group_size_est: Estimate group size

In dill/readdst: Convert Distance for Windows projects to R analyses

Description

Distance for Windows includes a few different methods for accounting for group (or cluster) size (at the adundance/density estimation stage). These include using the mean group size for all observations or using a regression of size against distance or log size against distance.

Usage

group_size_est(data, group_size, model)

Arguments

data	the data for this analysis
group_size	the group_size element of an analysis object
model	a fitted model

Value

estimated cluster sizes (numeric vector of length nrow(data)), or NULL if there were no instructions on how to estimate group/cluster size

Author(s)

David L Miller

dill/readdst documentation built on Sept. 23, 2021, 1:50 a.m.