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gsg (version 2.0)
Calculation of selection coefficients
Description
gsg (gam selection gradients) provides a unified approach to the regression analysis of selection from longitudinal data collected from natural populations.
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Version
Version
2.0
1.0
Install
install.packages('gsg')
Monthly Downloads
30
Version
2.0
License
GPL-2
Maintainer
Michael Morrissey
Last Published
October 16th, 2014
Functions in gsg (2.0)
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humanNeonatal
Human male birth mass, gestation length, and neonatal survival
gsg-package
Calculation of selection coefficients
predict.gppr
Generalised projection pursuit regression
gppr.gradients
A function to calculate selection gradients from generalized additive model-based characterizions of fitness functions.
fitness.landscape
A function to estimate fitness landscapes, i.e. the relationship between popualtion mean fitness and population mean phenotype.
gam.gradients
A function to calculate selection gradients from generalized additive model-based characterizions of fitness functions.
SoayLambs
Soay sheep lamb phenotypic data and first year winter survival
moments.differentials
Calculates selection differentials directly from the differences in phenotypic moments before and after selection.
gppr
Generalised projection pursuit regression