Nothing
### test-publish-gls.R ---
#----------------------------------------------------------------------
## Author: Thomas Alexander Gerds
## Created: Aug 14 2017 (18:56)
## Version:
## Last-Updated: Dec 1 2020 (17:12)
## By: Thomas Alexander Gerds
## Update #: 6
#----------------------------------------------------------------------
##
### Commentary:
##
### Change Log:
#----------------------------------------------------------------------
##
### Code:
if (requireNamespace("nlme",quietly=TRUE)){
library(testthat)
context("publish: gls regression")
## simulation
library(nlme)
library(Publish)
library(lava)
m <- lvm(Y ~ X1 + gender + group + Interaction)
distribution(m, ~gender) <- binomial.lvm()
distribution(m, ~group) <- binomial.lvm(size = 2)
constrain(m, Interaction ~ gender + group) <- function(x){x[,1]*x[,2]}
d <- sim(m, 1e2)
d$gender <- factor(d$gender, labels = letters[1:2])
d$group <- factor(d$group)
## model
test_that("publish matches gls", {
e.gls <- gls(Y ~ X1 + gender+group, data = d,
weights = varIdent(form = ~1|group))
res <- summary(regressionTable(e.gls))
Sgls <- summary(e.gls)$tTable
expect_equal(res$rawTable[c(1,3,5,6),"Coefficient"],
unname(Sgls[c("X1","genderb","group1","group2"),"Value"]))
expect_equal(res$rawTable[c(1,3,5,6),"Pvalue"],
unname(Sgls[c("X1","genderb","group1","group2"),"p-value"]))
})
context("publish: lme regression")
data("Orthodont")
test_that("publish matches lme", {
fm1 <- lme(distance ~ age+Sex,
random = ~1|Subject,
data = Orthodont)
res <- publish(fm1)
# main effects
expect_equal(as.double(res$rawTable[c(1:2,4),"Coefficient"]),
as.double(fixef(fm1)[1:3]))
expect_equal(as.double(res$rawTable[c(1:2,4),"Pvalue"]),
as.double(summary(fm1)$tTable[1:3,5]))
})
}
######################################################################
### test-publish-gls.R ends here
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.