NEWS

depower 2026.1.30.999

Add functions add_power_ci() and add_power_pi() for confidence intervals and prediction intervals of the power estimate, respectively.
- They add uncertainty intervals for power to the object return by power().
- Function plot.depower() will add shaded regions for the intervals.
Add functions eval_power_ci() and eval_power_pi() for confidence intervals and prediction intervals of the power estimate, respectively.
- In contrast to the add_power_*() variants, these are for planning power simulation studies.
- Assess uncertainty in hypothetical simulation-based power estimates before committing computational time to a simulation run.

Add functions asymptotic() and simulated() for specification of type of test.
Add argument distribution to functions:
- wald_test_nb()
- wald_test_bnb()
- lrt_nb()
- lrt_bnb()
for control of running an asymptotic, randomization, or parametric simulation test.

Fix bug where equal_dispersion argument in function lrt_nb() was not passed downstream and instead fixed to FALSE.
Fix calculation of confidence limits for mean2 and dispersion2 in functions glm_nb(), glmm_bnb(), and glmm_poisson().

First release to CRAN.

Power
- power()
Plot
- plot.depower()
Simulate
- sim_log_lognormal()
- sim_nb()
- sim_bnb()
Test
- t_test_welch()
- t_test_paired()
- wald_test_nb()
- wald_test_bnb()
- lrt_nb()
- lrt_bnb()
- glm_nb()
- glmm_bnb()
- glmm_poisson()
MLE
- mle_nb_null() and mle_nb_alt()
- mle_bnb_null() and mle_bnb_alt()
Log-likelihood
- nll_nb_null() and nll_nb_alt()
- nll_bnb_null() and nll_bnb_alt()

Proof of concept.