compareCoefs {car} | R Documentation |
This function extracts estimates of regression parameters and their standard errors from one or more models and prints them in a table.
compareCoefs(..., se = TRUE, zvals = FALSE, pvals = FALSE, vcov., print = TRUE, digits = 3)
... |
One or more regression-model objects. These may be of class |
se |
If |
zvals |
If |
pvals |
If codeTRUE (the default is |
vcov. |
an optional argument, specifying a function to be applied to all of the models, returning a coefficient covariance matrix
for each, or a list with one element for each model, with each element either containing a function to
be applied to the corresponding model or a coefficient covariance matrix for that model. If omitted, |
print |
If |
digits |
Passed to the |
This function is mainly used for its side-effect of printing the result. It also invisibly returns a matrix of estimates, standard errors, Wald statistics, and p-values.
John Fox jfox@mcmaster.ca
Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.
mod1 <- lm(prestige ~ income + education, data=Duncan) mod2 <- update(mod1, subset=-c(6,16)) mod3 <- update(mod1, . ~ . + type) mod4 <- update(mod1, . ~ . + I(income + education)) # aliased coef. compareCoefs(mod1) compareCoefs(mod1, mod2, mod4) compareCoefs(mod1, mod2, mod3, zvals=TRUE, pvals=TRUE) compareCoefs(mod1, mod2, se=FALSE) compareCoefs(mod1, mod1, vcov.=list(vcov, hccm))