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gppm

Implementation of Gaussian Process Panel Modeling in R

https://github.com/karchjd/gppm

Science Score: 33.0%

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

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: frontiersin.org
  • ✓
    Committers with academic emails
    2 of 3 committers (66.7%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.9%) to scientific vocabulary

Keywords

longitudinal-data longitudinal-studies r
Last synced: 6 months ago · JSON representation

Repository

Implementation of Gaussian Process Panel Modeling in R

Basic Info
  • Host: GitHub
  • Owner: karchjd
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 5.58 MB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 4
  • Open Issues: 2
  • Releases: 0
Topics
longitudinal-data longitudinal-studies r
Created over 9 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.Rmd 

---
  output: github_document
---

  

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


  
  [![R-CMD-check](https://github.com/karchjd/gppm/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/karchjd/gppm/actions/workflows/R-CMD-check.yaml)
  [![Codecov test coverage](https://codecov.io/gh/karchjd/gppm/graph/badge.svg)](https://app.codecov.io/gh/karchjd/gppm)
  

## Overview

gppm is an implementation of Gaussian process panel modeling.

## Installation

```{r, eval = FALSE}
devtools::install_github("karchjd/gppm")
```

## Examples

For examples, consult the demos. To see a list of all demos do the following:
```{r}
demo(package = "gppm")
```

To run a particular example, you can do the following. Here, exemplified for 'example1linearModel':
```{r, eval=FALSE}
demo("example1linearModel", package = "gppm")
```

However, the recommended approach is to look at the source directly. To locate the demo folder in which all examples resides on your computer, do the following:
```{r}
system.file("demo", package = "gppm")
```

## Learning Gaussian Process Panel Modeling

This [dissertation][diss] and this [paper][pap] describe the method.

## Getting help

Send an email to j.d.karch@fsw.leidenuniv.nl.

[diss]: https://edoc.hu-berlin.de/handle/18452/18293
[pap]: https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2020.00351/full

Owner

  • Login: karchjd
  • Kind: user

GitHub Events

Total
  • Issues event: 1
  • Push event: 10
Last Year
  • Issues event: 1
  • Push event: 10

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 116
  • Total Committers: 3
  • Avg Commits per committer: 38.667
  • Development Distribution Score (DDS): 0.172
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Julian Karch j****h@f****l 96
Julian Karch k****h@m****e 18
karchjd j****h@g****m 2
Committer Domains (Top 20 + Academic)
mpib-berlin.mpg.de: 1 fsw.leidenuniv.nl: 1

Packages

  • Total packages: 1
  • Total downloads:
    • cran 55 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: gppm

Gaussian Process Panel Modeling

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 55 Last month
Rankings
Forks count: 14.9%
Stargazers count: 26.2%
Dependent packages count: 29.8%
Average: 35.3%
Dependent repos count: 35.5%
Downloads: 70.4%
Maintainers (1)
j.d.karch@fsw.leidenuniv.nl
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.1.0 depends
  • Rcpp >= 0.12.17 depends
  • MASS >= 7.3 imports
  • ggplot2 >= 2.2.1 imports
  • ggthemes >= 3.5.0 imports
  • methods * imports
  • mvtnorm >= 1.0 imports
  • rstan >= 2.17.3 imports
  • stats * imports
  • knitr >= 1.20 suggests
  • rmarkdown >= 1.10 suggests
  • roxygen2 >= 6.0.1 suggests
  • testthat >= 2.0.0 suggests