Thu, 27 Aug 2015

New package umx with initial version 0.50
Package: umx
Version: 0.50
Date: 2015-08-27
Title: Helper Functions for Structural Equation Modelling in OpenMx
Authors@R: c(person("Timothy C", "Bates", role = c("aut", "cre"), email = "timothy.c.bates@gmail.com"))
Maintainer: Timothy C Bates <timothy.c.bates@gmail.com>
License: GPL-3
URL: http://github.com/tbates/umx
Description: Helper functions for making, running, and reporting SEM models in OpenMx. If you are just starting, try typing ?umx.
Depends: R (>= 3.0.3), OpenMx (>= 2.2.0)
Imports: formula.tools, utils, MASS, Matrix, methods, mvtnorm, numDeriv, polycor, R2HTML, RCurl
Suggests: knitr
BugReports: http://github.com/tbates/umx/issues
LazyData: true
NeedsCompilation: no
Packaged: 2015-08-27 14:06:02 UTC; tim
Author: Timothy C Bates [aut, cre]
Repository: CRAN
Date/Publication: 2015-08-28 01:11:25

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Package tmvtnorm updated to version 1.4-10 with previous version 1.4-9 dated 2014-03-03

Title: Truncated Multivariate Normal and Student t Distribution
Description: Random number generation for the truncated multivariate normal and Student t distribution. Computes probabilities, quantiles and densities, including one-dimensional and bivariate marginal densities. Computes first and second moments (i.e. mean and covariance matrix) for the double-truncated multinormal case.
Author: Stefan Wilhelm <wilhelm@financial.com> with contributions from Manjunath B G <bgmanjunath@gmail.com>
Maintainer: Stefan Wilhelm <wilhelm@financial.com>

Diff between tmvtnorm versions 1.4-9 dated 2014-03-03 and 1.4-10 dated 2015-08-27

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Package mpt updated to version 0.5-2 with previous version 0.5-1 dated 2015-02-03

Title: Multinomial Processing Tree Models
Description: Fitting and testing multinomial processing tree (MPT) models, a class of statistical models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999; Erdfelder et al., 2009; Riefer & Batchelder, 1988).
Author: Florian Wickelmaier [aut, cre], Achim Zeileis [aut]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

Diff between mpt versions 0.5-1 dated 2015-02-03 and 0.5-2 dated 2015-08-27

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New package KERE with initial version 1.0.0
Package: KERE
Title: Expectile Regression in Reproducing Kernel Hilbert Space
Version: 1.0.0
Date: 2015-8-26
Author: Yi Yang, Teng Zhang, Hui Zou
Maintainer: Yi Yang <yiyang@umn.edu>
Depends: methods
Description: An efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of a flexible nonparametric expectile regression estimator constructed in a reproducing kernel Hilbert space.
License: GPL-2
Packaged: 2015-08-27 13:38:41 UTC; emeryyi
Repository: CRAN
Date/Publication: 2015-08-28 00:35:09
NeedsCompilation: yes

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New package hdnom with initial version 1.2
Package: hdnom
Type: Package
Title: Nomograms for High-Dimensional Cox Models
Version: 1.2
Date: 2015-08-27
Author: Miaozhu Li <miaozhu.li@duke.edu>, Nan Xiao <nanx@uchicago.edu>
Maintainer: Nan Xiao <nanx@uchicago.edu>
Description: Build nomograms for high-dimensional Cox models, with support for model validation and calibration.
License: GPL
LazyData: TRUE
VignetteBuilder: knitr
URL: http://nomogr.am
BugReports: https://github.com/road2stat/hdnom/issues
Depends: R (>= 3.0.2)
Imports: survival, glmnet, rms, foreach, survAUC
Suggests: knitr, doParallel, Hmisc, mice
NeedsCompilation: no
Packaged: 2015-08-27 14:07:40 UTC; jimmy
Repository: CRAN
Date/Publication: 2015-08-28 01:11:22

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Package extRemes updated to version 2.0-6 with previous version 2.0-5 dated 2015-01-21

Title: Extreme Value Analysis
Description: Functions for performing extreme value analysis.
Author: Eric Gilleland
Maintainer: Eric Gilleland <ericg@ucar.edu>

Diff between extRemes versions 2.0-5 dated 2015-01-21 and 2.0-6 dated 2015-08-27

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Package cacIRT updated to version 1.4 with previous version 1.3 dated 2014-01-28

Title: Classification Accuracy and Consistency under Item Response Theory
Description: Computes classification accuracy and consistency indices under Item Response Theory. Implements the total score IRT-based methods in Lee, Hanson & Brennen (2002) and Lee (2010), the IRT-based methods in Rudner (2001, 2005), and the total score nonparametric methods in Lathrop & Cheng (2014). For dichotomous and polytomous tests.
Author: Quinn N. Lathrop
Maintainer: Quinn N. Lathrop <quinn.lathrop@gmail.com>

Diff between cacIRT versions 1.3 dated 2014-01-28 and 1.4 dated 2015-08-27

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Package Anthropometry updated to version 1.5 with previous version 1.3 dated 2015-08-26

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis.
Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between Anthropometry versions 1.3 dated 2015-08-26 and 1.5 dated 2015-08-27

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Package walkr updated to version 0.3.3 with previous version 0.3-2 dated 2015-08-13

Title: Random Walks in the Intersection of Hyperplanes and the N-Simplex
Description: Consider the intersection of two spaces: the complete solution space to Ax = b and the N-simplex. The intersection of these two spaces is a non-negative convex polytope. The package walkr samples from this intersection using two Monte-Carlo Markov Chain (MCMC) methods: hit-and-run and Dikin walk. walkr also provide tools to examine sample quality.
Author: as.person(c( "Andy Yao <andy.yao17@gmail.com> [aut]", "David Kane <dave.kane@gmail.com> [aut]" ))
Maintainer: Andy Yao <andy.yao17@gmail.com>

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Package TAM updated to version 1.12-0 with previous version 1.11-0 dated 2015-08-11

Title: Test Analysis Modules
Description: Includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models). Latent regression models and plausible value imputation are also supported.
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <a.robitzsch@bifie.at>

Diff between TAM versions 1.11-0 dated 2015-08-11 and 1.12-0 dated 2015-08-27

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New package SimReg with initial version 1.1
Package: SimReg
Type: Package
Title: Similarity Regression Functions
Version: 1.1
Date: 2015-08-26
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>
Description: Functions for performing Bayesian `similarity regression', adapted to regression of binary genotype against HPO encoded phenotype. The purpose is to weigh the evidence for an association between phenotype and genotype. This is done by estimating a Bayes factor comparing a `no association' model with one in which log odds of presenting a particular binary genotype is linked to the semantic similarity between the corresponding phenotype and an estimated characteristic phenotype.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.1), dplyr, parallel, ggplot2, plotrix, gridExtra, reshape2
LinkingTo: Rcpp
Depends: R (>= 3.0.0), hpoPlot
NeedsCompilation: yes
Packaged: 2015-08-27 09:19:17 UTC; dg333
Repository: CRAN
Date/Publication: 2015-08-27 14:14:04

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Package sgPLS updated to version 1.3 with previous version 1.2 dated 2015-04-30

Title: Sparse Group Partial Least Square Methods
Description: The Sparse Group Partial Least Square package (sgPLS) provides sparse, group, and sparse group versions of partial least square regression models.
Author: Benoit Liquet and Pierre Lafaye de Micheaux
Maintainer: Benoit Liquet <b.liquet@uq.edu.au>

Diff between sgPLS versions 1.2 dated 2015-04-30 and 1.3 dated 2015-08-27

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New package edgar with initial version 1.0.1
Package: edgar
Type: Package
Title: Platform for EDGAR Filling Management
Version: 1.0.1
Date: 2015-08-24
Author: Gunratan Lonare <lonare.gunratan@gmail.com>, Bharat Patil <bharatspatil@gmail.com>
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>
Depends: R (>= 3.1), shiny, shinydashboard, rChoiceDialogs
Imports: R.utils,tcltk,tm,XML,wordcloud,RColorBrewer
Description: EDGAR is the Electronic Data Gathering, Analysis, and Retrieval system which performs automated collection, validation, indexing, acceptance, and forwarding of submissions by companies and others who are required by law to file forms with the U.S. Securities and Exchange Commission (SEC). This package downloads EDGAR Master Index and EDGAR Fillings from SEC.org site and do sentiment analysis of 10-K statements.
License: GPL-2
Packaged: 2015-08-27 10:23:06 UTC; Gunratan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-27 14:14:11

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Package systemfit updated to version 1.1-18 with previous version 1.1-16 dated 2015-06-09

Title: Estimating Systems of Simultaneous Equations
Description: Fitting simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), and Three-Stage Least Squares (3SLS).
Author: Arne Henningsen and Jeff D. Hamann
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between systemfit versions 1.1-16 dated 2015-06-09 and 1.1-18 dated 2015-08-27

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New package OptiQuantR with initial version 0.0.1
Package: OptiQuantR
Type: Package
Title: Simplifies and Automates Analyzing and Reporting OptiQuant's log Data
Version: 0.0.1
Date: 2015-08-24
Authors@R: person("Joao", "Pinelo Silva", email = "j.pinelo@mac.com", role = c("aut", "cre"))
Description: Greatly simplifies the process to read, analyze and report log data collated by OptiQuant (optiquant.opti55.com) in R. It automates efficient import of databases while preparing them for analysis and for semi-automated reporting.
Depends: R (>= 3.2.2)
Imports: data.table (>= 1.9.4), lubridate (>= 1.3.3)
License: GPL-3
LazyData: TRUE
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2015-08-27 07:39:59 UTC; jpinelo
Author: Joao Pinelo Silva [aut, cre]
Maintainer: Joao Pinelo Silva <j.pinelo@mac.com>
Repository: CRAN
Date/Publication: 2015-08-27 10:30:56

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Package multic updated to version 0.4.3 with previous version 0.4.2 dated 2015-08-21

Title: Quantitative Linkage Analysis Tools using the Variance Components Approach
Description: Calculate the polygenic and major gene models for quantitative trait linkage analysis using variance components approach. The 0.2.2 release includes bug fixes that allow 'multic' to run properly on 64-bit systems. The 0.3.0 release includes a fully implemented sw2mloci() function. As of 0.3.8, Splus version is no longer supported. Additional documentation and examples can be found in the inst directory.
Author: Eric Lunde, Mariza de Andrade, Beth Atkinson, Pat Votruba
Maintainer: Pat Votruba <votruba.patrick@mayo.edu>

Diff between multic versions 0.4.2 dated 2015-08-21 and 0.4.3 dated 2015-08-27

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Package intervals updated to version 0.15.1 with previous version 0.15.0 dated 2014-09-19

Title: Tools for Working with Points and Intervals
Description: Tools for working with and comparing sets of points and intervals.
Author: Richard Bourgon <bourgon.richard@gene.com>
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between intervals versions 0.15.0 dated 2014-09-19 and 0.15.1 dated 2015-08-27

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Package InformationValue updated to version 1.1.1 with previous version 1.1.0 dated 2015-08-04

Title: Performance Analysis and Companion Functions for Accuracy Improvement for Binary Classification Problems
Description: Provides companion function for analysing the performance of classification models. Also, provides function to optimise probability cut-off score based on used specified objectives, Plot 'ROC' Curve in 'ggplot2', 'AUROC', 'IV', 'WOE' Calculation, etc to aid accuracy improvement in binary classification models.
Author: Selva Prabhakaran
Maintainer: Selva Prabhakaran <selva86@gmail.com>

Diff between InformationValue versions 1.1.0 dated 2015-08-04 and 1.1.1 dated 2015-08-27

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New package cate with initial version 1.0.1
Package: cate
Type: Package
Title: High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation
Version: 1.0.1
Date: 2015-08-22
Authors@R: c(person("Jingshu", "Wang", email = "jingshuw@stanford.edu", role = c("aut")), person("Qingyuan", "Zhao", email = "qyzhao@stanford.edu", role = c("aut", "cre")))
Description: Provides several methods for factor analysis in high dimension (both n,p >> 1) and methods to adjust for possible confounders in multiple hypothesis testing.
Imports: MASS, esaBcv, ruv, sva, corpcor, leapp
License: GPL-2
LazyData: TRUE
Packaged: 2015-08-26 03:29:53 UTC; qyzhao
Author: Jingshu Wang [aut], Qingyuan Zhao [aut, cre]
Maintainer: Qingyuan Zhao <qyzhao@stanford.edu>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-27 09:08:54

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Package support.CEs updated to version 0.4-1 with previous version 0.3-3 dated 2015-04-27

Title: Basic Functions for Supporting an Implementation of Choice Experiments
Description: Provides seven basic functions that support an implementation of choice experiments.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between support.CEs versions 0.3-3 dated 2015-04-27 and 0.4-1 dated 2015-08-27

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Package plfMA updated to version 1.0.1 with previous version 1.0 dated 2015-08-19

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 dated 2015-08-19 and 1.0.1 dated 2015-08-27

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 man/plfMA.Rd |    6 +++---
 5 files changed, 26 insertions(+), 12 deletions(-)

More information about plfMA at CRAN
Permanent link

New package nhanesA with initial version 0.4
Package: nhanesA
Version: 0.4
Date: 2015-08-26
Title: NHANES Data Retrieval
Author: Christopher Endres
Maintainer: Christopher Endres <cjendres1@gmail.com>
Depends: R (>= 3.0.0)
Imports: stringr, Hmisc
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES).
License: GPL (>= 2)
LazyData: TRUE
URL: https://github.com/cjendres1/nhanes
Packaged: 2015-08-26 22:59:01 UTC; Endres
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-27 08:31:57

More information about nhanesA at CRAN
Permanent link

Package mmod updated to version 1.3.1 with previous version 1.3.0 dated 2015-07-11

Title: Modern Measures of Population Differentiation
Description: Provides functions for measuring population divergence from genotypic data.
Author: David Winter [aut, cre], Peter Green [ctb], Zhian Kamvar [ctb], Thierry Gosselin [ctb]
Maintainer: David Winter <david.winter@gmail.com>

Diff between mmod versions 1.3.0 dated 2015-07-11 and 1.3.1 dated 2015-08-27

 DESCRIPTION        |   12 +++++++-----
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 NEWS               |    5 +++++
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 build/vignette.rds |binary
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 6 files changed, 18 insertions(+), 10 deletions(-)

More information about mmod at CRAN
Permanent link

Package lasvmR updated to version 0.1.2 with previous version 0.1.1 dated 2015-08-26

Title: A Simple Wrapper for the LASVM Solver
Description: This is a simple wrapper for the LASVM Solver (see http://leon.bottou.org/projects/lasvm). LASVM is basically an online variant of the SMO solver.
Author: Aydin Demircioglu
Maintainer: Aydin Demircioglu <aydin.demircioglu@ini.rub.de>

Diff between lasvmR versions 0.1.1 dated 2015-08-26 and 0.1.2 dated 2015-08-27

 DESCRIPTION    |    8 ++++----
 MD5            |    4 ++--
 src/la_svm.cpp |    8 ++------
 3 files changed, 8 insertions(+), 12 deletions(-)

More information about lasvmR at CRAN
Permanent link

Package iaQCA updated to version 0.8.7.0 with previous version 0.8.0.0 dated 2015-08-06

Title: The Irvine Robustness Assessment for Qualitative Comparative Analysis
Description: Test the robustness of a user's QCA solutions to randomness, using iraQCA. iaQCA is packaged with the irrQCA function, which provides recommendations for improving QCA solutions to reach typical significance levels.
Author: C. Ben Gibson [aut, cre], Burrel Vann Jr [aut]
Maintainer: C. Ben Gibson <cbgibson@uci.edu>

Diff between iaQCA versions 0.8.0.0 dated 2015-08-06 and 0.8.7.0 dated 2015-08-27

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Package cgdsr updated to version 1.2.5 with previous version 1.2.4 dated 2015-08-25

Title: R-Based API for Accessing the MSKCC Cancer Genomics Data Server (CGDS)
Description: Provides a basic set of R functions for querying the Cancer Genomics Data Server (CGDS), hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC).
Author: Anders Jacobsen <jacobsen@cbio.mskcc.org>
Maintainer: Augustin Luna <lunaa@cbio.mskcc.org>

Diff between cgdsr versions 1.2.4 dated 2015-08-25 and 1.2.5 dated 2015-08-27

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Permanent link

New package CensMixReg with initial version 0.5
Package: CensMixReg
Type: Package
Title: Modeling Censored Data Using Mixture Regression
Version: 0.5
Date: 2015-08-26
Author: Luis Benites Sanchez, Victor Hugo Lachos
Maintainer: Luis Benites Sanchez <lbenitesanchez@gmail.com>
Imports: mixsmsn
Description: Fit censored linear mixture regression model of Normal or Student-t distribution.
License: GPL (>= 2)
LazyData: TRUE
Packaged: 2015-08-26 23:28:54 UTC; luis
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-27 08:56:09

More information about CensMixReg at CRAN
Permanent link

New package artfima with initial version 1.0
Package: artfima
Type: Package
Title: Fit ARTFIMA Model
Version: 1.0
Date: 2015-08-25
Author: A. I. McLeod, Farzad Sabzikar, Mark M. Meerschaert
Maintainer: A.I. McLeod <aimcleod@uwo.ca>
Description: Fit and simulate ARTFIMA. Theoretical autocovariance function and spectral density function for stationary ARTFIMA.
Depends: R (>= 2.1.0)
Imports: ltsa, gsl
LazyLoad: yes
LazyData: yes
Classification/ACM: G.3, G.4, I.5.1
Classification/MSC: 62M10, 91B84
License: GPL (>= 2)
URL: http://www.stats.uwo.ca/faculty/aim
NeedsCompilation: no
Packaged: 2015-08-27 04:54:54 UTC; IanMcLeod
Repository: CRAN
Date/Publication: 2015-08-27 08:35:42

More information about artfima at CRAN
Permanent link

Wed, 26 Aug 2015

Package sjPlot updated to version 1.8.3 with previous version 1.8.2 dated 2015-07-01

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjPlot versions 1.8.2 dated 2015-07-01 and 1.8.3 dated 2015-08-26

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More information about sjPlot at CRAN
Permanent link

Package sjmisc updated to version 1.1 with previous version 1.0.3 dated 2015-06-20

Title: Data Transformation and Labelled Data Utility Functions
Description: Collection of miscellaneous utility functions (especially intended for people coming from other statistical software packages like 'SPSS', and/or who are new to R), supporting following common tasks: 1) Reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata' and working with labelled data; this includes easy ways to get and set label attributes, to convert labelled vectors into factors (and vice versa), or to deal with multiple declared missing values etc. 2) Data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. 3) Convenient functions to perform frequently used statistical tests, or to calculate various commonly used statistical coefficients.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjmisc versions 1.0.3 dated 2015-06-20 and 1.1 dated 2015-08-26

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More information about sjmisc at CRAN
Permanent link

Package sisVIVE updated to version 1.2 with previous version 1.1 dated 2015-05-05

Title: Some Invalid Some Valid Instrumental Variables Estimator
Description: Selects invalid instruments amongst a candidate of potentially bad instruments. The algorithm selects potentially invalid instruments and provides an estimate of the causal effect between exposure and outcome.
Author: Hyunseung Kang <hskang@stanford.edu>
Maintainer: Hyunseung Kang <hskang@stanford.edu>

Diff between sisVIVE versions 1.1 dated 2015-05-05 and 1.2 dated 2015-08-26

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Package SDDE updated to version 1.0.1 with previous version 1.0.0 dated 2015-03-06

Title: Shortcuts, Detours and Dead Ends (SDDE) Path Types in Genome Similarity Networks
Description: Compares the evolution of an original network X to an augmented network Y by counting the number of Shortcuts, Detours, Dead Ends (SDDE), equal paths and disconnected nodes.
Author: Etienne Lord, Margaux Le Cam, Eric Bapteste, Vladimir Makarenkov and Francois-Joseph Lapointe
Maintainer: Etienne Lord <m.etienne.lord@gmail.com>

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Package Rfit updated to version 0.22.0 with previous version 0.21 dated 2014-11-07

Title: Rank Estimation for Linear Models
Description: R estimation and inference for linear models. Estimation is for general scores and a library of commonly used score functions is included.
Author: John Kloke, Joseph McKean
Maintainer: John Kloke <kloke@biostat.wisc.edu>

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Package multiway updated to version 1.0-1 with previous version 1.0-0 dated 2015-04-15

Title: Component Models for Multi-Way Data
Description: Fits multi-way component models via alternating least squares algorithms with optional constraints (orthogonality and non-negativity). Fit models include Individual Differences Scaling, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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New package ldamatch with initial version 0.6.3
Package: ldamatch
Title: Multivariate Condition Matching by Backwards Elimination Using Linear Discriminant Analysis
Version: 0.6.3
Authors@R: c(person("Kyle", "Gorman", email = "kylebgorman@gmail.com", role = c("aut", "cre")), person("Geza", "Kiss", email = "kiss@ohsu.edu", role = c("ctb")))
Description: Performs group matching by backward elimination using linear discriminant analysis.
Depends: R (>= 3.0.0)
License: MIT + file LICENSE
LazyData: true
Suggests: knitr
VignetteBuilder: knitr
Imports: RUnit, data.table, foreach, kSamples, MASS, entropy, iterators, iterpc
NeedsCompilation: no
Packaged: 2015-08-26 11:47:34 UTC; kgorman
Author: Kyle Gorman [aut, cre], Geza Kiss [ctb]
Maintainer: Kyle Gorman <kylebgorman@gmail.com>
Repository: CRAN
Date/Publication: 2015-08-27 01:04:08

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Package googleVis updated to version 0.5.10 with previous version 0.5.9 dated 2015-07-04

Title: R Interface to Google Charts
Description: R interface to Google Charts API, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with Internet connection is required and for some charts a Flash player. The data remains local and is not uploaded to Google.
Author: Markus Gesmann [aut, cre], Diego de Castillo [aut], Joe Cheng [ctb]
Maintainer: Markus Gesmann <markus.gesmann@googlemail.com>

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New package generator with initial version 0.1.0
Package: generator
Title: Generate Data Containing Fake Personally Identifiable Information
Version: 0.1.0
Description: Allows users to quickly and easily generate fake data containing Personally Identifiable Information (PII) through convenience functions.
Authors@R: person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", c("aut", "cre"))
URL: https://github.com/paulhendricks/generator
BugReports: https://github.com/paulhendricks/generator/issues
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: true
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-08-26 15:43:39 UTC; phendricks
Author: Paul Hendricks [aut, cre]
Maintainer: Paul Hendricks <paul.hendricks.2013@owu.edu>
Repository: CRAN
Date/Publication: 2015-08-26 23:11:56

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Package FCNN4R updated to version 0.4.1 with previous version 0.4.0 dated 2015-08-26

Title: Fast Compressed Neural Networks for R
Description: The FCNN4R package provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons).
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>

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Package choroplethr updated to version 3.2.0 with previous version 3.1.0 dated 2015-05-05

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. Please see the vignettes for more details.
Author: Ari Lamstein <arilamstein@gmail.com>[cre, aut], Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
Maintainer: Ari Lamstein <arilamstein@gmail.com>

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Package Wats updated to version 0.10.1 with previous version 0.2-16 dated 2014-05-21

Title: Wrap Around Time Series Graphics
Description: Wrap-around Time Series (WATS) plots for interrupted time series designs with seasonal patterns.
Author: Will Beasley [aut, cre], Joe Rodgers [aut], Matthew Schuelke [ctb], Ronnie Coleman [ctb], Mark Joseph Lachowicz [ctb]
Maintainer: Will Beasley <wibeasley@hotmail.com>

Diff between Wats versions 0.2-16 dated 2014-05-21 and 0.10.1 dated 2015-08-26

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 Wats-0.10.1/Wats/NEWS                                                                         |    7 
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Package rtkpp updated to version 0.9.2 with previous version 0.8.6 dated 2015-03-11

Title: STK++ Integration to R using Rcpp
Description: STK++ (http://www.stkpp.org) is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. The integration of the library to R is using Rcpp. The rtkpp package includes the header files from the STK++ library (currently version 0.8.99). Thus users do not need to install STK++ itself in order to use it. STK++ is licensed under the GNU LGPL version 2 or later. rtkpp (the stkpp integration into R) is licensed under the GNU GPL version 2 or later.
Author: Serge Iovleff [aut, cre], Vincent Kubicki [ctb], Quentin Grimonprez [ctb], Parmeet Bhatia [ctb]
Maintainer: Serge Iovleff <serge.iovleff@stkpp.org>

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 rtkpp-0.8.6/rtkpp/inst/projects/Clustering/include/KernelMixtureModels/STK_KernelGaussianParameters.h         |only
 rtkpp-0.8.6/rtkpp/inst/projects/Clustering/include/KernelMixtureModels/STK_KernelMixtureBridge.h              |only
 rtkpp-0.8.6/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_PoissonParameters.h               |only
 rtkpp-0.8.6/rtkpp/inst/projects/Clustering/src/STK_IMixtureManager.cpp                                        |only
 rtkpp-0.8.6/rtkpp/inst/projects/Clustering/src/makevars.local                                                 |only
 rtkpp-0.8.6/rtkpp/inst/projects/DManager/src/STK_ExportToCsv.cpp                                              |only
 rtkpp-0.8.6/rtkpp/inst/projects/DManager/src/STK_IDataHandler.cpp                                             |only
 rtkpp-0.8.6/rtkpp/inst/projects/Reduct/include/STK_IReduct.h                                                  |only
 rtkpp-0.8.6/rtkpp/inst/projects/Reduct/src/STK_ILinearReduct.cpp                                              |only
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 rtkpp-0.8.6/rtkpp/inst/projects/Regress/src/STK_AdditiveBSplineRegression.cpp                                 |only
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 rtkpp-0.8.6/rtkpp/inst/projects/Regress/src/STK_MultidimRegression.cpp                                        |only
 rtkpp-0.8.6/rtkpp/inst/projects/Rtkpp/include/STK_ClusterFacade.h                                             |only
 rtkpp-0.8.6/rtkpp/inst/projects/Rtkpp/include/STK_ClusterLauncher.h                                           |only
 rtkpp-0.8.6/rtkpp/inst/projects/Rtkpp/include/STK_RDataHandler.h                                              |only
 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/include/STK_Global.h                                                 |only
 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/src/STK_Binary.cpp                                                   |only
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 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/src/STK_Global.cpp                                                   |only
 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/src/STK_Integer.cpp                                                  |only
 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/src/STK_Range.cpp                                                    |only
 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/src/STK_Real.cpp                                                     |only
 rtkpp-0.8.6/rtkpp/inst/projects/STKernel/src/STK_Sign.cpp                                                     |only
 rtkpp-0.8.6/rtkpp/inst/projects/STatistiK/include/STK_Law_IMultiLaw.h                                         |only
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 rtkpp-0.8.6/rtkpp/inst/projects/STatistiK/include/STK_Law_JointNormal.h                                       |only
 rtkpp-0.8.6/rtkpp/inst/projects/STatistiK/include/STK_Law_MultiNormal.h                                       |only
 rtkpp-0.8.6/rtkpp/inst/projects/STatistiK/src/STK_Law_Bernoulli.cpp                                           |only
 rtkpp-0.8.6/rtkpp/inst/projects/STatistiK/src/STK_Law_Categorical.cpp                                         |only
 rtkpp-0.8.6/rtkpp/inst/projects/STatistiK/src/STK_Law_Uniform.cpp                                             |only
 rtkpp-0.8.6/rtkpp/inst/projects/StatModels/src/STK_GaussianModel.cpp                                          |only
 rtkpp-0.8.6/rtkpp/inst/projects/StatModels/src/STK_IGaussianModel.cpp                                         |only
 rtkpp-0.9.2/rtkpp/DESCRIPTION                                                                                 |   12 
 rtkpp-0.9.2/rtkpp/MD5                                                                                         |  549 ++--
 rtkpp-0.9.2/rtkpp/R/rtkppFlags.R                                                                              |    9 
 rtkpp-0.9.2/rtkpp/build/vignette.rds                                                                          |binary
 rtkpp-0.9.2/rtkpp/cleanup                                                                                     |    2 
 rtkpp-0.9.2/rtkpp/inst/NEWS.Rd                                                                                |   18 
 rtkpp-0.9.2/rtkpp/inst/doc/rtkpp-introduction.R                                                               |    2 
 rtkpp-0.9.2/rtkpp/inst/doc/rtkpp-introduction.Rnw                                                             |   96 
 rtkpp-0.9.2/rtkpp/inst/doc/rtkpp-introduction.pdf                                                             |binary
 rtkpp-0.9.2/rtkpp/inst/include/Algebra.h                                                                      |   18 
 rtkpp-0.9.2/rtkpp/inst/include/Analysis.h                                                                     |    2 
 rtkpp-0.9.2/rtkpp/inst/include/Arrays.h                                                                       |   11 
 rtkpp-0.9.2/rtkpp/inst/include/Clustering.h                                                                   |   70 
 rtkpp-0.9.2/rtkpp/inst/include/DManager.h                                                                     |    4 
 rtkpp-0.9.2/rtkpp/inst/include/RTKpp.h                                                                        |    4 
 rtkpp-0.9.2/rtkpp/inst/include/RTKppForward.h                                                                 |    1 
 rtkpp-0.9.2/rtkpp/inst/include/Reduct.h                                                                       |    4 
 rtkpp-0.9.2/rtkpp/inst/include/STKpp.h                                                                        |    6 
 rtkpp-0.9.2/rtkpp/inst/include/STatistiK.h                                                                    |   86 
 rtkpp-0.9.2/rtkpp/inst/makefile                                                                               |  466 +--
 rtkpp-0.9.2/rtkpp/inst/projects/AAModels/include/STK_GaussianAAModel.h                                        |  215 +
 rtkpp-0.9.2/rtkpp/inst/projects/AAModels/include/STK_IAAModel.h                                               |  410 ++-
 rtkpp-0.9.2/rtkpp/inst/projects/AAModels/include/STK_LinearAAModel.h                                          |  235 +
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_Algebra_Util.h                                            |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_CG.h                                                      |  135 -
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_GinvSymmetric.h                                           |    7 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_Givens.h                                                  |    4 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_Householder.h                                             |    2 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_ILeastSquare.h                                            |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_IQr.h                                                     |  118 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_ISvd.h                                                    |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_ISymEigen.h                                               |  106 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_MultiLeastSquare.h                                        |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_Qr.h                                                      |   80 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_Svd.h                                                     |  722 ++++-
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_SymEigen.h                                                |  340 ++
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_WeightedSvd.h                                             |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_lapack_MultiLeastSquare.h                                 |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_lapack_Qr.h                                               |   70 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_lapack_Svd.h                                              |only
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/include/STK_lapack_SymEigen.h                                         |  323 +-
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/src/STK_lapack_Qr.cpp                                                 |   85 
 rtkpp-0.9.2/rtkpp/inst/projects/Algebra/src/STK_lapack_Svd.cpp                                                |only
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/include/STK_Funct_Util.h                                             |    9 
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/include/STK_Funct_betaRatio.h                                        |   20 
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/include/STK_Funct_raw.h                                              |  123 -
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_b1.cpp                                                 |only
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_betaRatio.cpp                                          |   70 
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_beta_raw.cpp                                           |only
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_binomial_raw.cpp                                       |only
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_gamma.cpp                                              |    8 
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_gammaRatio.cpp                                         |    1 
 rtkpp-0.9.2/rtkpp/inst/projects/Analysis/src/STK_Funct_poisson_raw.cpp                                        |   12 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_AllocatorBase.h                                            |  246 +-
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array1D.h                                                  |   93 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2D.h                                                  |   18 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DDiagonal.h                                          |   20 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DLowerTriangular.h                                   |   14 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DNumber.h                                            |    9 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DPoint.h                                             |   12 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DSquare.h                                            |   18 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DUpperTriangular.h                                   |   14 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2DVector.h                                            |   18 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Array2D_Functors.h                                         |   48 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ArrayBase.h                                                |  259 +-
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ArrayBaseApplier.h                                         |   20 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ArrayBaseAssign.h                                          |  354 +-
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ArrayBaseInitializer.h                                     |    8 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Arrays_Util.h                                              |   32 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_CAllocator.h                                               | 1211 +++-------
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_CArray.h                                                   |   49 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_CArrayNumber.h                                             |   34 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_CArrayPoint.h                                              |   55 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_CArraySquare.h                                             |   38 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_CArrayVector.h                                             |   54 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Const_Arrays.h                                             |  121 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_Display.h                                                  |   38 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ExprBase.h                                                 |  115 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ExprBaseDot.h                                              |   13 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ExprBaseFunctors.h                                         |   12 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ExprBaseProduct.h                                          |    8 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ExprBaseVisitor.h                                          |  134 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_IArray1D.h                                                 |   76 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_IArray2D.h                                                 |   38 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_IArray2DBase.h                                             |  104 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ICArray.h                                                  |  208 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_IContainerRef.h                                            |   14 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ITContainer.h                                              |  142 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ITContainer1D.h                                            |  165 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_ITContainer2D.h                                            |only
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/STK_SparseMatrix.h                                             |only
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/operators/STK_BinaryOperators.h                                |   27 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/operators/STK_DiagonalOperator.h                               |  146 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/operators/STK_DotOperators.h                                   |   18 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/operators/STK_SlicingOperators.h                               |  263 --
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/operators/STK_TransposeOperator.h                              |   55 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/operators/STK_UnaryOperators.h                                 |   77 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/products/STK_ArrayByArrayProduct.h                             |  394 +--
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/products/STK_ArrayByVectorProduct.h                            |  181 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/products/STK_ProductDispatcher.h                               |only
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/products/STK_ProductOperators.h                                |  129 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/products/STK_ProductRaw.h                                      |only
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/visitors/STK_SlicingVisitors.h                                 |   58 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/visitors/STK_VisitorSelector.h                                 |    2 
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/visitors/STK_Visitors.h                                        |  142 -
 rtkpp-0.9.2/rtkpp/inst/projects/Arrays/include/visitors/STK_VisitorsImpl.h                                    |   54 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/CategoricalMixtureModels/STK_CategoricalBase.h             |  138 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/CategoricalMixtureModels/STK_CategoricalBridge.h           |   72 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/CategoricalMixtureModels/STK_CategoricalMixtureManager.h   |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/CategoricalMixtureModels/STK_Categorical_pjk.h             |  130 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/CategoricalMixtureModels/STK_Categorical_pk.h              |  112 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_DiagGaussianBase.h           |  115 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_DiagGaussianBridge.h         |   97 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_DiagGaussianMixtureManager.h |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_Gaussian_s.h                 |  158 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_Gaussian_sj.h                |  159 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_Gaussian_sjk.h               |  114 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/DiagGaussianMixtureModels/STK_Gaussian_sk.h                |  121 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_GammaBase.h                         |  190 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_GammaBridge.h                       |  187 +
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_GammaMixtureManager.h               |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_a_bjk.h                       |  175 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_a_bk.h                        |  178 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_aj_bjk.h                      |  180 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_aj_bk.h                       |  179 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ajk_b.h                       |  182 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ajk_bj.h                      |  185 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ajk_bjk.h                     |  141 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ajk_bk.h                      |  135 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ak_b.h                        |  172 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ak_bj.h                       |  184 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ak_bjk.h                      |  128 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/GammaMixtureModels/STK_Gamma_ak_bk.h                       |  127 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/KernelMixtureModels/STK_KernelGaussian.h                   |  361 ++
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/KernelMixtureModels/STK_KernelGaussianBridge.h             |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/KernelMixtureModels/STK_KernelMixtureManager.h             |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_PoissonBase.h                     |   94 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_PoissonBridge.h                   |   78 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_PoissonMixtureManager.h           |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_Poisson_ljk.h                     |  105 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_Poisson_ljlk.h                    |  138 -
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/PoissonMixtureModels/STK_Poisson_lk.h                      |   98 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_Clust_Util.h                                           |   82 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_IMixture.h                                             |   12 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_IMixtureBridge.h                                       |   70 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_IMixtureManager.h                                      |  188 +
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_IMixtureModel.h                                        |  120 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_MixtureAlgo.h                                          |  104 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_MixtureComposer.h                                      |   87 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_MixtureInit.h                                          |    2 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_MixtureManager.h                                       |  226 +
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_MixtureParameters.h                                    |only
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/include/STK_MixtureStrategy.h                                      |    5 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/src/STK_Clust_Util.cpp                                             |   20 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/src/STK_IMixture.cpp                                               |    2 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/src/STK_IMixtureComposer.cpp                                       |    8 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/src/STK_MixtureAlgo.cpp                                            |  283 +-
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/src/STK_MixtureComposer.cpp                                        |   35 
 rtkpp-0.9.2/rtkpp/inst/projects/Clustering/src/STK_MixtureStrategy.cpp                                        |  201 +
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_Cell.h                                                   |    4 
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_DataFrame.h                                              |   39 
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_DataHandler.h                                            |   63 
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_DataHandlerBase.h                                        |only
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_ExportToCsv.h                                            |  222 +
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_IDataHandler.h                                           |   45 
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_IVariable.h                                              |    2 
 rtkpp-0.9.2/rtkpp/inst/projects/DManager/include/STK_List1D.h                                                 |   38 
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Package profileR updated to version 0.3 with previous version 0.2-1 dated 2013-12-20

Title: Profile Analysis of Multivariate Data in R
Description: Fit profile analytic models. This includes multivariate methods and data visualization tools to implement profile analysis and cross-validation techniques described in Davison & Davenport (2002) and Bulut (2013).
Author: Okan Bulut <okanbulut84@gmail.com>, Christopher David Desjardins <cddesjardins@gmail.com>,
Maintainer: Christopher David Desjardins <cddesjardins@gmail.com>

Diff between profileR versions 0.2-1 dated 2013-12-20 and 0.3 dated 2015-08-26

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Package LINselect updated to version 0.0-2 with previous version 0.0-1 dated 2013-12-20

Title: Selection of Linear Estimators
Description: Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
Author: Yannick Baraud, Christophe Giraud, Sylvie Huet
Maintainer: Annie Bouvier <Annie.Bouvier@jouy.inra.fr>

Diff between LINselect versions 0.0-1 dated 2013-12-20 and 0.0-2 dated 2015-08-26

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Package ArArRedux updated to version 0.2 with previous version 0.1 dated 2015-04-29

Title: Rigorous Data Reduction and Error Propagation of Ar40 / Ar39 Data
Description: Processes noble gas mass spectrometer data to determine the isotopic composition of argon (comprised of Ar36, Ar37, Ar38, Ar39 and Ar40) released from neutron-irradiated potassium-bearing minerals. Then uses these compositions to calculate precise and accurate geochronological ages for multiple samples as well as the covariances between them. Error propagation is done in matrix form, which jointly treats all samples and all isotopes simultaneously at every step of the data reduction process. Includes methods for regression of the time-resolved mass spectrometer signals to t=0 ('time zero') for both single- and multi-collector instruments, blank correction, mass fractionation correction, detector intercalibration, decay corrections, interference corrections, interpolation of the irradiation parameter between neutron fluence monitors, and (weighted mean) age calculation. All operations are performed on the logs of the ratios between the different argon isotopes so as to properly treat them as 'compositional data', sensu Aitchison [1986, The Statistics of Compositional Data, Chapman and Hall].
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package Anthropometry updated to version 1.3 with previous version 1.2 dated 2015-05-14

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis.
Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

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Package PReMiuM updated to version 3.1.2 with previous version 3.1.1 dated 2015-06-12

Title: Dirichlet Process Bayesian Clustering, Profile Regression
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection.
Author: David I. Hastie <david.hastie@rsimony.com>, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson <sylvia.richardson@mrc-bsu.cam.ac.uk> with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi
Maintainer: Silvia Liverani <liveranis@gmail.com>

Diff between PReMiuM versions 3.1.1 dated 2015-06-12 and 3.1.2 dated 2015-08-26

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New package ms.sev with initial version 1.0
Package: ms.sev
Type: Package
Title: Package for Calculation of ARMSS, Local MSSS and Global MSSS
Version: 1.0
Date: 2015-08-25
Author: Helga Westerlind, Ali Manouchehrinia
Maintainer: Helga Westerlind <Helga.Westerlind@ki.se>
Description: Calculates ARMSS, age related multiple sclerosis severity score, and both local and global msss.
License: GPL-2
Packaged: 2015-08-26 13:04:49 UTC; hewest
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-26 16:43:37

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Package mapmisc updated to version 1.4.0 with previous version 1.3.2 dated 2015-07-16

Title: Utilities for Producing Maps
Description: A minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections.
Author: Patrick Brown <patrick.brown@utoronto.ca>
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between mapmisc versions 1.3.2 dated 2015-07-16 and 1.4.0 dated 2015-08-26

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Package lasvmR updated to version 0.1.1 with previous version 0.1 dated 2015-08-21

Title: A Simple Wrapper for the LASVM Solver
Description: This is a simple wrapper for the LASVM Solver (see http://leon.bottou.org/projects/lasvm). LASVM is basically an online variant of the SMO solver.
Author: Aydin Demircioglu
Maintainer: Aydin Demircioglu <aydin.demircioglu@ini.rub.de>

Diff between lasvmR versions 0.1 dated 2015-08-21 and 0.1.1 dated 2015-08-26

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Package GGMselect updated to version 0.1-10 with previous version 0.1-9 dated 2014-09-10

Title: Gaussian Graphs Models Selection
Description: Graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Author: Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen N.
Maintainer: Annie Bouvier <Annie.Bouvier@jouy.inra.fr>

Diff between GGMselect versions 0.1-9 dated 2014-09-10 and 0.1-10 dated 2015-08-26

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Package FastBandChol updated to version 0.1.1 with previous version 0.1.0 dated 2015-08-24

Title: Fast Estimation of a Covariance Matrix by Banding the Cholesky Factor
Description: Fast and numerically stable estimation of a covariance matrix by banding the Cholesky factor using a modified Gram-Schmidt algorithm implemented in RcppArmadilo. See <http://stat.umn.edu/~molst029> for details on the algorithm.
Author: Aaron Molstad <molst029@umn.edu>
Maintainer: Aaron Molstad <molst029@umn.edu>

Diff between FastBandChol versions 0.1.0 dated 2015-08-24 and 0.1.1 dated 2015-08-26

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New package SurvRank with initial version 0.1
Package: SurvRank
Title: Rank Based Survival Modelling
Version: 0.1
Authors@R: c(person("Michael", "Laimighofer", role = c("aut", "cre","ctb"), email = "michael.laimighofer@helmholtz-muenchen.de") )
Author: Michael Laimighofer [aut, cre, ctb]
Maintainer: Michael Laimighofer <michael.laimighofer@helmholtz-muenchen.de>
Description: Estimation of the prediction accuracy in a unified survival AUC approach. Model selection and prediction estimation based on a survival AUC. Stepwise model selection, based on several ranking approaches.
License: GPL-2
Depends: R (>= 3.0.0), survival(>= 2.37-6), foreach(>= 1.0.11)
Imports: ipred(>= 0.9-3), sampling(>= 2.6), glmnet(>= 1.9-8), utils(>= 3.1.0), survAUC(>= 1.0-5), randomForestSRC(>= 1.5.4), ggplot2(>= 1.0.0), reshape(>= 0.8), gplots(>= 2.16.0), mboost(>= 2.3-0), parallel(>= 3.2.0), doParallel(>= 1.0.8), rpart(>= 4.1-8)
LazyData: true
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-08-26 09:57:55 UTC; michael.laimighofer
Repository: CRAN
Date/Publication: 2015-08-26 14:22:13

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Package RSAGA updated to version 0.94-3 with previous version 0.94-1 dated 2015-06-03

Title: SAGA Geoprocessing and Terrain Analysis in R
Description: Provides access to geocomputing and terrain analysis functions of the geographical information system (GIS) 'SAGA' (System for Automated Geoscientific Analyses) from within R by running the command line version of SAGA. This package furthermore provides several R functions for handling ASCII grids, including a flexible framework for applying local functions (including predict methods of fitted models) and focal functions to multiple grids. SAGA GIS is available under GPLv2 / LGPLv2 licence from http://sourceforge.net/projects/saga-gis/.
Author: Alexander Brenning and Donovan Bangs
Maintainer: Alexander Brenning <alexander.brenning@uni-jena.de>

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Package REDCapR updated to version 0.9.3 with previous version 0.9.0 dated 2015-08-15

Title: Interaction Between R and REDCap
Description: Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Author: Will Beasley [aut, cre], David Bard [ctb], Thomas Wilson [ctb], John J Aponte [ctb], Rollie Parrish [ctb], Benjamin Nutter [ctb], Andrew Peters [ctb]
Maintainer: Will Beasley <wibeasley@hotmail.com>

Diff between REDCapR versions 0.9.0 dated 2015-08-15 and 0.9.3 dated 2015-08-26

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 REDCapR-0.9.3/REDCapR/tests/test-all.R                                                     |   10 
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More information about REDCapR at CRAN
Permanent link

Package RcmdrPlugin.EZR updated to version 1.30 with previous version 1.29 dated 2015-07-08

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

Diff between RcmdrPlugin.EZR versions 1.29 dated 2015-07-08 and 1.30 dated 2015-08-26

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Package PowerTOST updated to version 1.2-09 with previous version 1.2-08 dated 2015-07-10

Title: Power and Sample Size Based on Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies
Description: Contains functions to calculate power and sample size for various study designs used for bioequivalence studies. See function known.designs() for study designs covered. Moreover the package contains functions for power and sample size based on 'expected' power in case of uncertain (estimated) variability. ----- Added are functions for the power and sample size for the ratio of two means with normally distributed data on the original scale (based on Fieller's confidence ('fiducial') interval). ----- Contains further functions for power and sample size calculations based on non-inferiority t-test. This is not a TOST procedure but eventually useful if the question of 'non-superiority' must be evaluated. The power and sample size calculations based on non-inferiority test may also performed via 'expected' power in case of uncertain (estimated) variability. ----- Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits (EMA recommended) based on simulations. Contains further functions power.RSABE() and sampleN.RSABE() to calculate power and sample size for the BE decision via reference scaled ABE criterion according to the FDA procedure based on simulations. Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate power and sample size for the BE decision via the FDA procedure for NTID's based on simulations. ----- Contains functions for power analysis of a sample size plan for ABE (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing power if deviating from assumptions of the plan. ----- Contains further functions for power calculations / sample size estimation for dose proportionality studies using the Power model.
Author: Detlew Labes [aut, cre], Helmut Schuetz [aut], Benjamin Lang [ctb]
Maintainer: Detlew Labes <DetlewLabes@gmx.de>

Diff between PowerTOST versions 1.2-08 dated 2015-07-10 and 1.2-09 dated 2015-08-26

 DESCRIPTION           |    8 ++---
 MD5                   |   27 ++++++++++--------
 NAMESPACE             |    5 ++-
 NEWS                  |   11 +++++++
 R/Fieller.R           |    4 ++
 R/OwensQ.R            |    4 +-
 R/OwensQOwen.R        |   46 +++++++++++++++++--------------
 R/SampleSize.R        |    6 ++--
 R/power.R             |   74 +++++++++++++++++++++++++++++++++++++++++---------
 R/power_PASS.R        |only
 R/power_TOST_sim.R    |only
 R/samplesize_scABEL.R |   20 ++++++-------
 man/power.TOST.Rd     |   27 +++++++++++-------
 man/power.TOST.sim.Rd |only
 man/power.dp.Rd       |    3 +-
 man/sampleN.TOST.Rd   |   14 ++++++---
 16 files changed, 166 insertions(+), 83 deletions(-)

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Permanent link

Package mixor updated to version 1.0.3 with previous version 1.0.2 dated 2015-01-13

Title: Mixed-Effects Ordinal Regression Analysis
Description: Provides the function 'mixord' for fitting a mixed-effects ordinal and binary response models and associated methods for printing, summarizing, extracting estimated coefficients and variance-covariance matrix, and estimating contrasts for the fitted models.
Author: Donald Hedeker <DHedeker@health.bsd.uchicago.edu>, Kellie J. Archer, Rachel Nordgren, Robert D. Gibbons
Maintainer: Kellie J. Archer <kjarcher@vcu.edu>

Diff between mixor versions 1.0.2 dated 2015-01-13 and 1.0.3 dated 2015-08-26

 DESCRIPTION                |   10 -
 MD5                        |   77 +++++++------
 NAMESPACE                  |   17 ++-
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 data/concen.rda            |binary
 data/irt.data.rda          |binary
 data/norcag.rda            |binary
 data/schizophrenia.rda     |binary
 inst/doc/mixor.R           |  153 ++++++++++++++++-----------
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 man/SmokeOnset.Rd          |   36 ++----
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 vignettes/mixor.Rnw        |  255 +++++++++++++++++++++++++++------------------
 vignettes/mixor.bib        |   27 ++--
 46 files changed, 586 insertions(+), 746 deletions(-)

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Package MCDA updated to version 0.0.11 with previous version 0.0.10 dated 2015-06-16

Title: Functions to Support the Multicriteria Decision Aiding Process
Description: Functions which can be useful to support the analyst in the Multicriteria Decision Aiding (MCDA) process involving multiple, conflicting criteria.
Author: Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu
Maintainer: Patrick Meyer <patrick.meyer@telecom-bretagne.eu>

Diff between MCDA versions 0.0.10 dated 2015-06-16 and 0.0.11 dated 2015-08-26

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 MCDA-0.0.11/MCDA/DESCRIPTION                                                       |   10 
 MCDA-0.0.11/MCDA/MD5                                                               |  114 ++
 MCDA-0.0.11/MCDA/NAMESPACE                                                         |   10 
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 MCDA-0.0.11/MCDA/R/MRSort.R                                                        |   10 
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 MCDA-0.0.11/MCDA/README                                                            |    7 
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 MCDA-0.0.11/MCDA/man/LPDMRSort.Rd                                                  |only
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 MCDA-0.0.11/MCDA/man/MRSort.Rd                                                     |   34 
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 106 files changed, 484 insertions(+), 345 deletions(-)

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New package LightningR with initial version 1.0.1
Package: LightningR
Type: Package
Title: Tools for Communication with Lightning-Viz Server
Version: 1.0.1
Date: 2015-08-14
Author: Ermlab
Maintainer: Kolodziejski Kamil <kolodziejski.kamil@hotmail.com>
Description: The purpose of this package is to enable usage of lightningviz server to be accessible from R. The server itself can be found at http://lightning-viz.org/ and is required to work with this package. Package by itself cannot and will not create any visualizations.
License: MIT + file LICENSE
Depends: RJSONIO, RCurl, R6, httr
URL: https://github.com/Ermlab/lightining-rstat/
BugReports: https://github.com/Ermlab/lightining-rstat/issues
NeedsCompilation: no
Packaged: 2015-08-26 06:20:27 UTC; kamil
Repository: CRAN
Date/Publication: 2015-08-26 14:12:51

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New package Langevin with initial version 1.0.3
Package: Langevin
Type: Package
Title: Langevin Analysis in One and Two Dimensions
Version: 1.0.3
Date: 2015-08-26
Authors@R: c(person('David', 'Bastine', role='ctb'), person('Pedro G.', 'Lind', role='aut'), person('Philip', 'Rinn', email='philip.rinn@uni-oldenburg.de', role=c('aut','cre')))
Description: Estimate drift and diffusion functions from time series and generate synthetic time series from given drift and diffusion coefficients.
Encoding: UTF-8
License: GPL (>= 2)
LazyLoad: yes
ByteCompile: yes
NeedsCompilation: yes
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, RcppArmadillo (>= 0.4.600.0)
Packaged: 2015-08-26 10:31:55 UTC; philip
Author: David Bastine [ctb], Pedro G. Lind [aut], Philip Rinn [aut, cre]
Maintainer: Philip Rinn <philip.rinn@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2015-08-26 14:40:25

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New package ioncopy with initial version 1.0
Package: ioncopy
Type: Package
Title: Calling Copy Number Alterations in Amplicon Sequencing Data
Version: 1.0
Date: 2015-08-25
Author: Jan Budczies
Maintainer: Jan Budczies <jan.budczies@charite.de>
Imports: stats, multtest
Description: Method for the calculation of copy numbers and calling of copy number alterations. The algorithm uses coverage data from amplicon sequencing of a sample cohort as input. The method includes significance assessment, correction for multiple testing and does not depend on normal DNA controls.
License: GPL-3
Packaged: 2015-08-26 10:08:21 UTC; jbudczie
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-26 14:53:52

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New package imager with initial version 0.13
Package: imager
Type: Package
Title: Image Processing Library Based on CImg
Version: 0.13
Date: 2015-08-25
Author: Simon Barthelme [aut, cre], Antoine Cecchi [ctb]
Authors@R: c(person("Simon","Barthelme",email="simon.barthelme@gipsa-lab.fr",role=c("aut","cre")), person("Antoine","Cecchi",email="antoine.cecchi@phelma.grenoble-inp.fr",role="ctb"))
Maintainer: Simon Barthelme <simon.barthelme@gipsa-lab.fr>
Description: Fast image processing for images in up to 4 dimensions (two spatial dimensions, one time/depth dimension, one colour dimension). Provides most traditional image processing tools (filtering, morphology, transformations, etc.) as well as various functions for easily analysing image data using R.
License: LGPL
Imports: Rcpp (>= 0.11.5)
Depends: R (>= 2.10.0),plyr,magrittr,stringr,grDevices,png,jpeg
SystemRequirements: fftw3
Enhances: spatstat
LinkingTo: Rcpp
LazyData: true
Packaged: 2015-08-26 07:10:20 UTC; barthesi
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-08-26 14:43:02

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Package hpoPlot updated to version 2.2 with previous version 2.0 dated 2015-01-12

Title: Functions for Plotting HPO Terms
Description: Collection of functions for manipulating sets of HPO terms and plotting them with a various options.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

Diff between hpoPlot versions 2.0 dated 2015-01-12 and 2.2 dated 2015-08-26

 DESCRIPTION                                      |   12 
 MD5                                              |  122 +++----
 NAMESPACE                                        |    7 
 R/graphs.R                                       |   37 +-
 R/sets.R                                         |   15 
 build/vignette.rds                               |binary
 data/hpo.terms.RData                             |binary
 data/mpo.terms.RData                             |binary
 data/mpo.to.hpo.RData                            |binary
 inst/doc/hpoPlot-guide.Rmd                       |    2 
 inst/doc/hpoPlot-guide.html                      |  360 ++++++++++++++++-------
 man/apply.term.filters.Rd                        |    2 
 man/calibrate.sizes.Rd                           |    2 
 man/clean.terms.Rd                               |    2 
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 man/get.hpo.graph.Rd                             |    2 
 man/get.hpo.terms.Rd                             |    2 
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 man/get.mpo.to.hpo.Rd                            |    2 
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 man/hpo.terms.Rd                                 |    2 
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 man/mpo.terms.Rd                                 |    2 
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 man/prune.branch.Rd                              |    2 
 man/remove.links.Rd                              |    2 
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 man/setDimNames.Rd                               |    2 
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Package glmmLasso updated to version 1.3.5 with previous version 1.3.4 dated 2015-04-30

Title: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation
Description: A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided.
Author: Andreas Groll
Maintainer: Andreas Groll <groll@mathematik.uni-muenchen.de>

Diff between glmmLasso versions 1.3.4 dated 2015-04-30 and 1.3.5 dated 2015-08-26

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Package ctmm updated to version 0.2.8 with previous version 0.2.7 dated 2015-07-31

Title: Continuous-Time Movement Modeling
Description: Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.
Author: Chris H. Fleming and J. M. Calabrese
Maintainer: C. H. Fleming <flemingc@si.edu>

Diff between ctmm versions 0.2.7 dated 2015-07-31 and 0.2.8 dated 2015-08-26

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Package CARBayesST updated to version 2.1 with previous version 2.0 dated 2015-07-06

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial, Gaussian or Poisson. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) prior distributions. A number of different random effects structures are available, and full details are given in the vignette accompanying this package and the references below. The creation of this package was supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth and Gary Napier
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

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New package AF with initial version 0.1
Package: AF
Type: Package
Title: Model-Based Estimation of Confounder-Adjusted Attributable Fractions
Version: 0.1
Date: 2015-08-20
Author: Elisabeth Dahlqwist and Arvid Sjolander
Maintainer: Elisabeth Dahlqwist <elisabeth.dahlqwist@ki.se>
Description: Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design) and Cox proportional hazard regression (cohort design with time-to-event outcome). The variance of the estimator is obtained by combining the delta method with the the sandwich formula.
License: GPL-2 | GPL-3
LazyData: FALSE
Depends: stats, base, graphics, survival, drgee, R (>= 3.0.0)
NeedsCompilation: no
Packaged: 2015-08-26 12:26:41 UTC; elidah
Repository: CRAN
Date/Publication: 2015-08-26 14:57:32

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Package weatherr updated to version 0.1.1 with previous version 0.1 dated 2015-07-16

Title: Tools for Handling and Scrapping Instant Weather Forecast Feeds
Description: Handle instant weather forecasts and geographical information. It combines multiple sources of information to obtain instant weather forecasts.
Author: Stan Yip [aut, cre]
Maintainer: Stan Yip <stanyip101@gmail.com>

Diff between weatherr versions 0.1 dated 2015-07-16 and 0.1.1 dated 2015-08-26

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Package robustreg updated to version 0.1-9 with previous version 0.1-8 dated 2015-07-30

Title: Robust Regression Functions
Description: Linear regression functions using Huber and bisquare psi functions. Optimal weights are calculated using IRLS algorithm.
Author: Ian M. Johnson <ian@alpha-analysis.com>
Maintainer: Ian M. Johnson <ian@alpha-analysis.com>

Diff between robustreg versions 0.1-8 dated 2015-07-30 and 0.1-9 dated 2015-08-26

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New package lcopula with initial version 0.205
Package: lcopula
Type: Package
Title: Liouville Copulas
Version: 0.205
Date: 2015-08-23
Authors@R: c(person("Leo", "Belzile", role = c("aut", "cre"), email = "leo.belzile@epfl.ch"), person("Christian", " Genest", role = c("aut","ctb")), person("Alexander", "J. McNeil", role = c("ctb")), person("Johanna", "G. Neslehova", role = c("ctb")))
Description: Collections of functions allowing random number generations and estimation of Liouville copulas.
License: GPL-3
Imports: Rcpp (>= 0.11.4), pcaPP, utils, graphics, stats
Depends: copula (>= 0.999-12), R (>= 2.12.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2015-08-25 18:25:28 UTC; leo
Author: Leo Belzile [aut, cre], Christian Genest [aut, ctb], Alexander J. McNeil [ctb], Johanna G. Neslehova [ctb]
Maintainer: Leo Belzile <leo.belzile@epfl.ch>
Repository: CRAN
Date/Publication: 2015-08-26 08:39:24

More information about lcopula at CRAN
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Package gstat updated to version 1.0-26 with previous version 1.0-25 dated 2015-06-19

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.
Author: Edzer Pebesma [aut, cre], Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package gamlr updated to version 1.13-3 with previous version 1.13-2 dated 2015-08-18

Title: Gamma Lasso Regression
Description: The gamma lasso algorithm provides regularization paths corresponding to a range of non-convex cost functions between L0 and L1 norms. As much as possible, usage for this package is analogous to that for the glmnet package (which does the same thing for penalization between L1 and L2 norms). For details see: Taddy (2015), One-Step Estimator Paths for Concave Regularization, http://arxiv.org/abs/1308.5623.
Author: Matt Taddy <taddy@chicagobooth.edu>
Maintainer: Matt Taddy <taddy@chicagobooth.edu>

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Package FCNN4R updated to version 0.4.0 with previous version 0.3.4 dated 2015-07-25

Title: Fast Compressed Neural Networks for R
Description: The FCNN4R package provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons).
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>

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Package DLMtool updated to version 2.0 with previous version 1.35 dated 2015-05-20

Title: Data-Limited Methods Toolkit
Description: Simulation testing and implementation of data-limited fishery stock assessment methods.
Author: Tom Carruthers
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

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Tue, 25 Aug 2015

New package SACOBRA with initial version 0.7
Package: SACOBRA
Type: Package
Title: Self-Adjusting COBRA
Version: 0.7
Date: 2015-08-24
Author: Wolfgang Konen <wolfgang.konen@fh-koeln.de> [aut], Samineh Bagheri [cre, aut], Patrick Koch [aut]
Maintainer: Samineh Bagheri <samineh.bagheri@fh-koeln.de>
Description: Performs constrained optimization for expensive black-box problems.
License: GPL (>= 2)
Depends: R (>= 2.14.0),
Suggests: nloptr, FNN, MASS, dfoptim, DEoptim, lhs, rgl, grDevices, scales
Imports: testit, methods
Collate: 'cobraInit.R' 'cobraPhaseI.R' 'cobraPhaseII.R' 'defaultRI.R' 'defaultSAC.R' 'defaultTR.R' 'drawSurrogate3d.R' 'fnArchive.R' 'initialHjkb.R' 'isres2.R' 'multiRunPlot.R' 'multiCOBRA.R' 'nmkb2.R' 'RbfInter.R' 'repairChootinan.R' 'repairInfeasRI2.R' 'SACOBRA.R' 'startCobra.R' 'trustRegion.R'
NeedsCompilation: no
Packaged: 2015-08-25 14:26:21 UTC; bagheri
Repository: CRAN
Date/Publication: 2015-08-25 19:20:50

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Package qtl updated to version 1.37-11 with previous version 1.36-6 dated 2015-03-05

Title: Tools for Analyzing QTL Experiments
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
Author: Karl W Broman <kbroman@biostat.wisc.edu> and Hao Wu, with ideas from Gary Churchill and Saunak Sen and contributions from Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron Wolen, and Brian Yandell
Maintainer: Karl W Broman <kbroman@biostat.wisc.edu>

Diff between qtl versions 1.36-6 dated 2015-03-05 and 1.37-11 dated 2015-08-25

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Permanent link

New package optismixture with initial version 0.1
Package: optismixture
Title: Optimal Mixture Weights in Multiple Importance Sampling
Description: Code for optimal mixture weights in importance sampling. Workhorse functions penoptpersp() and penoptpersp.alpha.only() minimize estimated variances with and without control variates respectively. It can be used in adaptive mixture importance sampling, for example, function batch.estimation() does two stages, a pilot estimate of mixing alpha and a following importance sampling.
Version: 0.1
Author: Hera Y. He, Art B. Owen
Maintainer: Hera Y. He <yhe1@stanford.edu>
Depends: R (>= 3.0.2)
Imports: mvtnorm, Matrix
License: GPL-2
LazyData: true
Packaged: 2015-08-25 16:39:58 UTC; hera
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-25 19:20:56

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Package cgdsr updated to version 1.2.4 with previous version 1.2.3 dated 2015-08-19

Title: R-Based API for Accessing the MSKCC Cancer Genomics Data Server (CGDS)
Description: Provides a basic set of R functions for querying the Cancer Genomics Data Server (CGDS), hosted by the Computational Biology Center at Memorial-Sloan-Kettering Cancer Center (MSKCC).
Author: Anders Jacobsen <jacobsen@cbio.mskcc.org>
Maintainer: Augustin Luna <lunaa@cbio.mskcc.org>

Diff between cgdsr versions 1.2.3 dated 2015-08-19 and 1.2.4 dated 2015-08-25

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New package anonymizer with initial version 0.1.0
Package: anonymizer
Title: Anonymize Data Containing Personally Identifiable Information
Version: 0.1.0
Description: Allows users to quickly and easily anonymize data containing Personally Identifiable Information (PII) through convenience functions.
Authors@R: person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", c("aut", "cre"))
URL: https://github.com/paulhendricks/anonymizer
BugReports: https://github.com/paulhendricks/anonymizer/issues
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: true
Suggests: digest, testthat
NeedsCompilation: no
Packaged: 2015-08-25 16:51:31 UTC; phendricks
Author: Paul Hendricks [aut, cre]
Maintainer: Paul Hendricks <paul.hendricks.2013@owu.edu>
Repository: CRAN
Date/Publication: 2015-08-25 19:28:50

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Package sn updated to version 1.2-4 with previous version 1.2-3 dated 2015-07-16

Title: The Skew-Normal and Skew-t Distributions
Description: Define and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t family, and provide related statistical methods for data fitting and diagnostics, in the univariate and the multivariate case.
Author: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

Diff between sn versions 1.2-3 dated 2015-07-16 and 1.2-4 dated 2015-08-25

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Package SamplingStrata updated to version 1.0-4 with previous version 1.0-3 dated 2014-10-21

Title: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
Description: In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the 'genalg' package.
Author: Giulio Barcaroli, Daniela Pagliuca and Egon Willighagen
Maintainer: Giulio Barcaroli <barcarol@istat.it>

Diff between SamplingStrata versions 1.0-3 dated 2014-10-21 and 1.0-4 dated 2015-08-25

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Package RProtoBuf updated to version 0.4.3 with previous version 0.4.2 dated 2014-12-11

Title: R Interface to the Protocol Buffers API
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. Additional documentation is available in the arXiv.org preprint "RProtoBuf: Efficient Cross-Language Data Serialization in R" by Eddelbuettel, Stokely, and Ooms (2014) at <http://arxiv.org/abs/1401.7372>.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RProtoBuf versions 0.4.2 dated 2014-12-11 and 0.4.3 dated 2015-08-25

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Package RMySQL updated to version 0.10.5 with previous version 0.10.4 dated 2015-07-28

Title: Database Interface and 'MySQL' Driver for R
Description: Implements 'DBI' Interface to 'MySQL' and 'MariaDB' Databases.
Author: Jeroen Ooms [aut, cre], David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between RMySQL versions 0.10.4 dated 2015-07-28 and 0.10.5 dated 2015-08-25

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Package networkD3 updated to version 0.2.1 with previous version 0.1.8 dated 2015-07-11

Title: D3 JavaScript Network Graphs from R
Description: Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from 'R'.
Author: Christopher Gandrud [aut, cre], J.J. Allaire [aut], Kent Russel [aut], B.W. Lewis [ctb], Kevin Kuo [ctb], Charles Sese [ctb], Peter Ellis [ctb], Jonathan Owen [ctb]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between networkD3 versions 0.1.8 dated 2015-07-11 and 0.2.1 dated 2015-08-25

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Package meta4diag updated to version 1.0.20 with previous version 1.0.19 dated 2015-08-23

Title: Meta-Analysis for Diagnostic Test Studies
Description: Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <http://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos="http://www.math.ntnu.no/inla/R/testing").
Author: Jingyi Guo <jingyi.guo@math.ntnu.no> and Andrea Riebler <andrea.riebler@math.ntnu.no>
Maintainer: Jingyi Guo <jingyi.guo@math.ntnu.no>

Diff between meta4diag versions 1.0.19 dated 2015-08-23 and 1.0.20 dated 2015-08-25

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New package ggplot2movies with initial version 0.0.1
Package: ggplot2movies
Version: 0.0.1
Title: Movies Data
Description: A dataset about movies. This was previously contained in ggplot2, but has been moved its own package to reduce the download size of ggplot2.
Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")), person("RStudio", role = "cph") )
Depends: R (>= 2.10.0)
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2015-08-25 13:37:51 UTC; hadley
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Repository: CRAN
Date/Publication: 2015-08-25 16:05:24

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Package curl updated to version 0.9.3 with previous version 0.9.2 dated 2015-08-08

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https://, ftps://), 'gzip' compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with HTTP specific tools and logic.
Author: Jeroen Ooms [cre, aut], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between curl versions 0.9.2 dated 2015-08-08 and 0.9.3 dated 2015-08-25

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Package rhandsontable updated to version 0.2 with previous version 0.1 dated 2015-06-24

Title: Interface to the 'Handsontable.js' Library
Description: An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor.
Author: Jonathan Owen [aut, cre, cph], Jeff Allen [ctb], Yihui Xie [ctb], Enzo Martoglio [ctb], Warpechowski Marcin [ctb, cph] (Handsontable.js library), Handsoncode sp. z o.o. [ctb, cph] (Handsontable.js library), Aisch Gregor [ctb, cph] (Chroma.js library), Wood Tim [ctb, cph] (Moment.js library), Chernev Iskren [ctb, cph] (Moment.js library), Moment.js contributors [ctb, cph] (Moment.js library), Bushell David [ctb, cph] (Pikaday.js library), jQuery Foundation [ctb, cph] (jQuery.js library), Splunk Inc [ctb, cph] (Sparkline.js library)
Maintainer: Jonathan Owen <jonathanro@gmail.com>

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Package fptdApprox updated to version 2.1 with previous version 2.0 dated 2013-12-27

Title: Approximation of First-Passage-Time Densities for Diffusion Processes
Description: Efficient approximation of first-passage-time densities for diffusion processes based on the First-Passage-Time Location (FPTL) function.
Author: Patricia Romn-Romn, Juan J. Serrano-Prez and Francisco Torres-Ruiz.
Maintainer: Juan J. Serrano-Prez

Diff between fptdApprox versions 2.0 dated 2013-12-27 and 2.1 dated 2015-08-25

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Package contoureR updated to version 1.0.5 with previous version 1.0.1 dated 2015-08-22

Title: Contouring of Non-Regular Three-Dimensional Data
Description: Create contour lines for a non regular series of points, potentially from a non-regular canvas.
Author: Nicholas Hamilton
Maintainer: Nicholas Hamilton <n.hamilton@unsw.edu.au>

Diff between contoureR versions 1.0.1 dated 2015-08-22 and 1.0.5 dated 2015-08-25

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Package compare updated to version 0.2-6 with previous version 0.2-5 dated 2014-12-16

Title: Comparing Objects for Differences
Description: Functions to compare a model object to a comparison object. If the objects are not identical, the functions can be instructed to explore various modifications of the objects (e.g., sorting rows, dropping names) to see if the modified versions are identical.
Author: Paul Murrell
Maintainer: Paul Murrell <p.murrell@auckland.ac.nz>

Diff between compare versions 0.2-5 dated 2014-12-16 and 0.2-6 dated 2015-08-25

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Package clttools updated to version 1.1 with previous version 1.0 dated 2015-08-23

Title: Central Limit Theorem Experiments (Theoretical and Simulation)
Description: Central limit theorem experiments presented by data frames or plots. Functions include generating theoretical sample space, corresponding probability, and simulated results as well.
Author: Simiao Ye, Jingning Mei
Maintainer: Simiao Ye <simiao.ye@gmail.com>

Diff between clttools versions 1.0 dated 2015-08-23 and 1.1 dated 2015-08-25

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Mon, 24 Aug 2015

Package Surrogate updated to version 0.1-62 with previous version 0.1-61 dated 2015-06-11

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a biomarker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Ariel Alonso & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 0.1-61 dated 2015-06-11 and 0.1-62 dated 2015-08-24

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 24 files changed, 100 insertions(+), 42 deletions(-)

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Package idm updated to version 1.2 with previous version 1.0 dated 2015-06-03

Title: Incremental Decomposition Methods
Description: Principal Component Analysis and Multiple Correspondence Analysis using incremental eigenvalue decomposition methods.
Author: Alfonso Iodice D' Enza [aut], Angelos Markos [aut, cre], Davide Buttarazzi [ctb]
Maintainer: Angelos Markos <amarkos@gmail.com>

Diff between idm versions 1.0 dated 2015-06-03 and 1.2 dated 2015-08-24

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Package scales updated to version 0.3.0 with previous version 0.2.5 dated 2015-06-12

Title: Scale Functions for Visualization
Description: Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between scales versions 0.2.5 dated 2015-06-12 and 0.3.0 dated 2015-08-24

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Package ONETr updated to version 1.0.3 with previous version 1.0.2 dated 2015-01-23

Title: Efficient Authenticated Interaction with the O*NET API
Description: Provides a series of functions designed to enable users to easily search and interact with occupational data from the O*NET API <www.onetonline.org>. The package produces parsed and listed XML data for custom interactions, or pre-packaged functions for easy extraction of specific data (e.g., Knowledge, Skills, Abilities, Work Styles, etc.).
Author: Eric Knudsen
Maintainer: Eric Knudsen <eknudsen@gc.cuny.edu>

Diff between ONETr versions 1.0.2 dated 2015-01-23 and 1.0.3 dated 2015-08-24

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 48 files changed, 882 insertions(+), 953 deletions(-)

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Package mcmcse updated to version 1.1-2 with previous version 1.1-1 dated 2015-07-31

Title: Monte Carlo Standard Errors for MCMC
Description: Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Author: James M. Flegal <jflegal@ucr.edu>, John Hughes <hughesj@umn.edu> and Dootika Vats <vatsx007@umn.edu>
Maintainer: James M. Flegal <jflegal@ucr.edu>

Diff between mcmcse versions 1.1-1 dated 2015-07-31 and 1.1-2 dated 2015-08-24

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Package lawn updated to version 0.1.4 with previous version 0.1.0 dated 2015-05-16

Title: Client for 'Turfjs' for 'Geospatial' Analysis
Description: Client for 'Turfjs' (http://turfjs.org/) for 'geospatial' analysis. The package revolves around using 'GeoJSON' data. Functions are included for creating 'GeoJSON' data objects, measuring aspects of 'GeoJSON', and combining, transforming, and creating random 'GeoJSON' data objects.
Author: Scott Chamberlain [aut, cre], Jeff Hollister [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between lawn versions 0.1.0 dated 2015-05-16 and 0.1.4 dated 2015-08-24

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Package ica updated to version 1.0-1 with previous version 1.0-0 dated 2014-09-02

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

Diff between ica versions 1.0-0 dated 2014-09-02 and 1.0-1 dated 2015-08-24

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New package FastBandChol with initial version 0.1.0
Package: FastBandChol
Type: Package
Title: Fast Estimation of a Covariance Matrix by Banding the Cholesky Factor
Version: 0.1.0
Author: Aaron Molstad <molst029@umn.edu>
Maintainer: Aaron Molstad <molst029@umn.edu>
Description: Fast and numerically stable estimation of a covariance matrix by banding the Cholesky factor using a modified Gram-Schmidt algorithm implemented in RcppArmadilo. See <http://stat.umn.edu/~molst029> for details on the algorithm.
License: GPL-2
LazyData: TRUE
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2015-08-24 15:05:44 UTC; aaronmolstad
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-08-25 01:05:04

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