pspline.validate.scalars: Run a simulation study to validate a scalar estimator

In pspline.inference: Estimation of Characteristics of Seasonal and Sporadic Infectious Disease Outbreaks Using Generalized Additive Modeling with Penalized Basis Splines

Description

Run a simulation study to validate a scalar estimator

Usage

pspline.validate.scalars(
  fun.truth,
  n.truths,
  fun.observations,
  n.observations,
  fun.model,
  fun.outcomes,
  n.samples,
  level
)

Arguments

fun.truth	function that generates a true state of the system. Takes no arguments, returns data frame of true values for model variables
n.truths	number of different truths to generate for simulation study
fun.observations	function that generates a set of observations from truth. Takes one argument (truth data frame) and returns data frame of observations
n.observations	number of sets of observations to generate for each truth in the simulation study
fun.model	function that returns a model to be used for estimation. Takes one argument (observations data frame) and returns the model
fun.outcomes	function that calculates the outcomes of interest. Same as outcomes function in pspline.estimate.scalars.
n.samples	number of samples to use for estimation. See pspline.estimate.scalars.
level	confidence level to use for estimation. See pspline.estimate.scalars.

Value

list of summary (which is a data frame specifying the fraction of true values that were contained in their estimated confidence interval) and results (which is a data frame specifying the quantile of the true value in the estimated sampled distribution for each simulation)

pspline.inference documentation built on Jan. 19, 2021, 5:07 p.m.