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apricom (version 1.0.0)

Tools for the a Priori Comparison of Regression Modelling Strategies

Description

Tools to compare several model adjustment and validation methods prior to application in a final analysis.

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Version

Install

install.packages('apricom')

Monthly Downloads

10

Version

1.0.0

License

GPL-2

Maintainer

Romin Pajouheshnia

Last Published

November 24th, 2015

Functions in apricom (1.0.0)

compare

A Comparison of Regression Modelling Strategies
bootval

Bootstrap-derived Shrinkage After Estimation
loglikelihood

Negative 2 log likelihood
kcrossval

Cross-validation-derived Shrinkage After Estimation
randpart

Accessory Function for Sample Splitting
shrink.heur

Shrinkage After Estimation Using Heuristic Formulae
ols.shrink

Estimation of a Shrinkage Factor for Linear Regression
datashape

Data shaping tools
ml.rgr

Logistic Regression with Maximum Likelihood Estimation
loocval

Leave-one-out Cross-validation-derived Shrinkage
randunif

Multivariable Random Uniform data
randnor

Multivariable Random Normal data
ols.rgr

Linear Regression using Ordinary Least Squares
sse

Sum of Square Errors
randboot

Bootstrap Resampling
compdist

Comparison Distribution Descriptives
strategy

An Accessory Function for Strategy Selection
splitval

Split-sample-derived Shrinkage After Estimation
ml.shrink

Estimation of a Shrinkage Factor for Logistic Regression
grandpart

Accessory Function for Cross-validation