naive_jags_picker_2stage {COMBO}  R Documentation 
jags.model
Object for a Given PriorSet up a Naive TwoStage Regression jags.model
Object for a Given Prior
naive_jags_picker_2stage(
prior,
sample_size,
dim_x,
dim_v,
n_cat,
Ystar,
Ytilde,
X,
V,
beta_prior_parameters,
delta_prior_parameters,
number_MCMC_chains,
naive_model_file,
display_progress = TRUE
)
prior 
character string specifying the prior distribution for the naive

sample_size 
An integer value specifying the number of observations in the sample. 
dim_x 
An integer specifying the number of columns of the design matrix of the firststage outcome mechanism, 
dim_v 
An integer specifying the number of columns of the design matrix of the secondstage outcome mechanism, 
n_cat 
An integer specifying the number of categorical values that the observed outcomes can take. 
Ystar 
A numeric vector of indicator variables (1, 2) for the firststage observed
outcome 
Ytilde 
A numeric vector of indicator variables (1, 2) for the secondstage observed
outcome 
X 
A numeric design matrix for the true outcome mechanism. 
V 
A numeric design matrix for the secondstage outcome mechanism. 
beta_prior_parameters 
A numeric list of prior distribution parameters
for the 
delta_prior_parameters 
A numeric list of prior distribution parameters
for the naive 
number_MCMC_chains 
An integer specifying the number of MCMC chains to compute. 
naive_model_file 
A .BUG file and used
for MCMC estimation with 
display_progress 
A logical value specifying whether messages should be
displayed during model compilation. The default is 
naive_jags_picker_2stage
returns a jags.model
object for a naive
twostage regression model predicting the potentially misclassified Y*
from the predictor matrix x
and the potentially misclassified \tilde{Y}  Y^*
from the predictor matrix v
. The object includes the specified
prior distribution, model, number of chains, and data.