TwoWaySA: Two-way sensitivity analysis using linear regression...

In feralaes/dampack: Package with useful decision-analytic modeling tools

Two-way sensitivity analysis using linear regression metamodeling

Description

This function displays a two-way sensitivity analysis (TWSA) graph by estimating a linear regression metamodel of a PSA for a given decision-analytic model

Usage

TwoWaySA(strategies = NULL, y, x, parm1, parm2, range1 = NULL,
  range2 = NULL, poly.order = 2, maximize = TRUE, txtsize = 12)

Arguments

strategies	String vector with the name of the strategies
y	Matrix with the model outputs
x	Matrix with the model inputs or parameters
parm1	String with the name of the first parameter of interest
parm2	String with the name of the second parameter of interest
range1	Range of the first parameter of interest. Default: NULL range. If range1=NULL, the lower and upper bounds of the sample are used.
range2	Range of the second parameter of interest. Default: NULL range. If range2=NULL, the lower and upper bounds of the sample are used.
poly.order	Order of polynomial for the linear regression metamodel. Default: 2
maximize	If TRUE, plot of strategy with maximum expected outcome (default); if FALSE, plot of strategy with minimum expected outcome
txtsize	Font size for ggplot graph. Default: 12

Value

twsa A ggplot2 object with the TWSA graph of parm1 and parm2 on the outcome of interest that can be posteriorly formatted with ggplot2 function

feralaes/dampack documentation built on Sept. 8, 2024, 11:31 a.m.