tidy_marssMLE: Return estimated parameters with summary information

In MARSS: Multivariate Autoregressive State-Space Modeling

Return estimated parameters with summary information

Description

tidy.marssMLE is the method for the tidy generic. It returns the parameter estimates and their confidence intervals.

Usage

## S3 method for class 'marssMLE'
tidy(x, conf.int = TRUE, conf.level = 0.95, ...)

Arguments

x	a marssMLE object
conf.int	Whether to compute confidence and prediction intervals on the estimates.
conf.level	Confidence level. alpha=1-conf.level
...	Optional arguments. If conf.int=TRUE, then arguments to specify how CIs are computed can be passed in. See details and MARSSparamCIs.

Details

tidy.marssMLE() assembles information available via the print() and coef() functions into a data frame that summarizes the estimates. If conf.int=TRUE, MARSSparamCIs() will be run to add confidence intervals to the model object if these are not already added. The default CIs are calculated using a analytically computed Hessian matrix. This can be changed by passing in optional arguments for MARSSparamCIs().

Value

A data frame with estimates, sample standard errors, and confidence intervals.

Examples

dat <- t(harborSeal)
dat <- dat[c(2, 11, 12), ]
fit <- MARSS(dat)

# A data frame of the estimated parameters
tidy(fit)

MARSS documentation built on May 31, 2023, 9:28 p.m.