Fit nested partially-latent class model with regression (low-level)
nplcm_fit_Reg_NoNest(data_nplcm, model_options, mcmc_options)
Cases are on top of controls in the rows of diagnostic
test results and the covariate matrix. This is assumed by
A list of model options: likelihood and prior.
A list of Markov chain Monte Carlo (MCMC) options.
This function prepares data, specifies hyperparameters in priors (true positive rates and CSCFs), initializes the posterior sampling chain, writes the model file (for JAGS or WinBUGS with slight differences in syntax), and fits the model. Features:
regression (not all discrete covariates);
no nested subclasses, i.e. conditional independence of multivariate measurements given disease class and covariates;
multiple BrS + multiple SS.
BUGS fit results from
write_model_NoReg for constructing
.bug model file; This function
then puts it in the folder
Other model fitting functions:
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