- r-base-core (>= 4.2.2.20221110-1)
- r-api-4.0
- r-cran-rcpp (>= 0.12.0)
- r-cran-rcpparmadillo
- libblas3 | libblas.so.3
- libc6 (>= 2.29)
- libgcc-s1 (>= 3.0)
- liblapack3 | liblapack.so.3
- libstdc++6 (>= 11)
The bayesm package covers many important models used in marketing and
micro-econometrics applications. The package includes:
.
* Bayes Regression (univariate or multivariate dep var)
* Multinomial Logit (MNL) and Multinomial Probit (MNP)
* Multivariate Probit,
* Multivariate Mixtures of Normals
* Hierarchical Linear Models with normal prior and covariates
* Hierarchical Multinomial Logits with mixture of normals prior and
covariates
* Bayesian analysis of choice-based conjoint data
* Bayesian treatment of linear instrumental variables models
* Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
(as in Rossi et al, JASA (01)).
.
For further reference, consult the authors' book, _Bayesian Statistics and
Marketing_ by Allenby, McCulloch and Rossi.
Installed Size: 2.9 MB
Architectures: arm64 amd64