p_value.zcpglm {parameters} | R Documentation |
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 |
Model component for which parameters should be shown. See
the documentation for your object's class in |
... |
Additional arguments |
method |
Method for computing degrees of freedom for
confidence intervals (CI) and the related p-values. Allowed are following
options (which vary depending on the model class): |
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") }