vcov* arguments in p_value()Robust p-values. Superseded by the vcov* arguments in p_value()
p_value_robust(
model,
vcov = "HC",
vcov_args = NULL,
component = "conditional",
method = NULL,
...
)A statistical model.
Variance-covariance matrix used to compute uncertainty estimates (e.g., for robust standard errors). This argument accepts a covariance matrix, a function which returns a covariance matrix, or a string which identifies the function to be used to compute the covariance matrix.
A covariance matrix
A function which returns a covariance matrix (e.g., stats::vcov())
A string which indicates the kind of uncertainty estimates to return.
Heteroskedasticity-consistent: "vcovHC", "HC", "HC0", "HC1",
"HC2", "HC3", "HC4", "HC4m", "HC5". See ?sandwich::vcovHC.
Cluster-robust: "vcovCR", "CR0", "CR1", "CR1p", "CR1S", "CR2",
"CR3". See ?clubSandwich::vcovCR.
Bootstrap: "vcovBS", "xy", "residual", "wild", "mammen", "webb".
See ?sandwich::vcovBS.
Other sandwich package functions: "vcovHAC", "vcovPC", "vcovCL", "vcovPL".
List of arguments to be passed to the function identified by
the vcov argument. This function is typically supplied by the sandwich
or clubSandwich packages. Please refer to their documentation (e.g.,
?sandwich::vcovHAC) to see the list of available arguments.
Model component for which parameters should be shown. See
the documentation for your object's class in model_parameters() or
p_value() for further details.
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): "residual",
"normal", "likelihood", "satterthwaite", "kenward", "wald",
"profile", "boot", "uniroot", "ml1", "betwithin", "hdi",
"quantile", "ci", "eti", "si", "bci", or "bcai". See section
Confidence intervals and approximation of degrees of freedom in
model_parameters() for further details.
Additional arguments