gof: Estimation of goodness of fit tests with model objects or...

In gowusu/vadose: The estimation of saturated hydraulic conductivity and soil water retention Curves in the vadose zone

Description

Estimation of goodness of fit tests with model objects or comparing two models

Usage

gof(object = NULL, c = NULL, r = NULL, P = NULL)

Arguments

object	Function return object
c	comparing model, optional
r	reference model
P	The number of parameters

Value

• r2: R-square [-]

• r2_adj: An adjusted R-square [-]

• d: Index of agreement[-]

• p_value: p value

• sse: Sum of square error

• sst: Sum of square total

• AIC: AIC

• BIC: BIC

• RMSE: Root Mean Square Error

• RMSE_adj: adjusted Root Mean Square Error

• NRMSE Normalised Root Mean Square Error

• NRMSE_adj: adjusted Normalised Root Mean Square Error

• E: Nash Sutcliffe Coefficient

• Cp: statistic (Mallows 1973)

• F1: F-statistic

• AAE: average absolute error

• ARE: average relative error

• MBE: Mean Bias error

• MPE: Mean Percentage error

Author(s)

George Owusu

References

Mallows, C. L. (1973). Some comments on Cp. Technometrics, 15, 661-675.

Examples

data=read.csv(system.file("ext","sys","soil2.csv",package="vadose"))
single<- subset(data, ID=="30B20_1")
mod=lass3 (data=single,p="sand",D="D",fr="Sand.")
fit=gof(mod)
r2=fit$r2
AIC=fit$AIC
print (fit)

data=read.csv(system.file("ext","sys","exampleBEST.csv",package="vadose"))
philip1<-philip(data=data,time="time",I="I")
sw1<-sw(data=data,time="time",I="I")
thisgof=gof(c=gof(sw1),r=gof(philip1))

gowusu/vadose documentation built on May 17, 2019, 7:59 a.m.