reverse.pwave: Reverse wavelet transform a set of probabilities in TItable...
In zrxing/smash: Smoothing by Adaptive Shrinkage in R
Description
Usage
Arguments
Value
Description
Reverse wavelet transform a set of probabilities in TItable
format for Poisson data.
Usage
1
reverse.pwave(est, lp, lq = NULL)
Arguments
est
An n-vector. Usually a constant vector with each
element equal to the estimated log(total rate).
lp
A J by n matrix of probabilities.
lq
A J by n matrix of complementary probabilities.
Value
Reconstructed signal in the original data space.
zrxing/smash documentation built on June 9, 2021, 11:09 a.m.
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Description Usage Arguments Value
Description
Reverse wavelet transform a set of probabilities in TItable format for Poisson data.
Usage
1 | reverse.pwave(est, lp, lq = NULL)
|
Arguments
est |
An n-vector. Usually a constant vector with each element equal to the estimated log(total rate). |
lp |
A J by n matrix of probabilities. |
lq |
A J by n matrix of complementary probabilities. |
Value
Reconstructed signal in the original data space.
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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