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.

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