naive_kde: Naive Gaussian kernel density estimate on a grid
In adheaping: Characteristic-Function De-Heaping Density Estimation
naive_kde R Documentation
Naive Gaussian kernel density estimate on a grid
Description
Silverman-bandwidth Gaussian kernel density estimate, shown for reference. On heaped
data it inherits the rounding comb.
Usage
naive_kde(x, grid)
Arguments
x
numeric sample.
grid
evaluation grid (equally spaced).
Value
Density values on grid.
Examples
grid <- seq(-6, 6, length.out = 512)
f <- naive_kde(rnorm(1000), grid)
adheaping documentation built on Sept. 18, 2026, 1:06 a.m.
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| naive_kde | R Documentation |
Naive Gaussian kernel density estimate on a grid
Description
Silverman-bandwidth Gaussian kernel density estimate, shown for reference. On heaped data it inherits the rounding comb.
Usage
naive_kde(x, grid)
Arguments
x |
numeric sample. |
grid |
evaluation grid (equally spaced). |
Value
Density values on grid.
Examples
grid <- seq(-6, 6, length.out = 512)
f <- naive_kde(rnorm(1000), grid)
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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