Man pages for SurrogateBMA
Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging
| cv.np | Calculate prodiction MSE for nonparametric method |
| exampleData | Example data |
| fpred.int | Function to be integrated when calculating the expected... |
| gen.prior | Generates the default prior hyperparameters |
| gpxi_int | Simple function using Rcpp |
| post.model | Calculates the posterior probability of the candidate models |
| post.theta | Generates posterior samples of the parameters |
| pred.func | Calculate the expected primary outcome in the treatment group... |
| R.BMA.est | Calculates the proportion of treatment effect explained |
| R.BMAonly | Calculates the proportion of treatment effect explained |
| rcpp_hello_world | Simple function using Rcpp |
| R.m.theta | Calculates the R value given model and parameters |
| SurrogateBMA-package | Flexible Evaluation of Surrogate Markers with Bayesian Model... |
