get_S_from_matrix: Calculate Estimate of Social Different according to Whitehead...

In urskalbitzer/daginR: Analyses of Monkey Data from Scan and Focal Samples

Description

This function uses a max. likelhood to separate the variance of true association indices and the sampling variance. It's described in "Precision and power in the analysis of social structure using associations" (Whitehead, 2008, Animal Behaviour) and "Whitehead, H. 2008. Analyzing Animal Societies: Quantitative Methods for Vertebrate Social Analysis. Chicago: University of Chicago Press."

Usage

get_S_from_matrix(
  i_j_sum,
  i_j_together,
  initial.values = c(0.5, 0.5),
  lower = c(0.01, 0.01),
  upper = c(1, 10)
)

Arguments

i_j_sum	Matrix with values i_j_sum[ij] used as denominator of the estimated association index (d in the Whitehead paper)
i_j_together	Matrix with values i_j_together[ij] number of observations of individuals i and j together (x in the Whitehead paper)
initial.values	Initial values for the parameters to be optimized over ('par' argument in 'optim“)
lower	lower bounds for parameters
upper	upper bounds for parameters

urskalbitzer/daginR documentation built on Jan. 21, 2020, 1:26 a.m.