Summary of a dmrfit object — summary.dmrfit • dmrfit

Produces a detailed summary of a fitted discrete MRF model, analogous to summary.lm. Standard errors are obtained from the Godambe-Huber-White (GHW) estimator.

# S3 method for class 'dmrfit'
summary(object, ...)

Arguments

object: a dmrfit object.
...: further arguments (currently unused).

Value

an object of class summary.dmrfit containing:

call: the matched call.
coefficients: a matrix with columns for the estimate, standard error, z-value and p-value.
thresholds: coefficient matrix for threshold parameters.
interactions: coefficient matrix for free pairwise interaction parameters.
neg_pseudo_loglik: the negative log pseudo-likelihood at convergence.
P: number of nodes.
N: number of observations.
n_categories: vector of category counts per node.
with_prior: logical, whether a prior was used.
structured: logical, whether the network structure was constrained.
intervals: a matrix with the Wald intervals of the free parameters, and their likelihood-ratio intervals when the fit has them (lrt_intervals = TRUE), at the level of the fit.
level: the level of the intervals.