Dear R list,
From the lrm() binary logistic model we derived the G2 value or the
likelihood-ratio chi-squared statistic given as L.R. model, in the output of
the lrm().
How can this value be penalized for non-linearity (we used splines in the
lrm function)?
lrm.iRVI - lrm(arson ~
Jan Verbesselt wrote:
Dear R list,
From the lrm() binary logistic model we derived the G2 value or the
likelihood-ratio chi-squared statistic given as L.R. model, in the output of
the lrm().
How can this value be penalized for non-linearity (we used splines in the
lrm function)?
