A comprehensive repository containing exercise questions, datasets, and solutions for a Statistical modeling course implemented using R.
This repository provides statistical modeling concepts learnt from the course Statistical Modeling 1 (Data.Stat.740). The task includes understanding of Linear models, Nonlinear normal models, Nonnegative response models, Count data models, Categorical data models, and Survival data analysis and applying modern statistical modeling tools especially for regression and classification problems. It covers theory of generalized linear models in the case of gamma and other positive distributions. It further shows how to model count data by Poisson regression models and zero-inflated models.
Project is created with:
- R (Version 4.3.3)
- RStudio
- Tidyverse
- plotly
- nnet
- ordinal
- survival
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Clone the repository:
git clone https://github.com/chowdhurynaziaenam/Statistical-Modeling.git -
Open the project in RStudio
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Install required packages
This repository contains statistical modeling concepts learnt from the course Statistical Modeling (Course Code: Data.Stat.740) offered at Tampere University in 2023.
https://www.tuni.fi/en/students-guide/curriculum/course-units/uta-ykoodi-48007?year=2023
I would like to acknowledge Prof. Jarkko Isotalo for designing the course and providing valuable learning materials related to statistical modeling of data. The tasks and solutions in this repository are modified upon based on my learnings from the course.