reverse_gp_model: Reverse Gaussian process model

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

Reverse Gaussian process model

Description

Given a vector of daily infection probabilities, this function converts this vector to the format expected by the Gaussian process model.

Usage

reverse_gp_model(desired_probs, pars, times)

Arguments

desired_probs	Vector of probabilities for GP transformation.
pars	Exponential growth model parameters.
times	Time points for incidence calculation.

Value

Returns daily infection probabilities in the format expected by the Gaussian process model.

Author(s)

James Hay, [e-mail]

See Also

Other incidence functions: SEEIRRModel(), detectable_SEEIRRModel(), detectable_SEIRModel(), exponential_growth_model(), gaussian_process_model(), solveSEEIRRModel_rlsoda_wrapper(), solveSEEIRRModel_rlsoda(), solveSEIRModel_lsoda_wrapper(), solveSEIRModel_lsoda(), solveSEIRModel_rlsoda_wrapper(), solveSEIRModel_rlsoda(), solveSEIRswitch_rlsoda_wrapper(), solveSEIRswitch_rlsoda()

Examples

FIX ME

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