CRAN (and crantastic) updates this week New packages ------------
* activity (1.0) Maintainer: Marcus Rowcliffe Author(s): Marcus Rowcliffe <marcus.rowcli...@ioz.ac.uk> License: GPL-3 http://crantastic.org/packages/activity Provides functions to fit kernel density functions to animal activity time data; plot activity distributions; quantify overall levels of activity; statistically compare activity metrics through bootstrapping; and evaluate variation in linear variables with time (or other circular variables). * atmcmc (1.0) Maintainer: Jinyoung Yang Author(s): Jinyoung Yang License: GPL (>= 2) http://crantastic.org/packages/atmcmc Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC algorithm, to converge to a specified target distribution and estimate means of functionals. * blocksdesign (1.1) Maintainer: Rodney Edmondson Author(s): R. N. Edmondson License: GPL (>= 2) http://crantastic.org/packages/blocksdesign Nested block designs for unstructured treatment sets where blocks can be repeatedly nested and treatments can have different levels of replication. Blocks strata are optimized hierarchically with each set of nested blocks optimized within the levels of the preceding set. Block sizes are equal if the number of blocks exactly divides the number of plots, otherwise they differ by at most one plot. The design output is a data table giving a randomised allocation of treatments to blocks together with a plan table showing treatments in blocks and a set of blocks-by-treatments incidence matrices, one for each blocks stratum. * checkpoint (0.3.2) Maintainer: Andrie de Vries Author(s): Revolution Analytics License: GPL-2 http://crantastic.org/packages/checkpoint The goal of checkpoint is to solve the problem of package reproducibility in R. Specifically, checkpoint allows you to install packages as they existed on CRAN on a specific snapshot date as if you had a CRAN time machine. To achieve reproducibility, the checkpoint() function installs the packages required or called by your project and scripts to a local library exactly as they existed at the specified point in time. Only those packages are available to your project, thereby avoiding any package updates that came later and may have altered your results. In this way, anyone using checkpoint's checkpoint() can ensure the reproducibility of your scripts or projects at any time. To create the snapshot archives, once a day (at midnight UTC) we refresh the Austria CRAN mirror, on the "Managed R Archived Network" server (http://mran.revolutionanalytics.com/). Immediately after completion of the rsync mirror process, we take a snapshot, thus creating the archive. Snapshot archives exist starting from 2014-09-17. * DynNom (1.0) Maintainer: Amirhossein Jalali Author(s): Amirhossein Jalali, Alberto Alvarez-Iglesias, John Newell License: GPL-2 http://crantastic.org/packages/DynNom The DynNom function makes it possible to present the results of an lm or glm model object as a dynamic nomogram that can be displayed in an R Studio panel or web browser. * enpls (1.0) Maintainer: Xiao Nan Author(s): Nan Xiao <road2s...@gmail.com>, Dong-Sheng Cao <oriental-...@163.com>, Qing-Song Xu <dason...@gmail.com> License: GPL (>= 2) http://crantastic.org/packages/enpls R package for ensemble partial least squares regression, a unified framework for feature selection, outlier detection, and ensemble learning. * gender (0.4.1) Maintainer: Lincoln Mullen Author(s): Lincoln Mullen [aut, cre], Cameron Blevins [ctb], Ben Schmidt [ctb] License: MIT + file LICENSE http://crantastic.org/packages/gender Encodes gender based on names and dates of birth, using either the Social Security Administration's data set of first names by year of birth or Census Bureau data from 1789 to 1940, both from the United States of America. By using these data sets instead of lists of male and female names, this package is able to more accurately guess the gender of a name, and it is able to report the probability that a name was male or female. * lazyeval (0.1.9) Maintainer: Hadley Wickham Author(s): Hadley Wickham [aut, cre], RStudio [cph] License: GPL-3 http://crantastic.org/packages/lazyeval A disciplined approach to non-standard evaluation. * mdsdt (1.0) Maintainer: Robert X.D. Hawkins Author(s): Robert X.D. Hawkins <r...@stanford.edu>, Joe Houpt <joseph.ho...@wright.edu>, Noah Silbert <noahp...@gmail.com>, Leslie Blaha <leslie.bl...@wpafb.af.mil>, Thomas D. Wickens <twick...@socrates.berkeley.edu> License: GPL (>= 2) http://crantastic.org/packages/mdsdt This package contains a series of tools associated with General Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 4x4 and more general confusion matrices, associated plotting and model comparison tools, and tests of marginal response invariance and report independence. * measuRing (0.1) Maintainer: Wilson Lara Author(s): Wilson Lara <wilar...@gmail.com>, Carlos Sierra <csie...@bgc-jena.mpg.de> License: GPL-3 http://crantastic.org/packages/measuRing This package assists in the identification of ring borders on scanned image sections from dendrochronological samples. It processes the image section and computes luminance data from images producing a matrix of gray values and a time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. The package provides functions to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to negative extreme values in the smoothed time-series of gray values. * msda (1.0.1) Maintainer: Yi Yang Author(s): Qing Mai <m...@stat.fsu.edu>, Yi Yang <yiy...@umn.edu>, Hui Zou <h...@stat.umn.edu> License: GPL-2 http://crantastic.org/packages/msda Efficient procedures for computing a new multi-class sparse discriminant analysis method that estimates all discriminant directions simultaneously. * mycor (0.1) Maintainer: Keon-Woong Moon Author(s): Keon-Woong Moon [aut, cre] License: CC0 http://crantastic.org/packages/mycor Perform correlation and linear regression test among the numeric columns in a data frame automatically and make plots using pairs or lattice::parallelplot. * repra (0.4.1) Maintainer: Eduardo Ibanez Author(s): Eduardo Ibanez [aut, cre], National Renewable Energy Laboratory [cph] License: MIT + file LICENSE http://crantastic.org/packages/repra This package includes methods to calculate resource adequacy metrics in power systems. These methods are based in the notion of loss-of-load probability (LOLP) and include the treatment of conventional and variable renewable generators. * rFDSN (0.0.0) Maintainer: Daniel Bowman Author(s): Daniel C. Bowman [aut, cre] License: GPL (>= 3) http://crantastic.org/packages/rFDSN This package facilitates searching for and downloading seismic time series in miniSEED format (a minimalist version of the Standard for the Exchange of Earthquake Data) from International Federation of Digital Seismograph Networks repositories. This package can also be used to gather information about seismic networks (stations, channels, locations, etc) and find historical earthquake data (origins, magnitudes, etc). * rjstat (0.2) Maintainer: Aaron Schumacher Author(s): Aaron Schumacher <ajschumac...@gmail.com>, HÃ¥kon Malmedal License: MIT + file LICENSE http://crantastic.org/packages/rjstat Read and write the JSON-stat format (http://json-stat.org) to and from (lists of) R data frames. Not all features are supported, especially the extensive metadata features of JSON-stat. * robustDA (1.0) Maintainer: Charles Bouveyron Author(s): Charles Bouveyron & Stephane Girard License: GPL-2 http://crantastic.org/packages/robustDA Robust mixture discriminant analysis (RMDA, Bouveyron & Girard, 2009) allows to build a robust supervised classifier from learning data with label noise. The idea of the proposed method is to confront an unsupervised modeling of the data with the supervised information carried by the labels of the learning data in order to detect inconsistencies. The method is able afterward to build a robust classifier taking into account the detected inconsistencies into the labels. * saccades (0.1) Maintainer: Titus von der Malsburg Author(s): Titus von der Malsburg [aut, cph, cre] License: GPL-2 http://crantastic.org/packages/saccades Functions for detecting eye fixations in raw eye-tracking data. The detection is done using a velocity-based algorithm for saccade detection proposed by Ralf Engbert and Reinhold Kliegl in 2003. The algorithm labels segments as saccades when the velocity of the eye movement exceeds a certain threshold. Anything between two saccades is considered a fixation. Thus the algorithm is not appropriate for data containing episodes of smooth pursuit eye movements. * SQDA (1.0) Maintainer: Jiehuan Sun Author(s): Jiehuan Sun License: GPL-3 http://crantastic.org/packages/SQDA Sparse Quadratic Discriminant Analysis (SQDA) can be performed. In SQDA, the covariance matrix are assumed to be block-diagonal.And, for each block, sparsity assumption is imposed on the covariance matrix. It is useful in high-dimensional setting. * stabs (0.1-0) Maintainer: Benjamin Hofner Author(s): Benjamin Hofner [aut, cre], Torsten Hothorn [aut] License: GPL-2 http://crantastic.org/packages/stabs Resampling procedures to assess the stability of selected variables with additional finite sample error control for high-dimensional variable selection procedures such as Lasso or boosting * WRS2 (0.1-0) Maintainer: Patrick Mair Author(s): Patrick Mair [cre, aut], Felix Schoenbrodt [aut], Rand Wilcox [aut] License: GPL-2 http://crantastic.org/packages/WRS2 A user-friendly version of Wilcox' robust statistics functions (WRS package on GitHub). It implements robust tests for ANOVA and ANCOVA as described in R. Wilcox (2012) 'Introduction to Robust Estimation and Hypothesis Testing'. Updated packages ---------------- ASMap (0.3-1), blocksdesign (1.1), BMA (3.18.1), boot (1.3-13), carcass (1.3), ConConPiWiFun (0.4.4), ConConPiWiFun (0.4.3), copula (0.999-12), corpcor (1.6.7), data.table (1.9.4), deducorrect (1.3-5), DoE.base (0.26-3), DoE.wrapper (0.8-10), eaf (1.06), EffectStars (1.5), EpiModel (1.1), exsic (1.1.1), fpc (2.1-9), fscaret (0.8.6.2), FuzzyNumbers (0.3-5), gamlr (1.12-1), gapmap (0.0.2), geostatsp (1.1.0), ggdendro (0.1-15), gMCP (0.8-8), gvcm.cat (1.7), HIBAG (1.2.4), hierfstat (0.04-14), httpRequest (0.0.10), lavaan (0.5-17), log4r (0.2), magicaxis (1.9.3), MASS (7.3-35), mboost (2.4-0), mco (1.0-15), mfp (1.5.0), mi (0.09-19), multcomp (1.3-7), nleqslv (2.5), PowerTOST (1.2-01), protViz (0.2.9), qdap (2.2.0), quantmod (0.4-1), R2HTML (2.3.1), RandomFields (3.0.44), rbamtools (2.10.0), RcmdrPlugin.EZR (1.26), Rcpp (0.11.3), repra (0.4.1), rgl (0.94.1143), RHive (2.0-0.2), rsm (2.07), ScottKnott (1.2-5), semTools (0.4-6), shiny (0.10.2.1), shiny (0.10.2), shrink (1.2.0), SightabilityModel (1.3), simPH (1.2.3), simsem (0.5-8), soiltexture (1.2.19), splancs (2.01-36), sprint (1.0.7), spTimer (1.0-3), steepness (0.2-2), stylo (0.5.8-1), testthat (0.9.1), vec2dtransf (1.1), WriteXLS (3.5.1) This email provided as a service for the R community by http://crantastic.org. 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