Construct a linear predictor from parameter names and indices, the name of the data matrix and corresponding columns, and apply scaling to the data if necessary.
paste_linpred(parname, parelmts, matnam, index, cols, scale_pars,
isgk = FALSE)
character string; name fo the parameter (e.g., "beta")
integer vector; indices of the parameter vector to be used;
should have the same length as cols
character string; name of the data matrix
character string; name of the index (e.g., "i" or "ii")
integer vector; indices of the columns of matname
, should have
the same length as parlemts
matrix with row names according to the column names of
matname
and columns "center" and "scale"; or NULL
logical; is this linear predictor within the Gauss-Kronrod quadrature?