summary.lmFAB {FABInference} | R Documentation |
Summarizing Linear Model Fits with FAB Inference
Description
summary
method for class lmFAB
Usage
## S3 method for class 'lmFAB'
summary(object, correlation = FALSE,
symbolic.cor = FALSE, ...)
Arguments
object |
an object of class |
correlation |
see |
symbolic.cor |
see |
... |
see |
Details
A mod of summary.lm
that shows FAB p-values in table
Value
A list of summary statistics of the fitted linear model
Examples
# n observations, p FAB variables, q=2 control variables
n<-100 ; p<-25
# X is design matrix for params of interest
# beta is vector of true parameter values
# v a variable in the linking model - used to share info across betas
v<-rnorm(p) ; beta<-(2 - 2*v + rnorm(p))/3 ; X<-matrix(rnorm(n*p),n,p)/8
# control coefficients and variables
alpha1<-.5 ; alpha2<- -.5
w1<-rnorm(n)/8
w2<-rnorm(n)/8
# simulate data
lp<-1 + alpha1*w1 + alpha2*w2 + X%*%beta
y<-rnorm(n,lp)
# fit model
fit<-lmFAB(y~w1+w2,X,~v)
fit$FABpv
fit$FABci
summary(fit) # look at p-value column
[Package FABInference version 0.1 Index]