Fri, 02 Sep 2016

New package TreeBUGS with initial version 0.6.1
Package: TreeBUGS
Version: 0.6.1
Date: 2016-08-29
Title: Hierarchical Multinomial Processing Tree Modeling
Authors@R: c(person("Daniel","Heck",email="heck@uni-mannheim.de",role=c("aut","cre")), person("Nina", "Arnold", email="arnold@uni-mannheim.de", role = c("aut","dtc")), person("Denis", "Arnold", email="denis.arnold@uni-tuebingen.de", role = c("aut")))
Author: Daniel Heck [aut, cre], Nina Arnold [aut, dtc], Denis Arnold [aut]
Maintainer: Daniel Heck <heck@uni-mannheim.de>
Depends: R (>= 3.0.0), runjags, stats, graphics, utils, grDevices, coda, parallel, rjags
Imports: Rcpp (>= 0.12.6)
Suggests: knitr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer, 2010) and the beta-MPT approach (Smith & Batchelder, 2010) to model heterogeneity of participants. MPT models are conventiently specified by an .eqn-file as used by other MPT software. Data is either provided as comma-separated file (.csv) or directly in R. Models are either fitted by calling JAGS (Plummer, 2003) or by an MPT-tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests of heterogeneity and MPT-tailored summaries and plotting functions.
License: GPL-2
URL: https://github.com/denis-arnold/TreeBUGS
RoxygenNote: 5.0.1
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2016-09-02 19:35:49 UTC; daniel
Repository: CRAN
Date/Publication: 2016-09-02 23:33:01

More information about TreeBUGS at CRAN
Permanent link

New package nimble with initial version 0.6
Package: nimble
Title: Flexible BUGS-Compatible System for Hierarchical Statistical Modeling and Algorithm Development
Description: Flexible application of algorithms to models specified in the BUGS language. Algorithms can be written in the NIMBLE language and made available to any model.
Version: 0.6
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Author: Perry de Valpine, Christopher Paciorek, Daniel Turek, Cliff Anderson- Bergman, Duncan Temple Lang
Depends: R (>= 3.1.2)
Imports: methods,igraph,coda
Suggests: testthat,R2WinBUGS,rjags,rstan,xtable,abind,ggplot2
URL: http://r-nimble.org
SystemRequirements: GNU make
License: BSD_3_clause + file LICENSE
Note: For convenience, the package includes the necessary header files for the Eigen distribution. (This is all that is needed to use that functionality.) You can use an alternative installation of Eigen on your system or the one we provide. The license for the Eigen code is very permissive and allows us to distribute it with this package. See http://eigen.tuxfamily.org/index.php? title=Main_Page and also the License section on that page.
LazyData: false
Collate: config.R all_utils.R options.R distributions_inputList.R distributions_processInputList.R distributions_implementations.R BUGS_BUGSdecl.R BUGS_contexts.R BUGS_nimbleGraph.R BUGS_modelDef.R BUGS_model.R BUGS_graphNodeMaps.R BUGS_readBUGS.R BUGS_testBUGS.R BUGS_getDependencies.R BUGS_utils.R BUGS_mathCompatibility.R genCpp_exprClass.R genCpp_operatorLists.R genCpp_RparseTree2exprClasses.R genCpp_initSizes.R genCpp_buildIntermediates.R genCpp_processSpecificCalls.R genCpp_sizeProcessing.R genCpp_insertAssertions.R genCpp_maps.R genCpp_liftMaps.R genCpp_eigenization.R genCpp_addDebugMarks.R genCpp_generateCpp.R RCfunction_core.R RCfunction_compile.R nimbleFunction_util.R nimbleFunction_core.R nimbleFunction_nodeFunction.R nimbleFunction_nodeFunctionNew.R nimbleFunction_Rexecution.R nimbleFunction_compile.R nimbleFunction_keywordProcessing.R types_util.R types_symbolTable.R types_modelValues.R types_modelValuesAccessor.R types_modelVariableAccessor.R types_nimbleFunctionList.R types_nodeFxnVector.R types_numericLists.R cppDefs_utils.R cppDefs_variables.R cppDefs_core.R cppDefs_namedObjects.R cppDefs_BUGSmodel.R cppDefs_RCfunction.R cppDefs_nimbleFunction.R cppDefs_modelValues.R cppDefs_cppProject.R cppDefs_outputCppFromRparseTree.R cppInterfaces_utils.R cppInterfaces_models.R cppInterfaces_modelValues.R cppInterfaces_nimbleFunctions.R cppInterfaces_otherTypes.R nimbleProject.R initializeModel.R MCMC_utils.R MCMC_configuration.R MCMC_build.R MCMC_run.R MCMC_samplers.R MCMC_conjugacy.R MCMC_suite.R MCMC_comparisons.R MCMC_autoBlock.R MCEM_build.R filtering_auxiliary.R filtering_liuwest.R filtering_enkf.R filtering_bootstrap.R optimTools.R NF_utils.R miscFunctions.R makevars.R setNimbleInternalFunctions.R registration.R nimble-package.r zzz.R
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-09-02 05:14:20 UTC; paciorek
Repository: CRAN
Date/Publication: 2016-09-02 23:22:27

More information about nimble at CRAN
Permanent link

Package icd updated to version 2.1 with previous version 2.0.1 dated 2016-04-15

Title: Tools for Working with ICD-9 and ICD-10 Codes, and Finding Comorbidities
Description: Calculate comorbidities, Charlson scores, perform fast and accurate validation, conversion, manipulation, filtering and comparison of ICD-9 and ICD-10 codes. Common ambiguities and code formats are handled. This package enables a work flow from raw lists of ICD codes in hospital billing databases to comorbidities. ICD-9 and ICD-10 comorbidity mappings from Quan (Deyo and Elixhauser versions), Elixhauser and AHRQ included. This package replaces icd9, which can now be uninstalled.
Author: Jack O. Wasey [aut, cre, cph], William Murphy [ctb] (Van Walraven scores), R Core Team [ctb, cph] (m4 macro for OpenMP detection in configure)
Maintainer: Jack O. Wasey <jack@jackwasey.com>

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More information about icd at CRAN
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Package UpSetR updated to version 1.2.4 with previous version 1.2.3 dated 2016-08-01

Title: A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Description: Creates visualizations of intersecting sets using a novel matrix design, along with visualizations of several common set, element and attribute related tasks.
Author: Jake Conway [cre], Nils Gehlenborg [aut]
Maintainer: Jake Conway <jake_conway@student.uml.edu>

Diff between UpSetR versions 1.2.3 dated 2016-08-01 and 1.2.4 dated 2016-09-02

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Package SWMPr updated to version 2.1.7 with previous version 2.1.5 dated 2016-03-28

Title: Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System. These tools address common challenges associated with continuous time series data for environmental decision making.
Author: Marcus W. Beck [aut, cre]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

Diff between SWMPr versions 2.1.5 dated 2016-03-28 and 2.1.7 dated 2016-09-02

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New package spex with initial version 0.1.0
Package: spex
Type: Package
Title: Spatial Extent as Polygons with Projection
Version: 0.1.0
Authors@R: person("Michael D.","Sumner", role = c("aut", "cre"), email = "mdsumner@gmail.com")
Description: Functions to produce a fully fledged 'Spatial' object extent as a 'SpatialPolygonsDataFrame'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
Imports: methods, raster, sp, stats
RoxygenNote: 5.0.1
URL: https://github.com/mdsumner/spex
BugReports: https://github.com/mdsumner/spex/issues
Suggests: covr, testthat
NeedsCompilation: no
Packaged: 2016-09-02 12:47:00 UTC; root
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-02 23:11:47

More information about spex at CRAN
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Package rprev updated to version 0.2.2 with previous version 0.2.0 dated 2016-07-13

Title: Estimating Disease Prevalence from Registry Data
Description: Estimates disease prevalence for a given index date, using existing registry data extended with Monte Carlo simulations.
Author: Simon Crouch [aut], Stephanie Lax [aut], Stuart Lacy [cre, aut]
Maintainer: Stuart Lacy <stuart.lacy@york.ac.uk>

Diff between rprev versions 0.2.0 dated 2016-07-13 and 0.2.2 dated 2016-09-02

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Package rminer updated to version 1.4.2 with previous version 1.4.1 dated 2015-07-18

Title: Data Mining Classification and Regression Methods
Description: Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.2 new NMAE metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models/algorithms, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics (improved mmetric function); 1.2 - new input importance methods (improved Importance function); 1.0 - first version.
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>

Diff between rminer versions 1.4.1 dated 2015-07-18 and 1.4.2 dated 2016-09-02

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Package readstata13 updated to version 0.8.3 with previous version 0.8.2 dated 2016-02-19

Title: Import Stata Data Files
Description: Function to read and write the Stata file format.
Author: Jan Marvin Garbuszus [aut], Sebastian Jeworutzki [aut, cre], R Core Team [cph], Magnus Thor Torfason [ctb]
Maintainer: Sebastian Jeworutzki <Sebastian.Jeworutzki@ruhr-uni-bochum.de>

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New package nhstplot with initial version 1.0.0
Package: nhstplot
Type: Package
Title: Plot Null Hypothesis Significance Tests
Version: 1.0.0
Authors@R: person("Nils", "Myszkowski", email = "nmyszkowski@pace.edu", role = c("aut", "cre"))
Description: Illustrate graphically the most common Null Hypothesis Significance Testing procedures. More specifically, this package provides functions to plot Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests, by plotting the probability density under the null hypothesis as a function of the different test statistic values. Although highly flexible (color theme, fonts, etc.), only the minimal number of arguments (observed test statistic, degrees of freedom) are necessary for a clear and useful graph to be plotted, with the observed test statistic and the p value, as well as their corresponding value labels. The axes are automatically scaled to present the relevant part and the overall shape of the probability density function. This package is especially intended for education purposes, as it provides a helpful support to help explain the Null Hypothesis Significance Testing process, its use and/or shortcomings.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.3.1)
Imports: ggplot2 (>= 2.1.0), stats (>= 3.3.1), grDevices (>= 3.3.1)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-02 14:46:23 UTC; Nils
Author: Nils Myszkowski [aut, cre]
Maintainer: Nils Myszkowski <nmyszkowski@pace.edu>
Repository: CRAN
Date/Publication: 2016-09-02 21:33:25

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Package LTRCtrees updated to version 0.1.5 with previous version 0.1.0 dated 2016-06-13

Title: Survival Trees to Fit Left-Truncated and Right-Censored Survival Data
Description: Recursive partition algorithms designed for fitting survival tree with left-truncated and right censored (LTRC) data. Such LTRC trees can also be used to fit survival tree with time-varying covariates.
Author: Wei Fu [aut, cre], Jeffrey Simonoff [aut]
Maintainer: Wei Fu <weifu.scott@gmail.com>

Diff between LTRCtrees versions 0.1.0 dated 2016-06-13 and 0.1.5 dated 2016-09-02

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New package madr with initial version 0.1.0
Package: madr
Type: Package
Title: Model Averaged Double Robust Estimation
Version: 0.1.0
Author: Matthew Cefalu
Maintainer: Matthew Cefalu <Matthew_Cefalu@rand.org>
Description: Estimates average treatment effects using model average double robust (MA-DR) estimation. The MA-DR estimator is defined as weighted average of double robust estimators, where each double robust estimator corresponds to a specific choice of the outcome model and the propensity score model. The MA-DR estimator extend the desirable double robustness property by achieving consistency under the much weaker assumption that either the true propensity score model or the true outcome model be within a specified, possibly large, class of models.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-02 15:32:36 UTC; mcefalu
Repository: CRAN
Date/Publication: 2016-09-02 21:45:09

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Package lakemorpho updated to version 1.0.3 with previous version 1.0.2 dated 2016-05-13

Title: Lake Morphometry Metrics in R
Description: Lake morphometry metrics are used by limnologists to understand, among other things, the ecological processes in a lake. Traditionally, these metrics are calculated by hand, with planimeters, and increasingly with commercial GIS products. All of these methods work; however, they are either outdated, difficult to reproduce, or require expensive licenses to use. The \code{lakemorpho} package provides the tools to calculate a typical suite of these metrics from an input elevation model and lake polygon. The metrics currently supported are: fetch, maximum length, maximum width, mean width, maximum depth, mean depth, shoreline development, shoreline length, surface area, and volume.
Author: Jeffrey W. Hollister [aut, cre]
Maintainer: Jeffrey W. Hollister <hollister.jeff@epa.gov>

Diff between lakemorpho versions 1.0.2 dated 2016-05-13 and 1.0.3 dated 2016-09-02

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Package FunChisq updated to version 2.3.3 with previous version 2.3.2 dated 2016-09-01

Title: Chi-Square and Exact Tests for Non-Parametric Functional Dependencies
Description: Statistical hypothesis testing methods for non-parametric functional dependencies using asymptotic chi-square or exact statistics. These tests were motivated to reveal evidence for causality based on functional dependencies. They include asymptotic functional chi-square tests, an exact functional test, a comparative functional chi-square test, and also a comparative chi-square test. The normalized non-constant functional chi-square test was used by Best Performer NMSUSongLab in HPN-DREAM (DREAM8) Breast Cancer Network Inference Challenges. For continuous data, these tests offer an advantage over regression analysis when a parametric functional form cannot be assumed; for categorical data, they provide a novel means to assess directional dependencies not possible with symmetrical Pearson's chi-square or Fisher's exact tests.
Author: Yang Zhang, Hua Zhong, and Joe Song
Maintainer: Joe Song <joemsong@cs.nmsu.edu>

Diff between FunChisq versions 2.3.2 dated 2016-09-01 and 2.3.3 dated 2016-09-02

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Package erah updated to version 1.0.2 with previous version 1.0.1 dated 2016-04-22

Title: Automated Spectral Deconvolution, Alignment, and Metabolite Identification in GC/MS-Based Untargeted Metabolomics
Description: Automated compound deconvolution, alignment across samples, and identification of metabolites by spectral library matching in Gas Chromatography - Mass spectrometry (GC-MS) untargeted metabolomics. eRah outputs a table with compound names, matching scores and the integrated area of the compound for each sample.
Author: Xavier Domingo-Almenara, Sara Samino, Maria Vinaixa, Alexandre Perera, Oscar Yanes
Maintainer: Xavier Domingo-Almenara <xavier.domingo@urv.cat>

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Package drfit updated to version 0.6.7 with previous version 0.6.4 dated 2015-10-07

Title: Dose-Response Data Evaluation
Description: A somewhat outdated package of basic and easy-to-use functions for fitting dose-response curves to continuous dose-response data, calculating some (eco)toxicological parameters and plotting the results. Please consider using the more powerful and actively developed 'drc' package. Functions that are fitted are the cumulative density function of the lognormal distribution (probit fit), of the logistic distribution (logit fit), of the weibull distribution (weibull fit) and a linear-logistic model ('linlogit' fit), derived from the latter, which is used to describe data showing stimulation at low doses (hormesis). In addition, functions checking, plotting and retrieving dose-response data retrieved from a database accessed via 'RODBC' are included. As an alternative to the original fitting methods, the algorithms from the 'drc' package can be used.
Author: Johannes Ranke [aut, cre]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package Canopy updated to version 1.1.1 with previous version 1.0.0 dated 2015-10-29

Title: Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal and Spatial Clonal Evolutionary History by Next-Generation Sequencing
Description: A statistical framework and computational procedure for identifying the sub-populations within a tumor, determining the mutation profiles of each subpopulation, and inferring the tumor's phylogenetic history. The input are variant allele frequencies (VAFs) of somatic single nucleotide alterations (SNAs) along with allele-specific coverage ratios between the tumor and matched normal sample for somatic copy number alterations (CNAs). These quantities can be directly taken from the output of existing software. Canopy provides a general mathematical framework for pooling data across samples and sites to infer the underlying parameters. For SNAs that fall within CNA regions, Canopy infers their temporal ordering and resolves their phase. When there are multiple evolutionary configurations consistent with the data, Canopy outputs all configurations along with their confidence assessment.
Author: Yuchao Jiang, Nancy R. Zhang
Maintainer: Yuchao Jiang <yuchaoj@wharton.upenn.edu>

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Package splus2R updated to version 1.2-2 with previous version 1.2-1 dated 2016-05-20

Title: Supplemental S-PLUS Functionality in R
Description: Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R.
Author: William Constantine, Tim Hesterberg, Knut Wittkowski, Tingting Song, Stephen Kaluzny
Maintainer: Stephen Kaluzny <skaluzny@tibco.com>

Diff between splus2R versions 1.2-1 dated 2016-05-20 and 1.2-2 dated 2016-09-02

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Package reconstructr updated to version 1.1.1 with previous version 1.1.0 dated 2015-05-31

Title: Session Reconstruction and Analysis
Description: Functions to aid in reconstructing sessions and efficiently calculating an array of metrics from the resulting data, including bounce rate, time-on-page, and session length. Although primarily designed for web data and analytics, its approach is plausibly applicable to other domains.
Author: Oliver Keyes
Maintainer: Oliver Keyes <ironholds@gmail.com>

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Package treeclim updated to version 2.0.0 with previous version 1.0.16 dated 2016-03-14

Title: Numerical Calibration of Proxy-Climate Relationships
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology.
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@wzw.tum.de>

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Package SOMbrero updated to version 1.2 with previous version 1.1 dated 2015-11-04

Title: SOM Bound to Realize Euclidean and Relational Outputs
Description: The stochastic (also called on-line) version of the Self-Organising Map (SOM) algorithm is provided. Different versions of the algorithm are implemented, for numeric and relational data and for contingency tables. The package also contains many plotting features (to help the user interpret the results) and a graphical user interface based on shiny.
Author: Laura Bendhaiba [aut], Julien Boelaert [aut], Jerome Mariette [aut], Madalina Olteanu [aut], Fabrice Rossi [aut], Nathalie Villa-Vialaneix [aut, cre]
Maintainer: Nathalie Villa-Vialaneix <nathalie.villa@toulouse.inra.fr>

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Package RLumModel updated to version 0.1.2 with previous version 0.1.1 dated 2016-05-03

Title: Solving Ordinary Differential Equations to Understand Luminescence
Description: A collection of functions to simulate luminescence signals in the mineral quartz based on published models.
Author: Johannes Friedrich [aut, trl, cre], Sebastian Kreutzer [aut, ths], Christoph Schmidt [aut, ths]
Maintainer: Johannes Friedrich <johannes.friedrich@uni-bayreuth.de>

Diff between RLumModel versions 0.1.1 dated 2016-05-03 and 0.1.2 dated 2016-09-02

 DESCRIPTION                        |   17 +++++-----
 MD5                                |   41 +++++++++++++-----------
 NEWS                               |   62 +++++++++++++++++++++++++++++++++++--
 R/RLumModel-package.R              |   12 ++++---
 R/model_LuminescenceSignals.R      |   44 +++++++++++++-------------
 R/set_ODE.R                        |   15 +-------
 R/set_ODE_LM_OSL.R                 |    5 --
 R/set_pars.R                       |    8 ++--
 R/simulate_CW_OSL.R                |    4 +-
 R/simulate_LM_OSL.R                |    4 +-
 R/simulate_RF.R                    |   13 ++++---
 R/simulate_illumination.R          |    6 ++-
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Package npsf updated to version 0.1.9 with previous version 0.1.8 dated 2016-07-05

Title: Nonparametric and Stochastic Efficiency and Productivity Analysis
Description: Provides a variety of tools for nonparametric and parametric efficiency measurement.
Author: Oleg Badunenko [aut, cre], Yaryna Kolomiytseva [aut], Pavlo Mozharovskyi [aut]
Maintainer: Oleg Badunenko <obadunen@uni-koeln.de>

Diff between npsf versions 0.1.8 dated 2016-07-05 and 0.1.9 dated 2016-09-02

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Package EffectStars updated to version 1.7 with previous version 1.6 dated 2016-02-29

Title: Visualization of Categorical Response Models
Description: Notice: The package EffectStars2 provides a more up-to-date implementation of effect stars! EffectStars provides functions to visualize regression models with categorical response. The effects of the variables are plotted with star plots in order to allow for an optical impression of the fitted model.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@stat.uni-muenchen.de>

Diff between EffectStars versions 1.6 dated 2016-02-29 and 1.7 dated 2016-09-02

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Package dtwclust updated to version 2.2.0 with previous version 2.1.2 dated 2016-06-06

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 2.1.2 dated 2016-06-06 and 2.2.0 dated 2016-09-02

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Package pnea (with last version 1.2.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-01-12 1.2.4
2015-12-19 1.2.3
2015-12-11 1.2.2
2015-12-02 1.2.1
2015-11-23 1.2.0
2015-09-30 1.1.1
2015-09-09 1.1.0
2015-08-29 1.0.1

Permanent link
New package XRJulia with initial version 0.7
Package: XRJulia
Type: Package
Title: Structured Interface to Julia
Version: 0.7
Date: 2016-08-27
Author: John M. Chambers
Maintainer: John Chambers <jmc@r-project.org>
Description: A Julia interface structured according to the general form described in package XR and in the book "Extending R".
License: GPL (>= 2)
Imports: methods, XR
NeedsCompilation: no
Packaged: 2016-09-01 22:09:28 UTC; jmc
Repository: CRAN
Date/Publication: 2016-09-02 12:11:43

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Package paleobioDB updated to version 0.5.0 with previous version 0.3 dated 2014-11-24

Title: Download and Process Data from the Paleobiology Database
Description: Includes 19 functions to wrap each endpoint of the PaleobioDB API, plus 8 functions to visualize and process the fossil data. The API documentation for the Paleobiology Database can be found in <http://paleobiodb.org/data1.1/>.
Author: Sara Varela [aut, cre], Javier González Hernández [aut], Luciano Fabris Sgarbi [aut]
Maintainer: Sara Varela <svarela@paleobiogeography.org>

Diff between paleobioDB versions 0.3 dated 2014-11-24 and 0.5.0 dated 2016-09-02

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New package pdp with initial version 0.0.1
Package: pdp
Type: Package
Title: Partial Dependence Functions
Version: 0.0.1
Date: 2016-09-01
Authors@R: person("Brandon", "Greenwell", email = "greenwell.brandon@gmail.com", role = c("aut", "cre"))
Description: A general framework for creating partial dependence plots from various types machine learning models in R.
License: GPL (>= 2)
URL: https://github.com/bgreenwell/partial
BugReports: https://github.com/bgreenwell/partial/issues
Depends: R (>= 3.2.5)
Suggests: e1071, kernlab, nnet, party, partykit, randomForest, rpart, testthat, xgboost
Imports: grDevices, lattice, magrittr, mgcv, plyr, stats, viridis
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-02 00:36:22 UTC; w108bmg
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-02 12:19:13

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Package multimark updated to version 2.0.0 with previous version 1.3.2 dated 2016-02-12

Title: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Description: Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive ``marks'', such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks.
Author: Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library, https://github.com/najela/matrix.h), Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib), Cleve Moler [ctb] (C original linpack library, http://www.kkant.net/geist/ranlib/), Arjun Gopalaswamy [ctb] (modified snippets of R package SPACECAP code)
Maintainer: Brett T. McClintock <brett.mcclintock@noaa.gov>

Diff between multimark versions 1.3.2 dated 2016-02-12 and 2.0.0 dated 2016-09-02

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New package FPCA2D with initial version 1.0
Package: FPCA2D
Type: Package
Title: Two Dimensional Functional Principal Component Analysis
Version: 1.0
Date: 2016-09-01
Author: Nan Lin, Momiao Xiong
Maintainer: Nan Lin <Nan.Lin@uth.tmc.edu>
Description: Compute the two dimension functional principal component scores for a series of two dimension images.
License: GPL-3
Depends: graphics,grDevices,stats,utils,corpcor
Packaged: 2016-09-02 01:52:08 UTC; nlin
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-02 12:21:45

More information about FPCA2D at CRAN
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