criteria {skewlmm} | R Documentation |
Extracts criteria for model comparison of SMSN/SMN/SMNclmm objects
Description
It extracts criteria for model comparison of sereval SMSN-LMM, SMN-LMM and/or SMN-CLMM (for censored responses).
Usage
criteria(lobjects)
Arguments
lobjects |
A list containg the smsn.lmm, smn.lmm or smn.clmm objects to be compared. |
Value
A data.frame
containing for each model the maximum log-likelihood value, the number of parameters, the AIC, and the BIC.
Author(s)
Fernanda L. Schumacher, Larissa A. Matos and Victor H. Lachos
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.
See Also
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))
[Package skewlmm version 1.1.0 Index]