A run_mod() output
using the nepal_sees example data set as input
and stratifying by column "bldculres",
which is the diagnosis type (typhoid or
paratyphoid). Keeping only IDs "newperson", "sees_npl_1", "sees_npl_2".
Format
nepal_sees_jags_output
A list consisting of the following named elements:
- curve_params
A data.frame titled
curve_paramsthat contains the posterior predictive distribution of the person-specific parameters for a "new person" with no observed data (Subject = "newperson") and posterior distributions of the person-specific parameters for two arbitrarily-chosen subjects ("sees_npl_1"and"sees_npl_2")- attributes
A list of
attributesthat summarize the jags inputs
Source
reference study: https://doi.org/10.1016/S2666-5247(22)00114-8