Diagnostics for HierArchical Regession Models
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Updated
Sep 9, 2024 - R
Diagnostics for HierArchical Regession Models
2SLS Regression with Diagnostics in R
This repository contains the price prediction model for King County, Washington. The model results of this analysis would prove invaluable to stakeholders in the King County, WA housing market.
This script analyses the relationship between the Human Development Index (HDI), population, and non-religious groups in various countries. Plots visualise relationships between HDI, population, and non-religious groups and using scatterplots and a linear regression model to predict.
An R package aimed at making specification curve analysis easy, fast, and pretty. It improves upon existing offerings with additional features and tidyverse integration. Users can easily visualize and evaluate how their models behave under different specifications with a high degree of customization.
This was a course project for the course " Multivariate Data Analysis ".
Detailed implementation of various regression analysis models and concepts on real dataset.
A statistical framework that serves as a common interface to a large range of models
Classical Linear Regression
Statistical Methods for Heart Disease & Indicators Using R Programming
An introductory statistics course for social scientists, using Stata
Statistical Analysis for Student Exam Scores Using SAS Studio
Diagnostic tools for regression modeling.
An R Companion for the Applied Linear Statistical Models by Kutner, Nachtsheim, Neter, and Li (2005).
Functions and data for Darlington's and Hayes' "Regression Analysis and Linear Models" book used in Utah State University's EDUC 7610 course
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
Modelldiagnostik der linearen Regression mit R
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