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Coerce a SimInf_abc object to a data.frame

Source: R/abc.R
as.data.frame.SimInf_abc.Rd

Convert the results of an Approximate Bayesian Computation (ABC) analysis into a single data.frame. This function extracts the particle parameters, their acceptance weights, and the generation number for every particle across all generations.

Usage

# S3 method for class 'SimInf_abc'
as.data.frame(x, ...)

Arguments

x

A SimInf_abc object.

...

Additional arguments (currently ignored).

Value

A data.frame containing all particles from all generations.

Details

The resulting data.frame has one row per particle. The columns include:

  • generation: The generation number (integer).

  • weight: The normalized weight of the particle (numeric).

  • Parameter columns: One column for each parameter estimated in the ABC analysis (e.g., beta, gamma, sigma). The column names match the parameter names defined in the priors.

See also

abc for running the ABC analysis, SimInf_abc for the class definition, and continue_abc for continuing an existing ABC run.