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.

1 |

A list containing four 200 x 4/5 matrices.

Overview : `clere-package`

Classes : `Clere`

, `Pacs`

Methods : `plot`

, `clusters`

, `predict`

, `summary`

Functions : `fitClere`

, `fitPacs`

Datasets : `numExpRealData`

, `numExpSimData`

, `algoComp`

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