CalE.beta.kde: Computes...
In AIDA: Analysis of Interval DAta
View source: R/intData_utils.r
CalE.beta.kde R Documentation
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where U_1 follows a Beta(a_1,b_1) and the PDF of U_2 is estimated by a KDE.
Description
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where U_1 follows a Beta(a_1,b_1) and the PDF of U_2 is estimated by a KDE.
Usage
CalE.beta.kde(micro, a1, b1)
Arguments
micro
Latent microdata observations.
a1
Parameter alpha of the Beta distribution.
b1
Parameter beta of the Beta distribution.
Value
Value
AIDA documentation built on Nov. 4, 2026, 9:06 a.m.
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View source: R/intData_utils.r
| CalE.beta.kde | R Documentation |
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where U_1 follows a Beta(a_1,b_1) and the PDF of U_2 is estimated by a KDE.
Description
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where U_1 follows a Beta(a_1,b_1) and the PDF of U_2 is estimated by a KDE.
Usage
CalE.beta.kde(micro, a1, b1)
Arguments
micro |
Latent microdata observations. |
a1 |
Parameter alpha of the Beta distribution. |
b1 |
Parameter beta of the Beta distribution. |
Value
Value
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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