Power Analysis for Differential Expression Studies


[Up] [Top]

Documentation for package ‘depower’ version 2026.1.30

Help Pages

add_power_ci Add confidence intervals for power estimates
add_power_pi Add Bayesian posterior predictive intervals for power estimates
asymptotic Test statistic distribution under the null
distribution Test statistic distribution under the null
eval_power_ci Evaluate confidence intervals for power estimates
eval_power_pi Evaluate Bayesian posterior predictive intervals for power estimates
glmm_bnb GLMM for BNB ratio of means
glmm_poisson GLMM for Poisson ratio of means
glm_nb GLM for NB ratio of means
lrt_bnb Likelihood ratio test for BNB ratio of means
lrt_nb Likelihood ratio test for NB ratio of means
mle_bnb MLE for BNB
mle_bnb_alt MLE for BNB
mle_bnb_null MLE for BNB
mle_nb MLE for NB
mle_nb_alt MLE for NB
mle_nb_null MLE for NB
nll_bnb Negative log-likelihood for BNB
nll_bnb_alt Negative log-likelihood for BNB
nll_bnb_null Negative log-likelihood for BNB
nll_nb Negative log-likelihood for NB
nll_nb_alt Negative log-likelihood for NB
nll_nb_null Negative log-likelihood for NB
plot.depower Plot power objects
power Simulated power
simulated Test statistic distribution under the null
sim_bnb Simulate BNB data
sim_log_lognormal Simulate log-transformed lognormal data
sim_nb Simulate NB data
t_test_paired Paired and one-sample t-Tests
t_test_welch Welch's t-Test
wald_test_bnb Wald test for BNB ratio of means
wald_test_nb Wald test for NB ratio of means