fn_se_std: Calcualte the standard error of the standard deviation
In edsandorf/cmdlR: Choice Modeling in R
fn_se_std R Documentation
Calcualte the standard error of the standard deviation
Description
The standard deviation is calculated as the square root of the diagonal of
the variance coavariance matrix of your random parameters. The variance-
covariance matrix is calculated using the estimated lower Cholesky matrix.
Usage
fn_se_std(a, L, lambda)
Arguments
a
An integer indicating the row position of the random parameter in the
asymptotic variance-covariance matrix
L
The lower cholesky matrix
lambda
The asymptotic variance covariance matrix
Value
A vector of standard errors
References
http://www.stephanehess.me.uk/software.html
Daly, A. J., Hess, S., & de Jong, G., 2012, Calculating errors for measures derived
from choice modelling estimates, Transportation Research Part B, 46(2):333-341
edsandorf/cmdlR documentation built on Jan. 17, 2024, 12:33 a.m.
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| fn_se_std | R Documentation |
Calcualte the standard error of the standard deviation
Description
The standard deviation is calculated as the square root of the diagonal of the variance coavariance matrix of your random parameters. The variance- covariance matrix is calculated using the estimated lower Cholesky matrix.
Usage
fn_se_std(a, L, lambda)
Arguments
a |
An integer indicating the row position of the random parameter in the asymptotic variance-covariance matrix |
L |
The lower cholesky matrix |
lambda |
The asymptotic variance covariance matrix |
Value
A vector of standard errors
References
http://www.stephanehess.me.uk/software.html Daly, A. J., Hess, S., & de Jong, G., 2012, Calculating errors for measures derived from choice modelling estimates, Transportation Research Part B, 46(2):333-341
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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