expSmooth.pred: Exponential Smooth Prediction
In jchen032294/expSmooth: Smooth the data with exponential distribution
Description
Usage
Arguments
Value
View source: R/expSmooth.pred.R
Description
Exponential Smooth Prediction
Usage
1
expSmooth.pred(x, t, mint, maxt, interval = 30, rate = 1)
Arguments
x
Numeric vector containing values of the modeled dependent
variable
t
Time values associated with the values of x.
rate
Exponential weighting parameter. (length-1 numeric scalar).
This gets passed to pexp()
timevals
Time intervals
Value
exponentially-smoothed prediction of the values in x for
each time interval.
jchen032294/expSmooth documentation built on May 17, 2019, 1:29 p.m.
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Description Usage Arguments Value
View source: R/expSmooth.pred.R
Description
Exponential Smooth Prediction
Usage
1 | expSmooth.pred(x, t, mint, maxt, interval = 30, rate = 1)
|
Arguments
x |
Numeric vector containing values of the modeled dependent variable |
t |
Time values associated with the values of |
rate |
Exponential weighting parameter. (length-1 numeric scalar).
This gets passed to |
timevals |
Time intervals |
Value
exponentially-smoothed prediction of the values in x for
each time interval.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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