modifyPropsContinuous: Runs modifyProps on a continuous variable Takes a continuous...

In kcha193/simarioV2: Discrete-time Dynamic Micro-simulation Framework for R

Runs modifyProps on a continuous variable Takes a continuous variable, converts it to a categorical variable using the binbreaks, modifyProps is then called on that categorical variable. The categorical variable is then converted back to a continuos variable using the catToContModels

Description

Runs modifyProps on a continuous variable Takes a continuous variable, converts it to a categorical variable using the binbreaks, modifyProps is then called on that categorical variable. The categorical variable is then converted back to a continuos variable using the catToContModels

Usage

modifyPropsContinuous(
  x.cont,
  desired_props,
  catToContModels,
  cont.binbreaks,
  propens = NULL,
  logiset = NULL,
  accuracy = 0.01,
  envir = parent.frame()
)

Arguments

x.cont	a continuous variable to be adjusted
desired_props	desired proportions
catToContModels	a list of models which will to used to convert the adjusted categorical variable back to continuous
cont.binbreaks	binbreaks for the continuous variable to be adjusted
propens	matrix or vector of the propensity scores for each child For binary variables there is one column of propensity scores: the propensities to change from a 0 to a 1. For categorical variables with more than two categories there are multiple columns of propensity scores: E.g. for a three category variables the propensities to change from category 1 to category 2 are in the first column and the propensities to change from category 2 to category 3 are in the second column.
logiset	logical vector indicating which observations to include, or NULL to include all.
accuracy	gives how close the end proportions are allowed to be away from the desired proportions before an error message is given - the default is 0.01. If the '.accuracy' global variable exists, its value will be used instead of that in function call.
envir	environment in which to evaluate model variables.

Value

an 'adjusted' continuous variable that if binned will have the same proportions as requested in desired_props

kcha193/simarioV2 documentation built on April 8, 2024, 4:51 p.m.