Tom Wenseleers
**Describe the solution you'd like** The current `eta_squared` function appears to return partial eta squared values based on type I SS. It is generally reckoned those are not very useful...
Was just wondering if it would be possible to allow for an argument to specify the maximum time by which each expression should be allowed to run? If I benchmark...
I was wondering if it would be possible to support box constraints on the coefficients, using extra vector arguments lower and upper, as in glmnet?
Right now the export functions work on systems in non-interactive mode, provided that they have access to a graphics device (and ggplot2 plots can also be passed as an object)....
More as a feature request: do you think it might be possible to allow some form of regularisation in `mblogit` multinomial fits? When one is dealing with sparse data, one...
Thanks for great package - I was wondering if it would also be possible to support sparse covariate matrices, i.e. matrices of class `dgCMatrix `(where `x` is first made sparse...
I noticed that observation weights are not yet supported - are these not simple to incorporate by noticing that weighted least squares minimizes sum( w * (Y - X %*%...
Would you see any possibility to support box constraints on the fitted coefficients, similar to what can be achieved with lower.limits and upper.limits in glmnet?
Nice package! Would it also be possible to use the same approach to fit other families/distributions, as one can do in glmnet, such as multivariate gaussian, multinomial, binomial or Poisson?
Would it also be possible by any chance to allow for a sparse input matrix (of class "sparseMatrix"), as one can do in glmnet?