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When using the glm function: which is the best distribution for multinomial regression --- is it "binomial"? If the glm function doesn't have an appropriate distribution for multinomial regression, which r package has a better function? Thank you!
You may try the nnet::multinom()
You can find the documentation at here.
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Is there a library that compute precision and recall of a fitted model in R.
Perhaps the caret package might help.
https://topepo.github.io/caret/measuring-performance.html
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I use YJ transformation for predictor variables and try to plot the model between predicted and observed values. Could you please help me to do this?
I am looking for a r code for inverse of Yeo-Johnson transformation.
There's an answer to this in the comments for this question over at Cross Validated. Here's the documentation for VGAM::yeo.johnson (use inverse = TRUE).
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I want to generate random points of uniform density over the unit ball [-1,1]^d in R.
Are there any R packages which offer this functionality?
I am sure i can do this myself by extending this answer: https://math.stackexchange.com/a/87238/250498 to d dimensions.
But i want to know if there is any function or package in R that already does this.
It would be useful if there is a package which can generate standard multivariate distributions instead of me having to sample them myself using rejection sampling or other techniques.
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I would like to estimate mean and standard deviation from a series of censored normal distributions in my data in R. Do you suggest any particular package in order to do it?
Thank you very much for your help!
Check this package from the University of Pennsylvania:
http://finzi.psych.upenn.edu/R/library/EnvStats/html/enparCensored.html
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I am aware of the http://cran.r-project.org/web/packages/glmnet/index.html and http://cran.r-project.org/web/packages/penalized/index.html packages, but neither of them seems to support Gamma GLMs.
I'd like to utilize elastic net for gamma GLMs in R, what is the easiest way to do it?
(meta: also debating whether this should go on Cross Validated for better responses?)
You can use the HDtweedie package. Gamma is a special case of the Tweedie distribution with p = 2. It's a relatively new package, so expect some teething problems.