getDharmaResiduals: Creates a DHARMa object

In BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Creates a DHARMa object

Description

Creates a DHARMa object

Usage

getDharmaResiduals(model, parMatrix, numSamples, observed, error, plot = TRUE)

Arguments

model	function that calculates model predictions for a given parameter vector
parMatrix	a parameter matrix from which the simulations will be generated
numSamples	the number of samples
observed	a vector of observed values
error	function with signature f(mean, par) that generates error expectations from mean model predictions. Par is a vector from the matrix with the parameter samples (full length). f needs to know which of these parameters are parameters of the error function
plot	logical, determining whether the simulated residuals should be plotted

Author(s)

Tankred Ott

BayesianTools documentation built on Feb. 16, 2023, 8:44 p.m.