pred_nl_par: Nonlinear

In jschap1/WSEw: River Geometry Package for Studying Water Surface Elevation-Width Relationships

Description

Applies fit_nonlinear in parallel across multiple processors on one machine

Usage

pred_nl_par(r, rWSEw, exclude = FALSE)

Arguments

r	cross section number
rWSEw	true height and width observations data frame (probably can remove this somehow)
exclude	boolean that determines whether or not to exclude predictions from physically unrealistic model fits

Details

Loads fitted model (linear, slope break, multiple slope break, nonlinear, or nonlinear slope break) and uses it to predict hydraulic parameters error.flag values: 0 = no error, 1 = negative slope, 2 = negative concavity, 3 = no model was fit There is a problem when s is negative because the predictions at w = 0 are -Inf When there is negative concavity, the linear model is used to make predictions, instead of the nonlinear model

Value

list of z0, A, W0, and A0 predictions

jschap1/WSEw documentation built on May 12, 2019, 10:50 a.m.