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[R] topical guide to R packages

Vivek Rao

2005-07-16

Replies:

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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