add_power_ci() and add_power_pi() for confidence intervals and prediction intervals of the power estimate, respectively.
power().plot.depower() will add shaded regions for the intervals.eval_power_ci() and eval_power_pi() for confidence intervals and prediction intervals of the power estimate, respectively.
add_power_*() variants, these are for planning power simulation studies.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.
equal_dispersion argument in function lrt_nb() was not passed downstream and instead fixed to FALSE.mean2 and dispersion2 in functions glm_nb(), glmm_bnb(), and glmm_poisson().First release to CRAN.
power()plot.depower()sim_log_lognormal()sim_nb()sim_bnb()t_test_welch()t_test_paired()wald_test_nb()wald_test_bnb()lrt_nb()lrt_bnb()glm_nb()glmm_bnb()glmm_poisson()mle_nb_null() and mle_nb_alt()mle_bnb_null() and mle_bnb_alt()nll_nb_null() and nll_nb_alt()nll_bnb_null() and nll_bnb_alt()Proof of concept.