This data contains four matrices corresponding to four performance
indictors used to compare SEM algorithm and three versions of the MCEM
algorithm (MCEMA: with 5 MC interations; MCEMB: with 25 MC iterations
and MCEMC: 125 MC iterations) as described in the package
vignette. The first matrix Pred contains prediction errors;
matrix Bias contains the bias over all model parameters,
matrix Time contains execution times for the four methods and
matrix Liks the log-likelihood reached by each method. These
data were used to generate the Table 1. in the package vignette. For more
details, please refer to the package vignette.
The R script used to create this dataset is clere/inst/doc/SEM_vs_MCEM_simulations.R.