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.

Description The package enables to compute event-specific incidence rates for competing risks data, to compute rate ratios,eventspecific incidence proportions and cumulative incidence functions from these, and to plot these in a comprehensive multi-state type graphic.

Description CITAN is a library of functions useful in- but not limited to- quantitative research in the field of scientometrics. It contains various tools for preprocessing bibliographic data retrieved e.g. from Elsevier’s SciVerse Scopus and calculating bibliometric impact of individuals. Also, many functions dealing with Pareto-Type II (GPD) and Discretized Pareto-Type II statistical models are included (e.g. Zhang-Stephens and MLE estimators, goodness-of-fit and two-sample tests, confidence intervals for the theoretical Hirsch index etc.). They may be used to describe and analyze many phenomena encountered in the social sciences. Version 2011.08-1

Description This package implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner. License GPL-3

Description Cluster analysis of a set of variables. Variables can be quantitative, qualitative or a mixture of both.

R topics documented: calibrateEnsemble...................................... 2 calibrationSample...................................... 4 compareModels....................................... 5 EBMAforecast....................................... 6 ForecastData........................................ 7 makeForecastData...................................... 8

Description This package contains S3 and S4 functions for spatial multi-site stochastic generation of daily timeseries of temperature and precipitation. The implemented tools make use of Vectorial AutoRegressive models (VARs). The VAR is calibrated by daily instrumental ‘‘Gaussianized’ ’ time series and then works with monthly timeseries as input. Bugs/comments/questions/collaboration of any kind are warmly welcomed. Version 1.2.5.3 In views Environmetrics,TimeSeries

R topics documented: tclust-package........................................ 2 ctlcurves........................................... 2 DiscrFact.......................................... 5 discr_coords......................................... 6 geyser2........................................... 7 M5data........................................... 8 plot.ctlcurves........................................ 9 plot.DiscrFact........................................ 10 plot.tclust.......................................... 12 summary.DiscrFact..................................... 14 swissbank.......................................... 15 tclust............................................. 16 tkmeans........................................... 20 Index 23 1 2 ctlcurves tclust-package

R topics documented: robfilter-package...................................... 2 adore.filter.......................................... 3 const............................................. 7 const.Q........................................... 8 critvals............................................ 8 dfs.............................................. 9 dr.filter............................................ 10 dw.filter........................................... 12 hybrid.filter......................................... 16 1 2 robfilter-package lms.filter........................................... 19 lqd.filter........................................... 21 lts.filter........................................... 22 madore.filter......................................... 24