Tom Wenseleers

Support gam and scam models?

5

Was also wondering if it would be hard to also support mgcv::gam (generalized additive models) and scam (shape constrained additive models) models? The recipe to calculate confidence and prediction intervals...

Support gls models?

3

Would it also be possible for the package to support confidence and prediction intervals for gls models?

Support methods to calculate AIC and BIC values of biglasso fit

14

I was wondering if it would be possible to also support the calculation of AIC and BIC values of a biglasso fit, similar to the way that the ncvreg package...

In glmnet it is possible to impose positivity constraints on the fitted coefficients using the lower.limits argument and box constraints using the upper.limits argument. Would it be possible to incorporate...

Support for other families recognized by glmnet (poisson, multinomial, cox, mgaussian)

1

Great package! Are there any plans to extend it to also support the other families currently supported by glmnet, i.e. "poisson","multinomial","cox" and "mgaussian"? (I was currently working on a problem...

I am having trouble with text being slightly shifted vertically in the PPT output compared to what I see onscreen (e.g. the X axis labels touch the X axis tickmarks...

Minimalist implementations of multinomial & negative binomial GLMs?

1

I always found your minimalist IRLS GLM algorithm at [http://bwlewis.github.io/GLM/ ] very handy to explain to students how GLMs work. I was wondering if, by any chance, you would also...

All glm algo's much slower than glm.fit - problem with starting values?

5

I noticed that all algo's listed are significantly slower than the inbuilt `glm.fit.` Why is this? Does `glm.fit` use better starting values perhaps? Or is this due to the use...

Allow for observation weights to be able to fit e.g. identity link Poisson GLMs (with or without nonnegativity constraints)

2

Just wondering if it would be possible to support an extra argument weights with observation weights? Right now I can fit an `L0Learn `model with observation weights by multiplying both...

Support for quasibinomial, quasipoisson, negative binomial, multinomial & Dirichlet multinomial families?

3

Are there any plans to also support additional GLM families like quasibinomial, quasipoisson, negative binomial, multinomial, Dirichlet-multinomial (overdispersed multinomial) & ordinal GLMs, some of which are now supported by e.g....