Sat, 25 May 2019

Package WriteXLS updated to version 5.0.0 with previous version 4.1.0 dated 2019-02-26

Title: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
Description: Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be specified by the user.
Author: Marc Schwartz <marc_schwartz@me.com> and various authors for Perl modules listed in each .pm file.
Maintainer: Marc Schwartz <marc_schwartz@me.com>

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Package snakecase updated to version 0.11.0 with previous version 0.10.0 dated 2019-05-16

Title: Convert Strings into any Case
Description: A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
Author: Malte Grosser [aut, cre]
Maintainer: Malte Grosser <malte.grosser@gmail.com>

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Package sensitivity updated to version 1.16.0 with previous version 1.15.2 dated 2018-09-02

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and reliability sensitivity analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Sebastien Da Veiga, Thibault Delage, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

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Package Rlabkey updated to version 2.3.0 with previous version 2.2.5 dated 2019-03-14

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <http://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

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Package pks updated to version 0.4-1 with previous version 0.4-0 dated 2016-04-18

Title: Probabilistic Knowledge Structures
Description: Fitting and testing probabilistic knowledge structures, especially the basic local independence model (BLIM, Doignon & Flamagne, 1999), using the minimum discrepancy maximum likelihood (MDML) method (Heller & Wickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).
Author: Florian Wickelmaier [aut, cre], Juergen Heller [aut], Pasquale Anselmi [ctb]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

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Package OpenMx updated to version 2.13.1 with previous version 2.13.0 dated 2019-05-24

Title: Extended Structural Equation Modelling
Description: Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <http://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.
Author: Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Sarah Medland [cph], Carl F. Falk [cph], Matt Keller [cph], Manjunath B G [cph], The Regents of the University of California [cph], Lester Ingber [cph], Wong Shao Voon [cph], Juan Palacios [cph], Jiang Yang [cph], Gavin Band [cph], Yann Collet [cph], Facebook, Inc. [cph], Yuta Mori [cph], Shaun Purcell [cph], Christopher Chang [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between OpenMx versions 2.13.0 dated 2019-05-24 and 2.13.1 dated 2019-05-25

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Package nanotime updated to version 0.2.4 with previous version 0.2.3 dated 2018-09-30

Title: Nanosecond-Resolution Time for R
Description: Full 64-bit resolution date and time support with resolution up to nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type.
Author: Dirk Eddelbuettel and Leonardo Silvestri
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between nanotime versions 0.2.3 dated 2018-09-30 and 0.2.4 dated 2019-05-25

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Package rdataretriever updated to version 2.0.0 with previous version 1.0.0 dated 2017-03-12

Title: R Interface to the Data Retriever
Description: Provides an R interface to the Data Retriever <http://data-retriever.org/> via the Data Retriever's command line interface. The Data Retriever automates the tasks of finding, downloading, and cleaning public datasets, and then stores them in a local database.
Author: Daniel McGlinn [aut] (<https://orcid.org/0000-0003-2359-3526>), Pranita Sharma [aut] (<https://orcid.org/0000-0002-5871-380X>), David J Harris [aut] (<https://orcid.org/0000-0003-3332-9307>), Henry Senyondo [aut, cre] (<https://orcid.org/0000-0001-7105-5808>), Shawn Taylor [aut] (<https://orcid.org/0000-0002-6178-6903>), Harshit Bansal [aut] (<https://orcid.org/0000-0002-3285-812X>), Max Pohlman [aut], Ethan White [aut] (<https://orcid.org/0000-0001-6728-7745>)
Maintainer: Henry Senyondo <henrykironde@gmail.com>

Diff between rdataretriever versions 1.0.0 dated 2017-03-12 and 2.0.0 dated 2019-05-25

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Package IDmining updated to version 1.0.6 with previous version 1.0.5 dated 2018-08-08

Title: Intrinsic Dimension for Data Mining
Description: Contains techniques for mining large and high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily an integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.
Author: Jean Golay [aut, cre], Mohamed Laib [aut]
Maintainer: Jean Golay <jeangolay@gmail.com>

Diff between IDmining versions 1.0.5 dated 2018-08-08 and 1.0.6 dated 2019-05-25

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Package hsdar updated to version 1.0.0 with previous version 0.7.2 dated 2018-12-06

Title: Manage, Analyse and Simulate Hyperspectral Data
Description: Transformation of reflectance spectra, calculation of vegetation indices and red edge parameters, spectral resampling for hyperspectral remote sensing, simulation of reflectance and transmittance using the leaf reflectance model PROSPECT and the canopy reflectance model PROSAIL.
Author: Lukas W. Lehnert [cre, aut] (<https://orcid.org/0000-0002-5229-2282>), Hanna Meyer [ctb], Joerg Bendix [ctb]
Maintainer: Lukas W. Lehnert <lukaslehnert@googlemail.com>

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Package CFC updated to version 1.1.2 with previous version 1.1.0 dated 2017-06-21

Title: Cause-Specific Framework for Competing-Risk Analysis
Description: Numerical integration of cause-specific survival curves to arrive at cause-specific cumulative incidence functions, with three usage modes: 1) Convenient API for parametric survival regression followed by competing-risk analysis, 2) API for CFC, accepting user-specified survival functions in R, and 3) Same as 2, but accepting survival functions in C++.
Author: Mansour T.A. Sharabiani, Alireza S. Mahani
Maintainer: Alireza S. Mahani <alireza.s.mahani@gmail.com>

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Package rbacon updated to version 2.3.8 with previous version 2.3.7 dated 2019-02-13

Title: Age-Depth Modelling using Bayesian Statistics
Description: Bacon is an approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011) <doi:10.1214/11-BA618>.
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut], Judith Esquivel Vazquez [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package mdsOpt updated to version 0.4-1 with previous version 0.3-3 dated 2018-12-08

Title: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Description: Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl>, Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

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Package ReinforcementLearning updated to version 1.0.4 with previous version 1.0.3 dated 2019-04-21

Title: Model-Free Reinforcement Learning
Description: Performs model-free reinforcement learning in R. This implementation enables the learning of an optimal policy based on sample sequences consisting of states, actions and rewards. In addition, it supplies multiple predefined reinforcement learning algorithms, such as experience replay. Methodological details can be found in Sutton and Barto (1998) <ISBN:0262039249>.
Author: Nicolas Proellochs [aut, cre], Stefan Feuerriegel [aut]
Maintainer: Nicolas Proellochs <nicolas.proellochs@wi.jlug.de>

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More information about ReinforcementLearning at CRAN
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Package hergm updated to version 4.1-3 with previous version 4.1-2 dated 2019-05-08

Title: Hierarchical Exponential-Family Random Graph Models
Description: Hierarchical exponential-family random graph models with local dependence.
Author: Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [aut], Sergii Babkin <babkin.sergii@gmail.com> [aut], Jonathan Stewart <jonathan.stewart@rice.edu> [aut], Duy Vu <duy.vu@unimelb.edu.au> [aut], Pamela Luna <pamela.luna@rice.edu> [ctb]
Maintainer: Michael Schweinberger <michael.schweinberger@rice.edu>

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Package cRegulome updated to version 0.3.1 with previous version 0.3.0 dated 2019-01-03

Title: Obtain and Visualize Regulome-Gene Expression Correlations in Cancer
Description: Builds a 'SQLite' database file of pre-calculated transcription factor/microRNA-gene correlations (co-expression) in cancer from the Cistrome Cancer Liu et al. (2011) <doi:10.1186/gb-2011-12-8-r83> and 'miRCancerdb' databases (in press). Provides custom classes and functions to query, tidy and plot the correlation data.
Author: Mahmoud Ahmed [aut, cre] (<https://orcid.org/0000-0002-4377-6541>)
Maintainer: Mahmoud Ahmed <mahmoud.s.fahmy@students.kasralainy.edu.eg>

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More information about cRegulome at CRAN
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