Other packages > Find by keyword >

gfpop  

Graph-Constrained Functional Pruning Optimal Partitioning
View on CRAN: Click here


Download and install gfpop package within the R console
Install from CRAN:
install.packages("gfpop")

Install from Github:
library("remotes")
install_github("cran/gfpop")

Install by package version:
library("remotes")
install_version("gfpop", "1.1.1")



Attach the package and use:
library("gfpop")
Maintained by
Vincent Runge
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-25
Latest Update:
Description:
Penalized parametric change-point detection by functional pruning dynamic programming algorithm. The successive means are constrained using a graph structure with edges defining the nature of the changes These changes can be unconstrained (type std), up or down constrained (type up and down) or constrained by a minimal size jump (type abs). The type null means that the graph allows us to stay on the same segment. To each edge we can associate some additional properties: a minimal gap size, a penalty, some robust parameters (K,a) for biweight (K) and Huber losses (K and a). The user can also constrain the inferred means to lie between some minimal and maximal values. Data is modeled by a cost with possible use of a robust loss, biweight and Huber (see edge parameters K and a). These costs should have a quadratic, log-linear or a log-log representation. This includes quadratic Gaussian cost (type = 'mean'), log-linear cost (type = 'variance', 'poisson' or 'exp') and log-log cost (type = 'negbin'). More details in the paper published in the Journal of Statistical Software: .
How to cite:
Vincent Runge (2020). gfpop: Graph-Constrained Functional Pruning Optimal Partitioning. R package version 1.1.1, https://cran.r-project.org/web/packages/gfpop. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-11-25 11:30), 1.0.1 (2020-11-30 18:00), 1.0.2 (2020-12-01 13:20), 1.0.3 (2021-02-17 14:20), 1.1.0 (2022-03-10 17:50), 1.1.1 (2023-03-27 11:30)
Other packages that cited gfpop R package
View gfpop citation profile
Other R packages that gfpop depends, imports, suggests or enhances
Functions, R codes and Examples using the gfpop R package
Some associated functions: Edge . Node . StartEnd . dataGenerator . gfpop . graph . itergfpop . paperGraph . plot.gfpop . print.gfpop . sdDiff . summary.gfpop . 
Some associated R codes: RcppExports.R . dataFunctions.R . gfpop.R . graph.R . paperGraphs.R . plot.R . print.R . summary.R .  Full gfpop package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA