Package: clickb 0.1
Furio Urso
clickb: Web Data Analysis by Bayesian Mixture of Markov Models
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) <doi:10.1214/10-BA606>.
Authors:
clickb_0.1.tar.gz
clickb_0.1.tar.gz(r-4.5-noble)clickb_0.1.tar.gz(r-4.4-noble)
clickb_0.1.tgz(r-4.4-emscripten)clickb_0.1.tgz(r-4.3-emscripten)
clickb.pdf |clickb.html✨
clickb/json (API)
| # Install 'clickb' in R: |
| install.packages('clickb', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:827d5bbe2f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 31 2024 |
| R-4.5-linux | OK | Aug 31 2024 |
Exports:fit_mixmarsim_seq
Dependencies:codaDiscreteWeibulllatticeMASSMatrixMatrixModelsmclustmcmcMCMCpackquantregRsolnpSparseMsurvivaltruncnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Web Data Analysis by Bayesian Mixture of Markov Models | clickb-package Danon_sim_index marloglik.contr numtransitions rdweibt splitdatalist |
| Bayesian estimation for mixture of Markov models with fixed number of components | fit_mixmar |
| Simulate data | sim_seq |