updateTrend: Recalculate posterior predictive trend with a different time...

In dsjohnson/agTrend.gam: Estimate Linear Trends for Aggregated Abundance Data

Description

Given a fitted model object (fit with 'keep.site.abund=TRUE') the function recalculates the posterior sample for an alternate time scale than was originally specified in the model fitting MCMC sample.

Usage

updateTrend(x, start, end, type = "pred", order = "lin")

Arguments

x	An mcmc augmentation object produced by a call to mcmc.aggregate or an element of the list produced by a call to newAggregation.
start	A new start value for the time span
end	A new end value for the time span
type	The type of trend calculated. Use "pred" for posterior predictive trends and "real" to use the estimated, realized abumndance aggregation.
order	The order of trend calculated. Can be one of "lin", for linear trends, or, "const", for mean log-abundence.

dsjohnson/agTrend.gam documentation built on May 6, 2019, 1:35 a.m.