dt_p2 | creates dataset for two binomial proportions |
gibbs_bin | Gibbs sampling for beta-binomial distribution |
lb_wn | lower bound wilson |
lb_wn_ign | lower bound wilson, ignorable mi |
lb_wn_p2 | lower bound newcombe |
mi | multitple imputation for proportions |
mi_comb | combine multiple imputatiton results |
mp_x0 | conditional missing probability for missing at random |
mp_y0 | conditional missing probability for missing not at random |
p1_eval | propotion estimation evaluation |
p2d_mi | estimates for difference in binomial proportions |
p2_eval | difference in propotions evaluation |
p2_full_ci | condifence interval for difference in binomial proportions |
p2_mle | maximumn likelihood estimates for proportions |
p_rmle | restricted maximum likelihood estimate: proportion difference |
ub_wn | upper bound wilson |
ub_wn_ign | upper bound wilson, ignorable mi |
ub_wn_p2 | upper bound newcombe |
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