This library implements mixture model distance sampling
methods. See Miller and Thomas (in prep.).

'checkinitialvalues.R' 'DeltaMethod.R' 'detfct.R' 'em.R'
'eval.pdf.R' 'fitmix.R' 'flt.gr.R' 'flt.R' 'flt.var.R'
'getpars.R' 'goftests.R' 'integrate.hn.pt.R' 'integrate.hn.R'
'integrate.pdf.R' 'inv.reparam.pi.R' 'keyfct.hn.R' 'keyfct.R'
'mu.calc.R' 'namepars.R' 'plot.ds.mixture.R'
'print.ds.mixture.R' 'print.summary.ds.mixture.R'
'reparam.pi.R' 'scalevalue.R' 'setinitialvalues.R' 'sim.mix.R'
'solvecov.R' 'step.ds.mixture.R' 'summary.ds.mixture.R'
'switchpars.R' 'varNp.R' 'zzz.R' 'mmds-package.R'

E. Lopez-Vizcaino, M.J. Lombardia and D. Morales
mme fit Gaussian Multinomial mixed-effects models for small area estimation: Model 1, with one
random effect in each category of the response variable; Model 2, introducing
independent time effect; Model 3, introducing correlated time effect.
mme calculates analytical and parametric bootstrap MSE estimators.

Fit Gaussian Multinomial mixed-effects models for small area estimation: Model 1, with one
random effect in each category of the response variable (Lopez-Vizcaino,E. et al., 2013) <doi:10.1177/1471082X13478873>; Model 2, introducing
independent time effect; Model 3, introducing correlated time effect.
mme calculates direct and parametric bootstrap MSE estimators (Lopez-Vizcaino,E et al., 2014) <doi:10.1111/rssa.12085>.

MMELN : Estimation of multinormal mixture distribution.
Fit multivariate mixture of normal distribution using
covariance structure.

Estimation of Multinormal Mixture Distribution

Sheng Luo <Sheng.T.Luo@uth.tmc.edu> Yong Chen
<Yong.Chen@uth.tmc.edu>
This package implements a novel bivariate meta-analysis.

Multivariate Meta-Analysis Using Sarmanov Beta Prior
Distributions
This package implements a novel bivariate meta-analysis
using Sarmanov beta prior distributions.

Sheng Luo, Yong Chen, Haitao Chu, Xiao Su

Sheng Luo, Yong Chen, Xiao Su, Haitao Chu

This package implements a novel bivariate meta-analysis using Sarmanov beta prior distributions.