dsa_lm_metamodel: Perform DSA using linear metamodel

In Xa4P/pacheck: Probabilistic Analysis Check Package

Perform DSA using linear metamodel

Description

This function performs deterministic sensitivity analyses (DSA) using the results of a linear metamodel. (STILL IN DEVELOPMENT)

Usage

dsa_lm_metamodel(df, lm_metamodel)

Arguments

df	a dataframe. This dataframe should contain both the dependent and independent variables of 'lm_metamodel'.
lm_metamodel	a lm object. This object should use variables defined in 'df'.

Details

The details of the methods used in for these DSA are described in XXX.

Value

A dataframe with the results of deterministic sensitivity analyses performed using parameter values of the linear metamodel. The dataframe contains the results using the lower and upper bound of the 95

Examples

# Fitting meta model with two variables using the summary data
data(df_pa)
lm_res_2 <- fit_lm_metamodel(df = df_pa,
                 y = "Inc_QALY",
                 x = c("p_pfsd", "p_pdd")
                 )

dsa_lm_metamodel(df = df_pa,
                 lm_metamodel = lm_res_2)

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