Other packages > Find by keyword >

PST  

Probabilistic Suffix Trees and Variable Length Markov Chains
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PST", "0.94.1")



Attach the package and use:
library("PST")
Maintained by
Alexis Gabadinho
[Scholar Profile | Author Map]
First Published: 2012-12-10
Latest Update: 2023-12-14
Description:
Provides a framework for analysing state sequences with probabilistic suffix trees (PST), the construction that stores variable length Markov chains (VLMC). Besides functions for learning and optimizing VLMC models, the PST library includes many additional tools to analyse sequence data with these models: visualization tools, functions for sequence prediction and artificial sequences generation, as well as for context and pattern mining. The package is specifically adapted to the field of social sciences by allowing to learn VLMC models from sets of individual sequences possibly containing missing values, and by accounting for case weights. The library also allows to compute probabilistic divergence between two models, and to fit segmented VLMC, where sub-models fitted to distinct strata of the learning sample are stored in a single PST. This software results from research work executed within the framework of the Swiss National Centre of Competence in Research LIVES, which is financed by the Swiss National Science Foundation. The authors are grateful to the Swiss National Science Foundation for its financial support.
How to cite:
Alexis Gabadinho (2012). PST: Probabilistic Suffix Trees and Variable Length Markov Chains. R package version 0.94.1, https://cran.r-project.org/web/packages/PST. Accessed 06 May. 2025.
Previous versions and publish date:
0.81 (2012-12-10 10:48), 0.84.1 (2013-12-20 08:56), 0.84 (2013-10-25 17:49), 0.86 (2015-02-18 17:36), 0.88 (2016-05-26 22:05), 0.90 (2016-08-10 02:40), 0.92 (2016-11-10 17:55), 0.94 (2017-02-03 00:26)
Other packages that cited PST R package
View PST citation profile
Other R packages that PST depends, imports, suggests or enhances
Complete documentation for PST
Downloads during the last 30 days
04/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0205/0305/0405/05Downloads for PST05101520253035TrendBars

Today's Hot Picks in Authors and Packages

HuraultMisc  
Guillem Hurault Functions' Library
Contains various functions for data analysis, notably helpers and diagnostics for Bayesian modelling ...
Download / Learn more Package Citations See dependency  
tbrf  
Time-Based Rolling Functions
Provides rolling statistical functions based on date and time windows instead of n-lagged observatio ...
Download / Learn more Package Citations See dependency  
rotations  
Working with Rotation Data
Tools for working with rotational data, including simulation from the most commonly used distributi ...
Download / Learn more Package Citations See dependency  
netUtils  
A Collection of Tools for Network Analysis
Provides a collection of network analytic (convenience) functions which are missing in other standar ...
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  
tashu  
Analysis and Prediction of Bicycle Rental Amount
Provides functions for analyzing citizens' bicycle usage pattern and predicting rental amount on spe ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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