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
When I draw a ROC curve, the xlabel is '1-spec:', and ylabel is 'sens:' . My question is: can I specify them to '1-specificity', and 'sensitivity' ? thanks for your help. Lu. __________________________________________________ [[alternative HTML version deleted]]
On 7/16/2005 1:17 PM, Vivek Rao wrote:> 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.I don't see a Task View for time series, so why don't you write it, for a start? Duncan Murdoch