FD.stddev {FlexDir} | R Documentation |
Standard Deviation of the ML estimators of a Flexible Dirichlet
Description
Conditional Bootstrap evaluation of the standard errors of the maximum likelihood parameter estimates of a Flexible Dirichlet distribution.
Usage
FD.stddev(x, iter.bootstrap = 500)
Arguments
x |
an object of class FDfitted, usually the result of |
iter.bootstrap |
number of iterations of the Bootstrap. |
References
Ongaro, A. and Migliorati, S. (2013) A generalization of the Dirichlet distribution. Journal of Multivariate Analysis, 114, 412–426.
Migliorati, S., Ongaro, A. and Monti, G. S. (2016) A structured Dirichlet mixture model for compositional data: inferential and applicative issues. Statistics and Computing, doi:10.1007/s11222-016-9665-y.
See Also
FD.estimation
, FD.aicbic
, FD.barycenters
Examples
data <- FD.generate(n=20,a=c(12,7,15),p=c(0.3,0.4,0.3),t=8)
data
results <- FD.estimation(data, normalize=TRUE,iter.initial.SEM = 5,iter.final.EM = 10)
results
FD.stddev(results)
[Package FlexDir version 1.0 Index]