create_posterior_func_detectable: Creates the posterior function used in the MCMC framework for...

In jameshay218/virosolver: Infer epidemic dynamics using viral load data

Creates the posterior function used in the MCMC framework for detectable Ct values

Description

Creates a new function which calculates the posterior probability of a set of parameter values conditional on data that include only individuals with detectable PCR values on the sample collection day.

Usage

create_posterior_func_detectable(
  parTab,
  data,
  PRIOR_FUNC = NULL,
  INCIDENCE_FUNC = NULL,
  solve_likelihood = TRUE,
  ...
)

Arguments

parTab	A vector of model parameters with names corresponding to the parameter control table.
data	A tibble containing two columns: t for sample time and ct for the Ct values.
PRIOR_FUNC	A function for the prior distribution. NULL by default.
INCIDENCE_FUNC	A function that returns a vector of daily infection probabilities/ incidence. NULL by default.
solve_likelihood	Solves the likelihood. TRUE by default.

Value

Returns a single log posterior probability.

Author(s)

James Hay, [e-mail]

See Also

Other create posterior functions: create_post_func_seeirr_combined(), create_post_func_seeirr(), create_posterior_func()

jameshay218/virosolver documentation built on April 17, 2025, 2:57 p.m.