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coinprofile

Coincident Profile

https://github.com/wilmermartinezr/coinprofile

Science Score: 20.0%

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
  • ✓
    Academic publication links
    Links to: sciencedirect.com
  • ✓
    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Coincident Profile

Basic Info
  • Host: GitHub
  • Owner: WilmerMartinezR
  • Language: R
  • Default Branch: master
  • Size: 874 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 7 years ago · Last pushed almost 7 years ago
Metadata Files
Readme

README.Rmd 

---
output: github_document
---



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

## Coinprofile

The main goal of Coinprofile is to build the 
  coincident profile according to Martinez, Nieto, and Poncela (2016) 
  \url{https://www.sciencedirect.com/science/article/pii/S0167715215003764}.
  This methodology studies the relationship between a couple of
  time series based on the the set of turning points of each
  time series. To calculate the 
  turning points we use Bry and Boschan (1971) 
  methodology. The coincident profile establishes if two time
  series are coincident, or one of them leads the second.
## Installation

You can install the released version of Coinprofile from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("Coinprofile")
```
## Example

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

```{r example}
library(Coinprofile)
## basic example code
set.seed(123)
w <- seq(-3, 7, length.out = 100)
x1 <- sin(pi*w)+rnorm(100,0,0.1)
x2 <- sin(pi*w-0.1)+rnorm(100,0,0.1)
coincident_profile(x1, x2, 4, 5, "name.x", "name.y", TRUE, 1991, 2015, 4, 4)
```

## In this example x leads y three periods

```{r example}
set.seed(123)
w <- seq(-3, 7, length.out = 100)
x <- sin(pi*w)+rnorm(100,0,0.1)
y <- sin(pi*w-1)+rnorm(100,0,0.1)
coincident_profile(x, y, 4, 6, "name.x", "name.y", TRUE, 1991, 2015, 4, 4)

```

Owner

  • Login: WilmerMartinezR
  • Kind: user

GitHub Events

Total
Last Year

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 6
  • Total Committers: 2
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
WilmerMartinezR 5****R@u****m 4
Wilmer Martinez w****n@a****u 2
Committer Domains (Top 20 + Academic)
asu.edu: 1

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 239 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: Coinprofile

Coincident Profile

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 239 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 38.3%
Downloads: 62.3%
Maintainers (1)
womartin@asu.edu
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • Rdpack * imports
  • coin * imports
  • exactRankTests >= 0.8 imports
  • ggplot2 >= 1.0.1 imports
  • plyr * imports
  • stats * imports
  • zoo * imports
  • knitr * suggests
  • rmarkdown * suggests