Man pages for statdivlab/paramedic
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
| check_entered_data | Prepare Data for Paramedic |
| example_16S_data | Example relative abundance data |
| example_qPCR_data | Example abolute abundance data |
| extract_posterior_summaries | Extract posterior summaries from a hierarchical model fit |
| gen_quantile_interval | Generate a Poisson-quantile-based prediction interval for... |
| gen_wald_interval | Generate a Wald-type prediction interval for qPCR |
| paramedic-package | The 'paramedic' package. |
| posterior_predict.paramedic | Draw from the posterior predictive distribution |
| predict_paramedic | Generate predictions based on a paramedic model fit |
| print.paramedic | Print method for paramedic objects |
| process_data | Process a dataset, returning observed abolute and relative... |
| run_paramedic | Run a Stan algorithm to estimate concentrations from combined... |
| simple_example_data | Simulated data from relative and absolute abundance views |
| summary.paramedic | Summary method for paramedic objects |
