Reparametrization of COM-Poisson Regression Models

• Title: Reparametrization of COM-Poisson Regression Models with Applications in the Analysis of Experimental Count Data
• Authors: Ribeiro Jr, E. E.; Zeviani, W. M.; Bonat, W. H. & Demétrio, C. G. B..
• Journal: To appear.
• Status: Accepted for oral presentation.
• Preprint: https://arxiv.org/abs/1801.09795

[2018, article]

Ribeiro Jr, E. E., Zeviani, W. M., Bonat, W. H., Demétrio, C. G. B., & Hinde, J. (2018). Reparametrization of COM-Poisson Regression Models with Applications in the Analysis of Experimental Data. to appear.

Data sets

• Data set 1 (Section 6.1) Artificial defoliation in cotton phenology
• Data set 2 (Section 6.2) Soil moisture and potassium doses on soybean culture
• Data set 3 (Section 6.3) Assessing toxicity of nitrofen in aquatic systems

R codes for analysis

• Graphics configuration Style settings and panel for lattice graphics
• General functions General functions to analysis (log-likelihoods, optimizers, prediction functions, and more)
• Distribution study Distribution study (normalizing constant, moments approximation and indexes to characterized the distribution)
• Simulation study Simulation study (bias of maximum likelihood estimators, covarage rates and orthogonality study)
• Defoliation experiment analysis Results of section 6.1
• Soybean experiment analysis Results of section 6.2
• Nitrofen experiment analysis Results of section 6.3

Source code

• GitHub Repository Git versioned repository, hosted on GitHub.