calculate the likelihood contribution of interval data only
negloglik2_intervalsonly(para, parnames = names(para), X, lower_bounds,
upper_bounds)
This is the vector \(Psi\) of parameters defining model (see p. 62 in Drechsler, Kiesl & Speidel, 2015). With respect to them, the value returned by this function shall be maximized. The starting values are c(betastart2, sigmastart2) (the regression parameters explaining the logged income, and the variance parameter).
A character vector with the names of the elements in para.
the data.frame of covariates.
the lower bound of an interval variable.
the upper bound of an interval variable.
An integer equal to the (sum of the) negative log-likelihood contributions (of the observations)
Joerg Drechsler, Hans Kiesl, Matthias Speidel (2015): "MI Double Feature: Multiple Imputation to Address Nonresponse and Rounding Errors in Income Questions", Austrian Journal of Statistics, Vol. 44, No. 2, http://dx.doi.org/10.17713/ajs.v44i2.77