likelihood_func_fast: Fast observation error function Calculate the probability of...
In seroanalytics/serosolver: Inference Framework for Serological Data
likelihood_func_fast R Documentation
Fast observation error function
Calculate the probability of a set of observed titres given a corresponding set of predicted titres. FAST IMPLEMENTATION
Description
Fast observation error function
Calculate the probability of a set of observed titres given a corresponding set of predicted titres. FAST IMPLEMENTATION
Usage
likelihood_func_fast(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:
Fast observation error function continuous
seroanalytics/serosolver documentation built on April 24, 2023, 9:52 a.m.
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| likelihood_func_fast | R Documentation |
Fast observation error function Calculate the probability of a set of observed titres given a corresponding set of predicted titres. FAST IMPLEMENTATION
Description
Fast observation error function Calculate the probability of a set of observed titres given a corresponding set of predicted titres. FAST IMPLEMENTATION
Usage
likelihood_func_fast(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:
Fast observation error function continuous
seroanalytics/serosolver documentation built on April 24, 2023, 9:52 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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