Description Usage Arguments Details Value Authors Examples
logLike.pars return loglike for give parameters. pi is on normal scale with G groups
1 | logLike.pars(pi,coef,sp.form,sp.data,covar.data)
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pi |
vector of pi returned from SpeciesMix |
coef |
matrix of coefficents returned from Species Mix |
sp.form |
an object of class "formula" (or one that can be coerced to that class):a symbolic description of the model to be fitted |
sp.data |
a data frame containing the species information. The frame is arranged so that each row is a site and each column is a species. Species names should be included as column names otherwise numbers from 1:S are assigned. |
covar.data |
a data frame containng the covariate data for each site. Names of columns must match that given in |
To Come
logl |
loglikelihood |
Piers Dunstan and Scott Foster
1 2 3 4 5 6 7 8 | G <-4
S <- 50
theta <- matrix(c(-9,35,-32,0,0.7,0,-16,23,-8.2,-3,-0.6,0.8),4,3,byrow=TRUE)
dat <- data.frame(y=rep(1,200),x=runif(200,0,2.5),z=rnorm(200,10,2))
dat <- data.frame(dat,x.sq=dat$x^2)
dat1 <- artificial.data(y~1+x+x.sq,dat,theta,S)
fm4 <- SpeciesMix(obs~1+x+x.sq,dat1$pa,dat,G=4,em.prefit=TRUE,em.refit=1,est.var=FALSE)
logLike.pars(fm4$pi,fm4$coef,obs~1+x+x.sq,dat1$pa,dat)
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