This is the main package of Venables and Ripley’s MASS.
|Null||Given a matrix |
|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 |
|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 ...|
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