quick.pooled.multinom: Preform weighted multnomial regression with imputed data...

Description Usage Arguments Value

Description

This will perform multinomial logistic regression with the option of including weights using an imputed data frame from the MICE package. Returns ANODE table, z-table, deviance, partial R2 statistics, and the analyses. Can return null model as well. Can be combined with quick.table.multi.model for omnibus table of multiple models.

Usage

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quick.pooled.multinom(my.formula, weights, imputed.df, include.null = F,
  round = T)

Arguments

my.formula

Formula to test. Cannot test null model, but can have it returned with any other model

weights

Weights to use

imputed.df

Imputed df from MICE

include.null

Include the null model as well?

round

If want values rounded. Default: T

Value

object of class "pooled", "multinom"


ckraner/quick.tasks documentation built on May 24, 2019, 5:02 a.m.