hermite_int_lower: Convenience function to output a definite integral of the...
In hermiter: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Spearman's Correlation (Bivariate)
Description
Usage
Arguments
Value
Description
The method calculates \int_{-∞}^{x} h_k(t) dt
for k=0,…,N and the vector of values x.
Usage
1
2
3
4
5
6
hermite_int_lower(
N,
x,
hermite_function_matrix = NULL,
normalization_hermite = NULL
)
Arguments
N
An integer number.
x
A numeric vector.
hermite_function_matrix
A numeric matrix. A matrix of Hermite
function values.
normalization_hermite
A numeric vector. A vector of normalization
values necessary in the calculation of the Hermite functions.
Value
A numeric matrix with N+1 rows and length(x) columns.
hermiter documentation built on Nov. 17, 2021, 1:07 a.m.
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Description Usage Arguments Value
Description
The method calculates \int_{-∞}^{x} h_k(t) dt for k=0,…,N and the vector of values x.
Usage
1 2 3 4 5 6 | hermite_int_lower(
N,
x,
hermite_function_matrix = NULL,
normalization_hermite = NULL
)
|
Arguments
N |
An integer number. |
x |
A numeric vector. |
hermite_function_matrix |
A numeric matrix. A matrix of Hermite function values. |
normalization_hermite |
A numeric vector. A vector of normalization values necessary in the calculation of the Hermite functions. |
Value
A numeric matrix with N+1 rows and length(x) columns.
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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