Estimates selection differentials and linear, quadratic and correlational selection gradients on relative fitness following Lande and Arnold (1983) doi:10.1111/j.1558-5646.1983.tb00236.x , with p-values from the logistic model for survival and from a Poisson or negative binomial model for counts. Fits cubic spline fitness functions as in Schluter (1988) doi:10.1111/j.1558-5646.1988.tb02507.x and two-trait fitness surfaces drawn only where there are data, and computes adaptive landscapes of mean fitness against the population mean for one or two traits, by period and for several groups on one surface. Includes bootstrap intervals, a combined results table and a Shiny app.
Data
Each dataset has its own help page, with its source: bumpus,
crescent_pond_pupfish and little_lake_pupfish,
finch_yearly and finch_community. The pupfish
and finch data are also in inst/extdata as CSV files.
Author
Maintainer: James T. Stroud stroud@gatech.edu (affiliation: School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States)
Authors:
James T. Stroud stroud@gatech.edu (affiliation: School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States)
Vanessa Zhou (affiliation: College of Computing, Georgia Institute of Technology, Atlanta, GA, United States)
Ali Sean Khan (affiliation: College of Computing, Georgia Institute of Technology, Atlanta, GA, United States)
Calvin Yu (affiliation: College of Computing, Georgia Institute of Technology, Atlanta, GA, United States)
Taylor Papke (affiliation: College of Computing, Georgia Institute of Technology, Atlanta, GA, United States)
Dima Al Nabhani (affiliation: College of Computing, Georgia Institute of Technology, Atlanta, GA, United States)
Guillermo Garcia-Costoya (affiliation: School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States)