plot_metric: Plotting different metrics

In jtimonen/odemodeling: Building, fitting, and validating Bayesian ODE models in 'Stan'

Plotting different metrics

Description

Either tols or num_steps has to be NULL.

Usage

plot_metric(values, name, tols = NULL, num_steps = NULL)

plot_pareto_k(reliability, tols = NULL, num_steps = NULL)

plot_r_eff(reliability, tols = NULL, num_steps = NULL)

plot_mad(reliability, tols = NULL, num_steps = NULL, loglik = FALSE)

Arguments

values	A numeric vector of metric values.
name	Name of metric
tols	A numeric vector of tolerances. Must have same length as values.
num_steps	A numeric vector of step amounts. Must have same length as values.
reliability	The list returned by the ⁠$reliability()⁠ method of OdeModelFit class.
loglik	If TRUE, the maximum absolute difference in log likelihoods is plotted. Otherwise the maximum absolute difference in ODE solutions is plotted (default).

Functions

• plot_metric(): Plot a generic metric.

• plot_pareto_k(): Plot pareto-k metric.

• plot_r_eff(): Plot relative efficiency.

• plot_mad(): Plot maximum absolute difference.

jtimonen/odemodeling documentation built on Sept. 15, 2024, 4:29 a.m.