Description Provides tools for importing and analyzing data from international student assessments

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.

Description phonR is an R package for phoneticians and phonologists,including functions for normalization and plotting of vowels.

R topics documented: LIHNPSD-package..................................... 3.N.............................................. 4 calcqq............................................ 4 density............................................ 5 dji_logr........................................... 5 generatepdf......................................... 6

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

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.

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.

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

Description This package contains R functions for estimating the blood oxygenation level dependent (BOLD) effect by using functional Magnetic Resonance Imaging (fMRI) data, based on adaptive Gauss Markov random fields, for real as well as simulated data. The implemented simulations make use of efficient Markov Chain Monte Carlo methods. License GPL-2 Depends R(> = 2.15.2), Matrix, coda, mvtnorm, MCMCpack, spatstat,parallel

Description An R package ‘‘fanc’ ’ computes the penalized maximum likelihood estimates of factor loadings and unique variances for various tuning parameters. The pathwise coordinate descent along with EM algorithm is used. This package also includes a new graphical tool which outputs path diagram, goodness-of-fit indices and model selection criteria for each regularization parameter. The user can change the regularization parameter by manipulating scrollbars, which is helpful to find a suitable value of regularization parameter.