weighted_kde {topolow} | R Documentation |
Weighted Kernel Density Estimation
Description
Performs weighted kernel density estimation for univariate data. Uses parallel processing for efficiency. Useful for analyzing parameter distributions with importance weights.
Usage
weighted_kde(x, weights, n = 512, from = min(x), to = max(x))
Arguments
x |
Numeric vector of samples |
weights |
Numeric vector of weights |
n |
Integer number of evaluation points |
from , to |
Numeric range for evaluation points |
Value
List containing:
x |
Vector of evaluation points |
y |
Vector of density estimates |
[Package topolow version 1.0.0 Index]