README.md

In kyuridata/ksmm: ksmm algorithm

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KSMM

Kernel Support Matrix Machine

ksmm is an R package. ksmm provides functions to fit support matrix machine, and it also provides datas that used to fit.

1. INSTALLATION

ksmm is not submitted to CRAN. Therefore, the ksmm can not be installed through install.packages("ksmm") in R prompt. Instead, ksmm can be installed through our GitHub. Please see below to install in R.

(1) From GitHub

> library(devtools)
> install_github("kyuridata/ksmm")

2. USAGE NOTES

(1) Access to and use of real data in the manuscript

• Nottingham data : The nottingham data is the collection of images useful for conducting experiments in faces. This data can be available at pics.stir.ac.uk

> library(ksmm)
> data(nottingham)

• Brainwave data : The EEG signal data from 10 college students while they watched MOOC video clips. Click the link for more details.

> library(ksmm)
> data(braninwave)

• EEG Alcohol data : The multiple electrode time recordings of control and alcoholic subjects. Click the link for more details.

> library(ksmm)
> data(EEG_alcohol)

(2) Description of R functions in ksmm

• Descriptions of arguments in the functions in ksmm can be obtained by help() or ? in R prompt, and documentation of ksmm.

(3) List of R functions in ksmm

• ksmm : ksmm function is used to fit the type I and II ZILNBGM model, and ZILPGM model.

• kfold_ksmm : kfold_ksmm function tunes hyperparameters of statistical methods using a grid search over supplied parameter ranges for ksmm.

kyuridata/ksmm documentation built on Dec. 21, 2021, 8:47 a.m.