Thu, 20 Aug 2015

Package qqtest updated to version 1.1 with previous version 1.0 dated 2014-12-13

Title: Self Calibrating Quantile-Quantile Plots for Visual Testing
Description: Provides the function qqtest which incorporates uncertainty in its qqplot display(s) so that the user might have a better sense of the evidence against the specified distributional hypothesis. qqtest draws a quantile quantile plot for visually assessing whether the data come from a test distribution that has been defined in one of many ways. The vertical axis plots the data quantiles, the horizontal those of a test distribution. The default behaviour generates 1000 samples from the test distribution and overlays the plot with shaded pointwise interval estimates for the ordered quantiles from the test distribution. A small number of independently generated exemplar quantile plots can also be overlaid. Both the interval estimates and the exemplars provide different comparative information to assess the evidence provided by the qqplot for or against the hypothesis that the data come from the test distribution (default is normal or gaussian). Finally, a visual test of significance (a lineup plot) can also be displayed to test the null hypothesis that the data come from the test distribution.
Author: Wayne Oldford [aut, cre]
Maintainer: Wayne Oldford <rwoldford@uwaterloo.ca>

Diff between qqtest versions 1.0 dated 2014-12-13 and 1.1 dated 2015-08-20

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Package lme4 updated to version 1.1-9 with previous version 1.1-8 dated 2015-06-22

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut], Martin Maechler [aut], Ben Bolker [aut, cre], Steven Walker [aut], Rune Haubo Bojesen Christensen [ctb], Henrik Singmann [ctb], Bin Dai [ctb], Gabor Grothendieck [ctb]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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Package weirs updated to version 0.25 with previous version 0.24 dated 2015-04-20

Title: A Hydraulics Package to Compute Open-Channel Flow over Weirs
Description: Provides computational support for flow over weirs, such as sharp-crested, broad-crested, and embankments. Initially, the package supports broad- and sharp-crested weirs.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

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Package pomp updated to version 1.1.1.1 with previous version 0.65-1 dated 2015-06-01

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, state-space models). 'pomp' provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a platform for the implementation of new inference methods.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package marked updated to version 1.1.10 with previous version 1.1.9 dated 2015-08-19

Title: Mark-Recapture Analysis for Survival and Abundance Estimation
Description: Functions for fitting various models to capture-recapture data including fixed and mixed-effects Cormack-Jolly-Seber(CJS) for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. Includes a CJS models that concurrently estimates and corrects for tag loss. Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty.
Author: Jeff Laake <jeff.laake@noaa.gov>, Devin Johnson <devin.johnson@noaa.gov>, Paul Conn <paul.conn@noaa.gov>
Maintainer: Jeff Laake <Jeff.Laake@noaa.gov>

Diff between marked versions 1.1.9 dated 2015-08-19 and 1.1.10 dated 2015-08-20

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Package CopyNumber450kCancer updated to version 1.0.4 with previous version 1.0.3 dated 2015-06-18

Title: Baseline Correction for Copy Number Data from Cancer Samples
Description: The 450k arrays are frequently used in the epigenetic studies, the copy number calling from the 450k data is possible but it faces some difficulties in cancer samples regarding the determination of the copy number status due to the false sample centering and baseline shifting. Without solving this issue the CN calling will be inaccurate. CopyNumber450kCancer-package was designed to correct the baseline in cancer samples using the Maximum Density Peak Estimation (MDPE) method. The main advantages for CopyNumber450kCancer-package are: Fast (few seconds per sample), high accuracy rate, in-sample correction, no input parameters needed, low computer sources required, and adaptable for 450k-similar technologies.
Author: Nour-al-dain Marzouka [aut, cre]
Maintainer: Nour-al-dain Marzouka <nour.marzouka@medsci.uu.se>

Diff between CopyNumber450kCancer versions 1.0.3 dated 2015-06-18 and 1.0.4 dated 2015-08-20

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Package CollocInfer updated to version 1.0.2 with previous version 1.0.1 dated 2014-05-07

Title: Collocation Inference for Dynamic Systems
Description: These functions implement collocation-inference for continuous-time and discrete-time stochastic processes. They provide model-based smoothing, gradient-matching, generalized profiling and forwards prediction error methods.
Author: Giles Hooker <gjh27@cornell.edu>, Luo Xiao <lx42@cornell.edu>, James Ramsay <ramsay@psych.mcgill.ca>
Maintainer: Giles Hooker <gjh27@cornell.edu>

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Package BlakerCI updated to version 1.0-5 with previous version 1.0-4 dated 2014-05-07

Title: Blaker's Binomial Confidence Limits
Description: Fast and accurate calculation of Blaker's binomial confidence limits (and some related stuff).
Author: Jan Klaschka
Maintainer: Jan Klaschka <klaschka@cs.cas.cz>

Diff between BlakerCI versions 1.0-4 dated 2014-05-07 and 1.0-5 dated 2015-08-20

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Package SeqFeatR updated to version 0.2.0 with previous version 0.1.7 dated 2015-02-11

Title: A Tool to Associate FASTA Sequences and Features
Description: Provides user friendly methods for the identification of sequence patterns that are statistically significantly associated with a property of the sequence. For instance, SeqFeatR allows to identify viral immune escape mutations for hosts of given HLA types. The underlying statistical method is Fisher's exact test, with appropriate corrections for multiple testing, or Bayes. Patterns may be point mutations or n-tuple of mutations. SeqFeatR offers several ways to visualize the results of the statistical analyses.
Author: Bettina Budeus
Maintainer: Bettina Budeus <bettina.budeus@stud.uni-due.de>

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Package mmpp updated to version 0.4 with previous version 0.1 dated 2015-02-20

Title: Various Similarity and Distance Metrics for Marked Point Processes
Description: Compute similarities and distances between marked point processes.
Author: Hideitsu Hino, Ken Takano, Yuki Yoshikawa, and Noboru Murata
Maintainer: Hideitsu Hino <hinohide@cs.tsukuba.ac.jp>

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Package FluOMatic (with last version 1.0) was removed from CRAN

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

2013-03-22 1.0

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Package LGS (with last version 0.91) was removed from CRAN

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

2011-06-17 0.91

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Package statnetWeb updated to version 0.3.5 with previous version 0.3.4 dated 2015-06-17

Title: A Graphical User Interface for Network Modeling with 'Statnet'
Description: A graphical user interface for network modeling with the 'statnet' software.
Author: Emily Beylerian [cre, aut], Kirk Li [ctb], Samuel Jenness [ctb], Martina Morris [ctb]
Maintainer: Emily Beylerian <ebey@uw.edu>

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Package GEVStableGarch updated to version 1.1 with previous version 1.0 dated 2014-03-16

Title: ARMA-GARCH/APARCH Models with GEV and Stable Distributions
Description: Package for simulation and estimation of ARMA-GARCH/APARCH models with GEV and stable distributions.
Author: Thiago Sousa [aut, cre], Cira Otiniano [ctb], Silvia Lopes [ctb], Diethelm Wuertz [ctb, cph]
Maintainer: Thiago Sousa <thiagoestatistico@gmail.com>

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Package gamclass updated to version 0.56 with previous version 0.55 dated 2014-08-23

Title: Functions and Data for a Course on Modern Regression and Classification
Description: Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. Attention is restricted to a relatively small number of methods, often (misleadingly in my view) referred to as algorithms.
Author: John Maindonald
Maintainer: John Maindonald <john.maindonald@anu.edu.au>

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Package crawl updated to version 1.5 with previous version 1.4-1 dated 2013-07-26

Title: Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
Description: The (C)orrelated (RA)ndom (W)alk (L)ibrary of R functions was designed for fitting continuous-time correlated random walk (CTCRW) models with time indexed covariates. The model is fit using the Kalman-Filter on a state space version of the continuous-time stochastic movement process.
Author: Devin S. Johnson
Maintainer: Devin S. Johnson <devin.johnson@noaa.gov>

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Package boxr updated to version 0.2.9 with previous version 0.2.6 dated 2015-05-26

Title: Interface for the 'Box.com API'
Description: An R interface for the remote file hosting service 'Box' (https://www.box.com/). In addition to uploading and downloading files, this package includes functions which mirror base R operations for local files, (e.g. box_load(), box_save(), box_read(), box_setwd(), etc.), as well as 'git' style functions for entire directories (e.g. box_fetch(), box_push()).
Author: Brendan Rocks [aut, cre]
Maintainer: Brendan Rocks <rocks.brendan@gmail.com>

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Package bootsPLS updated to version 1.0.3 with previous version 1.0.2 dated 2015-03-23

Title: Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification
Description: Applicable to any classification problem with more than 2 classes. It relies on bootstrap subsamplings of sPLS-DA and provides tools to select the most stable variables (defined as the ones consistently selected over the bootstrap subsamplings) and to predict the class of test samples.
Author: Florian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]
Maintainer: Florian Rohart <florian.rohart@gmail.com>

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