Fun with the R Grid Package

The R package surveillance

This document gives an introduction to the R-Package ’surveillance’ containing tools for outbreak detection in routinely collected surveillance data. The package contains an implementation of the procedures described by ̃Stroup et ̃al. (1989), Farrington et ̃al. (1996) and the system used at the Robert Koch Institute, Germany. For evaluation purposes, the package contains example data sets and fun...

The subselect R package

The subselect package addresses the issue of variable selection in different statistical contexts, among which exploratory data analyses; univariate or multivariate linear models; generalized linear models; principal components analysis; linear discriminant analysis, canonical correlation analysis. Selecting variable subsets requires the definition of a numerical criterion which measures the qu...

Meta-Analysis in R Using Package rmeta

Meta-Analysis means a statistical analysis on the results of their findings is to combine a large number of independent studies. Meta-Analysis software is needed to be done for convenience, Statistical Software for Meta-Analysis is available in many statistical packages available in the present study provide software R is for Meta-Analysis. First, a brief description of the Meta-Analysis, Stati...

Using the cherry R package

Improved Subset Autoregression: With R Package

The FitAR R (R Development Core Team 2008) package that is available on the Comprehensive R Archive Network is described. This package provides a comprehensive approach to fitting autoregressive and subset autoregressive time series. For long time series with complicated autocorrelation behavior, such as the monthly sunspot numbers, subset autoregression may prove more feasible and/or parsimoni...