as_data_frame function

Coerce to data frame

All pomp model objects can be recast as data frames. The contents of the resulting data frame depend on the nature of the object. methods

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

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

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

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

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

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

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

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

## S3 method for class 'mif2List'
as.data.frame(x, ...)

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

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

Arguments

• x: any object.
• ...: additional arguments to be passed to or from methods.

Details

When object is a simple pomp object, as(object,"data.frame") or as.data.frame(object) results in a data frame with the times, observables, states (if known), and interpolated covariates (if any).

When object is a pfilterd_pomp object, coercion to a data frame results in a data frame with the same content as for a simple pomp , but with conditional log likelihood and effective sample size estimates included, as well as filtering means, prediction means, and prediction variances, if these have been computed.

When object is a probed_pomp object, coercion to a data frame results in a data frame with the values of the probes computed on the data and on simulations.

When object is a kalmand_pomp object, coercion to a data frame results in a data frame with prediction means, filter means and forecasts, in addition to the data.

When object is a bsmcd_pomp object, coercion to a data frame results in a data frame with samples from the prior and posterior distribution. The .id variable distinguishes them.

When object is a wpfilterd_pomp object, coercion to a data frame results in a data frame with the same content as for a simple pomp , but with conditional log likelihood and effective sample size estimates included.