Given the probability distributions \(P\in[0,\,1]^{n\times 3}\) of the dependent variable, it computes the the values of linear predictors \(XB\in\textbf{R}^{n\times 2}\) according to notation used in santi2019;textualplot3logit.
linkfun(P, model)linkfun_cat3logit(P)
linkfun_ord3logit(P, alpha)
Numeric matrix \(\textbf{R}^{n\times 2}\) of linear predictors.
object of class matrix (or other coercible classes) such that
\(P\in[0,\,1]^{n\times 3}\).
object of class field3logit.
numeric vector of length two where constants \(\alpha^{(1)}\)
and \(\alpha^{(2)}\) are stored (only for ordinal models), as
defined in Equation (7) of santi2019;textualplot3logit.
linkinv.