Package Info

GPEDM-package GPEDM

Gaussian Process regression for Empirical Dynamic Modeling

Functions

fitGP()

Fit a GP model

fitGP_fish()

Fit a "fisheries" GP model

getR2()

Calculate R-squared

getR2pop()

Calculate R-squared by population (and other stuff)

getconditionals()

Get conditional responses from a GP model

getrhomatrix()

Get pairwise dynamic correlation matrix

makelags()

Generate delay vectors

makelags_iter()

Make lag matrix for iterated prediction

msy_wrapper()

Wrapper for computing MSY from a "fisheries model"

plot(<GPpred>)

Plot predictions from a GP model

posdef()

Find nearest positive definite matrix

predict(<GP>)

Get predictions from a GP model

predict_iter()

Get interated predictions from a GP model (or MSY from a "fisheries model")

predict_seq()

Get sequentially updated predictions from a GP model

summary(<GP>)

Print a summary of a GP model

Datasets

HastPow3sp

Simulated time series from 3 species Hastings-Powell model

RickerHarvest

Simulated time series from a ricker model with fishing

shrimp

Brown shrimp in the Gulf of Mexico

thetalog2pop

Simulated time series from 2 theta-logistic populations

trawl

NEFSC Fall Bottom Trawl Data (subset)