gamboostLSS

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bivariate Poisson family

1

Hi gamboostLSS-Team, I have implemented the bivariate Poisson distribution as a new families-object within your package for a project which is currently under review. One referee suggested to make a...

marius-oetting

Error when predicting with large N

1

I'm getting an error when trying to predict using gamboost, but the error only appears for me when the N becomes large. E.g. running this code with 10000 rows of...

bryorsnef

Problem on calculating risk in gamboostLSS with noncyclical approach

1

Consider the following Gaussian distribution example: ``` library(gamboostLSS) # g_muvsi is a function that allows to see which distribution # parameter is updated in each iteration. # If mu is...

FAUBZhang

Add option for stochastic gradient descent

1

jeffery-leirness

Change links in as.families()

3

It should be possible to use different link functions in families that we import from `gamlss` via `as.families()`, currently we are just using the default. The link function is crucial...

mayrandy

to work with gamboostLSS. At best, for both the cyclic and the non-cyclic variants.

hofnerb

analogously to https://github.com/boost-R/mboost/issues/61

hofnerb

Try to fix.

hofnerb

In mboostLSS_fit() all offset values of the distribution parameters (mu, sigma, ...) are written in each distribution parameter model. e.g. The fit object of the mu parameter has a variable...

ja-thomas