SEES Typhoid run_mod jags output — nepal_sees_jags

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".

Usage

nepal_sees_jags_output

Format

An S3 object of class sr_model: A dplyr::tbl_df that 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"). Contains 40,000 rows, 7 columns, and model attributes.

Iteration: Number of sampling iterations: 500 iterations
Chain: Number of MCMC chains run: 2 chains run
Parameter: Parameter being estimated
Iso_type: Antibody/antigen type combination being evaluated: HlyE_IgA and HlyE_IgG
Stratification: The variable used to stratify jags model: typhi and paratyphi
Subject: ID of subject being evaluated: newperson, sees_npl_1, sees_npl_2
value: Estimated value of the parameter
attributes: A list of attributes that summarize the jags inputs, priors, and optional jags_post mcmc object

Source

reference study: https://doi.org/10.1016/S2666-5247(22)00114-8