By default, the summary for objects of class multinom
is not particularly helpful. It still requires a lot of work on the part of the user to figure out which coefficients are significantly different from zero and which ones are not. mnlSig
solves this problem by either flagging significant coefficients with an asterisk or only printing significant coefficients, leaving insignificant ones blank.
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obj |
A model object of class |
pval |
The desired Type I error rate to identify coefficients as statistically significant. |
two.sided |
Logical indicating whether calculated p-values should be two-sided (if |
flag.sig |
Logical indicating whether an asterisk should be placed beside coefficients which are significant at the |
insig.blank |
Logical indicating whether coefficients which are not significant at the |
A data frame suitable for printing with the (optionally significance-flagged) coefficients from a multinomial logit model.
Dave Armstrong (UW-Milwaukee, Department of Political Science)
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Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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