Mark van der Loo

yep. should add it.

Ratio imputation is based on a weighted single regressio regression Y = bX with weights 1/X. Would be nice to have a `impute_ratio` function. Also `lm` makes a different choice...

by predicting with `predict.all=TRUE` we get the matrix of predictions. Row-wise aggergation can be customized (but it may cost a lot of memory as the matrix of predictions equals nrow(newdata)...

This generalizes the (grouped) median approach. Needs dependency on the [quantreg](https://CRAN.R-project.org/package=quantreg) package.

generalize to ordered factor

3

They are now treated as in Gower's original paper.

It is currently not possible to compare `character` variables with `factor` variables. This should be added w/o breaking the design principle that prevents the package from making copies of data.

We can do a `dist` matrix naively as follows: ```r gower_distmat

let the user tell `gower_dist` what the data ranges are.

Need to update so cran is not swamped when a dependency tests using `gower`.