plotSMC: Plot the progression of the SMC algorithm.

In thijsjanzen/STEPCAM: ABC-SMC Inference of STEPCAM

Description

This function plots the progression over the several iterations of the ABC-SMC algorithm. It can be used to explore results obtained with the STEPCAM-ABC function.

Usage

plotSMC(path)

Arguments

path	Working Directory

Author(s)

Thijs Janzen

Examples

## Not run: 
Artificial.Data <- generate.Artificial.Data(n_species = 40, n_traits = 3,
                        n_communities = 5, occurence_distribution = 0.2,
                        average_richness = 0.5, sd_richness = 0.2,
                        mechanism_random=FALSE)
O <- STEPCAM_ABC(Artificial.Data$abundances, Artificial.Data$traits,
                 numParticles = 10, n_traits = 3, plot_number = 1, stopRate = 0.8)
currentDir <- getwd();
plotSMC(paste(currentDir,"/",sep=""));

## End(Not run)

thijsjanzen/STEPCAM documentation built on Dec. 19, 2020, 11:56 p.m.