Logistic Regression-Guided Identification of Cofactor Specificity-Contributing Residues in Enzyme with Sequence Datasets Partitioned by Catalytic Properties | ACS Synthetic Biology
tidymodels: bootstrapping for coefficient uncertainty and prediction | Patrick Ward, PhD
Bacterial tolerance to host-exuded specialized metabolites structures the maize root microbiome | PNAS
mcvis: multicollinearity visualisation
Bootstrap Your Standard Errors in R, the Tidy Way | Steven V. Miller
tidymodels: bootstrapping for coefficient uncertainty and prediction | Patrick Ward, PhD
RPubs - Model assumptions and reporting results
Tidy bootstrapping • broom
Bootstrapping for Parameter Estimates · UC Business Analytics R Programming Guide
yuzaR-Blog: 4 Reasons Non-Parametric Bootstrapped Regression (with tidymodels) is Better thаn Ordinary Regression
tidymodels: bootstrapping for coefficient uncertainty and prediction | Patrick Ward, PhD
4 Classification | An Introduction to Statistical Learning with the tidyverse and tidymodels
yuzaR-Blog: 4 Reasons Non-Parametric Bootstrapped Regression (with tidymodels) is Better thаn Ordinary Regression
Bootstrap resampling with #TidyTuesday beer production data | Julia Silge · Issue #41 · juliasilge/juliasilge.com · GitHub
broom: a package for tidying statistical models into data frames | R-bloggers
Tidy bootstrapping • broom
tidymodels: bootstrapping for coefficient uncertainty and prediction | Patrick Ward, PhD
Bootstrapping Regression Coefficients in grouped data using Tidymodels | DataWim | by Mohsin Ramay | Medium
Regression - linear models
Tools for summarizing and visualizing regression models • jtools
tidymodels: bootstrapping for coefficient uncertainty and prediction | Patrick Ward, PhD
Tidymodels tutorial for machine learning in R | Step By Step Data Science
High dimensional statistics with R
SML_application_R.ipynb - Colaboratory
