Provides functions to load and analyze three open Electronic
    Health Records (EHRs) datasets of patients diagnosed with
    glioblastoma, previously released under the Creative Common
    Attribution 4.0 International (CC BY 4.0) license.  Users can generate
    basic descriptive statistics, frequency tables and save descriptive
    summary tables, as well as create and export univariate or bivariate
    plots.  The package is designed to work with the included datasets and
    to facilitate quick exploratory data analysis and reporting.  More
    information about these three datasets of EHRs of patients with
    glioblastoma can be found in this article: Gabriel Cerono, Ombretta
    Melaiu, and Davide Chicco, 'Clinical feature ranking based on ensemble
    machine learning reveals top survival factors for glioblastoma
    multiforme', Journal of Healthcare Informatics Research 8, 1-18 (March
    2024).  <doi:10.1007/s41666-023-00138-1>.

Routines for log-linear models of incomplete contingency tables,
             including some latent class models, via EM and Fisher scoring
             approaches. Allows bootstrapping. See Espeland and Hui (1987)
             <doi:10.2307/2531553> for general approach.

Analysis of multivariate data using generalized linear latent variable models (gllvm). 
      Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).

Provides two functions that generate source code implementing the predict 
  function of fitted glm objects. In this version, code can be generated for either 'C' 
  or 'Java'. The idea is to provide a tool for the easy and fast deployment of glm 
  predictive models into production. The source code generated by this package implements 
  two function/methods. One of such functions implements the equivalent to 
  predict(type="response"), while the second implements predict(type="link"). Source code 
  is written to disk as a .c or .java file in the specified path. In the case of c, an .h 
  file is also generated.