Define Parameters Distribution for Probabilistic Analysis

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

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 lazy objects.

Value

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

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 patrix need only be specified for correlated parameters.

Examples

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

define_psa(
    age_init ~ normal(60, 10),
    cost_init ~ normal(1000, 100),
    correlation = mc
)
#> A PSA definition:
#> 
#> 2 parameters resampled, 0 multinomial group.

# example with multinomial parameters

define_psa(
  rate1 + rate2 + rate3 ~ multinomial(10, 50, 40),
  a + b ~ multinomial(15, 30)
)
#> A PSA definition:
#> 
#> 5 parameters resampled, 2 multinomial groups.