I am hoping to obtain information regarding the reporting of
multinomial logistic regression results - either recommendations of
published studies employing R or suggestions about what output should
be reported. I am used to SPSS which routinely produces a broader
range of output than R (e.g wald statistic p values, exp(B) and
associated confidence intervals).
Below is the code I have been using for a series of analyses.
mod.multacute <- multinom(offence ~ in.acute.danger *
violent.convictions, data = kc, na.action = na.omit)
summary(mod.multacute, cor=F, Wald=T)
Anova (mod.multacute)
predictors <- expand.grid(in.acute.danger = c("y","n"),
violent.convictions = c("y","n"))
p.fita <- predict(mod.multacute, predictors, type='probs')
Any assistance is appreciated,
regards
Bob Green