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
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Last synced: 6 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: TomBJJJ
- License: other
- Language: R
- Default Branch: main
- Size: 550 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 0
Created over 1 year ago
· Last pushed 11 months ago
Metadata Files
Readme
Changelog
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# silp
The goal of silp is to ...
## Installation
You can install the development version of silp from [GitHub](https://github.com/TomBJJJ/silp) with:
devtools::install_github("TomBJJJ/silp")
``` r
# install.packages("devtools")
devtools::install_github("TomBJJJ/silp")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example}
library(silp)
## basic example code
data = generate_data(100, 0.3, 0.4, c(1,1,1,1), 0.9)
model = "
fy =~ y1 + y2 + y3 + y4
fx =~ x1 + x2 + x3 + x4
fz =~ z1 + z2 + z3 + z4
fy ~ fx + fz + fx:fz
"
fit = silp(model, data)
refit = resilp(fit)
```
Owner
- Name: Tseng Yi Hsuan
- Login: TomBJJJ
- Kind: user
- Repositories: 1
- Profile: https://github.com/TomBJJJ
GitHub Events
Total
- Delete event: 1
- Push event: 15
- Pull request event: 1
- Create event: 2
Last Year
- Delete event: 1
- Push event: 15
- Pull request event: 1
- Create event: 2
Packages
- Total packages: 1
-
Total downloads:
- cran 246 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: silp
Conditional Process Analysis (CPA) via SEM Approach
- Homepage: https://github.com/TomBJJJ/silp
- Documentation: http://cran.r-project.org/web/packages/silp/silp.pdf
- License: MIT + file LICENSE
-
Latest release: 1.0.3
published 11 months ago
Rankings
Dependent packages count: 28.4%
Dependent repos count: 35.0%
Average: 50.1%
Downloads: 86.8%
Maintainers (1)
Last synced:
7 months ago