nlstimedist (version 2.0.0)

glance: Take a glance at a model

Description

Construct a single row of model summary statistics.

Usage

glance(x)

Arguments

x

An object of class timedist.

Value

glance() returns a one row data.frame with the columns

sigma

the square root of the estimated residual variance

isConv

whether the fit successfully converged

finTol

the achieved convergence tolerance

logLik

the data's log-likelihood under the model

AIC

the Akaike Information Criterion

BIC

the Bayesian Information Criterion

deviance

deviance

df.residual

residual degrees of freedom

RSS

corrected residual sum of squares

nobs

the number of observations from the model fit

Examples

Run this code
# NOT RUN {
tdTilia <- tdData(tilia, x = "Day", y = "Trees")
model <- timedist(data = tdTilia, x = "Day", y = "propMax", r = 0.1, c = 0.5, t = 120)
glance(model)

# }

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