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Statistical modeling of multinomial logistic regression

Hi! I need assistance in modelling count data (i.e. Poisson model and negative binomial model) in R for a project. Need someone with more knowledge in R and multinomial logistic regression.

The project builds on a count dependent variable: number of reports, and multiple predictors. I have created a Poisson model, but need help evaluating its efficiency compared to, for example a negative binomial model, and how this is coded in R.

Skills: Statistical Analysis, Statistics, R Programming Language, Mathematics

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About the Employer:
( 0 reviews ) Oslo, Norway

Project ID: #22472933

27 freelancers are bidding on average $158 for this job

proffesor1

Hi I know Poisson and negative binomial models very well. I have estimated both its using R. I can help you with this. Please let me know if you are interested in my proposal. Regards, Alex.

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(51 Reviews)
6.9
aminbros

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suyashdhoot

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alkarajput3131

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(73 Reviews)
5.9
mohamedrdait

Hello I ca achieve this project perfectly using R I master R programming , statistics and machine learning I can achieve this project perfectly using glm with poisson model and get the best fitting model by compare mo More

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(55 Reviews)
5.8
schoudhary1553

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RushService

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usmanhassan123

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5.4
Valuesolutions

Hello, i have read the details provided..please contact me to discuss more on the project deadline and some other few things

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(25 Reviews)
5.1
anchalsingh0005

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AliRaza210

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StatisticandArt

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faiiz

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3.1
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yuri20198

Hello, I have done this before. I have deep knowledge in R language. We have to import a library to do this job, then the code will not be too complicated. And do you want to compare efficiency for those two models? Le More

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(1 Review)
2.5
MaLiguo

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ganiyuoluwaseun

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0.2