best.E.f: Find the best E variable and model to describe another...
In duplisea/bestE: Find the best explanatory variable for a response variable and the best shape constrainted model to describe the relationship
Description
Fits multiple scam models of response~s(explanatory), choose the best scam for each explanatory variable and then
produces a list of scam objects as well as a vector of deviance explained by each variable. One would likely want an E
variables that explains more of the variance but you also need to consider the amount of data and the shape of the model
fitted.
Presently, the function will fail on the inability to fit a scam model. It needs to be error proofed using tryCatch.
Usage
1
best.E.f(x.matrix, y)
Arguments
x.matrix
a matrix of explanatory (E) variables
y
the response variable
duplisea/bestE documentation built on Sept. 24, 2020, 12:45 a.m.
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Description
Fits multiple scam models of response~s(explanatory), choose the best scam for each explanatory variable and then produces a list of scam objects as well as a vector of deviance explained by each variable. One would likely want an E variables that explains more of the variance but you also need to consider the amount of data and the shape of the model fitted.
Presently, the function will fail on the inability to fit a scam model. It needs to be error proofed using tryCatch.
Usage
1 | best.E.f(x.matrix, y)
|
Arguments
x.matrix |
a matrix of explanatory (E) variables |
y |
the response variable |
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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