generate_pa_inputs_psm: Generate probabilistic model inputs for partitioned survival...

In Xa4P/pacheck: Probabilistic Analysis Check Package

Generate probabilistic model inputs for partitioned survival model.

Description

This function generates the probabilistic model inputs for the example health economic model developed to test the functionalities of the package.

Usage

generate_pa_inputs_psm(n_sim = 10000, sd_var = 0.2, seed_num = 452)

Arguments

n_sim	integer. Number of probabilistic value to draw for each model input. Default is 10,000.
sd_var	numeric. Determines the standard error of the mean to use for the normal distributions when the standard error not known. Default is 0.2 (20%).
seed_num	integer. The seed number to use when drawing the probabilistic values. Default is 452.

Value

A dataframe. A description of the variables of the returned dataframe is available in the documentation of the df_pa_psm dataframe.

Examples

# Generating deterministic model inputs and storing them in an object.
df_inputs_prob <- generate_pa_inputs_psm()

Xa4P/pacheck documentation built on April 14, 2025, 1:51 p.m.