createSim.Kernelheaping: Create heaped data for Simulation

In Kernelheaping: Kernel Density Estimation for Heaped and Rounded Data

Description

Create heaped data for Simulation

Usage

createSim.Kernelheaping(
  n,
  distribution,
  rounds,
  thresholds,
  offset = 0,
  downbias = 0.5,
  Beta = 0,
  ...
)

Arguments

n	sample size
distribution	name of the distribution where random sampling is available, e.g. "norm"
rounds	rounding values
thresholds	rounding thresholds (for Beta=0)
offset	certain value added to all observed random samples
downbias	bias parameter
Beta	acceleration paramter
...	additional attributes handed over to "rdistribution" (i.e. rnorm, rgamma,..)

Value

List of heaped values, true values and input parameters

Kernelheaping documentation built on Jan. 27, 2022, 1:09 a.m.