post_process: Post process density estimate to normalize and remove bumps
In rizbicki/FlexCoDE: Fits Flexible Conditional Estimator via Regression
Description
Usage
Arguments
Value
View source: R/auxiliaryFunctions.R
Description
Post process density estimate to normalize and remove bumps
Usage
1
post_process(binSize, estimates, delta = 0, threshold = 1e-06, alpha = 1)
Arguments
binSize
size of grid bins
estimates
vector of density estimate on a grid
delta
parameter for removing bumps; default is 0.0 implying
no bump removal
threshold
parameter for discarding small densities; default
is 1e-6
Value
A vector of the density estimate
rizbicki/FlexCoDE documentation built on Feb. 10, 2022, 3:14 p.m.
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.
Description Usage Arguments Value
View source: R/auxiliaryFunctions.R
Description
Post process density estimate to normalize and remove bumps
Usage
1 | post_process(binSize, estimates, delta = 0, threshold = 1e-06, alpha = 1)
|
Arguments
binSize |
size of grid bins |
estimates |
vector of density estimate on a grid |
delta |
parameter for removing bumps; default is 0.0 implying no bump removal |
threshold |
parameter for discarding small densities; default is 1e-6 |
Value
A vector of the density estimate
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.