compute_density: Approximate density based on another vector
In CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures
View source: R/compute_density.R
compute_density R Documentation
Approximate density based on another vector
Description
A function to impute missing values based on density estimation of another
vector or itself after removing the missing values.
Usage
compute_density(x0, x1)
Arguments
x0
vector
x1
vector
Value
Returns approximation of density value of vector x1 based on vector x0.
CausalGPS documentation built on June 22, 2024, 9:31 a.m.
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View source: R/compute_density.R
| compute_density | R Documentation |
Approximate density based on another vector
Description
A function to impute missing values based on density estimation of another vector or itself after removing the missing values.
Usage
compute_density(x0, x1)
Arguments
x0 |
vector |
x1 |
vector |
Value
Returns approximation of density value of vector x1 based on vector x0.
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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