normal_dgps: Internal function.
In lpcde: Boundary Adaptive Local Polynomial Conditional Density Estimator
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.
lpcde documentation built on April 3, 2025, 10:09 p.m.
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| 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. |
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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