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
A list containing four 200 x 4/5 matrices.
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