Add additional methods

[johnmyleswhite]

• [ ] add1.lm*
• [ ] alias.lm*
• [x] anova.lm* -> ftest (#182)
• [ ] case.names.lm*
• [x] confint.lm*
• [ ] cooks.distance.lm*
• [x] deviance.lm*
• [ ] dfbeta.lm*
• [ ] dfbetas.lm*
• [ ] drop1.lm*
• [ ] dummy.coef.lm*
• [ ] effects.lm*
• [x] extractAIC.lm* -> aic, bic
• [x] family.lm*
• [ ] formula.lm*
• [ ] hatvalues.lm*
• [ ] influence.lm*
• [ ] kappa.lm*
• [ ] labels.lm*
• [x] logLik.lm* -> loglikelihood
• [x] model.frame.lm*
• [x] model.matrix.lm*
• [x] nobs.lm*
• [ ] plot.lm*
• [ ] predict.lm*
• [ ] print.lm*
• [ ] proj.lm*
• [ ] qr.lm*
• [x] residuals.lm*
• [ ] rstandard.lm*
• [ ] rstudent.lm*
• [ ] simulate.lm*
• [ ] summary.lm*
• [ ] variable.names.lm*
• [x] vcov.lm*

[StefanKarpinski]

great use of the new task lists :-)

[johnmyleswhite]

I needed an excuse to try them out.

[nalimilan]

See https://github.com/JuliaStats/StatsBase.jl/issues/280 about improving the consistency of our modeling API.

[Nosferican]

See JuliaStats/StatsBase.jl PR#355. It includes a few such as leverage. For rstandard and rstudent, those could be added to residuals with keyword arguments. We could add also add formula(::StatisticalModel).

[nico202]

Any way leverage and cooks distance will be added? (btw, anybody has an implementation that can share?)