Calculate pairwise comparisons between fitted models performing
vuong test for objects of class unitquantreg
.
Usage
pairwise.vuong.test(
...,
lt,
p.adjust.method = p.adjust.methods,
alternative = c("two.sided", "less", "greater")
)
Arguments
- ...
unitquantreg
objects separated by commas.- lt
a list with one or more
unitquantreg
objects.- p.adjust.method
a character string specifying the method for multiple testing adjustment; almost always one of
p.adjust.methods
. Can be abbreviated.- alternative
indicates the alternative hypothesis and must be one of
"two.sided"
(default),"less"
, or"greater"
. Can be abbreviated.
Examples
data(sim_bounded, package = "unitquantreg")
sim_bounded_curr <- sim_bounded[sim_bounded$family == "uweibull", ]
models <- c("uweibull", "kum", "ulogistic")
lt_fits <- lapply(models, function(fam) {
unitquantreg(formula = y1 ~ x, tau = 0.5, data = sim_bounded_curr,
family = fam)
})
ans <- pairwise.vuong.test(lt = lt_fits)
ans
#>
#> Pairwise comparisons using Vuong likelihood ratio test for non-nested models
#>
#> data: unitquantreg(formula = y1 ~ x, data = sim_bounded_curr, tau = 0.5,
#> family = fam)
#>
#> unit-Weibull Kumaraswamy
#> Kumaraswamy 0.00022 -
#> unit-Logistic 0.01955 0.01955
#>
#> P value adjustment method: holm