Perform DSA using linear metamodel

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

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`.

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

Details

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

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")
                 )
#> Error in fit_lm_metamodel(df = df_pa, y = "Inc_QALY", x = c("p_pfsd",     "p_pdd")): argument 3 matches multiple formal arguments

dsa_lm_metamodel(df = df_pa,
                 lm_metamodel = lm_res_2)
#> Error in eval(expr, envir, enclos): object 'lm_res_2' not found