pbWald: Parametric bootstrap Wald test
In corncob: Count Regression for Correlated Observations with the Beta-Binomial

pbWald

R Documentation

Parametric bootstrap Wald test

Description

Parametric bootstrap Wald test

Usage

pbWald(mod, mod_null, B = 1000, robust = FALSE)

Arguments

`mod`	an object of class `bbdml`
`mod_null`	an object of class `bbdml`, should be nested within `mod`
`B`	Integer. Defaults to `1000`. Number of bootstrap iterations.
`robust`	Should robust standard errors be used? If not, model-based standard arras are used. Logical, defaults to `FALSE`.

Value

P-value from parametric bootstrap Wald test.

Examples

data(soil_phylum_small_otu1)
mod1 <- bbdml(formula = cbind(W, M - W) ~ DayAmdmt,
phi.formula = ~ DayAmdmt,
data = soil_phylum_small_otu1)

mod2 <- bbdml(formula = cbind(W, M - W) ~ 1,
phi.formula = ~ 1,
data = soil_phylum_small_otu1)
pbWald(mod1, mod2, B = 50)

corncob documentation built on May 29, 2024, 7:15 a.m.