Code Better: Programming Skills for Developers
Code Better: Programming Skills for Developers
Categories / regression
Understanding False Discovery Rates (FDR) in R: A Guide to Statistical Significance Correction
2025-01-27    
Understanding the Error in Predicted Values: A Step-by-Step Guide
2025-01-11    
Predicting Values for Factor Variables in Regression Models: A Guide to Linear Models and ANOVA
2024-12-13    
Understanding the merModLmerTest Object in R: A Deep Dive into Linear Mixed Effects Modeling with REML=FALSE Option for Enhanced Statistical Inference
2024-09-11    
Using purrr Map to Simplify Multiple Linear Regressions for Each Predictor in a Data Frame
2024-09-03    
Time Series Modeling with R: A Comprehensive Guide to Implementing Campbell and Diebold's (2005) ARMA-GARCH Model
2024-08-05    
Performing Multiple Linear Regression with an Independent Variable Plus 1 Standard Deviation Using R and the Tidyverse.
2023-12-09    
Understanding Multiple Linear Regression Models: Quantifying Predictor Importance and Residual Variance in Predictive Accuracy
2023-09-10    
Understanding glmnet's Mapping of Factor Levels in Logistic Regression: A Guide to Proper Interpretation
2023-08-09    
Estimating Deviance Information Criterion for Beta Regression Models Using R Packages
2023-07-27    
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Ported from Makito's Journal.

© 2025 Code Better: Programming Skills for Developers