| Name : R-RSGHB
| |
| Version : 1.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.11
| Date : 2024-06-14 11:16:33
|
| Group : Development/Libraries/Other
| Source RPM : R-RSGHB-1.2.2-lp153.4.11.src.rpm
|
| Size : 0.33 MB
| |
| Packager : (none)
| |
| Summary : Functions for Hierarchical Bayesian Estimation: A Flexible Approach
|
Description :
Functions for estimating models using a Hierarchical Bayesian (HB)
framework. The flexibility comes in allowing the user to specify the
likelihood function directly instead of assuming predetermined model
structures. Types of models that can be estimated with this code
include the family of discrete choice models (Multinomial Logit, Mixed
Logit, Nested Logit, Error Components Logit and Latent Class) as well
ordered response models like ordered probit and ordered logit. In
addition, the package allows for flexibility in specifying parameters
as either fixed (non-varying across individuals) or random with
continuous distributions. Parameter distributions supported include
normal, positive/negative log-normal, positive/negative censored
normal, and the Johnson SB distribution. Kenneth Train\'s Matlab and
Gauss code for doing Hierarchical Bayesian estimation has served as the
basis for a few of the functions included in this package. These
Matlab/Gauss functions have been rewritten to be optimized within R.
Considerable code has been added to increase the flexibility and
usability of the code base. Train\'s original Gauss and Matlab code can
be found here:
< http://elsa.berkeley.edu/Software/abstracts/train1006mxlhb.html> See
Train\'s chapter on HB in Discrete Choice with Simulation here:
< http://elsa.berkeley.edu/books/choice2.html> and his paper on using
HB with non-normal distributions here:
< http://eml.berkeley.edu//~train/trainsonnier.pdf>. The authors would
also like to thank the invaluable contributions of Stephane Hess and
the Choice Modelling Centre: < https://cmc.leeds.ac.uk/>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
