summary.slouch: Model Summary

In kopperud/slouch: Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses

Model Summary

Description

Model Summary

Usage

## S3 method for class 'slouch'
summary(object, ...)

Arguments

object	An object of class 'slouch'
...	Additional arguments, unused.

Examples

data(artiodactyla)
data(neocortex)

neocortex <- neocortex[match(artiodactyla$tip.label, neocortex$species), ]

m0 <- slouch.fit(phy = artiodactyla,
                 hl_values = seq(0.001, 4, length.out = 10),
                 vy_values = seq(0.001, 0.05, length.out = 10),
                 species = neocortex$species,
                 response = neocortex$neocortex_area_mm2_log_mean,
                 mv.response = neocortex$neocortex_se_squared,
                 random.cov = neocortex$brain_mass_g_log_mean,
                 mv.random.cov = neocortex$brain_se_squared,
                 fixed.fact = neocortex$diet,
                 hillclimb = FALSE)
                 
summary(m0) 

plot(m0, theta = 150)

kopperud/slouch documentation built on Feb. 17, 2024, 10:31 a.m.