Description: An R package for fixation and saccade detection in eye movement recordings. Eye movements consist of alternating saccades and fixations. This package implements a dispersion-based algorithm (I-DT) proposed by Salvucci & Goldberg (2000) which detects fixation duration and position.

Title: Evaluates the Empirical Characteristic Function for Multivariate
Authors@R: person("Guillermo", "Basulto-Elias", email = "guillermobasulto@gmail.com", role = c("aut", "cre"))
Description: Evaluates the empirical characteristic function of univariate and multivariate samples.
This package uses 'RcppArmadillo' for fast evaluation. It is also possible to export the code to be used in other packages at 'C++' level.
Suggests: testthat (>= 2.1.0), spelling, covr
Author: Guillermo Basulto-Elias [aut, cre]

Title: Empirical Probability Density Functions and Empirical Cumulative
Description: Implements empirical probability density functions (continuous functions) and empirical cumulative distribution functions (step functions or continuous). Currently, univariate only.

Title: Probability Distributions as Models of Data
Description: Computes continuous (not step) empirical (and nonparametric) probability density, cumulative distribution and quantile functions. Supports univariate, multivariate and conditional probability distributions, some kernel smoothing features and weighted data (possibly useful mixed with fuzzy clustering). Can compute multivariate and conditional probabilities. Also, can compute conditional medians, quantiles and modes.
Suggests: intoo, bivariate, fclust, mgcv, gam, moments

Bundle: empiricalBayes
Contains: HighProbability localFDR
Version: 2.0
Date:	2008-03-05
Author: David R. Bickel , Zahra Montazeri
Maintainer: David. R. Bickel <DavidBickel.66846716@bloglines.com>
BundleDescription: EmpiricalBayes provides a simple solution to the extreme 		   multiple testing problem by estimating local false
discovery rates. It contains two packages, 				   localFDR and HighProbability. Given a vector of p-			   values, localFDR estimates local false discovery rates 		   and HighProbability determines which p-values are low 		   enough that their alternative hypotheses can be 			   considered highly probable .
License: Mozilla Public License 1.1
Packaged: Wed May  7 16:51:03 2008; hornik