CalE.triang.triang: Computes...
In AIDA: Analysis of Interval DAta
View source: R/intData_utils.r
CalE.triang.triang R Documentation
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where they follow a Triangular distribution.
Description
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where they follow a Triangular distribution.
Usage
CalE.triang.triang(mo1 = 0, mo2 = 0)
Arguments
mo1
Mode of the triangular distribution of the first latent variable.
mo2
Mode of the triangular distribution of the second latent variable.
Value
Value
AIDA documentation built on Nov. 4, 2026, 9:06 a.m.
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.
View source: R/intData_utils.r
| CalE.triang.triang | R Documentation |
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where they follow a Triangular distribution.
Description
Computes [\boldsymbol{\mathfrak{E}}_{UU}]_{ij}=\mathcal{E}(U_i,U_j) for the latent variables inherent to the macrodata, where they follow a Triangular distribution.
Usage
CalE.triang.triang(mo1 = 0, mo2 = 0)
Arguments
mo1 |
Mode of the triangular distribution of the first latent variable. |
mo2 |
Mode of the triangular distribution of the second latent variable. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.