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clickb  

Web Data Analysis by Bayesian Mixture of Markov Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clickb", "0.1")



Attach the package and use:
library("clickb")
Maintained by
Furio Urso
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-13
Latest Update: 2023-02-13
Description:
Designed for web usage data analysis, it implements tools to process web sequences and identify web browsing profiles through sequential classification. Sequences' clusters are identified by using a model-based approach, specifically mixture of discrete time first-order Markov models for categorical web sequences. A Bayesian approach is used to estimate model parameters and identify sequences classification as proposed by Fruehwirth-Schnatter and Pamminger (2010) .
How to cite:
Furio Urso (2023). clickb: Web Data Analysis by Bayesian Mixture of Markov Models. R package version 0.1, https://cran.r-project.org/web/packages/clickb. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for clickb
Functions, R codes and Examples using the clickb R package
Some associated functions: clickb-package . fit_mixmar . sim_seq . 
Some associated R codes: Danon_sim_index.R . fit_mixmar.R . marloglik_contr.R . numtransitions.R . rdweibt.R . sim_seq.R . splitdatalist.R .  Full clickb package functions and examples
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