Sat, 03 Oct 2015

Package lavaan updated to version 0.5-19 with previous version 0.5-18 dated 2015-04-04

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre], Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsikatsou [ctb], Mariska Barendse [ctb]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

Diff between lavaan versions 0.5-18 dated 2015-04-04 and 0.5-19 dated 2015-10-03

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Package geoBayes updated to version 0.3.0 with previous version 0.2.150402 dated 2015-04-02

Title: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods
Description: Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
Author: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>, Vivekananda Roy <vroy@iastate.edu>
Maintainer: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>

Diff between geoBayes versions 0.2.150402 dated 2015-04-02 and 0.3.0 dated 2015-10-03

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Package sinaplot updated to version 0.1.2 with previous version 0.1.1 dated 2015-10-01

Title: An Enhanced Chart for Simple and Truthful Representation of Single Observations over Multiple Classes
Description: The sinaplot is a data visualization chart suitable for plotting any single variable in a multiclass dataset. It is an enhanced jitter strip chart, where the width of the jitter is controlled by the density distribution of the data within each class.
Author: Nikos Sidiropoulos [aut, cre], Sina Hadi Sohi [aut], Nicolas Rapin [aut], Frederik Otzen Bagger [aut]
Maintainer: Nikos Sidiropoulos <nikos.sidiro@gmail.com>

Diff between sinaplot versions 0.1.1 dated 2015-10-01 and 0.1.2 dated 2015-10-03

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New package quantileDA with initial version 1.0
Package: quantileDA
Type: Package
Title: Quantile Classifier
Version: 1.0
Date: 2015-10-02
Author: Christian Hennig, Cinzia Viroli
Maintainer: Cinzia Viroli <cinzia.viroli@unibo.it>
Description: Code for centroid, median and quantile classifiers.
License: GPL-3
Packaged: 2015-10-03 07:07:25 UTC; viroli
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-03 19:21:47

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Package NPCD updated to version 1.0-9 with previous version 1.0-8 dated 2015-05-02

Title: Nonparametric Methods for Cognitive Diagnosis
Description: An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of examinee attribute profiles given item parameters and CMLE of item parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive and disjunctive models, and the parametric methods in the package support the DINA model, the DINO model, the NIDA model, the G-NIDA model, and the R-RUM model.
Author: Yi Zheng [aut, cre], Chia-Yi Chiu [aut], Jeffrey A. Douglas [ctb]
Maintainer: Yi Zheng <yi.isabel.zheng@asu.edu>

Diff between NPCD versions 1.0-8 dated 2015-05-02 and 1.0-9 dated 2015-10-03

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Package glarma updated to version 1.4-0 with previous version 1.3-0 dated 2014-09-25

Title: Generalized Linear Autoregressive Moving Average Models
Description: Functions are provided for estimation, testing, diagnostic checking and forecasting of generalized linear autoregressive moving average (GLARMA) models for discrete valued time series with regression variables. These are a class of observation driven non-linear non-Gaussian state space models. The state vector consists of a linear regression component plus an observation driven component consisting of an autoregressive-moving average (ARMA) filter of past predictive residuals. Currently three distributions (Poisson, negative binomial and binomial) can be used for the response series. Three options (Pearson, score-type and unscaled) for the residuals in the observation driven component are available. Estimation is via maximum likelihood (conditional on initializing values for the ARMA process) optimized using Fisher scoring or Newton Raphson iterative methods. Likelihood ratio and Wald tests for the observation driven component allow testing for serial dependence in generalized linear model settings. Graphical diagnostics including model fits, autocorrelation functions and probability integral transform residuals are included in the package. Several standard data sets are included in the package.
Author: William T.M. Dunsmuir <w.dunsmuir@unsw.edu.au>, Cenanning Li <cli113@aucklanduni.ac.nz>, and David J. Scott <d.scott@auckland.ac.nz>
Maintainer: "William T.M. Dunsmuir" <w.dunsmuir@unsw.edu.au>

Diff between glarma versions 1.3-0 dated 2014-09-25 and 1.4-0 dated 2015-10-03

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Package coneproj updated to version 1.8 with previous version 1.7 dated 2015-09-02

Title: Primal or Dual Cone Projections with Routines for Constrained Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems.
Author: Mary C. Meyer and Xiyue Liao
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>

Diff between coneproj versions 1.7 dated 2015-09-02 and 1.8 dated 2015-10-03

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New package FENmlm with initial version 1.0
Package: FENmlm
Type: Package
Title: Fixed Effects Nonlinear Maximum Likelihood Models
Version: 1.0
Date: 2015-10-02
Author: Laurent Berge
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>
Depends: stats, numDeriv, Matrix, MASS
Description: Efficient estimation of fixed-effect maximum likelihood models with, possibly, non-linear right hand sides.
License: GPL (>= 2)
LazyData: TRUE
Packaged: 2015-10-03 10:34:56 UTC; Laurent
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-03 19:21:39

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Package compendiumdb updated to version 1.0.2 with previous version 1.0.1 dated 2015-06-15

Title: Tools for Retrieval and Storage of Functional Genomics Data
Description: Package for the systematic retrieval and storage of functional genomics data via a MySQL database.
Author: Umesh K. Nandal <u.k.nandal@amc.uva.nl> and Perry D. Moerland <p.d.moerland@amc.uva.nl>
Maintainer: Umesh Nandal <u.k.nandal@amc.uva.nl>

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New package brotli with initial version 0.2
Package: brotli
Type: Package
Title: A Compression Format Optimized for the Web
Version: 0.2
Authors@R: c( person("Jeroen", "Ooms", ,"jeroen.ooms@stat.ucla.edu", role = c("aut", "cre")), person("Google, Inc", role = "cph", comment = "Brotli C++ library") )
Description: A lossless compressed data format that compresses data using a combination of the LZ77 algorithm and Huffman coding, with efficiency comparable to the best currently available general-purpose compression methods. Brotli is similar in speed to deflate but offers more dense compression.
License: Apache License 2.0
URL: http://www.ietf.org/id/draft-alakuijala-brotli https://github.com/google/brotli
BugReports: http://github.com/jeroenooms/brotli/issues
VignetteBuilder: R.rsp
Suggests: R.rsp
NeedsCompilation: yes
Packaged: 2015-10-03 11:04:07 UTC; jeroen
Author: Jeroen Ooms [aut, cre], Google, Inc [cph] (Brotli C++ library)
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>
Repository: CRAN
Date/Publication: 2015-10-03 19:21:41

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Package sotkanet updated to version 0.9.21 with previous version 0.9.14 dated 2015-06-24

Title: Tools for Sotkanet Open Data Portal
Description: Tools to download data from the Sotkanet open data portal.
Author: Leo Lahti, Einari Happonen, Juuso Parkkinen, Joona Lehtomaki
Maintainer: Leo Lahti <louhos@googlegroups.com>

Diff between sotkanet versions 0.9.14 dated 2015-06-24 and 0.9.21 dated 2015-10-03

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New package subspace with initial version 1.0.3
Package: subspace
Title: Interface to OpenSubspace
Version: 1.0.3
Date: 2015-09-30
Authors@R: c( person("Marwan","Hassani",role=c("aut","cre"),email="rsubspace@cs.rwth-aachen.de"), person("Matthias","Hansen",role=c("aut"),email="matthias.hansen@rwth-aachen.de"), person("Emmanuel","Müller",role="ctb"), person("Ira","Assent",role="ctb"), person("Stephan","Günnemann",role="ctb"), person("Timm","Jansen",role="ctb"), person("Thomas","Seidl",role="ctb"), person("University of", "Waikato",role=c("ctb","cph")))
Description: An interface to 'OpenSubspace', an open source framework for evaluation and exploration of subspace clustering algorithms in WEKA (see <http://dme.rwth-aachen.de/de/opensubspace> for more information). Also performs visualization.
Depends: R(>= 3.1.0)
Imports: ggvis (>= 0.4.2), colorspace (>= 1.0), stringr (>= 1.0.0), rJava(>= 0.9)
SystemRequirements: Java (>= 6)
Encoding: UTF-8
License: GPL-2
NeedsCompilation: no
Packaged: 2015-10-03 10:40:29 UTC; mth
Author: Marwan Hassani [aut, cre], Matthias Hansen [aut], Emmanuel Müller [ctb], Ira Assent [ctb], Stephan Günnemann [ctb], Timm Jansen [ctb], Thomas Seidl [ctb], University of Waikato [ctb, cph]
Maintainer: Marwan Hassani <rsubspace@cs.rwth-aachen.de>
Repository: CRAN
Date/Publication: 2015-10-03 14:49:23

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Package joint.Cox updated to version 2.2 with previous version 2.1 dated 2015-09-25

Title: Penalized Likelihood Estimation and Prediction under the Joint Cox Models Between Tumour Progression and Death for Meta-Analysis
Description: Perform regression analyses under the joint Cox proportional hazards model between tumour progression and death for meta-analysis. The method is applicable for meta-analysis combining several studies or for cluster survival data.
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between joint.Cox versions 2.1 dated 2015-09-25 and 2.2 dated 2015-10-03

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Package optparse updated to version 1.3.2 with previous version 1.3.0 dated 2014-12-11

Title: Command Line Option Parser
Description: A command line parser inspired by Python's 'optparse' library to be used with Rscript to write "#!" shebang scripts that accept short and long flag/options.
Author: Trevor L Davis. Some documentation and examples ported from Allen Day's getopt package. Some documentation from the optparse Python module by the Python Software Foundation. Contributions from Steve Lianoglou, Jim Nikelski, Kirill Müller, Peter Humburg, and Rich FitzJohn.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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New package MetaPath with initial version 1.0
Package: MetaPath
Type: Package
Title: Perform the Meta-Analysis for Pathway Enrichment Analysis (MAPE)
Version: 1.0
Date: 2015-09-28
Author: Kui Shen and Geroge Tseng
Maintainer: Kui Shen <kuishen@alumni.pitt.edu>
Depends: R (>= 3.0.0),Biobase,GSEABase,genefilter,impute
Description: Perform the Meta-analysis for Pathway Enrichment (MAPE) methods introduced by Shen and Tseng (2010). It includes functions to automatically perform MAPE_G (integrating multiple studies at gene level), MAPE_P (integrating multiple studies at pathway level) and MAPE_I (a hybrid method integrating MAEP_G and MAPE_P methods). In the simulation and real data analyses in the paper, MAPE_G and MAPE_P have complementary advantages and detection power depending on the data structure. In general, the integrative form of MAPE_I is recommended to use. In the case that MAPE_G (or MAPE_P) detects almost none pathway, the integrative MAPE_I does not improve performance and MAPE_P (or MAPE_G) should be used. Reference: Shen, Kui, and George C Tseng. Meta-analysis for pathway enrichment analysis when combining multiple microarray studies.Bioinformatics (Oxford, England) 26, no. 10 (April 2010): 1316-1323. doi:10.1093/bioinformatics/btq148. http://www.ncbi.nlm.nih.gov/pubmed/20410053.
License: GPL (>= 2.0)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-10-02 19:12:17 UTC; root
Repository: CRAN
Date/Publication: 2015-10-03 07:57:54

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Package jomo updated to version 1.2-1 with previous version 1.2-0 dated 2015-06-26

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package pan, jomo is a package for multilevel joint modelling multiple imputation. Novel aspects of jomo are the possibility of handling binary and categorical data through latent normal variables and the option to use cluster-specific covariance matrices.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

Diff between jomo versions 1.2-0 dated 2015-06-26 and 1.2-1 dated 2015-10-03

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Package hisse updated to version 1.3 with previous version 1.2 dated 2015-09-25

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification.
Author: Jeremy M. Beaulieu <jbeaulieu@nimbios.org>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

Diff between hisse versions 1.2 dated 2015-09-25 and 1.3 dated 2015-10-03

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Package flowr updated to version 0.9.8.2 with previous version 0.9.7.10 dated 2015-08-22

Title: Streamlining Design and Deployment of Complex Workflows
Description: This framework allows you to design and implement complex pipelines, and deploy them on your institution's computing cluster. This has been built keeping in mind the needs of bioinformatics workflows. However, it is easily extendable to any field where a series of steps (shell commands) are to be executed in a (work)flow.
Author: Sahil Seth [aut, cre]
Maintainer: Sahil Seth <me@sahilseth.com>

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Package arulesSequences updated to version 0.2-11 with previous version 0.2-10 dated 2015-09-16

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

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More information about arulesSequences at CRAN
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