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

In seroanalytics/serosolver: Inference Framework for Serological Data

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

Description

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

Usage

likelihood_func_fast_continuous(theta, obs, predicted_titres)

Arguments

theta	NumericVector, a named parameter vector giving the normal distribution standard deviation and the max observable titre
obs	NumericVector, the vector of observed log titres
predicted_titres	NumericVector, the vector of predicted log titres
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 titre

See Also

Other likelihood_functions: likelihood_func_fast()

seroanalytics/serosolver documentation built on July 19, 2023, 5:10 a.m.