Nothing
fishnet=function(x,is.sparse,y,weights,offset,alpha,nobs,nvars,jd,vp,cl,ne,nx,nlam,flmin,ulam,thresh,isd,intr,vnames,maxit,pb){
if(any(y<0))stop("negative responses encountered; not permitted for Poisson family")
maxit=as.integer(maxit)
weights=as.double(weights)
storage.mode(y)="double"
if(is.null(offset)){
offset=y*0 #keeps the shape of y
is.offset=FALSE}
else{
storage.mode(offset)="double"
is.offset=TRUE
}
fit=if(is.sparse) spfishnet_exp(
parm=alpha,x,y,offset,weights,jd,vp,cl,ne,nx,nlam,flmin,ulam,thresh,isd,intr,maxit,pb,
lmu=integer(1),
a0=double(nlam),
ca=matrix(0.0, nx, nlam),
ia=integer(nx),
nin=integer(nlam),
nulldev=double(1),
dev=double(nlam),
alm=double(nlam),
nlp=integer(1),
jerr=integer(1)
)
else fishnet_exp(
parm=alpha,x,y,offset,weights,jd,vp,cl,ne,nx,nlam,flmin,ulam,thresh,isd,intr,maxit,pb,
lmu=integer(1),
a0=double(nlam),
ca=matrix(0.0,nx,nlam),
ia=integer(nx),
nin=integer(nlam),
nulldev=double(1),
dev=double(nlam),
alm=double(nlam),
nlp=integer(1),
jerr=integer(1)
)
if(fit$jerr!=0){
errmsg=jerr(fit$jerr,maxit,pmax=nx,family="poisson")
if(errmsg$fatal)stop(errmsg$msg,call.=FALSE)
else warning(errmsg$msg,call.=FALSE)
}
outlist=getcoef(fit,nvars,nx,vnames)
dev=fit$dev[seq(fit$lmu)]
outlist=c(outlist,list(dev.ratio=dev,nulldev=fit$nulldev,npasses=fit$nlp,jerr=fit$jerr,offset=is.offset))
class(outlist)="fishnet"
outlist
}
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