)
But the full model hi did not converge since I have many many candidate
covariates:
Warning message:
algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights,
start = start, etastart = etastart,
Question: Can I do the forward selection without specifying a maximal model
hi?
T
)
But the full model hi did not converge since I have many many candidate
covariates:
Warning message:
algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights,
start = start, etastart = etastart,
Question: Can I do the forward selection without specifying a maximal model
hi?
T
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