The np Package - NexTag Supports Open Source Initiatives

130 npscoefbw## End(Not run)npscoefbwSmooth Coefficient Kernel Regression Bandwidth SelectionDescriptionUsagenpscoefbw computes a bandwidth object for a smooth coefficient kernel regression estimateof a one (1) dimensional dependent variable on p + q-variate explanatory data, using the modelY i = W i ′ γ(Z i) + u i where W i′ = (1, X i ′ ) given training points (consisting of explanatory dataand dependent data), and a bandwidth specification, which can be a rbandwidth object, or abandwidth vector, bandwidth type and kernel type.npscoefbw(...)## S3 method for class 'formula':npscoefbw(formula, data, subset, na.action,...)## S3 method for class 'NULL':npscoefbw(xdat = stop("invoked without data 'xdat'"),ydat = stop("invoked without data 'ydat'"),zdat = NULL,bws,...)## Default S3 method:npscoefbw(xdat = stop("invoked without data 'xdat'"),ydat = stop("invoked without data 'ydat'"),zdat = NULL,bws,nmulti,cv.iterate,cv.num.iterations,backfit.iterate,backfit.maxiter,backfit.tol,bandwidth.compute = TRUE,bwmethod,bwscaling,bwtype,ckertype,ckerorder,optim.method,optim.maxattempts,optim.reltol,