Introduction to linear and non-linear regression models with R
Course description
This course will address the use of regression models, mainly focusing on Nonlinear Regression.
Practical examples will be provided using RStudio as a tool for execution, and basic concepts of simple linear regression, introduction to nonlinear regression models, methods for obtaining initial parameter values, and model selection criteria will be covered.
Objectives
- Understand the concept of Regression Analysis and know how to perform it using the R programming language.
- Learn about nonlinear regression models.
- Learn how to obtain initial guesses to perform nonlinear regression.
- Understand how to use some indicators to select appropriate models for a dataset.
Study units
- Introduction to the general linear regression model
- Introduction to nonlinear regression models
Dedication
- Theoretical study (80%)
- Activity (20%)
Student commitment
- Access
- Study
- Perform the activity
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