Man pages for jatotterdell/optimum
Package containing functions and scripts used for optimum study simulations
| agg_trial_dat | Aggregate trial data over treatment |
| beta_ineq | Calculate Pr(X > Y + delta) where X and Y are independent... |
| beta_ineq_approx | Calculate Pr(X > Y + delta) where X and Y are independent... |
| beta_ineq_sim | Calculate Pr(X > Y + delta) where X and Y are independent... |
| calc_ppos | Calculate the predicted probability of success |
| calc_scenario_ppos | Calculate the Predictive Probability of Success for a given... |
| dbetabinom | Calculate density of beta-binomial distribution |
| decide_trial | Apply a decision rule to a trial from 'sim_trial' |
| dec_trial | Apply decision rule to trial data |
| dnorm_mat | Evaluate standard normal density for matrix of variates |
| est_trial_prob | Calculate trial probabilities (posterior and predictive) |
| jaakkola_jordan | Perform Jaakkola-Jordan update of variational parameters |
| jaakkola_jordan_n | Perform Jaakkola-Jordan update of variational parameters |
| knowles_minka_wand | Perform Knowles-Minka-Wand update of variational parameters |
| knowles_minka_wand_n | Perform Knowles-Minka-Wand update of variational parameters |
| plot_beta_norm | Compare Normal approximation to Beta |
| plot_trial | Plot a trial |
| pnorm_mat | Evaluate standard normal cdf for matrix of variates |
| rbetabinom | Draw random variates from beta-binomial distribution |
| saul_jordan | Perform Saul-Jordan update of variational parameters |
| saul_jordan_n | Perform Saul-Jordan update of variational parameters |
| sim_scenario | Simulate a set of Bayesian two-arm trials with early... |
| sim_trial | Simulate Bayesian two-arm trial with early termination for... |
| sim_trial_dat | Simulate trial data using Poisson process for accrual rate |
| vb_logistic | Perform variational inference for logistic regression model |
| vb_logistic_n | Perform variational inference for logistic regression model |
