Is it possible to do a simultaneous F-test, likelihood ratio test or Wald test with the marginaleffects::hypotheses function? I'm looking for similar behavior as car::linearHypothesis and multcomp:glht. Minimal example:
library(multcomp)
library(car)
lmfit <- lm(mpg~as.factor(cyl)*hp, data=mtcars)
car::linearHypothesis(lmfit, c("as.factor(cyl)6:hp", "as.factor(cyl)8:hp"), test = "F")
car::linearHypothesis(lmfit, c("as.factor(cyl)6:hp", "as.factor(cyl)8:hp"), test = "Chisq")
summary(multcomp::glht(lmfit, c("`as.factor(cyl)6:hp` = 0", "`as.factor(cyl)8:hp` = 0")), test = Ftest())
summary(multcomp::glht(lmfit, c("`as.factor(cyl)6:hp` = 0", "`as.factor(cyl)8:hp` = 0")), test = Chisqtest())