generate_prediction_intervals: Generate prediction intervals from MCMC chain
In jameshay218/antibodyKinetics: antibodyKinetics

Produces a data frame of lower 2.5

1
2
3

generate_prediction_intervals(chain, samp_no = 1000, ts = seq(0, 70, by
  = 1), ts_obs = ts, MODEL_FUNCTION, nstrains = 3, ngroups = 5,
  calc_obs = TRUE)

`chain`	the MCMC chain to sample from
`samp_no`	the number of random samples to take from the MCMC chain
`ts`	the times over which to solve the model
`ts_obs`	times at which observations were made
`MODEL_FUNCTION`	pointer to the model solving function that takes two arguments: pars and ts. This should return a matrix of trajectories with times across columns
`nstrains`	the number of strains for which measurements are available
`ngroups`	the number of exposure groups
`calc_obs`	if TRUE, also calculates predicted observations