I'm running some regression analyses and got pretty confused about R's output when it comes to robust regression models. When I run a OLS -- using the command lm() -- I get this as output:

Coefficients:

                Estimate Std. Error t value Pr(>|t|)

But when I run a robust linear model using the rlm() command, the output looks like so:

Coefficients:

                Value   Std. Error t value

How do I get the p-values and the significance-levels in an rlm then? Without that, the whole analysis is somewhat pointless. Unfortunately, I couldn't find an answer to that anywhere, so I hope someone around here can help me out. Thanks a lot!!