my.sieve: Sieve Estimators

In joshuadhigbee/myAppliedMetrics: What the Package Does (One Line, Title Case)

Description

For multiple bases - Standard, Bernstein, and Linear Spline Written for data.table arguments.

Usage

my.sieve(
  Yvar,
  Xvar,
  read_data,
  predict_data,
  basis = "standard",
  low.bound.Xvar = 0,
  high.bound.Xvar = 1,
  tolerance = 1e-16,
  K = 1L
)

Arguments

Yvar	Dependent variable
Xvar	Character vector of control variables
read_data	Of type data.table - points for prediction
basis	Standard for use
low.bound.Xvar	Lower bound of data
high.bound.Xvar	Upper bound of data
tolerance	Tolerance level for matrix inversion
K	degrees of polynomial (or knots for linear spline basis)

Examples

my.sieve()

joshuadhigbee/myAppliedMetrics documentation built on March 19, 2021, 3:45 p.m.