ladreg: Fitting LAD Models

In LadR: Routines for Fit, Inference and Diagnostics in LAD Models

Description

Fitting LAD Models

Usage

ladreg(y, X, intercept = 1, alpha = 0.05, print = 1)

Arguments

y	A vector with response variables.
X	A matrix or vector with explanatory variables.
intercept	1 for a model with intercept and 0 for a model without intercept.
alpha	significance level to hypotheses tests.
print	1 to print response variables, fitted values and residuals, 0 to don't print.

Value

outliers

A vector with outliers indices.

.

References

Dielman, T. E. (2005) Least absolute value regression: recent contributions. Journal of Statistical Computational and Simulation, 75(4), 263–286. doi: 10.1080/0094965042000223680

Examples

### Using stackloss data

ladreg(stack.loss, stack.x, intercept =1, alpha=0.05, print=1)

LadR documentation built on May 1, 2019, 7:12 p.m.