itnb-object: An itnb-object

In svilsen/itnb: I-Inlfated T-Truncated Negative Binomial Distribution

An itnb-object

Description

An itnb-object is a list containing the following:

n

Integer: The number of observed counts.

x

Vector: The observed counts.

i

Integer: The inflation point.

t

Integer: The truncation point.

mu

Numeric: The expected value.

theta

Numeric: The overdispersion.

p

Numeric: The inflation proportion.

log_likelihood

Numeric: The complete log-likelihood of the optimised parameters.

converged

TRUE/FALSE: Did the EM-algorithm converge?

trace

A data.frame of the trace, if the argument save_trace in em_itnb_control was TRUE, otherwise it is NULL.

svilsen/itnb documentation built on Sept. 7, 2024, 1:30 a.m.