hopit_derivLL: INTERNAL: The gradient of the log likelihood function

In MaciejDanko/gotm: Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity

INTERNAL: The gradient of the log likelihood function

Description

INTERNAL: The gradient of the log likelihood function

Usage

hopit_derivLL(
  parameters = model$coef,
  model,
  collapse = TRUE,
  use_weights,
  negative = FALSE
)

Arguments

parameters	model parameters (optional). If the parameters not delivered, they are taken from the model$coef.
model	a hopit object.
collapse	a logical indicating whether to sum individual LL contributions.
use_weights	a logical indicating whether to use model weights.
negative	a logical indicating whether the function should return negative LL.

Author(s)

Maciej J. Danko

MaciejDanko/gotm documentation built on Oct. 1, 2022, 12:59 p.m.