Fits Predator Preferences Model


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Documentation for package ‘spiders’ version 1.2

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spiders-package Fits predator preferences model.
calcHypotheses calculate hypotheses
checkHypotheses function to check user specified hypotheses
converged checks convergence of the parameters for the estimation functions
est1 estimate hypothesis c_st = 1
estC estimate hypothesis c_st = c
estCs estimate hypothesis c_st = c_s
estCst estimate hypothesis c_st
estCt estimate hypothesis c_st = c_t
estGen estimate a reparameterization of the hypothesis c_st
getTimeCounts sum specified columns by time
ll observed count log-likelihood of predator preferances model
llEM non-observed count log-likelihood of predators preferances
predPref parameter estimation
print.summary.predPref predPref summary print
simPref simulate data
spiders Fits predator preferences model.
summary.predPref predPref summary
sumSp sum over species to get a vector of values for each time period
sumT sum over times to get a vector of values for each species
testC linear contrast of c_st