R version 2.15.0 (2012-03-30)
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> 
> library(aster)
Loading required package: trust
> 
> data(radish)
> 
> pred <- c(0,1,2)
> fam <- c(1,3,2)
> 
> ### need object of type aster to supply to penmlogl and pickle
> 
> aout <- aster(resp ~ varb + fit : (Site * Region + Block + Pop),
+     pred, fam, varb, id, root, data = radish)
> 
> ### model matrices for fixed and random effects
> 
> modmat.fix <- model.matrix(resp ~ varb + fit : (Site * Region),
+     data = radish)
> modmat.blk <- model.matrix(resp ~ 0 + fit:Block, data = radish)
> modmat.pop <- model.matrix(resp ~ 0 + fit:Pop, data = radish)
> 
> rownames(modmat.fix) <- NULL
> rownames(modmat.blk) <- NULL
> rownames(modmat.pop) <- NULL
> 
> idrop <- match(aout$dropped, colnames(modmat.fix))
> idrop <- idrop[! is.na(idrop)]
> modmat.fix <- modmat.fix[ , - idrop]
> 
> nfix <- ncol(modmat.fix)
> nblk <- ncol(modmat.blk)
> npop <- ncol(modmat.pop)
> 
> ### try newpickle
> 
> sigma.start <- c(1, 1)
> alpha.start <- aout$coefficients[match(colnames(modmat.fix),
+     names(aout$coefficients))]
> cee.start <- rep(0, nblk + npop)
> alphaceesigma.start <- c(alpha.start, cee.start, sigma.start)
> 
> foo <- newpickle(alphaceesigma.start, fixed = modmat.fix,
+     random = list(modmat.blk, modmat.pop), obj = aout)
> names(foo)
[1] "value"
> 
> 
> proc.time()
   user  system elapsed 
  0.736   0.048   0.763