This is the old version of the package, compatible with lme4.0. It is possible to estimate the PSE and JND of a GLMM with having single, fixed-effed categolical predictor. The estimate is performed either via delta method or with a parametric bootstrap. The function for the parametric bootstrap (MERboot) samples the random predictor from a univariate or bivariate normal distribution using the package mnorm. The algorithms are described in Moscatelli et al. (2012).


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