markovchain: R Package for Discrete Time Markov Chain Analysis

markovchain is an R package authored by Giorgio Alfredo Spedicato, providing S4 methods and functions for creating and managing discrete time Markov chains. The package includes tools for statistical fitting, drawing random variates, and analyzing structural properties of Markov chains. Some functions also support continuous time Markov chains through the suggested ctmcd package.

Use Cases

• Fitting discrete time Markov chain models based on provided statistical functions.
• Drawing random variates from a defined Markov chain for simulation studies.
• Analyzing the structural properties of Markov chains for probabilistic research.
• Managing and creating Markov chain objects using the S4 class system for organized analysis.

Strengths

• Provides S4 methods for structured object-oriented handling of Markov chains.
• Includes functions for both statistical fitting and probabilistic analysis as described.
• References a peer-reviewed publication (Spedicato, 2017) for methodological details.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Giorgio Alfredo Spedicato

Collection Method

Software package development for statistical analysis.