eval_strategy_newdata: Iteratively Evaluate a Markov Model With New Parameter Values

In heemod: Markov Models for Health Economic Evaluations

Iteratively Evaluate a Markov Model With New Parameter Values

Description

Given a data.frame with on set of new parameters values per row, iteratively evaluate the model over the set of new values.

Usage

eval_strategy_newdata(x, strategy = 1, newdata)

Arguments

x	Result from run_model().
newdata	a data.frame whose names match parameters names. model will be evaluated iteratively, taking successive values from each row.
model	Name or index of model to recompute.

Details

New parameters with a missing value (NA) do not replace existing parameters.

Value

A data.frame containing the values of newdata and each Markov Model evaluation in res.

Examples

par1 <- define_parameters(
  a = 1,
  b = 1 / (model_time + a)
)

mat1 <- define_transition(
  1-b, b,
  0, 1
)
mod1 <- define_strategy(
  transition = mat1,
  define_state(var = a),
  define_state(var = a * model_time)
)

res1 <- run_model(
  mod1,
  parameters = par1,
  cycles = 5,
  init = 1:0,
  method = "end"
)

new_tab <- data.frame(
  a = 1:10
)

heemod:::eval_strategy_newdata(
  res1,
  newdata = new_tab
)

heemod documentation built on July 26, 2023, 5:45 p.m.