Sun, 07 Jun 2015

Package ramify updated to version 0.3.0 with previous version 0.2.0 dated 2015-04-13

Title: Additional Matrix Functionality
Description: Additional matrix functionality for R including: (1) wrappers for the base matrix function that allows matrices to be created from character strings and lists (the former is especially useful for creating block matrices), (ii) better default printing of large matrices, and (iii) a number of convenience functions for users more familiar with other scientific languages like Julia, Matlab/Octave, or Python+NumPy.
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>

Diff between ramify versions 0.2.0 dated 2015-04-13 and 0.3.0 dated 2015-06-07

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Package pgirmess updated to version 1.6.2 with previous version 1.6.1 dated 2015-06-06

Title: Data Analysis in Ecology
Description: Miscellaneous functions for data analysis in ecology, with special emphasis on spatial data.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

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Package ISwR updated to version 2.0-7 with previous version 2.0-6 dated 2012-03-22

Title: Introductory Statistics with R
Description: Data sets and scripts for text examples and exercises in P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534.
Author: Peter Dalgaard
Maintainer: Peter Dalgaard <pd.mes@cbs.dk>

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Package boot updated to version 1.3-16 with previous version 1.3-15 dated 2015-02-11

Title: Bootstrap Functions (Originally by Angelo Canty for S)
Description: Functions and datasets for bootstrapping from the book "Bootstrap Methods and Their Applications" by A. C. Davison and D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Author: Angelo Canty [aut], Brian Ripley [aut, trl, cre] (author of parallel support)
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>

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Package vdmR updated to version 0.1.1 with previous version 0.1.0 dated 2014-09-20

Title: Visual Data Mining Tools for R
Description: This provides web-based visual data-mining tools by adding interactive functions to 'ggplot2' graphics. Brushing and linking between the multiple plots is one of the main feature of this package. Currently scatter plots, histograms, parallel coordinate plots and choropleth maps are supported.
Author: Tomokazu Fujino
Maintainer: Tomokazu Fujino <fujino@fwu.ac.jp>

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New package tgcd with initial version 1.4
Package: tgcd
Type: Package
Title: Thermoluminescence Glow Curve Deconvolution
Version: 1.4
Date: 2015-06-06
Author: Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Jun Peng [aut, cre]
Maintainer: Jun Peng <pengjun10@mails.ucas.ac.cn>
Authors@R: c( person("Jorge", "More", role = "ctb"), person("Burton", "Garbow", role = "ctb"), person("Kenneth", "Hillstrom", role = "ctb"), person("John", "Burkardt", role = "ctb"), person("Jun", "Peng", role = c("aut","cre"), email="pengjun10@mails.ucas.ac.cn"))
Description: Deconvolving first-order thermoluminescence glow curves using a modified Levenberg-Marquardt algorithm. It provides the possibility of setting constraints or fixing any of parameters. User-provided initially-guessed values can be used for model initialization. It also offers an interactive way to initialize parameters by clicking with a mouse on a plot at positions where peak maxima should be located. The optimal estimate is obtained by "try-and-error".
License: GPL-2 | GPL-3
Depends: R (>= 3.0.1)
Packaged: 2015-06-06 09:06:10 UTC; pengjun
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-06-07 08:32:48

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Package statar updated to version 0.3.0 with previous version 0.2 dated 2015-06-03

Title: Tools Inspired by Stata to Manipulate Tabular Data
Description: A set of tools to explore data.frames (summarize, tabulate, xtile, pctile, binscatter) and work with panel data (elapsed quarters/month, lead/lag, fill in rows of values, rolling functions).
Author: Matthieu Gomez [aut, cre]
Maintainer: Matthieu Gomez <mattg@princeton.edu>

Diff between statar versions 0.2 dated 2015-06-03 and 0.3.0 dated 2015-06-07

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Package scrm updated to version 1.6.0-2 with previous version 1.5.0-1 dated 2015-04-11

Title: Simulating the Evolution of Biological Sequences
Description: A coalescent simulator that allows the rapid simulation of biological sequences under neutral models of evolution. Different to other coalescent based simulations, it has an optional approximation parameter that allows for high accuracy while maintaining a linear run time cost for long sequences. It is optimized for simulating massive data sets as produced by Next-Generation Sequencing technologies for up to several thousand sequences.
Author: Paul Staab [aut, cre, cph], Zhu Sha [aut, cph], Dirk Metzler [aut, cph, ths], Gerton Lunter [aut, cph, ths]
Maintainer: Paul Staab <develop@paulstaab.de>

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Package funtimes updated to version 1.1 with previous version 1.0 dated 2015-01-27

Title: Functions for Time Series Analysis
Description: Includes non-parametric estimators and tests for time series analysis. The functions allow to test for presence of possibly non-monotonic trends and for synchronism of trends in multiple time series, using modern bootstrap techniques and robust non-parametric difference-based estimators.
Author: Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>; Yulia R. Gel <ygl@utdallas.edu>; Xingyu Wang <x263wang@uwaterloo.ca>
Maintainer: Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>

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Package fbroc updated to version 0.2.1 with previous version 0.2.0 dated 2015-06-05

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description: Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>

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Package cquad updated to version 1.1 with previous version 1.0 dated 2015-01-05

Title: Conditional Maximum Likelihood for Quadratic Exponential Models for Binary Panel Data
Description: Estimation, based on conditional maximum likelihood, of the quadratic exponential model proposed by Bartolucci, F. & Nigro, V. (2010, Econometrica) and of a simplified and a modified version of this model. The quadratic exponential model is suitable for the analysis of binary longitudinal data when state dependence (further to the effect of the covariates and a time-fixed individual intercept) has to be taken into account. Therefore, this is an alternative to the dynamic logit model having the advantage of easily allowing conditional inference in order to eliminate the individual intercepts and then getting consistent estimates of the parameters of main interest (for the covariates and the lagged response). The simplified version of this model does not distinguish, as the original model does, between the last time occasion and the previous occasions. The modified version formulates in a different way the interaction terms and it may be used to test in a easy way state dependence as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2013, Econometric Reviews). The package also includes estimation of the dynamic logit model by a pseudo conditional estimator based on the quadratic exponential model, as proposed by Bartolucci, F. & Nigro, V. (2012, Journal of Econometrics).
Author: Francesco Bartolucci (University of Perugia), Claudia Pigini (University of Perugia)
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

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