Summary for Mid-Quantile Regression Models — summary.midrq • Qtools

This functions gives a summary list for a mid-quantile regression model.

# S3 method for class 'midrq'
summary(object, alpha = 0.05, numerical = FALSE, robust = FALSE, ...)

Arguments

object: an object of class midrq.
alpha: numeric value to determine the confidence level (1-alpha) of the required interval.
numerical: logical flag. If TRUE, the variance-covariance estimate is approximated by the inverse of the numerical Hessian.
robust: logical flag. If TRUE, the Huber-White covariance estimate is computed using the Huberized residuals.
...: not used.

References

Geraci, M. and A. Farcomeni. Mid-quantile regression for discrete responses. arXiv:1907.01945 [stat.ME]. URL: https://arxiv.org/abs/1907.01945.

Author

Marco Geraci

See also