best.model.f: Find the best shape constrained GAM for y~x
In duplisea/bestE: Find the best explanatory variable for a response variable and the best shape constrainted model to describe the relationship
Description
Usage
Arguments
Examples
Description
Uses the package scam to fit shape constrained gam models of y~ s(x). Gaussian link function. All the scam shape
are fitted and the best one is selected. If the smooth term is not significant you may not want to use the model.
It depends on your hypothesis and how you are using the model and residuals.
Usage
1
best.model.f(x, y, plot = F)
Arguments
x
the explanatory variable
y
the response variable
plot
if T then a plot of the best model (lowest AIC) fit is plotted with pertinent statistics in plot titles
Examples
1
best.model.f(USArrests$UrbanPop, USArrests$Rape, plot=T)
duplisea/bestE documentation built on Sept. 24, 2020, 12:45 a.m.
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Description Usage Arguments Examples
Description
Uses the package scam to fit shape constrained gam models of y~ s(x). Gaussian link function. All the scam shape are fitted and the best one is selected. If the smooth term is not significant you may not want to use the model. It depends on your hypothesis and how you are using the model and residuals.
Usage
1 | best.model.f(x, y, plot = F)
|
Arguments
x |
the explanatory variable |
y |
the response variable |
plot |
if T then a plot of the best model (lowest AIC) fit is plotted with pertinent statistics in plot titles |
Examples
1 | best.model.f(USArrests$UrbanPop, USArrests$Rape, plot=T)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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