Model Assumptions Evaluation and Solution

I've developed Generalized Linear Models (GLMs) and Linear Models (LMs), and I need a seasoned professional to assess them. This evaluation should indicate whether the assumptions of the models are met and if not, suggest how to rectify them.

Key Areas for Assessment:
- Linearity of variables
- Independence of errors
- Homoscedasticity of errors
- Collinearity
- Overdispersion

This project is crucial for me as the models' accuracy largely depends on how well their assumptions are being met. Your insights will greatly help me in improving these models and making better data-driven decisions.

Ideal Skills and Experience:
- Proficiency in GLMs and LMs
- Proficiency in R language
- Strong understanding of the assumptions underlying these models
- Experience in model assessment and rectification
- Excellent communication skills to explain complex statistical concepts in an understandable way
- A proven track record in similar projects would be a great plus.