| Name : R-bayesm
| |
| Version : 3.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.30
| Date : 2024-06-14 11:12:08
|
| Group : Development/Libraries/Other
| Source RPM : R-bayesm-3.1.3-1.30.src.rpm
|
| Size : 5.71 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Inference for Marketing/Micro-Econometrics
|
Description :
Covers many important models used in marketing and micro-econometrics
applications. The package includes: Bayes Regression (univariate or
multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary
and Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP),
Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate
Mixtures of Normals (including clustering), Dirichlet Process Prior
Density Estimation with normal base, Hierarchical Linear Models with
normal prior and covariates, Hierarchical Linear Models with a mixture of
normals prior and covariates, Hierarchical Multinomial Logits with a
mixture of normals prior and covariates, Hierarchical Multinomial Logits
with a Dirichlet Process prior and covariates, Hierarchical Negative
Binomial Regression Models, Bayesian analysis of choice-based conjoint
data, Bayesian treatment of linear instrumental variables models, Analysis
of Multivariate Ordinal survey data with scale usage heterogeneity (as in
Rossi et al, JASA (01)), Bayesian Analysis of Aggregate Random Coefficient
Logit Models as in BLP (see Jiang, Manchanda, Rossi 2009) For further
reference, consult our book, Bayesian Statistics and Marketing by Rossi,
Allenby and McCulloch (Wiley 2005) and Bayesian Non- and Semi-Parametric
Methods and Applications (Princeton U Press 2014).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/released/SLE_15_SP3/x86_64 |
