exponentialSmooth: Weight Smooth Sum function
In jchen032294/expSmooth: Smooth the data with exponential distribution
Description
Usage
Arguments
Value
View source: R/exponentialSmooth.R
Description
Weight Smooth Sum function
Usage
1
exponentialSmooth(x, t, t0 = max(t), rate)
Arguments
x
Numeric vector containing values of the modeled dependent
variable
t
Time values associated with the values of x.
t0
Time value for desired prediction.
rate
Exponential weighting parameter. (length-1 numeric scalar).
This gets passed to pexp()
Value
exponentially-smoothed prediction of the values in x for
dt=0.
jchen032294/expSmooth documentation built on May 17, 2019, 1:29 p.m.
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Description Usage Arguments Value
View source: R/exponentialSmooth.R
Description
Weight Smooth Sum function
Usage
1 | exponentialSmooth(x, t, t0 = max(t), rate)
|
Arguments
x |
Numeric vector containing values of the modeled dependent variable |
t |
Time values associated with the values of |
t0 |
Time value for desired prediction. |
rate |
Exponential weighting parameter. (length-1 numeric scalar).
This gets passed to |
Value
exponentially-smoothed prediction of the values in x for
dt=0.
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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