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This function takes a list of TMB models, performs tidy evaluation, extracts model parameters, and compares them to the ground truth effects. Additionally, it evaluates and compares dispersion inferred from TMB with the ground truth gene dispersion. The results are organized in two data frames, one for model parameters and one for dispersion, both labeled as "HTRfit".

Usage

get_eval_data_from_ltmb(
  list_tmb,
  mock_obj,
  coeff_threshold,
  alt_hypothesis,
  use_initial_random_params = FALSE
)

Arguments

list_tmb

A list of TMB models.

mock_obj

A mock object containing ground truth information.

coeff_threshold

The coefficient threshold for wald test

alt_hypothesis

The alternative hypothesis for wald test

use_initial_random_params

A logical value indicating whether to use initial population values (TRUE) or simulated values (FALSE) for computing the actual sd values of random effects. Recommended usage : TRUE

Value

A list containing data frames for model parameters and dispersion.