Creates an object containing the matrix with the parameters simulated using
the MCMC procedure (using JAGS, BUGS or Stan) and a vector of parameters
(strings) that can be used to perform the expected value of partial
information analysis. In the process, createInputs also checks for
linear dependency among columns of the PSA samples or columns having
constant values and removes them to only leave the fundamental parameters
(to run VoI analysis). This also deals with simulations stored in a
.csv or .txt file (e.g. as obtained using bootstrapping from a
non-Bayesian model).
# S3 method for default
createInputs(inputs, print_is_linear_comb = TRUE)createInputs(inputs, print_is_linear_comb = TRUE)
# S3 method for rjags
createInputs(inputs, print_is_linear_comb = TRUE)
# S3 method for bugs
createInputs(inputs, print_is_linear_comb = TRUE)
# S3 method for stanfit
createInputs(inputs, print_is_linear_comb = TRUE)
# S3 method for data.frame
createInputs(inputs, print_is_linear_comb = TRUE)
# S3 method for numeric
createInputs(inputs, print_is_linear_comb = TRUE)
Data.frame containing all the simulations for all the monitored parameters
Character vectors of the names of all the monitored parameters
A rjags, bugs or stanfit object, containing
the results of a call to either JAGS, (using R2jags), BUGS
(using R2WinBUGS, or Stan (using rstan).
Logical indicator. If set to TRUE (default)
then prints the output of the procedure trying to assess whether there are
some parameters that are a linear combination of others (in which case
they are removed).
Gianluca Baio, Anna Heath and Mark Strong
bcea(),
evppi()