Package index • depower

Power analysis

Estimate power across multiple simulation parameters

power(): Simulated power
add_power_ci(): Add confidence intervals for power estimates
add_power_pi(): Add Bayesian posterior predictive intervals for power estimates
eval_power_ci(): Evaluate confidence intervals for power estimates
eval_power_pi(): Evaluate Bayesian posterior predictive intervals for power estimates

Plot

Automatic plotting method for power objects

plot(<depower>): Plot power objects

Simulate

Simulate data

sim_log_lognormal(): Simulate log-transformed lognormal data
sim_nb(): Simulate NB data
sim_bnb(): Simulate BNB data

Hypothesis testing

Calculate test statistics for simulated data

t_test_welch(): Welch's t-Test
t_test_paired(): Paired and one-sample t-Tests
wald_test_nb(): Wald test for NB ratio of means
wald_test_bnb(): Wald test for BNB ratio of means
lrt_nb(): Likelihood ratio test for NB ratio of means
lrt_bnb(): Likelihood ratio test for BNB ratio of means
asymptotic() simulated(): Test statistic distribution under the null
glm_nb(): GLM for NB ratio of means
glmm_bnb(): GLMM for BNB ratio of means
glmm_poisson(): GLMM for Poisson ratio of means

MLE

Maximum likelihood estimation

mle_nb_null() mle_nb_alt(): MLE for NB
mle_bnb_null() mle_bnb_alt(): MLE for BNB

Log-likelihood

Calculate the negative log-likelihood

nll_nb_null() nll_nb_alt(): Negative log-likelihood for NB
nll_bnb_null() nll_bnb_alt(): Negative log-likelihood for BNB