Learning Bayesian Network Classifiers from Data
Implementation of different algorithms for learning discrete Bayesian network classifiers from data, including wrapper algorithms and those based on Chow-Liu's algorithm.
Mihaljevic Bojan [aut, cre],
Bielza Concha [aut],
Larranaga Pedro [aut]

Learning Discrete Bayesian Network Classifiers from Data
Implements state-of-the art algorithms for learning discrete Bayesian network classifiers from data, as well as functions for using these classifiers for prediction, assessing their predictive performance, and inspecting their properties.
c(person("Mihaljevic","Bojan",email="bmihaljevic@fi.upm.es",role=c("aut","cre")),
person("Bielza","Concha",email="mcbielza@fi.upm.es",role="aut"),
person("Larranaga","Pedro",email="pedro.larranaga@fi.upm.es",role="aut"),
person("Wickham", "Hadley", role="ctb", comment="some code extracted from memoise package"))
Mihaljevic Bojan [aut, cre],
Bielza Concha [aut],
Larranaga Pedro [aut],
Wickham Hadley [ctb] (some code extracted from memoise package)

Implements state-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, as well as functions for using these classifiers for prediction, assessing their predictive performance, and inspecting their properties.

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.

c(person("Mihaljevic","Bojan",email="boki.mihaljevic@gmail.com",role=c("aut","cre")),
person("Bielza","Concha",email="mcbielza@fi.upm.es",role="aut"),
person("Larranaga","Pedro",email="pedro.larranaga@fi.upm.es",role="aut"),
person("Wickham", "Hadley", role="ctb", comment="some code extracted from memoise package"))

Bounding Omitted Variable Bias Using Auxiliary Data
person(given = "Yujung",
family = "Hwang",
role = c("aut", "cre"),
email = "yujungghwang@gmail.com",
comment = c(ORCID = "https://orcid.org/0000-0002-8136-8987"))
Functions to implement a Hwang(2021) <doi:10.2139/ssrn.3866876> estimator, which bounds an omitted variable bias using auxiliary data.
np, pracma, stats, utils, MASS, dplyr, factormodel, nnet