scR
An R Package for Estimating VCD Dimension and Required Sample Size for Applied Machine Learning Research
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (3.8%) to scientific vocabulary
Repository
An R Package for Estimating VCD Dimension and Required Sample Size for Applied Machine Learning Research
Basic Info
- Host: GitHub
- Owner: pjesscarter
- License: other
- Language: R
- Default Branch: main
- Size: 60.3 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
scR: Learning from Noise: Applying Sample Complexity Bounds for Political Science Research
This R package provides a computationally efficient way of calculating Sample Complexity Bounds (scb), suggested by Carter and Choi (2023).
Authors
Paper
Learning from Noise: Applying Sample Complexity Bounds for Political Science Research
Installation
Install the package from CRAN by running the R commands:
r
install.packages("scR")
library("scR")
Owner
- Name: Perry Carter
- Login: pjesscarter
- Kind: user
- Location: New Jersey, United States
- Company: Princeton University
- Repositories: 1
- Profile: https://github.com/pjesscarter
GitHub Events
Total
- Push event: 37
Last Year
- Push event: 37
Packages
- Total packages: 1
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Total downloads:
- cran 196 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: scR
Estimate Vapnik-Chervonenkis Dimension and Sample Complexity
- Homepage: https://github.com/pjesscarter/scR
- Documentation: http://cran.r-project.org/web/packages/scR/scR.pdf
- License: MIT + file LICENSE
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Latest release: 0.4.0
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- caret * imports
- dplyr * imports
- ggplot2 * imports
- parallel * imports
- pbapply * imports
- plotly * imports
- tidyr * imports
- knitr * suggests
- rmarkdown * suggests