metamodel: Linear regression metamodeling

Description Usage Arguments Details Value See Also

View source: R/metamodel.R

Description

This function estimates a linear regression metamodel for a given decision-analytic model by using the results of a probabilistic sensitivity analysis (PSA)

Usage

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metamodel(
  analysis = c("oneway", "twoway", "multiway"),
  psa,
  params = NULL,
  strategies = NULL,
  outcome = c("eff", "cost", "nhb", "nmb", "nhb_loss", "nmb_loss", "nhb_loss_voi",
    "nmb_loss_voi"),
  wtp = NULL,
  type = c("linear", "gam", "poly"),
  poly.order = 2,
  k = -1
)

Arguments

analysis

either "oneway" or "twoway"

psa

psa object

params

string vector with the name(s) of the parameter of interest. Defaults to all.

strategies

vector of strategies to consider. The default (NULL) is that all strategies are considered.

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

type

type of metamodel

poly.order

order of polynomial for the linear regression metamodel. Default: 2

k

the dimension of the basis used to represent the smooth term. The default depends on the number of variables that the smooth is a function of. k should not be less than the dimension of the null space of the penalty for the term (see null.space.dimension), but will be reset if it is. See choose.k for further information.

Details

The most important option is analysis, which can be either "oneway" or twoway. If analysis == "oneway", a separate metamodel is created for each combination of the parameters in params and strategies in strategies (by default, this is all strategies and parameters).

If analysis == "twoway", params must be a vector of two parameters, and a metamodel is created with these two parameters for each strategy in strategies.

Value

A metamodel object, which contains a list of metamodels and other relevant information.

See Also

predict.metamodel, make_psa_obj, owsa, twsa


dampack documentation built on May 31, 2021, 1:06 a.m.