## Logistic Regression Models in R

The article is about the use and application of Logistic Regression Models in R Language. In logistic regression models, the response variable ($y$) is of categorical (binary, dichotomous) values such as 1 or 0 (TRUE/ FALSE). It measures the probability …

## Generalized Linear Models (GLM) in R

The generalized linear models (GLM) can be used when the distribution of the response variable is non-normal or when the response variable is transformed into linearity. The GLMs are flexible extensions of linear models that are used to fit the …

## Weighted Least Squares In R

Introduction to Weighted Least Squares in R This post will discuss the implementation of Weighted Least Squares (WLS) in R. The OLS method minimizes the sum of squared residuals, while the WLS weights the square residuals. The WLS technique is …

## Curvilinear Regression in R

Introduction to Curvilinear Regression in R Language In this post, we will learn about some basics of curvilinear regression in R. The curvilinear/non-linear regression analysis is used to determine if there is a non-linear trend exists between $X$ and $Y$. …