Best Subset GLM and Regression Utilities
bestglm: Best Subset GLM
Best Subset GLM using Information Criterion or Cross-Validation
Cross-validation using delete-d method.
Adjusted K-fold Cross-Validation
K-fold Cross-Validation
Scaled Variables Dependency Plots: Output vs Inputs
Fitted values in PCR and PLS.
Multipanel Display and Table Glmnet CV Output.
Glmnet Prediction Using CVAV.
Predictions on Test Data with Grpreg
Leave-one-out cross-validation
Nearest Neighbour Regression Prediction
Utility function. Implements the 1-sd rule.
Principal Component and Partial Least Squares Regression
Diagnostic plots for PCR and PLS
Plot Regularization Path and One Standard Deviation Rule
Predict Method for Pcreg.
Print method for bestglm object
Print method for pcreg object
Residuals Fitted PCR or PLS
Sphere Data Matrix
summary of bestglm object
Summary Method for Pcreg.
Binary representation of non-negative integer
Partition Dataframe into Train/Test Samples
Variance Inflation Factor for a Design Matrix
Best subset glm using information criteria or cross-validation, carried by using 'leaps' algorithm (Furnival and Wilson, 1974) <doi:10.2307/1267601> or complete enumeration (Morgan and Tatar, 1972) <doi:10.1080/00401706.1972.10488918>. Implements PCR and PLS using AIC/BIC. Implements one-standard deviation rule for use with the 'caret' package.