Sat, 29 Oct 2016

Package MSGARCH updated to version 0.17 with previous version 0.16 dated 2016-08-25

Title: Markov-Switching GARCH Models
Description: The MSGARCH package offers methods to fit (by Maximum Likelihood or Bayesian), simulate, and forecast various Markov-Switching GARCH processes.
Author: Keven Bluteau [aut, cre], David Ardia [aut], Denis-Alexandre Trottier [aut], Kris Boudt [ctb], Brian Peterson [ctb]
Maintainer: Keven Bluteau <Keven.Bluteau@unine.ch>

Diff between MSGARCH versions 0.16 dated 2016-08-25 and 0.17 dated 2016-10-29

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Package RProtoBuf updated to version 0.4.7 with previous version 0.4.6 dated 2016-09-09

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
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 two included vignettes one of which corresponds to our paper in the Journal of Statistical Software (2016, v71i02). Either version 2 or 3 of the 'Protocol Buffers' 'API' is supported.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RProtoBuf versions 0.4.6 dated 2016-09-09 and 0.4.7 dated 2016-10-29

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Package rprojroot updated to version 1.1 with previous version 1.0-2 dated 2016-03-28

Title: Finding Files in Project Subdirectories
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between rprojroot versions 1.0-2 dated 2016-03-28 and 1.1 dated 2016-10-29

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Package psidR updated to version 1.4 with previous version 1.3 dated 2015-05-15

Title: Build Panel Data Sets from PSID Raw Data
Description: Makes it easy to build panel data in wide format from Panel Survey of Income Dynamics (PSID) delivered raw data. Deals with data downloaded and pre-processed by 'Stata' or 'SAS', or can optionally download directly from the PSID server using the 'SAScii' package. 'psidR' takes care of merging data from each wave onto a cross-period index file, so that individuals can be followed over time. The user must specify which years they are interested in, and the PSID variable names (e.g. ER21003) for each year (they differ in each year). There are different panel data designs and sample subsetting criteria implemented ("SRC", "SEO", "immigrant" and "latino" samples).
Author: Florian Oswald
Maintainer: Florian Oswald <florian.oswald@gmail.com>

Diff between psidR versions 1.3 dated 2015-05-15 and 1.4 dated 2016-10-29

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New package diagis with initial version 0.1.0
Package: diagis
Type: Package
Title: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling
Version: 0.1.0
Date: 2016-10-29
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@jyu.fi>
Description: Fast functions for effective sample size, weighted multivariate mean and variance computation, and weight diagnostic plot for generic importance sampling type results.
License: GPL (>= 2)
Suggests: testthat, knitr, rmarkdown
Imports: Rcpp (>= 0.12.7), ggplot2 (>= 2.1.0), gridExtra
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-10-29 14:53:42 UTC; OMISTAJA
Repository: CRAN
Date/Publication: 2016-10-29 22:24:06

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New package triangulation with initial version 0.5.0
Package: triangulation
Type: Package
Title: Determine Position of Observer
Version: 0.5.0
Date: 2016-10-22
Authors@R: person("Mathias", "Milfeldt", email = "mathias@milfeldt.dk", role = c("aut", "cre"))
Description: Measuring angles between points in a landscape is much easier than measuring distances. When the location of three points is known the position of the observer can be determined based solely on the angles between these points as seen by the observer. This task (known as triangulation) however requires onerous calculations - these calculations are automated by this package.
License: LGPL
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-29 11:30:16 UTC; mat
Author: Mathias Milfeldt [aut, cre]
Maintainer: Mathias Milfeldt <mathias@milfeldt.dk>
Repository: CRAN
Date/Publication: 2016-10-29 13:47:55

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Package QFASA updated to version 1.0.2 with previous version 1.0.1 dated 2016-06-15

Title: Quantitative Fatty Acid Signature Analysis
Description: Accurate estimates of the diets of predators are required in many areas of ecology, but for many species current methods are imprecise, limited to the last meal, and often biased. The diversity of fatty acids and their patterns in organisms, coupled with the narrow limitations on their biosynthesis, properties of digestion in monogastric animals, and the prevalence of large storage reservoirs of lipid in many predators, led us to propose the use of quantitative fatty acid signature analysis (QFASA) to study predator diets.
Author: Sara Iverson [aut], Chris Field [aut], Don Bowen [aut], Wade Blanchard [aut], Connie Stewart [aut, cph], Shelley Lang [aut], Justin Kamerman [cre, cph]
Maintainer: Justin Kamerman <justin.kamerman@unb.ca>

Diff between QFASA versions 1.0.1 dated 2016-06-15 and 1.0.2 dated 2016-10-29

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Package tmap updated to version 1.6-1 with previous version 1.6 dated 2016-10-21

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 1.6 dated 2016-10-21 and 1.6-1 dated 2016-10-29

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New package spftir with initial version 0.1.0
Package: spftir
Version: 0.1.0
Date: 2016-10-17
Type: Package
Title: Pre-Processing and Analysis of Mid-Infrared Spectral Region
Author: Claudio Pozo Valenzuela [aut, cre], Saddys Rodriguez-Llamazares [aut]
Maintainer: Claudio Pozo Valenzuela <claudiopozova@gmail.com>
Depends: R (>= 3.0), pracma, stats
Description: Functions to manipulate, pre-process and analyze spectra in the mid-infrared region. The pre-processing of the mid-infrared spectra is a transcendental step in the spectral analysis. Preprocessing of the spectra includes smoothing, offset, baseline correction, and normalization, is performed before the analysis of the spectra and is essential to obtain conclusive results in subsequent quantitative or qualitative analysis. This package was supported by FONDECYT 3150630, and CIPA Conicyt-Regional R08C1002 is gratefully acknowledged.
Repository: CRAN
RoxygenNote: 5.0.1
License: GPL-2
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-10-28 13:21:45 UTC; Robot
Date/Publication: 2016-10-29 10:48:28

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Package SpeciesMix updated to version 0.3.4 with previous version 0.3.1 dated 2013-10-02

Title: Fit Mixtures of Archetype Species
Description: Fitting Mixtures to Species distributions using BFGS and analytical derivatives.
Author: Piers K Dunstan, Scott D Foster and Ross Darnell
Maintainer: Piers Dunstan <Piers.Dunstan@csiro.au>

Diff between SpeciesMix versions 0.3.1 dated 2013-10-02 and 0.3.4 dated 2016-10-29

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Package Ramble updated to version 0.1.1 with previous version 0.1.0 dated 2016-05-21

Title: Parser Combinator for R
Description: Parser generator for R using combinatory parsers. It is inspired by combinatory parsers developed in Haskell.
Author: Chapman Siu
Maintainer: Chapman Siu <chpmn.siu@gmail.com>

Diff between Ramble versions 0.1.0 dated 2016-05-21 and 0.1.1 dated 2016-10-29

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Package qgraph updated to version 1.4.0 with previous version 1.3.5 dated 2016-08-31

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: The qgraph package can be used to visualize data as networks as well as provides an interface for visualizing weighted graphical models.
Author: Sacha Epskamp, Giulio Costantini, Jonas Haslbeck, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann and Denny Borsboom
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between qgraph versions 1.3.5 dated 2016-08-31 and 1.4.0 dated 2016-10-29

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New package MatrixLDA with initial version 0.1
Package: MatrixLDA
Type: Package
Title: Penalized Matrix-Normal Linear Discriminant Analysis
Version: 0.1
Date: 2016-10-28
Author: Aaron J. Molstad <molst029@umn.edu>
Maintainer: Aaron J. Molstad <molst029@umn.edu>
Description: Fits the penalized matrix-normal model to be used for linear discriminant analysis with matrix-valued predictors.
License: GPL-2
LazyData: TRUE
Imports: Rcpp, plyr, glasso
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-10-28 18:20:19 UTC; aaronmolstad
Repository: CRAN
Date/Publication: 2016-10-29 10:48:12

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Package ggswissmaps updated to version 0.1.1 with previous version 0.0.9 dated 2016-09-19

Title: Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects
Description: Offers various swiss maps as data frames and 'ggplot2' objects and gives the possibility to add layers of data on the maps. Data are publicly available from the swiss federal statistical office.
Author: Sandro Petrillo Burri [aut, cre], Eric Stephani [aut], Lisa Bottinelli [ctb]
Maintainer: Sandro Petrillo Burri <gibo.gaf@gmail.com>

Diff between ggswissmaps versions 0.0.9 dated 2016-09-19 and 0.1.1 dated 2016-10-29

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New package geoGAM with initial version 0.1-1
Package: geoGAM
Type: Package
Title: Select Sparse Geoadditive Models for Spatial Prediction
Version: 0.1-1
Date: 2016-10-27
Authors@R: c( person( "Madlene", "Nussbaum", role = c( "cre", "aut" ), email = "madlene.nussbaum@env.ethz.ch" ), person( "Andreas", "Papritz", role = c( "ths" ), email = "andreas.papritz@env.ethz.ch" ) )
Depends: R(>= 2.14.0)
Imports: mboost, mgcv, grpreg, MASS
Description: A model building procedure to select a sparse geoadditive model from a large number of covariates. Continuous, binary and ordered categorical responses are supported. The model building is based on component wise gradient boosting with linear effects and smoothing splines. The resulting covariate set after gradient boosting is further reduced through cross validated backward selection and aggregation of factor levels. The package provides a model based bootstrap method to simulate prediction intervals for point predictions. A test data set of a soil mapping case study is provided.
License: GPL (>= 2)
Author: Madlene Nussbaum [cre, aut], Andreas Papritz [ths]
Maintainer: Madlene Nussbaum <madlene.nussbaum@env.ethz.ch>
LazyData: TRUE
NeedsCompilation: no
Repository: CRAN
Packaged: 2016-10-28 15:47:59 UTC; nussbam
Date/Publication: 2016-10-29 10:48:22

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New package endogenous with initial version 1.0
Package: endogenous
Type: Package
Title: Classical Simultaneous Equation Models
Version: 1.0
Date: 2016-10-25
Maintainer: Andrew J. Spieker <aspieker@upenn.edu>
Authors@R: person(given = "Andrew J.", family = "Spieker", role = c("aut", "cre"), email = "aspieker@upenn.edu")
Description: Likelihood-based approaches to estimate linear regression parameters and treatment effects in the presence of endogeneity. Specifically, this package includes James Heckman's classical simultaneous equation models-the sample selection model for outcome selection bias and hybrid model with structural shift for endogenous treatment. For more information, see the seminal paper of Heckman (1978) <DOI:10.3386/w0177> in which the details of these models are provided. This package accommodates repeated measures on subjects with a working independence approach. The hybrid model further accommodates treatment effect modification.
Imports: mvtnorm
License: GPL-2
NeedsCompilation: no
Packaged: 2016-10-28 12:44:07 UTC; Andrew
Author: Andrew J. Spieker [aut, cre]
Repository: CRAN
Date/Publication: 2016-10-29 10:48:20

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Package condSURV updated to version 1.0.0 with previous version 0.1.0 dated 2016-05-25

Title: Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data
Description: Method to implement some newly developed methods for the estimation of the conditional survival function.
Author: Luis Meira-Machado and Marta Sestelo
Maintainer: Luis Meira-Machado <lmachado@math.uminho.pt>

Diff between condSURV versions 0.1.0 dated 2016-05-25 and 1.0.0 dated 2016-10-29

 condSURV-0.1.0/condSURV/man/survKMW.Rd          |only
 condSURV-0.1.0/condSURV/man/survLDM.Rd          |only
 condSURV-0.1.0/condSURV/man/survPLDM.Rd         |only
 condSURV-1.0.0/condSURV/DESCRIPTION             |   12 
 condSURV-1.0.0/condSURV/MD5                     |   41 -
 condSURV-1.0.0/condSURV/NAMESPACE               |    5 
 condSURV-1.0.0/condSURV/NEWS                    |only
 condSURV-1.0.0/condSURV/R/Beran.R               |    5 
 condSURV-1.0.0/condSURV/R/survCOND.R            |only
 condSURV-1.0.0/condSURV/R/survCS.R              |   61 +-
 condSURV-1.0.0/condSURV/R/survIPCW.R            |  638 +++++++++++++++++-------
 condSURV-1.0.0/condSURV/R/survKMW.R             |  220 ++++++--
 condSURV-1.0.0/condSURV/R/survLDM.R             |   58 +-
 condSURV-1.0.0/condSURV/R/survPLDM.R            |   67 +-
 condSURV-1.0.0/condSURV/R/whichCS.R             |only
 condSURV-1.0.0/condSURV/build/partial.rdb       |binary
 condSURV-1.0.0/condSURV/data/bladderCS.rda      |only
 condSURV-1.0.0/condSURV/man/KM.Rd               |    5 
 condSURV-1.0.0/condSURV/man/KMW.Rd              |   14 
 condSURV-1.0.0/condSURV/man/bladderCS.Rd        |only
 condSURV-1.0.0/condSURV/man/condSURV-package.Rd |   15 
 condSURV-1.0.0/condSURV/man/gbcsCS.Rd           |    2 
 condSURV-1.0.0/condSURV/man/plot.surv.Rd        |    2 
 condSURV-1.0.0/condSURV/man/survCOND.Rd         |only
 condSURV-1.0.0/condSURV/man/survCS.Rd           |   56 +-
 condSURV-1.0.0/condSURV/man/survIPCW.Rd         |   20 
 26 files changed, 879 insertions(+), 342 deletions(-)

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New package BCSub with initial version 0.2
Package: BCSub
Type: Package
Title: A Bayesian Semiparametric Factor Analysis Model for Subtype Identification (Clustering)
Version: 0.2
Date: 2016-10-25
Author: Jiehuan Sun [aut, cre], Joshua L. Warren [aut], and Hongyu Zhao [aut]
Maintainer: Jiehuan Sun <jiehuan.sun@yale.edu>
Description: Gene expression profiles are commonly utilized to infer disease subtypes and many clustering methods can be adopted for this task. However, existing clustering methods may not perform well when genes are highly correlated and many uninformative genes are included for clustering. To deal with these challenges, we develop a novel clustering method in the Bayesian setting. This method, called BCSub, adopts an innovative semiparametric Bayesian factor analysis model to reduce the dimension of the data to a few factor scores for clustering. Specifically, the factor scores are assumed to follow the Dirichlet process mixture model in order to induce clustering.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.0), MASS (>= 7.3-45), mcclust (>= 1.0), nFactors (>= 2.3.3)
Imports: Rcpp (>= 0.12.6)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-10-29 03:10:28 UTC; JiehuanSun
Repository: CRAN
Date/Publication: 2016-10-29 10:48:09

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