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

In DARTH-git/dampack: Decision-Analytic Modeling Package

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

twsa(
  sa_obj,
  param1 = NULL,
  param2 = NULL,
  ranges = NULL,
  nsamp = 100,
  outcome = c("eff", "cost", "nhb", "nmb", "nhb_loss", "nmb_loss"),
  wtp = NULL,
  strategies = NULL,
  poly.order = 2
)

Arguments

sa_obj	sensitivity analysis object; either a probabilistic sensitivity analysis (make_psa_obj) or a deterministic sensitivity analysis object (run_owsa_det)
param1	String with the name of the first parameter of interest
param2	String with the name of the second parameter of interest
ranges	a named list of the form c("param" = c(0, 1), ...) that gives the ranges for the parameter of interest. If NULL, parameter values from the middle 95 from this range is determined by nsamp.
nsamp	number of samples from ranges
outcome	either effectiveness ("eff"), cost ("cost"), net health benefit ("nhb"), net monetary benefit ("nmb"), or the opportunity loss in terms of NHB or NMB ("nhb_loss" and "nmb_loss", respectively). "nmb_loss_voi" and "nhb_loss_voi" are only used in internal function calls of metamodel within other VOI functions.
wtp	if outcome is NHB or NMB (or the associated loss), must provide the willingness-to-pay threshold
strategies	vector of strategies to consider. The default (NULL) is that all strategies are considered.
poly.order	order of polynomial for the linear regression metamodel. Default: 2

Value

twsa A ggplot2 object with the TWSA graph of param1 and param2 on the outcome of interest.

DARTH-git/dampack documentation built on Sept. 25, 2024, 4:48 p.m.