hdpGLM - Hierarchical Dirichlet Process Generalized Linear Models
Implementation of MCMC algorithms to estimate the Hierarchical Dirichlet Process Generalized Linear Model (hdpGLM) presented in the paper Ferrari (2020) Modeling Context-Dependent Latent Heterogeneity, Political Analysis <DOI:10.1017/pan.2019.13> and <doi:10.18637/jss.v107.i10>.
Last updated 1 years ago
dirichlet-process-mixtureshierarchical-clusteringnonparametricnonparametricbayesnpbsemi-parametric
4.74 score 11 stars 5 scripts 283 downloadsceser - Cluster Estimated Standard Errors
Implementation of the Cluster Estimated Standard Errors (CESE) proposed in Jackson (2020) <DOI:10.1017/pan.2019.38> to compute clustered standard errors of linear coefficients in regression models with grouped data.
Last updated 2 years ago
clustered-standard-errorsregression-models
3.00 score 2 stars 5 scripts 132 downloads