f3st | R Documentation |
Stepwise selection of covariates
f3st(y,x,m,kmn=10,p0=0.01,kmx=0,mx=21,lm=100,kex=0,sub=T,inr=T,xinr=F,qq=0,kexmx=100)
y |
Dependent variable |
x |
Covariates |
m |
The number of iterations |
kexmx |
The maximum number of covariates in an approximation |
p0 |
The P-value cut-off |
kmn |
The minimum number of included covariates irrespective of cut-off P-value |
kmx |
The maximum number of included covariates irrespective of cut-off P-value. |
mx |
The maximum number covariates for an all subset search |
lm |
The maximum number of approximations. |
kex |
The excluded covariates |
sub |
Logical if TRUE best subset selected |
inr |
Logical if TRUE include intercept if not present |
xinr |
Logical if TRUE intercept already present |
qq |
The number of covariates to choose from. If qq=0 the number of covariates of x is used. |
covch The sum of squared residuals and the selected covariates ordered in increasing size of sum of squared residuals.
lai The number of rows of covch
data(leukemia) a<-f3st(leukemia[[1]],leukemia[[2]],m=2,kmn=5,sub=TRUE,kexmx=5)
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