Package: modiscloud
Type: Package
Title: R tools for processing Level 2 Cloud Mask products from MODIS
Version: 0.14
Date: 2013-02-08
Author: Nicholas J. Matzke, Dept. of Integrative Biology, U.C. Berkeley
Maintainer: Nicholas J. Matzke <matzke@berkeley.edu>
Depends: date, sp, sfsmisc, raster, rgdal
Description: Package for processing downloaded MODIS Cloud Product HDF
files and derived files. Specifically, MOD35_L2 cloud product
files, and the associated MOD03 geolocation files (for
MODIS-TERRA); and MYD35_L2 cloud product files, and the
associated MYD03 geolocation files (for MODIS-AQUA). The
package will be most effective if the user installs MRTSwath
(MODIS Reprojection Tool for swath products;
https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath),
and adds the directory with the MRTSwath executable to the
default R PATH by editing ~/.Rprofile.
URL: http://phylo.wikidot.com/modiscloud
License: GPL (>= 2)
LazyLoad: yes
ByteCompile: true
Packaged: 2013-02-08 21:56:23 UTC; nickm
Repository: CRAN
Date/Publication: 2013-02-09 07:43:26
Package: Demerelate
Version: 0.9
Date: 2016-05-25
Title: Functions to Calculate Relatedness on Diploid Genetic Data
Authors@R: c(person("Philipp","Kraemer",role=c("aut",
"cre"),email="Philipp.Kraemer@uni-oldenburg.de"),person("Gabriele","Gerlach",role="aut",email="Gabriele.Gerlach@uni-oldenburg.de"))
Maintainer: Philipp Kraemer <Philipp.Kraemer@uni-oldenburg.de>
Imports: grDevices, graphics, stats, utils, methods
Depends: R (>= 2.15.0), fts, sfsmisc, vegan, mlogit
Description: Functions to calculate pairwise relatedness on diploid genetic datasets. Different estimators for relatedness can be combined with information on geographical distances. Information on heterozygosity, allele- and genotype diversity as well as genetic F-statistics are provided for each population.
License: GPL (>= 2)
URL: http://www.r-project.org
Packaged: 2016-05-26 13:38:14 UTC; philipp
NeedsCompilation: no
Author: Philipp Kraemer [aut, cre],
Gabriele Gerlach [aut]
Repository: CRAN
Date/Publication: 2016-05-31 11:10:12
Package: ICEbox
Type: Package
Title: Individual Conditional Expectation Plot Toolbox
Version: 1.1
Date: 2016-04-21
Author: Alex Goldstein, Adam Kapelner, Justin Bleich
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>
Description: Implements Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. ICE plots refine Friedman's partial dependence plot by graphing the functional relationship between the predicted response and a covariate of interest for individual observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate of interest, suggesting where and to what extent they may exist.
License: GPL-2 | GPL-3
Depends: sfsmisc
Suggests: randomForest, MASS
NeedsCompilation: no
Packaged: 2016-04-21 18:57:54 UTC; Kapelner
Repository: CRAN
Date/Publication: 2016-04-21 22:12:52
Package: CryptRndTest
Type: Package
Title: Statistical Tests for Cryptographic Randomness
Version: 1.2.2
Date: 2016-02-24
Author: Haydar Demirhan
Maintainer: Haydar Demirhan <haydarde@hacettepe.edu.tr>
Description: Performs cryptographic randomness tests on a sequence of random
integers or bits. Included tests are greatest common divisor, birthday spacings,
book stack, adaptive chi-square, topological binary, and three random walk
tests. Tests except greatest common divisor and birthday spacings are not
covered by standard test suites. In addition to the chi-square goodness-of-fit
test, results of Anderson-Darling, Kolmogorov-Smirnov, and Jarque-Bera tests are
also generated by some of the cryptographic randomness tests.
Depends: MissMech, kSamples, sfsmisc, Rmpfr, parallel
Imports: LambertW, gmp, tseries, methods
Suggests: R.rsp
VignetteBuilder: R.rsp
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-25 00:43:41 UTC; e27752
Repository: CRAN
Date/Publication: 2016-02-25 05:21:43
Package: TTS
Type: Package
Title: Master Curve Estimates Corresponding to Time-Temperature
Superposition
Version: 1.0
Date: 2015-09-14
Author: Antonio Meneses <antoniomenesesfreire@hotmail.com>,
Salvador Naya <salva@udc.es>, Javier Tarrio-Saavedra <jtarrio@udc.es>
Maintainer: Antonio Meneses <antoniomenesesfreire@hotmail.com>
Depends: R (>= 3.0.1), mgcv, sfsmisc, splines
Description: Time-Temperature Superposition analysis is often applied to frequency modulated data obtained by Dynamic
Mechanic Analysis (DMA) and Rheometry in the analytical chemistry and physics
areas. These techniques provide estimates of material mechanical properties
(such as moduli) at different temperatures in a wider range of time. This
package provides the Time-Temperature superposition Master Curve at a referred
temperature by the three methods: the two wider used methods, Arrhenius based
methods and WLF, and the newer methodology based on derivatives procedure.
The Master Curve is smoothed by B-splines basis. The package output is composed
of plots of experimental data, horizontal and vertical shifts, TTS data, and TTS
data fitted using B-splines with bootstrap confidence intervals.
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: no
Packaged: 2015-09-26 01:45:56 UTC; usuario
Repository: CRAN
Date/Publication: 2015-09-26 09:11:32
Package: polycor
Title: Polychoric and Polyserial Correlations
Date: 2010/03/25
Version: 0.7-8
Depends: R (>= 1.9.0), mvtnorm, sfsmisc
Author: John Fox
Description: Computes polychoric and polyserial correlations by quick
"two-step" methods or ML, optionally with standard errors;
tetrachoric and biserial correlations are special cases.
Maintainer: John Fox <jfox@mcmaster.ca>
License: GPL (>= 2)
Repository: CRAN
Repository/R-Forge/Project: polycor
Repository/R-Forge/Revision: 6
Date/Publication: 2010-04-03 07:59:45
Packaged: 2010-03-25 21:46:10 UTC; rforge
Encoding: latin1
Package: simrel
Type: Package
Title: Linear Model Data Simulation and Design of Computer Experiments
Version: 1.0-1
Date: 2014-11-28
Author: Solve Sæbø
Maintainer: Solve Sæbø <solve.sabo@nmbu.no>
Description: Facilitates data simulation from a random regression model where the data properties can be controlled by a few input parameters. The data simulation is based on the concept of relevant latent components and relevant predictors, and was developed for the purpose of testing methods for variable selection for prediction. Included are also functions for designing computer experiments in order to investigate the effects of the data properties on the performance of the tested methods. The design is constructed using the Multi-level Binary Replacement (MBR) design approach which makes it possible to set up fractional designs for multi-factor problems with potentially many levels for each factor.
License: GPL-2
Repository: CRAN
Depends: FrF2, sfsmisc
Suggests: pls
Packaged: 2014-11-28 23:11:24 UTC; solvsa
NeedsCompilation: no
Date/Publication: 2014-11-29 07:59:54
providing 
.