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multivarious

https://github.com/bbuchsbaum/multivarious

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (14.7%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Created over 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# multivarious


[![Codecov test coverage](https://codecov.io/gh/bbuchsbaum/multivarious/branch/master/graph/badge.svg)](https://app.codecov.io/gh/bbuchsbaum/multivarious?branch=master)



This package is intended to provide some basic abstractions and default implementations of basic computational infrastructure for multivariate component-based modeling such as principal components analysis.

The main idea is to model multivariate decompositions as involving projections from an input data space to a lower dimensional component space. This idea is encapsulated by the `projector` class and the `project` function. Support for two-way mapping (row projection and column projection) is provided by the derived class `bi-projector`. Generic functions for common operations are included:

- `project` for mapping from input space into (usually) reduced-dimensional output space
- `partial_project` for mapping a subset of input space into output space
- `project_vars` for mapping new variables ("supplementary variables") to output space
- `reconstruct` for reconstructing input data from its low-dimensional representation
- `residuals` for extracting residuals of a fit with `n` components.


## Installation

You can install the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("bbuchsbaum/multivarious")
```
## Example

This is a basic example which shows you how to solve a common problem:

```{r example}
library(multivarious)
## basic example code
```

Owner

  • Login: bbuchsbaum
  • Kind: user

GitHub Events

Total
  • Push event: 15
  • Pull request event: 15
  • Create event: 10
Last Year
  • Push event: 15
  • Pull request event: 15
  • Create event: 10

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 0
  • Total pull requests: 23
  • Average time to close issues: N/A
  • Average time to close pull requests: 16 days
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 22
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • bbuchsbaum (34)
  • olivroy (2)
Top Labels
Issue Labels
Pull Request Labels
codex (33)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 169 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: multivarious

Extensible Data Structures for Multivariate Analysis

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 169 Last month
Rankings
Dependent packages count: 28.0%
Dependent repos count: 36.0%
Average: 49.6%
Downloads: 84.8%
Maintainers (1)
brad.buchsbaum@gmail.com
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • Matrix * imports
  • RSpectra * imports
  • chk * imports
  • corpcor * imports
  • deflist >= 0.1.0 imports
  • fitdistrplus * imports
  • glmnet * imports
  • irlba * imports
  • matrixStats * imports
  • pls * imports
  • proxy * imports
  • purrr * imports
  • rlang * imports
  • rsvd * imports
  • svd * imports
  • covr * suggests
  • magrittr * suggests
  • testthat * suggests
.github/workflows/check-standard.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v3 composite
  • actions/upload-artifact v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite