p-values for Models with Zero-Inflation
This function attempts to return, or compute, p-values of hurdle and zero-inflated models.
## S3 method for class 'zcpglm'
p_value(model, component = c("all", "conditional", "zi", "zero_inflated"), ...)
## S3 method for class 'zeroinfl'
p_value(
model,
component = c("all", "conditional", "zi", "zero_inflated"),
method = NULL,
verbose = TRUE,
...
)model |
A statistical model. |
component |
Should all parameters, parameters for the conditional model,
or for the zero-inflated part of the model be returned? Applies to models
with zero-inflated component. |
... |
Arguments passed down to |
method |
If |
verbose |
Toggle warnings and messages. |
A data frame with at least two columns: the parameter names and the p-values. Depending on the model, may also include columns for model components etc.
if (require("pscl", quietly = TRUE)) {
data("bioChemists")
model <- zeroinfl(art ~ fem + mar + kid5 | kid5 + phd, data = bioChemists)
p_value(model)
p_value(model, component = "zi")
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