fit_dbn_params: Fits a markovian n DBN model

In dbnR: Dynamic Bayesian Network Learning and Inference

Fits a markovian n DBN model

Description

Fits the parameters of the DBN via MLE. The "mu" vector of means and the "sigma" covariance matrix are set as attributes of the dbn.fit object for future exact inference.

Usage

fit_dbn_params(net, f_dt, ...)

Arguments

net	the structure of the DBN
f_dt	a folded data.table
...	additional parameters for the bn.fit function

Value

a "dbn.fit" S3 object with the fitted net

Examples

size = 3
dt_train <- dbnR::motor[200:2500]
net <- learn_dbn_struc(dt_train, size)
f_dt_train <- fold_dt(dt_train, size)
fit <- fit_dbn_params(net, f_dt_train, method = "mle-g")

dbnR documentation built on June 22, 2024, 10:54 a.m.