R Under development (unstable) (2023-06-29 r84618 ucrt) -- "Unsuffered Consequences"
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> 
> library("mlt")
Loading required package: basefun
Loading required package: variables
> library("sandwich")
> 
> chk <- function(x, y) stopifnot(all.equal(x, y, tol = 1e-4))
> set.seed(29)
> 
> n <- 100
> d <- data.frame(y = rnorm(n))
> mod <- ctm(as.basis(~ y, data = d))
> off <- runif(n)
> fmod <- mlt(mod, data = d, offset = off)
> sub <- sample(1:n, n/2, replace = FALSE)
> 
> w <- rep(1, n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE], offset = off[sub])
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> w <- runif(n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE],
+            weights = w[sub], offset = off[sub])
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> 
> y <- rnorm(n)
> d <- data.frame(x = runif(n))
> d$y <- R(cleft = y - .1, cright = y + .1)
> fmod <- mlt(mod, data = d, offset = off)
> sub <- sample(1:n, n/2, replace = FALSE)
> 
> w <- rep(1, n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE], offset = off[sub])
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> w <- runif(n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE],
+            weights = w[sub], offset = off[sub] )
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> ex <- sample(1:n, n/2, replace = TRUE)
> ye <- yi <- y
> ye[-ex] <- NA
> yi[ex] <- NA
> d$y <- R(ye, cleft = yi - .1, cright = yi + .1)
> fmod <- mlt(mod, data = d, offset = off)
> sub <- sample(1:n, n/2, replace = FALSE)
> 
> w <- rep(1, n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE], offset = off[sub])
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> w <- runif(n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE],
+            weights = w[sub], offset = off[sub] )
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> d$y <- R(ye, cleft = yi - .1, cright = yi + .1, tleft = y - 2, tright = y + 2)
> fmod <- mlt(mod, data = d, offset = off)
> sub <- sample(1:n, n/2, replace = FALSE)
> 
> w <- rep(1, n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ### <FIXME> doesn't work without hotstart, problem
> ### with computation of starting values??? </FIXME>
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE], offset = off[sub],
+            theta = coef(ms1))
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> w <- runif(n)
> ms1 <- update(fmod, weights = w, subset = sub)
> ms2 <- mlt(mod, data = d[sub,,drop = FALSE],
+            weights = w[sub], offset = off[sub], theta = coef(ms1))
> chk(coef(ms1), coef(ms2))
> chk(estfun(ms1), estfun(ms2))
> chk(vcov(ms1), vcov(ms2))
> chk(logLik(ms1), logLik(ms2))
> 
> 
> proc.time()
   user  system elapsed 
   1.95    0.50    2.39