define_psa: Define Parameters Distribution for Probabilistic Analysis

In heemod: Markov Models for Health Economic Evaluations

Define Parameters Distribution for Probabilistic Analysis

Description

Define the properties of parameter distributions and their correlation structure for probabilistic uncertainty analysis of Markov models.

Usage

define_psa(..., correlation)

define_psa_(.dots = list(), correlation)

Arguments

...	Formulas defining parameter distributions.
correlation	A correlation matrix for parameters or the output of define_correlation().
.dots	Pair/values of expressions coercible to quosures.

Details

The distributions must be defined within heemod (see distributions), or defined with define_distribution().

If no correlation matrix is specified parameters are assumed to be independant.

The correlation matrix need only be specified for correlated parameters.

Value

An object of class resamp_definition. Contains list_qdist, a list of quantile functions and correlation a correlation matrix.

Examples

mc <- define_correlation(
  age_init, cost_init, .4
)

define_psa(
    age_init ~ normal(60, 10),
    cost_init ~ normal(1000, 100),
    correlation = mc
)

# example with multinomial parameters

define_psa(
  rate1 + rate2 + rate3 ~ multinomial(10, 50, 40),
  a + b ~ multinomial(15, 30)
)

heemod documentation built on May 29, 2024, 8:17 a.m.