\name{corPagel} \alias{corPagel} \alias{coef.corPagel} \alias{corMatrix.corPagel} \title{Pagel's ``lambda'' Correlation Structure} \usage{ corPagel(value, phy, form = ~1, fixed = FALSE) \method{corMatrix}{corPagel}(object, covariate = getCovariate(object), corr = TRUE, ...) \method{coef}{corPagel}(object, unconstrained = TRUE, \dots) } \arguments{ \item{value}{the (initial) value of the parameter \eqn{\lambda}{lambda}.} \item{phy}{an object of class \code{"phylo"}.} \item{form}{(ignored).} \item{fixed}{a logical specifying whether \code{gls} should estimate \eqn{\lambda}{lambda} (the default) or keep it fixed.} \item{object}{an (initialized) object of class \code{"corPagel"}.} \item{covariate}{(ignored).} \item{corr}{a logical value specifying whether to return the correlation matrix (the default) or the variance-covariance matrix.} \item{unconstrained}{a logical value. If \code{TRUE} (the default), the coefficients are returned in unconstrained form (the same used in the optimization algorithm). If \code{FALSE} the coefficients are returned in ``natural'', possibly constrained, form.} \item{\dots}{further arguments passed to or from other methods.} } \description{ The correlation structure from the present model is derived from the Brownian motion model by multiplying the off-diagonal elements (i.e., the covariances) by \eqn{\lambda}{lambda}. The variances are thus the same than for a Brownian motion model. } \value{ an object of class \code{"corPagel"}, the coefficients from an object of this class, or the correlation matrix of an initialized object of this class. In most situations, only \code{corPagel} will be called by the user. } \author{Emmanuel Paradis} \references{ Freckleton, R. P., Harvey, P. H. and M. Pagel, M. (2002) Phylogenetic analysis and comparative data: a test and review of evidence. \emph{American Naturalist}, \bold{160}, 712--726. Pagel, M. (1999) Inferring the historical patterns of biological evolution. \emph{Nature}, \bold{401},877--884. } \keyword{models}