Description Usage Arguments Value Note
Simplified fitting of PIMs with only one categorical predictor
1 2 3 4 5 6 7 | simplifiedpimestimation.marginalcoefficients(data, out, group, block)
simplifiedpimestimation.marginalcovariance(data, out, group, block)
simplifiedpimestimation.pairwisecoefficients(data, out, group, block)
simplifiedpimestimation.pairwisecovariance(data, out, group, block)
|
data |
Context where |
out |
Column of |
group |
Column of |
block |
Column of |
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)
These functions are merely provided for comparison. The pim function supports generic ways of estimating these values.
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