Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (3.6%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
Repository
Functions for the lognormal-GPD mixture
Basic Info
- Host: GitHub
- Owner: marco-bee
- License: other
- Language: R
- Default Branch: main
- Size: 24.4 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
README.md
Overview
The goal of lognGPD is to estimate a lognormal - Generalized Pareto mixture via the EM algorithm.
Installation
You can install the development version of lognGPD from GitHub with:
``` r
install.packages("pak")
pak::pak("marco-bee/lognGPD") ```
Example
This is a basic example which shows you how to simulate and estimate a lognormal-GPD mixture:
r
library(lognGPD)
y <- rlognGPD(100,.9,0,1,0.5,2)
x0 <- c(.7,.2,1.3,.8,1.7)
res <- EMlogngpdmix(x0, y, maxiter = 1000, nboot = 0)
Owner
- Login: marco-bee
- Kind: user
- Repositories: 1
- Profile: https://github.com/marco-bee
GitHub Events
Total
- Push event: 4
- Create event: 2
Last Year
- Push event: 4
- Create event: 2
Packages
- Total packages: 1
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Total downloads:
- cran 180 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: lognGPD
Estimation of a Lognormal - Generalized Pareto Mixture
- Homepage: https://github.com/marco-bee/lognGPD
- Documentation: http://cran.r-project.org/web/packages/lognGPD/lognGPD.pdf
- License: MIT + file LICENSE
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Latest release: 0.1.0
published about 1 year ago
Rankings
Dependent packages count: 26.4%
Dependent repos count: 32.5%
Average: 48.5%
Downloads: 86.6%
Maintainers (1)
Last synced:
10 months ago