model_func_groups: Multiple group model trajectory

In jameshay218/antibodyKinetics: antibodyKinetics

Description

Calculates model trajectories for multiple groups

Usage

model_func_groups(parTab, cr_table, order_tab, exposures, strains, times,
  version = 0, cross_reactivity = FALSE, typing = FALSE)

Arguments

parTab	the parameter table containing at least a column for values column and names which can be used to solve model_trajectory
cr_table	the cross reactivity part of the parameter table, with values and names for the exposure strain, the measured strain, and the antigenic distance (x)
order_tab	the table for parameters modifying boosting based on infection order (antigenic seniority)
exposures	the table for exposure types and times
strains	a vector with the names of all of the strains involved in the model
times	a vector of times to solve the model over
version	0 for isolated, 1 for competitive
cross_reactivity	if TRUE, uses cross reactivity parameters to infer expected titres against heterologous strains
typing	if TRUE, uses parameters corresponding to the exposure type rather than exposure index

Value

a table of antibody titres for the given times, with a column for times, group and colnames of the measured strain

See Also

model_func_isolated for next level, link{model_trajectory} for model solving code

Other model functions: model_func, model_trajectory_cpp, model_trajectory

jameshay218/antibodyKinetics documentation built on Nov. 8, 2019, 11 a.m.