.Rnw                                        |only
 imputeTS-2.2/imputeTS/inst/doc/Introduction.pdf                                        |only
 imputeTS-2.2/imputeTS/vignettes/Introduction.Rnw                                       |only
 imputeTS-2.3/imputeTS/DESCRIPTION                                                      |    8 +--
 imputeTS-2.3/imputeTS/MD5                                                              |   23 +++++-----
 imputeTS-2.3/imputeTS/NEWS                                                             |   11 ++++
 imputeTS-2.3/imputeTS/R/na.kalman.R                                                    |    2 
 imputeTS-2.3/imputeTS/R/na.seadec.R                                                    |    6 ++
 imputeTS-2.3/imputeTS/R/na.seasplit.R                                                  |    6 ++
 imputeTS-2.3/imputeTS/README.md                                                        |    9 +++
 imputeTS-2.3/imputeTS/build/vignette.rds                                               |binary
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 imputeTS-2.3/imputeTS/inst/doc/imputeTS-Time-Series-Missing-Value-Imputation-in-R.pdf  |only
 imputeTS-2.3/imputeTS/tests/testthat/test-na.seasplit.R                                |    6 +-
 imputeTS-2.3/imputeTS/vignettes/imputeTS-Time-Series-Missing-Value-Imputation-in-R.Rnw |only
 imputeTS-2.3/imputeTS/vignettes/titletoc.sty                                           |only
 16 files changed, 52 insertions(+), 19 deletions(-)

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Package GWmodel updated to version 2.0-4 with previous version 2.0-3 dated 2017-03-28

Title: Geographically-Weighted Models
Description: In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GWmodel versions 2.0-3 dated 2017-03-28 and 2.0-4 dated 2017-05-21

 DESCRIPTION        |    8 ++++----
 MD5                |    8 ++++----
 R/GeneralizedGWR.r |   24 ++++++++++++++++--------
 R/gwr.basic.r      |    2 +-
 R/zzz.r            |    2 +-
 5 files changed, 26 insertions(+), 18 deletions(-)

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Package d3r updated to version 0.6.5 with previous version 0.6.4 dated 2017-04-27

Title: 'd3.js' Utilities for R
Description: Helper functions for using 'd3.js' in R.
Author: Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Kent Russell [aut, cre] (R interface)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between d3r versions 0.6.4 dated 2017-04-27 and 0.6.5 dated 2017-05-21

 DESCRIPTION                   |    8 ++++----
 MD5                           |   12 ++++++------
 NEWS.md                       |    6 ++++++
 R/dependencies.R              |    4 ++--
 README.md                     |   10 +++++++++-
 inst/www/d3/v4/API.md         |   22 +++++++++++++++++++++-
 inst/www/d3/v4/dist/d3.min.js |   16 ++++++++--------
 7 files changed, 56 insertions(+), 22 deletions(-)

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Package aSPU updated to version 1.47 with previous version 1.46 dated 2016-11-08

Title: Adaptive Sum of Powered Score Test
Description: R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests and gene-based and some pathway based association tests (Pathway based Sum of Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU' test for multiple traits - single 'SNP' (single nucleotide polymorphism) association in generalized estimation equations, 'MTaSPUs' test for multiple traits - single 'SNP' association with Genome Wide Association Studies ('GWAS') summary statistics, Gene-based Association Test that uses an extended 'Simes' procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version of 'GATES' test for pathway-based association testing ('GATES-Simes'). ). The tests can be used with genetic and other data sets with covariates. The response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set association with individual-level data ('aSPU', 'aSPUw', 'aSPUr'), (2) Single trait-'SNP' set association with summary statistics ('aSPUs'), (3) Single trait-pathway association with individual-level data ('aSPUpath'), (4) Single trait-pathway association with summary statistics ('aSPUsPath'), (5) Multiple traits-single 'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits- single 'SNP' association with summary statistics ('MTaSPUs'), (7) Multiple traits-'SNP' set association with summary statistics('MTaSPUsSet'), (8) Multiple traits-pathway association with summary statistics('MTaSPUsSetPath').
Author: Il-Youp Kwak and others (See Author(s) in each function manual)
Maintainer: Il-Youp Kwak <ikwak@umn.edu>

Diff between aSPU versions 1.46 dated 2016-11-08 and 1.47 dated 2017-05-21

 aSPU-1.46/aSPU/R/MTaSPUsSetC.R          |only
 aSPU-1.46/aSPU/R/RcppExports.R          |only
 aSPU-1.46/aSPU/R/aSPUpermC2.R           |only
 aSPU-1.46/aSPU/R/aSPUsimC2.R            |only
 aSPU-1.46/aSPU/R/aSPUwpermC.R           |only
 aSPU-1.46/aSPU/man/MTaSPUsSetC.Rd       |only
 aSPU-1.46/aSPU/src                      |only
 aSPU-1.47/aSPU/DESCRIPTION              |   20 -
 aSPU-1.47/aSPU/MD5                      |  115 +++---
 aSPU-1.47/aSPU/NAMESPACE                |    7 
 aSPU-1.47/aSPU/R/GATES2.R               |    1 
 aSPU-1.47/aSPU/R/GatesSimes.R           |    1 
 aSPU-1.47/aSPU/R/Hyst.R                 |    1 
 aSPU-1.47/aSPU/R/MTaSPUs.R              |    6 
 aSPU-1.47/aSPU/R/MTaSPUsSet.R           |    1 
 aSPU-1.47/aSPU/R/MTaSPUsSetPath.R       |    3 
 aSPU-1.47/aSPU/R/MTaSPUsSetScore.R      |    1 
 aSPU-1.47/aSPU/R/aSPU.R                 |    5 
 aSPU-1.47/aSPU/R/aSPUpath.r             |   80 +---
 aSPU-1.47/aSPU/R/aSPUpath2.r            |only
 aSPU-1.47/aSPU/R/aSPUsPath.r            |   21 -
 aSPU-1.47/aSPU/R/aSPUsPath2.r           |only
 aSPU-1.47/aSPU/R/aSPUw.R                |    7 
 aSPU-1.47/aSPU/R/estcov.R               |    9 
 aSPU-1.47/aSPU/R/getlogitp.R            |    1 
 aSPU-1.47/aSPU/R/plotPmat.r             |    1 
 aSPU-1.47/aSPU/R/simPathAR1SNP.R        |    1 
 aSPU-1.47/aSPU/R/util.R                 |   15 
 aSPU-1.47/aSPU/README.md                |   17 
 aSPU-1.47/aSPU/build/vignette.rds       |binary
 aSPU-1.47/aSPU/inst/doc/MTaSPUsSet.R    |   18 -
 aSPU-1.47/aSPU/inst/doc/MTaSPUsSet.Rmd  |   24 -
 aSPU-1.47/aSPU/inst/doc/MTaSPUsSet.html |  517 ++++++++++++++++++++----------
 aSPU-1.47/aSPU/inst/doc/aSPUstat.Rmd    |    2 
 aSPU-1.47/aSPU/inst/doc/aSPUstat.html   |  550 ++++++++++++++++++++++----------
 aSPU-1.47/aSPU/man/GATES2.Rd            |    7 
 aSPU-1.47/aSPU/man/GEEaSPU.Rd           |    7 
 aSPU-1.47/aSPU/man/GatesSimes.Rd        |    7 
 aSPU-1.47/aSPU/man/Hyst.Rd              |    7 
 aSPU-1.47/aSPU/man/MTaSPUs.Rd           |   11 
 aSPU-1.47/aSPU/man/MTaSPUsSet.Rd        |    8 
 aSPU-1.47/aSPU/man/MTaSPUsSetPath.Rd    |    9 
 aSPU-1.47/aSPU/man/MTaSPUsSetScore.Rd   |    8 
 aSPU-1.47/aSPU/man/aSPU.Rd              |    7 
 aSPU-1.47/aSPU/man/aSPUpath.Rd          |    7 
 aSPU-1.47/aSPU/man/aSPUpath2.Rd         |only
 aSPU-1.47/aSPU/man/aSPUr.Rd             |    7 
 aSPU-1.47/aSPU/man/aSPUs.Rd             |    7 
 aSPU-1.47/aSPU/man/aSPUsD.Rd            |    7 
 aSPU-1.47/aSPU/man/aSPUsPath.Rd         |    9 
 aSPU-1.47/aSPU/man/aSPUsPath2.Rd        |only
 aSPU-1.47/aSPU/man/aSPUw.Rd             |    7 
 aSPU-1.47/aSPU/man/estcov.Rd            |   11 
 aSPU-1.47/aSPU/man/getlogitp.Rd         |    1 
 aSPU-1.47/aSPU/man/minP.Rd              |    7 
 aSPU-1.47/aSPU/man/plotPmat.Rd          |    7 
 aSPU-1.47/aSPU/man/pruneSNP.Rd          |    7 
 aSPU-1.47/aSPU/man/simPathAR1Snp.Rd     |    1 
 aSPU-1.47/aSPU/vignettes/MTaSPUsSet.Rmd |   24 -
 aSPU-1.47/aSPU/vignettes/aSPUstat.Rmd   |    2 
 60 files changed, 996 insertions(+), 603 deletions(-)

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Package plfMA updated to version 1.0.4 with previous version 1.0.3 dated 2016-06-13

Title: A GUI to View, Design and Export Various Graphs of Data
Description: Provides a graphical user interface for viewing and designing various types of graphs of the data. The graphs can be saved in different formats of an image.
Author: Dhammapal Bharne, Vaibhav Vindal
Maintainer: Dhammapal Bharne <dhammapalb@uohyd.ac.in>

Diff between plfMA versions 1.0.3 dated 2016-06-13 and 1.0.4 dated 2017-05-21

 DESCRIPTION          |   13 +++++-----
 MD5                  |   10 ++++----
 NAMESPACE            |    1 
 R/plfMA.R            |   17 ++++++-------
 man/plfMA-package.Rd |   44 ++++++++++++++++++------------------
 man/plfMA.Rd         |   62 +++++++++++++++++++++------------------------------
 6 files changed, 69 insertions(+), 78 deletions(-)

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