MECfda (version 0.2.1)

MECfda_simDataGen_ME: Simulation Data Generation: Measurement Error Bias Correction of Scalar-on-function Regression

Description

Generate data set for measurement error bias correction methods for scalar-on-function regression in package MECfda

Usage

MECfda_simDataGen_ME(
  N = 100,
  J_W = 7,
  forwhich = c("MEM", "IV", "CLS", "IV.SIMEX"),
  t_interval = c(0, 1),
  n_t = 24,
  seed = 0
)

Value

return a list that possibly contains following elements.

Y

An atomic vector of response variable

Z

A dataframe with a binary and a continuous scalar-valued covariate.

W

Observed values of function-valued covariate.

M

Instrumental vairable.

t_interval

Same as in the input argument.

t_points

Sequence of the measurement (time) points.

Arguments

N

Sample size.

J_W

Number of repeated measurement (period), if applicable.

forwhich

For which method of measurement error bias correction method the data set is generated. There are two options: 'MEM','IV','CLS','IV.SIMEX'.

t_interval

A 2-element vector, represents an interval, means the domain of the functional covariate. Default is c(0,1), represent interval \([0,1]\).

n_t

Number of measurement time points.

seed

Pseudo-random number generation seed.

Examples

for (i in 1:4) {MECfda_simDataGen_ME(forwhich = c('MEM','IV','CLS','IV.SIMEX')[i])}