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Local Polynomials Filters

Source: R/lp_filters.R
lp_filter.Rd

Local Polynomials Filters

Usage

lp_filter(
  horizon = 6,
  degree = 3,
  kernel = c("Henderson", "Uniform", "Biweight", "Trapezoidal", "Triweight", "Tricube",
    "Gaussian", "Triangular", "Parabolic"),
  endpoints = c("LC", "QL", "CQ", "CC", "DAF", "CN"),
  ic = 3.5,
  tweight = 0,
  passband = pi/12
)

Arguments

horizon

horizon (bandwidth) of the symmetric filter.

degree

degree of polynomial.

kernel

kernel uses.

endpoints

method for endpoints.

ic

ic ratio.

tweight

timeliness weight.

passband

passband threshold.

Value

a finite_filters() object.

A finite_filters() object.

Details

  • "LC": Linear-Constant filter

  • "QL": Quadratic-Linear filter

  • "CQ": Cubic-Quadratic filter

  • "CC": Constant-Constant filter

  • "DAF": Direct Asymmetric filter

  • "CN": Cut and Normalized Filter

References

Proietti, Tommaso and Alessandra Luati (2008). “Real time estimation in local polynomial regression, with application to trend-cycle analysis”.

See also

mmsre_filter() localpolynomials().

Examples

henderson_f <- lp_filter(horizon = 6, kernel = "Henderson")
plot_coef(henderson_f)