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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