[R] topical guide to R packages

From: Vivek Rao <rvivekrao_at_yahoo.com>
Date: Sun 17 Jul 2005 - 03:17:30 EST


I would like to see R packages arranged by topic. CRAN Task Views are at
http://lib.stat.cmu.edu/R/CRAN/src/contrib/Views/ , but I'd like something more detailed. For example, the IMSL Fortran library, version 4 is easy to navigate and has procedures arranged according to following topics:

   Basic Statistics
   Regression
   Correlation
   Analysis of Variance
   Categorical and Discrete Data Analysis    Nonparametric Statistics
   Tests of Goodness of FIt and Randomness    Time Series Analysis and Forecasting
   Covariance Structures and Factor Analysis    Discriminant Analysis
   Cluster Analysis
   Sampling
   Survival Analysis, Life Testing, and Reliability    Multidimensional Scaling
   Density and Hazard Estimation
   Line Printer Graphics
   Probability Distribution Functions and Inverses    Random Number Generation
   Utilities

As a start, here are the R packages I know of for time series analysis:

dyn: Time Series Regression
dynlm: Dynamic Linear Regression
GeneTS: Microarray Time Series and Network Analysis its: Irregular Time Series
sspir: State Space Models in R
tseries: Time series analysis and computational finance
urca: Unit root and cointegration tests for time series data
uroot: Unit root tests and graphics for seasonal time series

I would like to see lists corresponding to other categories of IMSL. Another classification system is GAMS at http://gams.nist.gov/Classes.plain . Section L, "Statistics, probability", would be relevant.

Regards,
Vivek Rao



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