freestats: Statistical algorithms used in common data mining course

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A collections of useful statistical functions used in Columbia course W4240/W4400.

Author
Xiaoyao Yang
Date of publication
2014-05-07 08:02:00
Maintainer
Xiaoyao Yang <hyper8866@gmail.com>
License
BSD_3_clause + file LICENSE
Version
0.0.3

View on CRAN

Man pages

adaBoost
Adaboost algorithm
classify
Generic classify function
classify.ab
Classify for adaboost result
classify.default
Default method for classify
classify.ds
classify.ds
classify.pt
Classify for perceptrain result
cost.01
cost.01
cost.mse
cost.mse
cv.work
K-fold cross validation
decisionStump
Decision Stump Algorithm
fakedata
Generating seperatable data
freestats
Helper functions
perceptrain
An original perceptron algorithm

Files in this package

freestats
freestats/NAMESPACE
freestats/R
freestats/R/freestats-package.R
freestats/R/DecisionStump.R
freestats/R/costmse.R
freestats/R/fakedata.R
freestats/R/cost01.R
freestats/R/perceptrain.R
freestats/R/adaBoost.R
freestats/R/cvwork.R
freestats/R/classify.R
freestats/MD5
freestats/DESCRIPTION
freestats/man
freestats/man/classify.ds.Rd
freestats/man/freestats.Rd
freestats/man/cost.mse.Rd
freestats/man/classify.Rd
freestats/man/perceptrain.Rd
freestats/man/classify.pt.Rd
freestats/man/cost.01.Rd
freestats/man/classify.ab.Rd
freestats/man/decisionStump.Rd
freestats/man/classify.default.Rd
freestats/man/adaBoost.Rd
freestats/man/cv.work.Rd
freestats/man/fakedata.Rd
freestats/LICENSE