README.md

In wboughattas/Stat360:

STAT360

A package written in R that is sufficient to answer every statistics related question that is covered in STAT360. One function that accepts a database in txt format and outputs every answers associated with covered topics.

Covered topics:

• Simple linear regression models; estimation of regression function; estimation of error term variance; normal error regression model.
• Inferences concerning ß1 and ß0; interval estimation of E(Yh)
• Prediction of new observation; confidence band for regression line; ANOVA approach to regression analysis.
• General linear test approach; descriptive measures of linear association between X and Y; diagnostics for predictor variable; residuals.
• Diagnostic for residuals; overview of tests involving residuals; F-test for lack of fit.
• Joint estimation of ß0 and ß; simultaneous estimation of mean responses; simultaneous prediction intervals for new observations; regression through origin.
• simple linear regression model in matrix terms; least square estimation of regression parameters
• Fitted values and residuals; ANOVA results; inferences in regression analysis.
• Multiple regression models; general linear regression model in matrix terms; estimation of regression coefficients.
• Fitted values and residuals; ANOVA results; inferences about regression parameters.
• Estimation of mean response and prediction of new observation; multiple regression with two predictor variables. Extra sum of squares & its application.
• Tests concerning regression coefficients; coefficient of partial determination; standardized multiple regression models

Goals and Future improvements

The existing code's main purpose is to automate homework/assignments. Future release will include a web interface using R Shiny.

Installing in R

install_github("wassooma/Stat360")
library(sourcetools)

Authors

• Wasim Boughattas - wboughattas

wboughattas/Stat360 documentation built on Dec. 23, 2021, 5:09 p.m.