R in a Nutshell

stats4

This package contains statistical functions using S4 methods and classes.

Functions

Function	Description
AIC	Calculates the Akaike information criterion for one or several fitted model objects for which a log-likelihood value can be obtained.
BIC	Calculates the Bayesian information criterion (BIC), also known as Schwarz’s Bayesian criterion (SBC), for one or several fitted model objects for which a log-likelihood value can be obtained, according to the formula −2 ∗ log-likelihood + npar ∗ log(nobs), where npar represents the number of parameters and nobs the number of observations in the fitted model.
coef	Extracts model coefficients from objects returned by modeling functions.
confint	Computes confidence intervals for one or more parameters in a fitted model.
logLik	Extracts the log-likelihood from a model object.
mle	Estimates parameters by the method of maximum likelihood.
plot	Generic function for plotting an R object.
profile	Investigates behavior of objective function near the solution represented by fitted.
summary	Generic function used to produce result summaries of the results of various model-fitting functions.
update	Updates and (by default) refits a model.
vcov	Returns the variance-covariance matrix of the main parameters of a fitted model object.