smooth_lss: Smooth predicted LSS scores by local polynomial regression

In koheiw/LSS: Semi-Supervised Algorithm for Document Scaling

Smooth predicted LSS scores by local polynomial regression

Description

Smooth predicted LSS scores by local polynomial regression

Usage

smooth_lss(
  x,
  lss_var = "fit",
  date_var = "date",
  span = 0.1,
  from = NULL,
  to = NULL,
  engine = c("loess", "locfit"),
  ...
)

Arguments

x	a data.frame containing LSS scores and dates.
lss_var	the name of the column for LSS scores.
date_var	the name of the columns for dates.
span	determines the level of smoothing.
from	start of the time period.
to	end of the time period.
engine	specifies the function to smooth LSS scores: loess() or locfit(). The latter should be used when n > 10000.
...	extra arguments passed to loess() or lp()

koheiw/LSS documentation built on March 9, 2024, 4:41 a.m.