Skip to contents

All functions

apply_exclusions()
Convert case counts in matching rows to NA
download_from_azure_blob()
Download specified blobs from Blob Storage and save them in a local dir
extract_diagnostics()
Extract diagnostic metrics from model fit and data
fetch_blob_container()
Load Azure Blob endpoint using credentials in environment variables
fetch_credential_from_env_var()
Fetch Azure credential from environment variable
fit_model()
Fit an EpiNow2 model
gostic_gt_pmf
Generation interval corresponding to the sample gostic_toy_rt dataset
gostic_toy_rt
Synthetic dataset of stochastic SIR system with known Rt
low_case_count_diagnostic()
Calculate low case count diagnostic flag
format_generation_interval() format_delay_interval() format_right_truncation()
Format PMFs for EpiNow2
read_data()
Read in the dataset of incident case counts
read_disease_parameters()
Read in disease process parameters from an external file or files
read_exclusions()
Read exclusions from an external file
read_interval_pmf()
Read parameter PMF into memory
process_samples() process_quantiles()
Process posterior samples from a Stan fit object (raw draws).
write_model_outputs()
Write model outputs to specified directories
write_output_dir_structure()
Create output directory structure for a given job and task.