Nothing

```
## MRRln2p.r file
##
## A quick fit method using defaults, with options to provide confidence interval bounds
## and/or a graphical display.
MRRln2p<-function(x, s=NULL, bounds=FALSE, show=FALSE) {
# permit one to forget that second argument was reserved for a suspensions vector
if(is.logical(s)) {
show<-bounds
bounds<-s
s<-NULL
}
obj<-wblr.fit(wblr(x,s), dist="lognormal2p", col="red2")
fit<-obj$fit[[1]]$fit_vec
attributes(fit)$data_types<-NULL
## bounds are not prepared for 3p fits, so the bounds argument is simply ignored.
if(bounds==TRUE) {
obj<-wblr.conf(obj, dq="minitab", col="pink2")
bnds<-obj$fit[[1]]$conf[[1]]$bounds
ret<-list(fit,bnds)
stitle<-"MRR fit with 90% double-sided pivotal bounds"
}else{
ret<-fit
stitle<-"Lognormal MRR fit"
}
if(show==TRUE) {
plot(obj, canvas="lognormal", in.legend.blives=FALSE, sub=stitle)
}
ret
}
```

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