observations_class: An S4 class to hold the observation information for a starve...

In lawlerem/staRVe: Spatio-Temporal Analysis of Research surVEy data

An S4 class to hold the observation information for a starve model.

Description

An S4 class to hold the observation information for a starve model.

Usage

## S4 method for signature 'observations'
dat(x)

## S4 replacement method for signature 'observations'
dat(x) <- value

## S4 method for signature 'observations'
data_predictions(x)

## S4 replacement method for signature 'observations'
data_predictions(x) <- value

## S4 method for signature 'observations'
parameters(x)

## S4 replacement method for signature 'observations,ANY'
parameters(x) <- value

Arguments

x	An object
value	A replacement value

Functions

• dat(observations): Get data, including response variables, time indices, locations, covariates, etc.

• dat(observations) <- value: Set data. Warning: if you want to add new rows you must give each additional row a value in the graph_idx column, or create a new object from scratch.

• data_predictions(observations): Get data_predictions, a long_stars object with the data (see dat) and associated random effect predictions.

• data_predictions(observations) <- value: Set data predictions

• parameters(observations): Get parameters as an observation_parameters object.

• parameters(x = observations) <- value: Set parameters using a new observation_parameters object. Not the recommended way to modify specific parameter values, instead see vignette("starve-tour").

Slots

data_predictions

A long_stars object for the data.

transient_graph

A dag object describing the dependence of the data on the process.

parameters

An object of class observation_parameters.

See Also

strv_prepare

Other starve_classes: TMB_out-class, dag-class, long_stars-class, observation_parameters-class, parameters-class, process-class, process_parameters-class, settings-class, starve-class, tracing-class

lawlerem/staRVe documentation built on Oct. 9, 2024, 4:48 a.m.