https://github.com/cran/aster
Tip revision: caf80bbb933639f6a5334d03486d97e18fb725ec authored by Charles J. Geyer on 29 March 2013, 00:00:00 UTC
version 0.8-21
version 0.8-21
Tip revision: caf80bb
cache.Rout.save
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$dropped, colnames(modmat.fix))
> idrop <- idrop[! is.na(idrop)]
> modmat.fix <- modmat.fix[ , - idrop]
>
> nfix <- ncol(modmat.fix)
> nblk <- ncol(modmat.blk)
> npop <- ncol(modmat.pop)
>
> ### try penmlogl
>
> theta.start <- c(1, 1)
>
> alpha.start <- aout$coefficients[match(colnames(modmat.fix),
+ names(aout$coefficients))]
> parm.start <- c(alpha.start, rep(0, nblk + npop))
>
> tout <- trust(objfun = penmlogl, parm.start, rinit = 1, rmax = 10,
+ sigma = theta.start, fixed = modmat.fix,
+ random = list(modmat.blk, modmat.pop), obj = aout)
>
> ### crude estimate of variance components
>
> eff.blk <- tout$argument[seq(nfix + 1, nfix + nblk)]
> eff.pop <- tout$argument[seq(nfix + nblk + 1, nfix + nblk + npop)]
> theta.crude <- sqrt(c(var(eff.blk), var(eff.pop)))
>
> ### try optim and pickle
>
> lower <- rep(0, length(theta.crude))
> time1 <- system.time(
+ oout <- optim(theta.crude, pickle,
+ parm = tout$argument, fixed = modmat.fix,
+ random = list(modmat.blk, modmat.pop), obj = aout)
+ )
>
> time2 <- system.time(
+ oout.cache <- optim(theta.crude, pickle,
+ parm = tout$argument, fixed = modmat.fix,
+ random = list(modmat.blk, modmat.pop), obj = aout,
+ cache = new.env())
+ )
>
> all.equal(oout$par, oout.cache$par, tol = 1e-5)
[1] TRUE
> time2[1] < time1[1]
user.self
TRUE
>
>
> proc.time()
user system elapsed
5.248 0.040 5.268