I’ve uploaded lqmm 1.02 into CRAN. A few bugs have been fixed. I made a substantial change to the function boot.lqmm which provides bootstrapped standard errors of the coefficients estimates. The starting values used in each bootstrap sample are by default those from a least squares fit (startQR = FALSE). In previous versions of the package, starting values were taken from the fitted object (startQR = TRUE) to speed up convergence in each bootstrap sample. However, this causes the standard errors to be under-estimated.