criteria function

Extracts criteria for model comparison of SMSN/SMN/SMNclmm objects

It extracts criteria for model comparison of sereval SMSN-LMM, SMN-LMM and/or SMN-CLMM (for censored responses).

criteria(lobjects)

Arguments

• lobjects: A list containg the smsn.lmm, smn.lmm or smn.clmm objects to be compared.

Returns

A data.frame containing for each model the maximum log-likelihood value, the number of parameters, the AIC, and the BIC.

References

Schumacher, F. L., Lachos, V. H., and Matos, L. A. (2021). Scale mixture of skew-normal linear mixed models with within-subject serial dependence. Statistics in Medicine 40(7), 1790-1810.

Author(s)

Fernanda L. Schumacher, Larissa A. Matos and Victor H. Lachos

See Also

smsn.lmm, smn.lmm, smn.clmm

Examples

fm_norm = smn.lmm(nlme::Orthodont, formFixed=distance~age+Sex, groupVar="Subject")
fm_t = update(fm_norm, distr="t")
fm_sn = smsn.lmm(nlme::Orthodont, formFixed=distance~age+Sex, groupVar="Subject")
fm_cens = smn.clmm(nlme::Orthodont, formFixed=distance~age+Sex, groupVar="Subject")
criteria(list(fm_norm=fm_norm, fm_t=fm_t, fm_sn=fm_sn, fm_cens=fm_cens))