R Under development (unstable) (2023-08-08 r84908 ucrt) -- "Unsuffered Consequences"
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> cat("# numeric test\n")
# numeric test
> library("qgcomp")
> # are results at a given seed numerically stable across versions?
> set.seed(50)
> N=50
> dat <- data.frame(time=(tmg <- pmin(.1,rweibull(N, 10, 0.1))), 
+                 d=1.0*(tmg<0.1), x1=runif(N), x2=runif(N), z=runif(N))
> expnms=paste0("x", 1:2)
> 
> 
> 
> ##### binomial
> set.seed(123123)
> f0 = d ~ x1 + x2
> obj0a <- qgcomp(f0, expnms = expnms, data = dat, B=2, family=binomial())
> obj0b <- qgcomp(f0, expnms = expnms, data = dat, family=binomial())
> 
> stopifnot(all.equal(
+   coef(obj0a),
+   c(-0.63497247,0.06082349 ), 
+   check.names=FALSE, tolerance = 1e-4))
> stopifnot(all.equal(
+   coef(obj0b),
+   c(-0.63497247,0.06082349 ), 
+   check.names=FALSE, tolerance = 1e-4))
> 
> #' \dontrun{
> #' ##### survival
> #' set.seed(123123)
> #' f1 = survival::Surv(tmg, d) ~ x1 + x2
> #' obj1a <- qgcomp(f1, expnms = expnms, data = dat)
> #' obj1b <- qgcomp.cox.boot(f1, expnms = expnms, B=2, data = dat)
> #' 
> #' stopifnot(all.equal(
> #'   coef(obj1a),
> #'   c(0.02461938), 
> #'   check.names=FALSE, tolerance = 1e-4))
> #' stopifnot(all.equal(
> #'   coef(obj1b),
> #'   c(0.02654175), 
> #'   check.names=FALSE, tolerance = 1e-4))
> #' 
> #' 
> #' ##### zi
> #' set.seed(123123)
> #' f2 = d ~ x1 + x2 | x1 + x2
> #' tm  = pscl::zeroinfl(f2 , data=dat, dist="poisson")
> #' 
> #' obj2a <- qgcomp.zi.noboot(f2, expnms = expnms, data = dat, dist="poisson")
> #' obj2a <- qgcomp(f2, expnms = expnms, data = dat, family=poisson())
> #' obj2b <- qgcomp.zi.boot(f2, expnms = expnms, data = dat, dist="poisson", B = 2)
> #' 
> #' stopifnot(all.equal(
> #'   coef(obj2a),
> #'   list(count=c( -0.42823824,-0.05519007 ),
> #'        zero=c(9.057221, -40.356026)),
> #'   check.names=FALSE, tolerance = 1e-4))
> #' stopifnot(all.equal(
> #'   coef(obj2b),
> #'   list(count=c(  -0.43554489,-0.05279048 ),
> #'        zero=c(7.369426 , -18.411273)),
> #'   check.names=FALSE, tolerance = 1e-4))
> #' }
> cat("\n# done\n")

# done
> 
> proc.time()
   user  system elapsed 
   4.68    0.42    5.09