This is the main package of Venables and Ripley’s MASS.

Function | Description |
---|---|

Null | Given a matrix `M` , finds a matrix `N` giving a basis for the null space.
That is, `t(N) \%*\% M` is the
0, and `N` has the maximum
number of linearly independent columns. |

Shepard | One form of nonmetric multidimensional scaling. |

addterm | Tries fitting all models that differ from the current model by adding a single term from those supplied, maintaining marginality. |

area | Integrates a function of one variable over a finite range using a recursive adaptive method. This function is mainly for demonstration purposes. |

as.fractions | Finds rational approximations to the components of a real numeric object using a standard continued fraction method. |

bandwidth.nrd | A well-supported rule of thumb for choosing the bandwidth of a Gaussian kernel density estimator. |

bcv | Uses biased cross-validation to select the bandwidth of a Gaussian kernel density estimator. |

boxcox | Computes and optionally plots profile log-likelihoods for the parameter of the Box-Cox power transformation. |

con2tr | Converts lists to data frames for use by `lattice` . |

contr.sdif | A coding for unordered factors based on successive differences. |

corresp | Finds the principal canonical correlation and corresponding row and column scores from a correspondence analysis of a two-way contingency table. |

cov.mcd, cov.mve, cov.rob | Compute a multivariate location and scale estimate with a
high breakdown point. This can be thought of as estimating the
mean and covariance of the good part of ... |

Start Free Trial

No credit card required