Support Functions and Datasets for Venables and Ripley's MASS
Huber Proposal 2 Robust Estimator of Location and/or Scale
Calculate the MLE of the Gamma Dispersion Parameter in a GLM Fit
Biased Cross-Validation for Bandwidth Selection
Plot a Histogram with Automatic Bin Width Selection
Try All One-Term Additions to a Model
Likelihood Ratio Tests for Negative Binomial GLMs
Adaptive Numerical Integration
Bandwidth for density() via Normal Reference Distribution
Box-Cox Transformations for Linear Models
Convert Lists to Data Frames for use by lattice
Confidence Intervals for Model Parameters
Successive Differences Contrast Coding
Simple Correspondence Analysis
Resistant Estimation of Multivariate Location and Scatter
Rational Approximation
Covariance Estimation for Multivariate t Distribution
Transform an Allowable Formula for 'loglm' into one for 'terms'
Predict Doses for Binomial Assay model
Try All One-Term Deletions from a Model
Plots with Geometrically Equal Scales
Maximum-likelihood Fitting of Univariate Distributions
Huber M-estimator of Location with MAD Scale
Estimate the Shape Parameter of the Gamma Distribution in a GLM Fit
Generalized Inverse of a Matrix
Change a Negative Binomial fit to a GLM fit
Fit a Negative Binomial Generalized Linear Model
Fit Generalized Linear Mixed Models via PQL
Robust Fitting of Linear Models
Kruskal's Non-metric Multidimensional Scaling
Two-Dimensional Kernel Density Estimation
Linear Discriminant Analysis
Histograms or Density Plots of Multiple Groups
Fit Linear Models by Generalized Least Squares
Ridge Regression
Fit Log-Linear Models by Iterative Proportional Scaling
Fit Log-Linear Models by Iterative Proportional Scaling -- Internal fu...
Estimate log Transformation Parameter
Resistant Regression
Internal MASS functions
Multiple Correspondence Analysis
Simulate from a Multivariate Normal Distribution
Family function for Negative Binomial GLMs
Null Spaces of Matrices
Produce Pairwise Scatterplots from an 'lda' Fit
Parallel Coordinates Plot
Plot Method for Class 'lda'
Plot Method for Objects of Class 'mca'
Ordered Logistic or Probit Regression
Predict Method for glmmPQL Fits
Classify Multivariate Observations by Linear Discrimination
Summary Method Function for Objects of Class 'loglm'
Predict from an lqs Fit
Predict Method for Class 'mca'
Classify from Quadratic Discriminant Analysis
Method for Profiling glm Objects
Quadratic Discriminant Analysis
Rational Approximation
Convert a Formula Transformed by 'denumerate'
Relative Curvature Measures for Non-Linear Regression
Simulate Negative Binomial Variates
Sammon's Non-Linear Mapping
Extract Standardized Residuals from a Linear Model
Choose a model by AIC in a Stepwise Algorithm
Extract Studentized Residuals from a Linear Model
Summary Method Function for Objects of Class 'negbin'
Summary Method for Robust Linear Models
Estimate theta of the Negative Binomial
Plot a Histogram
Unbiased Cross-Validation for Bandwidth Selection
Bandwidth Selection by Pilot Estimation of Derivatives
Write a Matrix or Data Frame
Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).