[R] CRAN (and crantastic) updates this week

Crantastic cranatic at gmail.com
Mon Oct 6 00:40:05 CEST 2014


CRAN (and crantastic) updates this week

New packages
------------

* activity (1.0)
  Maintainer: Marcus Rowcliffe
  Author(s): Marcus Rowcliffe <marcus.rowcliffe at 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 <road2stat at gmail.com>, Dong-Sheng Cao <oriental-cds at 163.com>,
             Qing-Song Xu <dasongxu at 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 <rxdh at stanford.edu>, Joe Houpt
             <joseph.houpt at wright.edu>, Noah Silbert
             <noahpoah at gmail.com>, Leslie Blaha
             <Leslie.Blaha at wpafb.af.mil>, Thomas D. Wickens
             <twickens at 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 <wilarhen at gmail.com>, Carlos Sierra
             <csierra at 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 <mai at stat.fsu.edu>, Yi Yang <yiyang at umn.edu>,  Hui Zou
             <hzou at 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 <ajschumacher at 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)



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