Mon, 12 Oct 2015

Package h5 updated to version 0.9.4 with previous version 0.9.3 dated 2015-08-11

Title: Interface to the 'HDF5' Library
Description: S4 Interface to the 'HDF5' library supporting fast storage and retrieval of R-objects like vectors, matrices and arrays to binary files in a language independent format. The 'HDF5' format can therefore be used as an alternative to R's save/load mechanism. Since h5 is able to access only subsets of stored data it can also handle data sets which do not fit into memory.
Author: Mario Annau [aut, cre]
Maintainer: Mario Annau <mario.annau@gmail.com>

Diff between h5 versions 0.9.3 dated 2015-08-11 and 0.9.4 dated 2015-10-12

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 NAMESPACE                           |    2 
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Package ggtern updated to version 1.0.6.1 with previous version 1.0.6.0 dated 2015-08-03

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

Diff between ggtern versions 1.0.6.0 dated 2015-08-03 and 1.0.6.1 dated 2015-10-12

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Package geesmv updated to version 1.3 with previous version 1.2 dated 2015-08-28

Title: Modified Variance Estimators for Generalized Estimating Equations
Description: Generalized estimating equations with the original sandwich variance estimator proposed by Liang and Zeger (1986), and eight types of more recent modified variance estimators for improving the finite small-sample performance.
Author: Ming Wang <mwang@phs.psu.edu>
Maintainer: Zheng Li <zheng.li@outlook.com>

Diff between geesmv versions 1.2 dated 2015-08-28 and 1.3 dated 2015-10-12

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Package fbroc updated to version 0.3.1 with previous version 0.3.0 dated 2015-10-08

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description: Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>

Diff between fbroc versions 0.3.0 dated 2015-10-08 and 0.3.1 dated 2015-10-12

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 4 files changed, 14 insertions(+), 10 deletions(-)

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Package xmeta updated to version 1.0-1 with previous version 1.0 dated 2015-10-02

Title: A Toolbox for Multivariate Meta-Analysis
Description: A toolbox for meta-analysis. This package includes a collection of functions for (1) implementing robust multivariate meta-analysis of continuous or binary outcomes; and (2) testing and correcting of publication bias in multivariate meta-analysis settings.
Author: Yong Chen, Chuan Hong, Haitao Chu
Maintainer: Yong Chen <ychen.upenn@gmail.com>

Diff between xmeta versions 1.0 dated 2015-10-02 and 1.0-1 dated 2015-10-12

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Package gemtc updated to version 0.7-1 with previous version 0.7 dated 2015-09-09

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <g.h.m.van.valkenhoef@rug.nl>

Diff between gemtc versions 0.7 dated 2015-09-09 and 0.7-1 dated 2015-10-12

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New package fourPNO with initial version 1.0
Package: fourPNO
Type: Package
Title: Bayesian 4 Parameter Item Response Model
Version: 1.0
Date: 2015-10-11
Authors@R: c(person("Steven Andrew", "Culpepper", role = c("aut", "cph","cre"), email = "sculpepp@illinois.edu"))
Maintainer: Steven Andrew Culpepper <sculpepp@illinois.edu>
Description: Estimate Lord & Barton's four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2015).
License: GPL (>= 2)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.0.1)
Packaged: 2015-10-12 15:14:37 UTC; sculpepp
Author: Steven Andrew Culpepper [aut, cph, cre]
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-10-12 17:34:34

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New package subspace with initial version 1.0.4
Package: subspace
Title: Interface to OpenSubspace
Version: 1.0.4
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")), 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: 2015-10-12 13:16:59 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: 2015-10-12 17:03:17

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New package NlcOptim with initial version 0.1
Package: NlcOptim
Title: Solve Nonlinear Optimization with Nonlinear Constraints
Version: 0.1
Author: Xianyan Chen <xychen@uga.edu>, Xiangrong Yin <yinxiangrong@uky.edu>
Maintainer: Xianyan Chen <xychen@uga.edu>
Description: Optimization for nonlinear objective and constraint functions. Linear or nonlinear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix.
Depends: MASS, R (>= 3.2.2)
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2015-10-12 14:06:00 UTC; Chenxy
Repository: CRAN
Date/Publication: 2015-10-12 17:03:13

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New package chunked with initial version 0.1.1
Package: chunked
Type: Package
Title: Chunkwise Text-File Processing for 'dplyr'
Version: 0.1.1
Date: 2015-10-12
Author: Edwin de Jonge
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Description: Text data can be processed chunkwise using 'dplyr' commands. These are recorded and executed per data chunk, so large files can be processed with limited memory using the 'LaF' package.
License: GPL-2
LazyData: TRUE
Depends: dplyr
Imports: LaF, utils, lazyeval
Suggests: testthat, RSQLite
NeedsCompilation: no
Packaged: 2015-10-12 14:06:50 UTC; Edwin
Repository: CRAN
Date/Publication: 2015-10-12 17:03:15

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New package batteryreduction with initial version 0.1.0
Package: batteryreduction
Type: Package
Title: An R Package for Data Reduction by Battery Reduction
Version: 0.1.0
Depends: R (>= 3.0.2)
Imports: stats, pracma
Date: 2015-10-08
Authors@R: c( person("Chunqiao", "Luo", email = "chunqiaoluo@gmail.com", role = c("aut", "cre")),person("Ralph", "D'Agostino ", role = c("aut"), comment = "This package is derived from Battery Reduction Macro at http://www.lexjansen.com/nesug/nesug92/NESUG92090.pdf"))
Maintainer: Chunqiao Luo <chunqiaoluo@gmail.com>
Description: Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to find out a subset of variables best representing the original set of variables.
License: GPL
NeedsCompilation: no
Packaged: 2015-10-09 19:07:49 UTC; luochunqiao
Author: Chunqiao Luo [aut, cre], Ralph D'Agostino [aut] (This package is derived from Battery Reduction Macro at http://www.lexjansen.com/nesug/nesug92/NESUG92090.pdf)
Repository: CRAN
Date/Publication: 2015-10-12 17:03:14

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Package Barnard updated to version 1.5 with previous version 1.4 dated 2015-10-09

Title: Barnard's Unconditional Test
Description: Barnard's unconditional test for 2x2 contingency tables.
Author: Kamil Erguler
Maintainer: Kamil Erguler <k.erguler@cyi.ac.cy>

Diff between Barnard versions 1.4 dated 2015-10-09 and 1.5 dated 2015-10-12

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Package BANFF updated to version 1.0 with previous version 0.3 dated 2015-02-16

Title: Bayesian Network Feature Finder
Description: Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
Author: Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
Maintainer: Zhou Lan <zlan6@gatech.edu>

Diff between BANFF versions 0.3 dated 2015-02-16 and 1.0 dated 2015-10-12

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Package VSURF updated to version 1.0.1 with previous version 1.0.0 dated 2015-05-15

Title: Variable Selection Using Random Forests
Description: Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose.
Author: Robin Genuer [aut, cre], Jean-Michel Poggi [aut], Christine Tuleau-Malot [aut]
Maintainer: Robin Genuer <Robin.Genuer@isped.u-bordeaux2.fr>

Diff between VSURF versions 1.0.0 dated 2015-05-15 and 1.0.1 dated 2015-10-12

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Package sjPlot updated to version 1.8.4 with previous version 1.8.3 dated 2015-08-26

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 1.8.3 dated 2015-08-26 and 1.8.4 dated 2015-10-12

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Package sjmisc updated to version 1.2 with previous version 1.1 dated 2015-08-26

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 1.1 dated 2015-08-26 and 1.2 dated 2015-10-12

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Package rgrass7 updated to version 0.1-3 with previous version 0.1-2 dated 2015-08-23

Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between GRASS 7 geographical information system and R, based on starting R from within the GRASS GIS environment, or running free-standing R in a temporary GRASS location; the package provides facilities for using all GRASS commands from the R command line. This package may not be used for GRASS 6, for which spgrass6 should be used.
Author: Roger Bivand [cre, aut], Rainer Krug [ctb], Markus Neteler [ctb], Sebastian Jeworutzki [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgrass7 versions 0.1-2 dated 2015-08-23 and 0.1-3 dated 2015-10-12

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Package mosaic updated to version 0.12 with previous version 0.11 dated 2015-09-10

Title: Project MOSAIC Statistics and Mathematics Teaching Utilities
Description: Data sets and utilities from Project MOSAIC (mosaic-web.org) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel Kaplan <kaplan@macalester.edu>, Nicholas Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

Diff between mosaic versions 0.11 dated 2015-09-10 and 0.12 dated 2015-10-12

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 R/aggregatingMeta.R                                                          |   21 
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 R/dotPlot.R                                                                  |    5 
 R/dpqrdist.R                                                                 |   32 
 R/favstats.R                                                                 |    5 
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 R/integrateODE.R                                                             |    1 
 R/makeFun.R                                                                  |    6 
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 inst/doc/Resampling.Rnw                                                      |    2 
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 man/cdist.Rd                                                                 |   23 
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 man/do.Rd                                                                    |    5 
 man/dotPlot.Rd                                                               |    2 
 man/freqpolygon.Rd                                                           |    2 
 man/gwm.Rd                                                                   |only
 man/makeFun.Rd                                                               |    4 
 man/mm.Rd                                                                    |   51 -
 man/mosaic-internal.Rd                                                       |    7 
 man/mplot.Rd                                                                 |   12 
 man/nicenames.Rd                                                             |    4 
 man/plotModel.Rd                                                             |    9 
 man/pqrdata2.Rd                                                              |   15 
 man/qdist.Rd                                                                 |   16 
 man/resample.Rd                                                              |    2 
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Package EloChoice updated to version 0.29 with previous version 0.28 dated 2015-10-11

Title: Preference Rating for Visual Stimuli Based on Elo Ratings
Description: Allows calculating global scores for characteristics of visual stimuli. Stimuli are presented as sequence of pairwise comparisons ('contests'), during each of which a rater expresses preference for one stimulus over the other. The algorithm for calculating global scores is based on Elo rating, which updates individual scores after each single pairwise contest. Elo rating is widely used to rank chess players according to their performance. Its core feature is that dyadic contests with expected outcomes lead to smaller changes of participants' scores than outcomes that were unexpected. As such, Elo rating is an efficient tool to rate individual stimuli when a large number of such stimuli are paired against each other in the context of experiments where the goal is to rank stimuli according to some characteristic of interest.
Author: Christof Neumann
Maintainer: Christof Neumann <christofneumann1@gmail.com>

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Package embryogrowth updated to version 6.1 with previous version 6.0 dated 2015-04-15

Title: Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Description: Tools to analyze the embryo growth and the sexualisation thermal reaction norms.
Author: Marc Girondot <marc.girondot@u-psud.fr>
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

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Package compendiumdb updated to version 1.0.3 with previous version 1.0.2 dated 2015-10-03

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>

Diff between compendiumdb versions 1.0.2 dated 2015-10-03 and 1.0.3 dated 2015-10-12

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New package bcRep with initial version 1.1
Package: bcRep
Type: Package
Title: Advanced Analysis of B Cell Receptor Repertoire Data
Version: 1.1
Date: 2015-09-09
Author: Julia Bischof
Maintainer: Julia Bischof <Julia.Bischof@uksh.de>
Description: Methods for advanced analysis of B cell receptor repertoire data, like gene usage, mutations, clones and diversity and their visualisation.
License: GPL-2
Depends: vegan, parallel, doParallel, foreach, gplots, R (>= 3.2.2)
Suggests: stats, utils, graphics, grDevices
NeedsCompilation: no
Packaged: 2015-10-12 08:30:52 UTC; julia
Repository: CRAN
Date/Publication: 2015-10-12 11:16:12

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Package rgeolocate updated to version 0.5.0 with previous version 0.4.1 dated 2015-07-25

Title: IP Address Geolocation
Description: Connectors to online and offline sources for taking IP addresses and geolocating them to country, city, timezone and other geographic ranges. For individual connectors, see the package index.
Author: Oliver Keyes [aut, cre], Drew Schmidt [aut], David Robinson [ctb], Maxmind, Inc. [cph], Pascal Gloor [cph]
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between rgeolocate versions 0.4.1 dated 2015-07-25 and 0.5.0 dated 2015-10-12

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New package maGUI with initial version 1.0
Package: maGUI
Type: Package
Title: A Graphical User Interface for Microarray Data Analysis
Version: 1.0
Date: 2015-09-18
Author: Dhammapal Bharne, Praveen Kant, Vaibhav Vindal
Maintainer: Dhammapal Bharne <dhammapalb@uohyd.ac.in>
Imports: Biobase, Biostrings, BiocInstaller, RSQLite, pdInfoBuilder, convert, marray, GEOquery, GEOmetadb, annotate, RGtk2, gWidgets, gWidgetsRGtk2, tcltk, RBGL, grDevices, stats, utils, limma, affy, genefilter, simpleaffy, impute, oligo, beadarray, lumi, GOstats, globaltest, WGCNA, ssize, graph, Rgraphviz
Description: Provides a Graphical User Interface for Microarray Data Analysis. Protein protein interactions can also be predicted from two normalized microarray data.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2015-10-12 05:45:36 UTC; vvlab
Repository: CRAN
Date/Publication: 2015-10-12 09:20:42

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Package FCNN4R updated to version 0.5.0 with previous version 0.4.1 dated 2015-08-26

Title: Fast Compressed Neural Networks for R
Description: 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, simulated annealing) 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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New package DiffusionRgqd with initial version 0.1.0
Package: DiffusionRgqd
Version: 0.1.0
Title: Inference and Analysis for Generalized Quadratic Diffusions
Description: Tools for performing inference and analysis on a class of quadratic diffusion processes for both scalar and bivariate diffusion systems. For scalar diffusions, a module is provided for solving first passage time problems for both time-homogeneous and time-inhomogeneous GQDs.
Authors@R: c(person("Etienne A.D.", "Pienaar", email = "etiennead@gmail.com",role = c("aut", "cre")), person("Melvin M.", "Varughese", email = "melvin.varughese@uct.ac.za",role = c("ctb")))
URL: https://github.com/eta21
BugReports: https://github.com/eta21/DiffusionRgqd/issues
MailingList: Please send questions and comments to etiennead@gmail.com.
Depends: R (>= 3.2.1)
Imports: Rcpp, RcppArmadillo, rgl
LinkingTo: Rcpp, RcppArmadillo
Suggests: plot3D, coda, fptdApprox
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2015-10-12 07:54:39 UTC; Etienne
Author: Etienne A.D. Pienaar [aut, cre], Melvin M. Varughese [ctb]
Maintainer: Etienne A.D. Pienaar <etiennead@gmail.com>
Repository: CRAN
Date/Publication: 2015-10-12 10:42:06

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Package ctsem updated to version 1.1.3 with previous version 1.1.1 dated 2015-08-10

Title: Continuous Time Structural Equation Modelling
Description: An easily accessible continuous (and discrete) time dynamic modelling package for panel and time series data, reliant upon the OpenMx. package (http://openmx.psyc.virginia.edu/) for computation. Most dynamic modelling approaches to longitudinal data rely on the assumption that time intervals between observations are consistent. When this assumption is adhered to, the data gathering process is necessarily limited to a specific schedule, and when broken, the resulting parameter estimates may be biased and reduced in power. Continuous time models are conceptually similar to vector autoregressive models (thus also the latent change models popularised in a structural equation modelling context), however by explicitly including the length of time between observations, continuous time models are freed from the assumption that measurement intervals are consistent. This allows: data to be gathered irregularly; the elimination of noise and bias due to varying measurement intervals; parsimonious structures for complex dynamics. The application of such a model in this SEM framework allows full-information maximum-likelihood estimates for both N = 1 and N > 1 cases, multiple measured indicators per latent process, and the flexibility to incorporate additional elements, including individual heterogeneity in the latent process and manifest intercepts, and time dependent and independent exogenous covariates. Furthermore, due to the SEM implementation we are able to estimate a random effects model where the impact of time dependent and time independent predictors can be assessed simultaneously, but without the classic problems of random effects models assuming no covariance between unit level effects and predictors.
Author: Manuel Voelkle [aut, cph] (Original development of continuous time model specification within OpenMx, advisor for further development), Han Oud [aut, cph] (Original development of continuous time model specification within OpenMx), Charles Driver [aut, cre, cph] (Further development of continuous time model specification within OpenMx, package development, documentation and maintenance)
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>

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Package stationaRy updated to version 0.4 with previous version 0.3 dated 2015-06-23

Title: Get Hourly Meteorological Data from Global Stations
Description: Selectively acquire hourly meteorological data from stations located all over the world.
Author: Richard Iannone [aut, cre]
Maintainer: Richard Iannone <riannone@me.com>

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New package rpnf with initial version 1.0.4
Package: rpnf
Type: Package
Title: Point and Figure Package
Version: 1.0.4
Date: 2015-10-11
Author: Sascha Herrmann
Maintainer: Sascha Herrmann <sascha.herrmann.consulting@gmail.com>
Description: A set of functions to analyze and print the development of a commodity using the Point and Figure (P&F) approach. A P&F processor can be used to calculate daily statistics for the time series. These statistics can be used for deeper investigations as well as to create plots. Plots can be generated as well known X/O Plots in plain TXT format, and additionally in a more graphical format.
License: GPL-3
Depends: R (>= 3.0.0)
Suggests: testthat
Collate: 'pnfplot.R' 'pnfplottxt.R' 'pnfprocessor.R' 'rpnf-package.R' 'box2lower.R' 'box2upper.R' 'getLogBoxsize.R' 'nextBox.R' 'nextReversal.R' 'quote2box.R' 'xo.processor.R' 'fallingBottom.R' 'maxBox.R' 'minBox.R' 'bp.signalprocessor.R' 'currentVPOBreakoutMethod.R' 'currentVPOReversalMethod.R' 'doubleBottom.R' 'doubleTop.R' 'fallingTop.R' 'raisingBottom.R' 'raisingTop.R' 'rs.signal.processor.R' 'signalanalyzer.R' 'xo.priceobjective.processor.R' 'xo.signalprocessor.R' 'xo.trendline.processor.R'
NeedsCompilation: no
Packaged: 2015-10-11 19:31:33 UTC; root
Repository: CRAN
Date/Publication: 2015-10-12 08:58:52

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Package deformula updated to version 0.1.1 with previous version 0.1.0 dated 2015-10-09

Title: Integration of One-Dimensional Functions with Double Exponential Formulas
Description: Numerical quadrature of functions of one variable over a finite or infinite interval with double exponential formulas.
Author: Hiroyuki Okamura
Maintainer: Hiroyuki Okamura <okamu@rel.hiroshima-u.ac.jp>

Diff between deformula versions 0.1.0 dated 2015-10-09 and 0.1.1 dated 2015-10-12

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Package apsimr updated to version 1.2 with previous version 1.1 dated 2015-07-29

Title: Edit, Run and Evaluate APSIM Simulations Easily Using R
Description: The Agricultural Production Systems sIMulator (APSIM) is a widely used simulator of agricultural systems. This package includes functions to create, edit and run APSIM simulations from R. It also includes functions to visualize the results of an APSIM simulation and perform sensitivity/uncertainty analysis of APSIM either via functions in the sensitivity package or by novel emulator-based functions. For more on APSIM including download instructions go to \url{www.apsim.info}.
Author: Bryan Stanfill
Maintainer: Bryan Stanfill <bstanfill2003@gmail.com>

Diff between apsimr versions 1.1 dated 2015-07-29 and 1.2 dated 2015-10-12

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