algoComp: Performances SEM algorithm versus MCEM

Description Usage Format See Also


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.




A list containing four 200 x 4/5 matrices.

See Also

Overview : clere-package
Classes : Clere, Pacs
Methods : plot, clusters, predict, summary
Functions : fitClere, fitPacs Datasets : numExpRealData, numExpSimData, algoComp

clere documentation built on Feb. 7, 2020, 1:06 a.m.