sample_prior_FGS: Use Full Factorial Grid Sampling (FGS) to sample from prior...

In W-Mohammed/calibrater: Calibration of Decision-Analytic Models

Use Full Factorial Grid Sampling (FGS) to sample from prior distribution

Description

Use Full Factorial Grid Sampling (FGS) to sample from prior distribution

Usage

sample_prior_FGS(.n_samples = 1, .l_params = .l_params_, ...)

Arguments

.n_samples	An integer specifying the number of samples to be generated.
.l_params	A list that contains a vector of parameter names, distributions and distributions' arguments.
...	additional arguments, for example: .seed_no to set a seed number.

Value

A table with each parameter FGS samples in a separate column

Examples

## Not run: 
v_params_names <- c("p_Mets", "p_DieMets")
v_params_dists <- c("unif", "unif")
args <- list(list(min = 0.04, max = 0.16),
             list(min = 0.04, max = 0.12))
l_params <- list('v_params_names' = v_params_names,
                 'v_params_dists' = v_params_dists,
                 'args' = args)

sample_prior_FGS(.l_params = l_params,
                 .n_samples = 10)

## End(Not run)

W-Mohammed/calibrater documentation built on Oct. 14, 2023, 1:57 a.m.