The R Project SVN R

R FAQ

R FAQ

Frequently Asked Questions on R

Frequently Asked Questions on R

Kurt Hornik

Kurt Hornik

Table of Contents

Table of Contents

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     A package which performs an exhaustive search for the best subsets of a

     A package which performs an exhaustive search for the best subsets of a

     given set of potential regressors, using a branch-and-bound algorithm,

     given set of potential regressors, using a branch-and-bound algorithm,

     and also performs searches using a number of less time-consuming

     and also performs searches using a number of less time-consuming

     techniques.

     techniques.

*lmtest*

*lmtest*

     A collection of tests on the assumptions of linear regression models

     A collection of tests on the assumptions of linear regression models

     from the book "The linear regression model under test" by W. Kraemer

     from the book "The linear regression model under test" by W. Kraemer

     and H. Sonnberger, 1986, Physica.

     and H. Sonnberger, 1986, Physica.

*multiv*

*multiv*

     Functions for hierarchical clustering, partitioning, bond energy

     Functions for hierarchical clustering, partitioning, bond energy

     algorithm, Sammon mapping, PCA and correspondence analysis.

     algorithm, Sammon mapping, PCA and correspondence analysis.

*nnet*

*nnet*

     Software for single hidden layer perceptrons ("feed-forward neural

     Software for single hidden layer perceptrons ("feed-forward neural

     networks"), and for multinomial log-linear models.  Contained in `VR'.

     networks"), and for multinomial log-linear models.  Contained in `VR'.

*norm*

*norm*

*stable*

*stable*

     Density, distribution, quantile and hazard functions of a stable

     Density, distribution, quantile and hazard functions of a stable

     variate; generalized linear models for the parameters of a stable

     variate; generalized linear models for the parameters of a stable

     distribution.

     distribution.

*survival5*

*survival5*

     Functions for survival analysis, version 5 (requires *splines* and

     Functions for survival analysis, version 5 (requires *splines* and

     suggests *date*), the main new feature being penalised (partial)

     suggests *date*), the main new feature being penalised (partial)

     likelihood.

     likelihood.