Package: ssr 0.1.1

Enrique Garcia-Ceja

ssr: Semi-Supervised Regression Methods

An implementation of semi-supervised regression methods including self-learning and co-training by committee based on Hady, M. F. A., Schwenker, F., & Palm, G. (2009) <doi:10.1007/978-3-642-04274-4_13>. Users can define which set of regressors to use as base models from the 'caret' package, other packages, or custom functions.

Authors:Enrique Garcia-Ceja [aut, cre]

ssr_0.1.1.tar.gz
ssr_0.1.1.zip(r-4.7-any)ssr_0.1.1.zip(r-4.6-any)ssr_0.1.1.zip(r-4.5-any)
ssr_0.1.1.tgz(r-4.6-any)ssr_0.1.1.tgz(r-4.5-any)
ssr_0.1.1.tar.gz(r-4.7-any)ssr_0.1.1.tar.gz(r-4.6-any)
ssr_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ssr/json (API)

# Install 'ssr' in R:

install.packages('ssr', repos = c('https://enriquegit.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/enriquegit/ssr/issues

Datasets:

friedman1 - Friedman1 dataset.

On CRAN:

data-science machine-learning regression semi-supervised-learning

4.45 score 2 stars 28 scripts 287 downloads 1 mentions 2 exports 73 dependencies

Last updated from:bbf935ecac. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	119
source / vignettes	OK	265
linux-release	NOTE	112
macos-release	NOTE	171
macos-oldrel	NOTE	160
windows-devel	NOTE	82
windows-release	NOTE	71
windows-oldrel	NOTE	84
wasm-release	OK	100

Exports:split_train_test ssr

Dependencies:caret class cli clock codetools cpp11 data.table diagram digest dplyr e1071 farver foreach future future.apply generics ggplot2 globals glue gower gtable hardhat ipred isoband iterators KernSmooth labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix ModelMetrics nlme nnet numDeriv parallelly pillar pkgconfig plyr pROC prodlim progressr proxy purrr R6 RColorBrewer Rcpp recipes reshape2 rlang rpart S7 scales shape sparsevctrs SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tzdb utf8 vctrs viridisLite withr

Introduction to the ssr package

Rendered fromssr-package-vignette.Rmdusingknitr::rmarkdown

Last update: 2019-09-01
Started: 2019-08-13

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
friedman1 dataset.	friedman1
Plots a ssr object	plot.ssr
Predictions from a fitted ssr object	predict.ssr
Splits a data frame into train and test sets.	split_train_test
Fits a semi-supervised regression model	ssr