Step3_Hierarchical_Model: Step 3: Analyze data using a hierarchical model

In esander91/PredictImportance: Generate Networks, Simulate Abundance Data, and Analyze Importance Correlates

Description

Takes data file created in Step 2 and analyzes the data using a hierarchical model

Usage

Step3_Hierarchical_Model(datafname, PathToResults = "Results",
  empirical = TRUE)

Arguments

datafname	path to file generated in Step 2 (file name will end in '-AllData.csv')
PathToResults	path to location where results should be stored.
empirical	flags if the simulated data are based on an empirical network structure. This will affect the hierarchical model structure

Value

This function does not return an object, but it writes hierarchical model output to text files, and saves the entire lmer object to a .RData file

esander91/PredictImportance documentation built on May 16, 2019, 8:51 a.m.