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()
orlocfit()
. The latter should be used when n > 10000.- ...
extra arguments passed to
loess()
orlp()