format_fit: Format Posterior Samples
In EpiNow2: Estimate and Forecast Real-Time Infection Dynamics

View source: R/format.R

format_fit

R Documentation

Format Posterior Samples

Description

Summaries posterior samples and adds additional custom variables.

Usage

format_fit(posterior_samples, horizon, shift, CrIs)

Arguments

`posterior_samples`	A list of posterior samples as returned by `format_simulation_output()`.
`horizon`	Numeric, forecast horizon.
`shift`	Numeric, the shift to apply to estimates.
`CrIs`	Numeric vector of credible intervals to calculate.

Value

A list of samples and summarised posterior parameter estimates.

EpiNow2 documentation built on June 17, 2026, 1:07 a.m.

EpiNow2 index

Package overview README.md Case studies and use in the literature Examples: estimate_infections() Fitting delay distributions with estimate_dist() Forecasting multiple data streams Gaussian Process implementation details Getting started with EpiNow2 Model definition: estimate_dist() Model definition: estimate_infections() Model definition: estimate_secondary() Model definition: estimate_truncation() Model features Model overview Prior choice and specification guide Understanding delay distributions in EpiNow2 Using epinow() for running in production mode Workflow for Rt estimation and forecasting

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