simplifiedpimestimation.marginalcoefficients: Simplified fitting of PIMs with only one categorical...

Description Usage Arguments Value Note

Description

Simplified fitting of PIMs with only one categorical predictor

Usage

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Arguments

data

Context where out, group and block are to be interpreted

out

Column of data that holds the outcomes (responses)

group

Column of data that holds the predicting variable

block

Column of data that holds the blocking variable. This can be left out if no blocking is present

Value

for simplifiedpimestimation.marginalcoefficients: The coefficient estimates of the marginal model, in order of the levels of the predicting variable

for simplifiedpimestimation.marginalcovariance: The covariance estimates of the marginal model, in order of the levels of the predicting variable

for simplifiedpimestimation.pairwisecoefficients: The coefficient estimates of the pairwise model, in order of the combined levels of the predicting variable (as combn generates them)

for simplifiedpimestimation.pairwisecovariance: The covariance estimates of the pairwise model, in order of the combined levels of the predicting variable (as combn generates them)

Note

These functions are merely provided for comparison. The pim function supports generic ways of estimating these values.


pimold documentation built on May 2, 2019, 5:50 p.m.