R version 3.6.0 (2019-04-26) -- "Planting of a Tree"
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> 
>  library(aster)
Loading required package: trust
> 
>  # needed because of the change in R function "sample" in R-devel
>  suppressWarnings(RNGversion("3.5.2"))
> 
>  set.seed(42)
> 
>  nind <- 25
> 
>  vars <- c("l2", "l3", "f2", "f3", "h2", "h3")
>  pred <- c(0, 1, 1, 2, 3, 4)
>  fam <- c(1, 1, 1, 1, 3, 3)
>  length(pred) == length(fam)
[1] TRUE
>  nnode <- length(pred)
> 
>  theta <- matrix(0, nind, nnode)
>  root <- matrix(1, nind, nnode)
>  x <- raster(theta, pred, fam, root)
>  dimnames(x) <- list(NULL, vars)
> 
>  data <- as.data.frame(x)
>  site <- factor(sample(LETTERS[1:4], nind, replace = TRUE))
>  foo <- rnorm(nind)
>  data <- data.frame(x, site = site, foo = foo, root = 1)
> 
>  redata <- reshape(data, varying = list(vars),
+      direction = "long", timevar = "varb", times = as.factor(vars),
+      v.names = "resp")
> 
>  out <- aster(resp ~ foo + site, pred, fam, varb, id, root, data = redata)
>  sout1 <- summary(out, show.graph = TRUE)
> 
>  out <- aster(resp ~ foo + site + varb, pred, fam, varb, id, root,
+      data = redata)
>  sout2 <- summary(out)
> 
>  out0 <- aster(resp ~ foo + site + varb, pred, fam, varb, id, root,
+      origin = rep(0, nind * nnode), data = redata)
>  sout0 <- summary(out0)
> 
>  foo <- new.env(parent = emptyenv())
>  bar <- suppressWarnings(try(load("formula.rda", foo), silent = TRUE))
>  if (inherits(bar, "try-error")) {
+      save(sout0, sout1, sout2, file = "formula.rda")
+  } else {
+      print(all.equal(sout0, foo$sout0))
+      print(all.equal(sout1, foo$sout1))
+      print(all.equal(sout2, foo$sout2))
+  }
[1] TRUE
[1] TRUE
[1] TRUE
> 
>  ncoef <- length(out$coefficients)
>  foo <- as.numeric(out0$origin) +
+      matrix(out0$modmat, ncol = ncoef) %*% out0$coefficients
>  bar <- as.numeric(out$origin) +
+      matrix(out$modmat, ncol = ncoef) %*% out$coefficients
>  all.equal(foo, bar)
[1] TRUE
> 
>  all.equal(out$fisher, out0$fisher)
[1] TRUE
>  identical(out$modmat, out0$modmat)
[1] TRUE
> 
>  all.equal(summary(out)$coefficients[ , "Std. Error"],
+      summary(out0)$coefficients[ , "Std. Error"])
[1] TRUE
> 
> 
> proc.time()
   user  system elapsed 
  0.162   0.029   0.184