Man pages for jatotterdell/mfittrial
Functions for MFIT Trial

create_C_matCreates C matrix for use in mvnorm_prob_each_best
estimate_lmm_modelEstimate the model
estimate_lm_modelEstimate linear regression model using variational...
estimate_modelEstimate linear regression model
generate_preference_dataGenerate potential outcomes if a participant were to receive...
make_designCreate the design matrix
mass_weighted_urn_designMass-weighted urn randomisation Zhao W. (2015). Mass weighted...
prob_maxProbability each column is maximum
prob_suprProbability each column is maximum
simulate_accrual_dataSimulate accrual data
simulate_continuous_outcomeSimulate continuous outcome data
simulate_example_trial_anovaSimulate trial with ANOVA analysis keeping all interims
simulate_general_outcome_dataSimulate outcome data
simulate_longitudinal_trialSimulate a longitudinal trial
simulate_outcome_dataSimulate outcome data
simulate_preference_trialSimulate trial accounting for preference
simulate_standard_trialSimulate trial without any knowledge of preference
simulate_trial_anovaSimulate trial with ANOVA analysis
simulate_trial_with_controlSimulate a trial with fixed allocation to control group
simulate_trial_with_control2Simulate a trial with fixed allocation to control group
simulate_trial_with_control3Simulate a trial with fixed allocation to control group.
tnmeanCalculate mean of truncated normal
tnvarCalculate variance of truncated normal
trial_as_dtConvert trial list into trial data.table
update_modelUpdate linear regression model
jatotterdell/mfittrial documentation built on Sept. 30, 2022, 12:23 p.m.