Fast-observation-error-function-continuous: Fast observation error function continuous Calculate the...

In adamkucharski/serosolver: Inference Framework for Serological Data

Fast observation error function continuous Calculate the probability of a set of observed antibody levels given a corresponding set of predicted antibody levels assuming continuous, bounded observations.

Description

Fast observation error function continuous Calculate the probability of a set of observed antibody levels given a corresponding set of predicted antibody levels assuming continuous, bounded observations.

Usage

likelihood_func_fast_continuous(theta, obs, predicted_antibody_levels)

Arguments

theta	NumericVector, a named parameter vector giving the normal distribution standard deviation and the max observable antibody level
obs	NumericVector, the vector of observed log antibody levels
predicted_antibody_levels	NumericVector, the vector of predicted log antibody levels
a	vector of same length as the input data giving the probability of observing each observation given the predictions

Value

a likelihood for each observed antibody level

See Also

Other likelihood_functions: likelihood_func_fast()

adamkucharski/serosolver documentation built on April 13, 2024, 10:24 a.m.