Description Usage Arguments Value References See Also Examples
The Vuong test is suitable to discriminate between two non-nested models.
1 2 3 4 5 6 7 8 9 10 11 | ndvuongtest(
x,
y,
size = 0.05,
pval = TRUE,
type = c("non-nested", "nested", "overlapping"),
ndraws = 10000,
diffnorm = 0.1,
seed = 1,
print.level = 0
)
|
x |
a first fitted model of class |
y |
a second fitted model of class |
size |
the size of the test, |
pval |
should the p-value be computed ? |
type |
the kind of test to be computed, |
ndraws |
the number of draws for the simulations, |
diffnorm |
a creuser, |
seed |
the seed, |
print.level |
the level of details to be printed. |
an object of class "htest"
Vuong Q.H. (1989) Likelihood ratio tests for model selection and non-nested hypothesis, Econometrica, vol.57(2), pp.307-33.
1 2 3 4 5 6 7 8 9 | data("Interview", package = "mhurdle")
# dependent double hurdle model
dhm <- mhurdle(vacations ~ car + size | linc + linc2 | 0, Interview,
dist = "ln", h2 = TRUE, method = "bhhh", corr = TRUE)
# a double hurdle p-tobit model
ptm <- mhurdle(vacations ~ 0 | linc + linc2 | car + size, Interview,
dist = "ln", h2 = TRUE, method = "bhhh", corr = TRUE)
vuongtest(dhm, ptm)
|
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