glance: Take a glance at a model

In nlstimedist: Non-Linear Model Fitting of Time Distribution of Biological Phenomena

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

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)

nlstimedist documentation built on Aug. 27, 2020, 9:07 a.m.