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Repository CRAN

by Buildvignettes False, Lazyload Yes, Ravi Varadhan, Needscompilation No , 2013
"... Description Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded i ..."
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Description Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded

Repository CRAN

by Contributions Katharine, M. Mullen, Lazyload Yes, Lazydata Yes
"... Repository/R-Forge/Project orgmassspecr Repository/R-Forge/Revision 38 Date/Publication 2010-09-09 16:54:28 R topics documented: OrgMassSpecR-package.................................. 2 ConvertPeptide....................................... 2 ..."
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Repository/R-Forge/Project orgmassspecr Repository/R-Forge/Revision 38 Date/Publication 2010-09-09 16:54:28 R topics documented: OrgMassSpecR-package.................................. 2 ConvertPeptide....................................... 2

Repository CRAN

by Daniel Caro, Lazydata Yes , 2012
"... Description Provides tools for importing and analyzing data from international student assessments ..."
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Description Provides tools for importing and analyzing data from international student assessments

Repository CRAN

by Abdolreza Mohammadi, Ernst Wit, Depends R , 2012
"... Description The R package BDgraph is a statistical tool for Bayesian model determination in undirected Gaussian graphical models. The Bayesian methodology is based on birth-death MCMC algorithm. The main function is ’bdmcmc ’ which is a birth-death MCMC algorithm for Bayesian model determination in ..."
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Description The R package BDgraph is a statistical tool for Bayesian model determination in undirected Gaussian graphical models. The Bayesian methodology is based on birth-death MCMC algorithm. The main function is ’bdmcmc ’ which is a birth-death MCMC algorithm for Bayesian model determination in undirected Gaussian graphical models.

Repository CRAN

by R. Mccloy, Maintainer Daniel R. Mccloy, Lazyload Yes, Lazydata Yes , 2012
"... Description phonR is an R package for phoneticians and phonologists,including functions for normalization and plotting of vowels. ..."
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Description phonR is an R package for phoneticians and phonologists,including functions for normalization and plotting of vowels.

Repository CRAN

by Stephen Horng-twu Lihn, Maintainer Stephen Horng-twu Lihn, Needscompilation No , 2013
"... R topics documented: LIHNPSD-package..................................... 3.N.............................................. 4 calcqq............................................ 4 density............................................ 5 dji_logr........................................... 5 generatepdf.. ..."
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R topics documented: LIHNPSD-package..................................... 3.N.............................................. 4 calcqq............................................ 4 density............................................ 5 dji_logr........................................... 5 generatepdf......................................... 6

Repository CRAN

by A. B. Olshen, Lazyload Yes, R Topics Documented
"... within each parental chromosome. This package should be considered to be in an alpha or beta phase. You should expect the API to be changing over time. Requirements This package requires external packages R.methodsS3 (> = 1.2.1), R.oo (> = 1.8.3), R.utils (>= 1.11.0), DNAcopy (> = 1.24.0 ..."
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within each parental chromosome. This package should be considered to be in an alpha or beta phase. You should expect the API to be changing over time. Requirements This package requires external packages R.methodsS3 (> = 1.2.1), R.oo (> = 1.8.3), R.utils (>= 1.11.0), DNAcopy (> = 1.24.0), utils, R.rsp (> = 0.7.3), and also suggests DNAcopy (> = 1.24.0), aroma.light (> = 1.22.0), matrixStats (> = 0.4.3), R.oo (> = 1.8.3), R.cache (> = 0.6.1), digest (>= 0.5.1), Hmisc (> = 3.8-3), ggplot2 (> = 0.8.9). Installation and updates To install this package, use install.packages("PSCBS"). To get started To get started, see: 1. segmentByCBS()- segments total copy-numbers, or any other unimodal genomic signals, using

Repository CRAN

by Curtis Storlie, Contributions From, Alexandre Janon, Maintainer Curtis Storlie, Alexandre Janon , 2012
"... regression surface approximations to calculate variance decomposition and total variance sensitivity indices. This package is useful for conducting sensitivity analysis of complex computer codes when model evaluations are somewhat expensive (e.g. take longer than a couple seconds to run) but a reaso ..."
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regression surface approximations to calculate variance decomposition and total variance sensitivity indices. This package is useful for conducting sensitivity analysis of complex computer codes when model evaluations are somewhat expensive (e.g. take longer than a couple seconds to run) but a reasonable number (50 or more) of model evaluations can be obtained at sampled input values.

Repository CRAN

by Drew Dimmery, Needscompilation No, R Topics Documented , 2013
"... Description This package provides the tools to undertake estimation in Regression Discontinuity Designs. Both sharp and fuzzy designs are supported. Estimation is accomplished using local linear regression. A provided function will utilize Imbens-Kalyanaraman optimal bandwidth calculation. A functio ..."
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Description This package provides the tools to undertake estimation in Regression Discontinuity Designs. Both sharp and fuzzy designs are supported. Estimation is accomplished using local linear regression. A provided function will utilize Imbens-Kalyanaraman optimal bandwidth calculation. A function is also included to test the assumption of no-sorting effects.

Repository CRAN

by Dai Feng, Curve Fitting, Needscompilation Yes , 2013
"... R topics documented: curve.polynomial.rjmcmc.................................. 2 mvn.bayes.......................................... 4 mvn.ub........................................... 5 mvt.ecme.......................................... 6 mvt.mcmc.......................................... 7 rMultin ..."
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R topics documented: curve.polynomial.rjmcmc.................................. 2 mvn.bayes.......................................... 4 mvn.ub........................................... 5 mvt.ecme.......................................... 6 mvt.mcmc.......................................... 7 rMultinom.......................................... 9 spatail.lme.mcmc...................................... 10 uvnm.rjmcmc........................................ 12
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