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bestglm (version 0.37.3)

Best Subset GLM and Regression Utilities

Description

Best subset glm using information criteria or cross-validation, carried by using 'leaps' algorithm (Furnival and Wilson, 1974) or complete enumeration (Morgan and Tatar, 1972) . Implements PCR and PLS using AIC/BIC. Implements one-standard deviation rule for use with the 'caret' package.

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Version

Install

install.packages('bestglm')

Monthly Downloads

2,341

Version

0.37.3

License

GPL (>= 2)

Maintainer

Yuanhao Lai

Last Published

March 13th, 2020

Functions in bestglm (0.37.3)

SAheart

South African Hearth Disease Data
plot1SDRule

Plot Regularization Path and One Standard Deviation Rule
zprostate

Prostate cancer data. Standardized.
Shao

Simulated Regression Data
plot.pcreg

Diagnostic plots for PCR and PLS
dgrid

Scaled Variables Dependency Plots: Output vs Inputs
AirQuality

Daily ozone pollution with meteorlogical and date inputs
CVDH

Adjusted K-fold Cross-Validation
Detroit

Detroit homicide data for 1961-73 used in the book Subset Regression by A.J. Miller
manpower

Hospital manpower data
fitted.pcreg

Fitted values in PCR and PLS.
mcdonald

Pollution dataset from McDonald and Schwing (1973)
Fires

Forest fires in Montesinho natural park. Standardized inputs.
CVHTF

K-fold Cross-Validation
trainTestPartition

Partition Dataframe into Train/Test Samples
bestglm-package

bestglm: Best Subset GLM
hivif

Simulated Linear Regression (Train) with Nine Highly Correlated Inputs
oneSDRule

Utility function. Implements the 1-sd rule.
bestglm

Best Subset GLM using Information Criterion or Cross-Validation
asbinary

Binary representation of non-negative integer
print.pcreg

Print method for `pcreg` object
CVd

Cross-validation using delete-d method.
grpregPredict

Predictions on Test Data with Grpreg
pcreg

Principal Component and Partial Least Squares Regression
residuals.pcreg

Residuals Fitted PCR or PLS
summary.bestglm

summary of `bestglm` object
sphereX

Sphere Data Matrix
summary.pcreg

Summary Method for Pcreg.
rubber

Abrasion loss for various hardness and tensile strength
Iowa

Iowa School Test
print.bestglm

Print method for `bestglm` object
glmnetGridTable

Multipanel Display and Table Glmnet CV Output.
predict.pcreg

Predict Method for Pcreg.
vifx

Variance Inflation Factor for a Design Matrix
znuclear

Nuclear plant data. Quantitative inputs logged and standardized.
glmnetPredict

Glmnet Prediction Using CVAV.
LOOCV

Leave-one-out cross-validation
MontesinhoFires

Forest fires in Montesinho natural park
NNPredict

Nearest Neighbour Regression Prediction