ShinyServer
List of contents
Shiny apps
Simple linear regression
Regression coefficients, least squares and distance choice
Randomness of the regression line
Coverage of the confidence intervals
Confidence intervals for prediction
ANOVA decomposition
Dealing with nonlinear relationships
Multiple linear regression
Least squares and distance choice
Assumptions of the linear model
ANOVA decomposition
Dealing with nonlinear relationships
Linear regression, principal component analysis, and partial least squares
Logistic regression
Logistic curve and maximum likelihood fit
Randomness of the logistic regression curve
Confidence intervals for prediction
Dealing with nonlinear relationships
Nonparametric density estimation
Bias and variance of the moving histogram
Construction of the kernel density estimator
Bandwidth selection in kernel density estimation
Transformation of kernel density estimator
Nonparametric regression estimation
Construction of the local polynomial regression estimator
Construction of the local likelihood estimator
Other
An illustration of nonparametric vs parametric estimation
Rmd
documents
A 10 minute-ish introduction to linear regression
License
All the material in this repository is licensed under
CC BY-NC-ND 4.0
.