| % File src/library/stats/man/glm.summaries.Rd |
| % Part of the R package, https://www.R-project.org |
| % Copyright 1995-2007 R Core Team |
| % Distributed under GPL 2 or later |
| |
| \name{glm.summaries} |
| \alias{family.glm} |
| \alias{residuals.glm} |
| \title{Accessing Generalized Linear Model Fits} |
| \usage{ |
| \method{family}{glm}(object, \dots) |
| |
| \method{residuals}{glm}(object, type = c("deviance", "pearson", "working", |
| "response", "partial"), \dots) |
| } |
| \arguments{ |
| \item{object}{an object of class \code{glm}, typically the result of |
| a call to \code{\link{glm}}.} |
| \item{type}{the type of residuals which should be returned. |
| The alternatives are: \code{"deviance"} (default), \code{"pearson"}, |
| \code{"working"}, \code{"response"}, and \code{"partial"}. |
| Can be abbreviated.} |
| \item{\dots}{further arguments passed to or from other methods.} |
| } |
| \description{ |
| These functions are all \code{\link{methods}} for class \code{glm} or |
| \code{summary.glm} objects. |
| } |
| \details{ |
| The references define the types of residuals: Davison & Snell is a |
| good reference for the usages of each. |
| |
| The partial residuals are a matrix of working residuals, with each |
| column formed by omitting a term from the model. |
| |
| How \code{residuals} treats cases with missing values in the original |
| fit is determined by the \code{na.action} argument of that fit. |
| If \code{na.action = na.omit} omitted cases will not appear in the |
| residuals, whereas if \code{na.action = na.exclude} they will appear, |
| with residual value \code{NA}. See also \code{\link{naresid}}. |
| |
| For fits done with \code{y = FALSE} the response values are computed |
| from other components. |
| } |
| \seealso{ |
| \code{\link{glm}} for computing \code{glm.obj}, \code{\link{anova.glm}}; |
| the corresponding \emph{generic} functions, \code{\link{summary.glm}}, |
| \code{\link{coef}}, \code{\link{deviance}}, |
| \code{\link{df.residual}}, |
| \code{\link{effects}}, \code{\link{fitted}}, |
| \code{\link{residuals}}. |
| |
| \link{influence.measures} for deletion diagnostics, including |
| standardized (\code{\link{rstandard}}) |
| and studentized (\code{\link{rstudent}}) residuals. |
| } |
| \references{ |
| Davison, A. C. and Snell, E. J. (1991) |
| \emph{Residuals and diagnostics.} In: Statistical Theory |
| and Modelling. In Honour of Sir David Cox, FRS, eds. |
| Hinkley, D. V., Reid, N. and Snell, E. J., Chapman & Hall. |
| |
| Hastie, T. J. and Pregibon, D. (1992) |
| \emph{Generalized linear models.} |
| Chapter 6 of \emph{Statistical Models in S} |
| eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole. |
| |
| McCullagh P. and Nelder, J. A. (1989) |
| \emph{Generalized Linear Models.} |
| London: Chapman and Hall. |
| } |
| \keyword{models} |
| \keyword{regression} |
| |