Man pages for jatotterdell/mfittrial
Functions for MFIT Trial
| create_C_mat | Creates C matrix for use in mvnorm_prob_each_best |
| estimate_lmm_model | Estimate the model |
| estimate_lm_model | Estimate linear regression model using variational... |
| estimate_model | Estimate linear regression model |
| generate_preference_data | Generate potential outcomes if a participant were to receive... |
| make_design | Create the design matrix |
| mass_weighted_urn_design | Mass-weighted urn randomisation Zhao W. (2015). Mass weighted... |
| prob_max | Probability each column is maximum |
| prob_supr | Probability each column is maximum |
| simulate_accrual_data | Simulate accrual data |
| simulate_continuous_outcome | Simulate continuous outcome data |
| simulate_example_trial_anova | Simulate trial with ANOVA analysis keeping all interims |
| simulate_general_outcome_data | Simulate outcome data |
| simulate_longitudinal_trial | Simulate a longitudinal trial |
| simulate_outcome_data | Simulate outcome data |
| simulate_preference_trial | Simulate trial accounting for preference |
| simulate_standard_trial | Simulate trial without any knowledge of preference |
| simulate_trial_anova | Simulate trial with ANOVA analysis |
| simulate_trial_with_control | Simulate a trial with fixed allocation to control group |
| simulate_trial_with_control2 | Simulate a trial with fixed allocation to control group |
| simulate_trial_with_control3 | Simulate a trial with fixed allocation to control group. |
| tnmean | Calculate mean of truncated normal |
| tnvar | Calculate variance of truncated normal |
| trial_as_dt | Convert trial list into trial data.table |
| update_model | Update linear regression model |
