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R/methods_glmmTMB.R

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@@ -538,34 +538,6 @@ ci.glmmTMB <- function(x,
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}
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# p_value -----
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#' @export
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p_value.glmmTMB <- function(model,
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component = "all",
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vcov = NULL,
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vcov_args = NULL,
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verbose = TRUE,
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...) {
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component <- insight::validate_argument(
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component,
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c("all", "conditional", "zi", "zero_inflated", "dispersion")
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)
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effects <- insight::validate_argument(
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effects,
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c("fixed", "random")
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)
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if (effects == "random") {
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.se_random_effects_glmmTMB(model)
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} else if (!is.null(vcov)) {
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.se_robust_glmmTMB(model, component, vcov, vcov_args, verbose, ...)
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} else {
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.se_fixed_effects_glmmTMB(model, component, verbose)
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}
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}
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# standard_error -----
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#' @export

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