AdMit is an R adaptation of the adaptive mixture of Student-t distributions
developed by Lennart F. Hoogerheide in his PhD thesis:
Hoogerheide, L.F. (2006). 
Essays on Neural Network Sampling Methods and Instrumental Variables. 
PhD thesis, Tinbergen Institute, Erasmus University Rotterdam (NL).
ISBN: 9051708261. 
(Book nr. 379 of the Tinbergen Institute Research Series.)

The package is still under development and is distributed without warranty.

Thanks to report bugs or make suggestions to <david.ardia@unifr.ch>