Plot multiple fits on one graph with model selection results displayed

Plot multiple fits of decomposition trajectories on one graph with model selection results displayed

Usage

plot_multiple_fits(time,mass.remaining,model,color,iters,bty,...)

Arguments

time: vector of time points
mass.remaining: vector of mass remaining
model: vector of models to fit and plot (see fit_litter)
color: a vector of colors the same length as the number of models
iters: parameter passed to fit_litter
bty: bty
...: additional parameters passed to plot

Value

plot of multiple fits, returns invisibly

Details

this function is designed to compare a variety of curve shapes visually and with AIC and BIC simultaneously

Author

Liu Guofang

Examples

data(pineneedles, package = "litterfitter")

plot_multiple_fits(
  time = pineneedles$Year,
  mass.remaining = pineneedles$Mass.remaining,
  bty = "n", model = c("neg.exp", "weibull"),
  xlab = "Time", ylab = "Proportion mass remaining", iters = 200
)
#> Number of successful fits:  193  out of 200 
#> Number of successful fits:  200  out of 200 
#> Warning: May not have found global best fit; increase iterations