Other packages > Find by keyword >

htna  

Heterogeneous Transition Network Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("htna", "0.3.1")



Attach the package and use:
library("htna")
Maintained by
Sonsoles López-Pernas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-06
Latest Update: 2026-07-06
Description:
Implements the Heterogeneous Transition Network Analysis (HTNA) method described by López-Pernas et al. (2026) <doi:10.1002/jcal.70285>. The method is an extension of transition network analysis (TNA) where actions or events belong to two or more distinct actor types (e.g. Human and AI),preserving the actor type partition on the resulting network. Provides a thin, focused API on top of the 'Nestimate' estimation engine and the 'cograph' rendering engine, so downstream bootstrap, permutation, reliability, centrality, and plotting functions treat each actor's codes as a distinct node group.
How to cite:
Sonsoles López-Pernas (2026). htna: Heterogeneous Transition Network Analysis. R package version 0.3.1, https://cran.r-project.org/web/packages/htna. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-28 22:00), 0.1.0 (2026-07-06 16:00)
Other packages that cited htna R package
View htna citation profile
Other R packages that htna depends, imports, suggests or enhances
Complete documentation for htna
Functions, R codes and Examples using the htna R package
Full htna package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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