normal_dgps: Internal function.
In lpdensity: Local Polynomial Density Estimation and Inference
View source: R/lpbwdensity_fn.R
normal_dgps R Documentation
Internal function.
Description
Calculates density and higher order derivatives for Gaussian models.
Usage
normal_dgps(x, v, mean, sd)
Arguments
x
Scalar, point of evaluation.
v
Nonnegative integer, the derivative order (0 indicates cdf, 1 indicates pdf, etc.).
mean
Scalar, the mean of the normal distribution.
sd
Strictly positive scalar, the standard deviation of the normal distribution.
Value
A scalar corresponding to the value of the normal density function or derivatives thereof.
lpdensity documentation built on Oct. 6, 2024, 9:06 a.m.
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View source: R/lpbwdensity_fn.R
| normal_dgps | R Documentation |
Internal function.
Description
Calculates density and higher order derivatives for Gaussian models.
Usage
normal_dgps(x, v, mean, sd)
Arguments
x |
Scalar, point of evaluation. |
v |
Nonnegative integer, the derivative order (0 indicates cdf, 1 indicates pdf, etc.). |
mean |
Scalar, the mean of the normal distribution. |
sd |
Strictly positive scalar, the standard deviation of the normal distribution. |
Value
A scalar corresponding to the value of the normal density function or derivatives thereof.
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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