R: Designing Cluster-Randomized Trials with Two Continuous Co-Primary Outcomes

# Designing Cluster-Randomized Trials with Two Continuous Co-Primary Outcomes

## Documentation for package ‘crt2power’ version 1.2.2

- DESCRIPTION file
- Package README

## Help Pages

calc_K_comb_outcome | Calculate required number of clusters per treatment group for a cluster-randomized trial with co-primary endpoints using a combined outcomes approach.
calc_K_conj_test | Calculate required number of clusters per treatment group for a cluster-randomized trial with co-primary endpoints using the conjunctive intersection-union test approach.
calc_K_disj_2dftest | Calculate required number of clusters per treatment group for a cluster-randomized trial with co-primary endpoints using a disjunctive 2-DF test approach.
calc_K_pval_adj | Calculate required number of clusters per treatment group for a cluster-randomized trial with co-primary endpoints using three common p-value adjustment methods
calc_K_single_1dftest | Calculate required number of clusters per treatment group for a cluster-randomized trial with co-primary endpoints using the single 1-DF combined test approach.
calc_m_comb_outcome | Calculate cluster size for a cluster-randomized trial with co-primary endpoints using a combined outcomes approach.
calc_m_conj_test | Calculate cluster size for a cluster-randomized trial with co-primary endpoints using the conjunctive intersection-union test approach.
calc_m_disj_2dftest | Calculate cluster size for a cluster-randomized trial with co-primary endpoints using a disjunctive 2-DF test approach.
calc_m_pval_adj | Calculate cluster size for a cluster-randomized trial with co-primary endpoints using three common p-value adjustment methods
calc_m_single_1dftest | Calculate cluster size for a cluster-randomized trial with co-primary endpoints using the single 1-DF combined test approach.
calc_ncp_chi2 | Find the non-centrality parameter corresponding to Type I error rate and statistical power
calc_pwr_comb_outcome | Calculate statistical power for a cluster-randomized trial with co-primary endpoints using a combined outcomes approach.
calc_pwr_conj_test | Calculate statistical power for a cluster-randomized trial with co-primary endpoints using the conjunctive intersection-union test approach.
calc_pwr_disj_2dftest | Calculate statistical power for a cluster-randomized trial with co-primary endpoints using a disjunctive 2-DF test approach.
calc_pwr_pval_adj | Calculate statistical power for a cluster-randomized trial with co-primary endpoints using three common p-value adjustment methods
calc_pwr_single_1dftest | Calculate statistical power for a cluster-randomized trial with co-primary endpoints using the single 1-DF combined test approach.
run_crt2_design | Find study design output specifications based on all five CRT co-primary design methods.