Summary for all work

Done:
1. Generalized Poisson model (GP-P): GitHub - Status[Merged]
2. Generic Zero-Inflated model , Zero-Inflated Poisson model, Zero-Inflated Generalized Poisson model, Zero-Inflated Generalized Negative Binomial model: GitHub - Status[Review]
3. Generic Truncated model and Poisson Truncated model, Truncated Generalized Negative Binomial model, Truncated Generalized Poisson model: GitHub - Status[Review]
4. Generic Censored model, Censored Poisson model, Censored Generalized Poisson model, Censored Negative Binomial model: GitHub - Status[Review]
5. Hurdle model: GitHub - Status[Need tests]
6. Generalized Negative Binomial (NB-P) model: GitHub - Status[Merged]

3, 4, 5 PR goes as a single PR, but includes very different model. That was done, because Hurdle model based on Truncated and Censored model.

Final week. Summary of all work.

Hi everyone!

Last one week i prepared to merge Generalized Negative Binomial (NB-P) model and tried to fix bug in Hurdle model. For now NB-P model looks pretty good. Current Hurdle model still needs in fixing bug  in Censored model.

Small summary of all work

Done:
1. Generalized Poisson model (GP-P): GitHub - Status[Merged]
2. Generic Zero-Inflated model and Zero-Inflated Poisson model: GitHub - Status[Review]
3. Generic Truncated model and Poisson Truncated model: GitHub - Status[Review]
4. Generic Censored model: GitHub - Status[Fix needed]
5. Generic Hurdle model: GitHub - Status[Fix needed(based on Censored)]
6. Generalized Negative Binomial (NB-P) model: GitHub - Status[Pre-merge, last step of review]

So, final week will be spent to make all PR's looks good and to fix all problems.

Second evaluation passed successfully

Hello everyone!

Second evaluation is over. I successfully passed it. Third work period still ahead.

In the previous 2 week was reimpplemented/refactored Negative Binomial model to Negative Binomial  model with p-parameter. Part of the tests was copied from existing Negative Binomial model and missing part was implemented. This model is fully prepared to merge.

Another part of work was Hurdle model.
My first tests shows that previous implementation of Hurdle model didn't work well. One part works well, anoter part works wrong. When i implemented censored model and change wrong part to censored model, hurdle model gave true results. All results i compared with Hurdle model from R package pscl.
Just one problem: how to print these two part as a one model and avoid reimplementing result class. This problem needs to solve in the near future.

Have a good work!