ASReml-S reference manual - VSN International

7The asreml class and related methods7.1 IntroductionSee Chapter 3The full syntax for a call to asreml isasreml(fixed = y ∼ 1, random, sparse, rcov = ∼ units, G.param, R.param,predict = predict.asreml(), constraints = asreml.constraints(), data = sys.parent(), subset,family = asreml.gaussian(), weights = NULL, offset = NULL,na.method.Y = ”include”, na.method.X = ”fail”,keep.order = F, fixgammas = F, as.multivariate = NULL, model.frame = F, start.values = F,dump.model = F, model = F, control = asreml.control(...), ...)See Chapter 3 for a full description. Numerous additional arguments that control thebehaviour of asreml are available through asreml.control() detailed below.7.1.1 asreml.controlUsageasreml.control(knots = 50, nsppoints = 21, splinepoints = list(), predictpoints = list(),grid = T, splinescale = -1., spline.step = list(dev = 10000, pol = 10000), pwrpoints = list(),ginverse = list(), mbf = list(), group = list(), denDF = -1, ssType = 1, Cfixed = F,Csparse = NULL, trace = T, maxiter = 13, stepsize = 0.1, workspace = 4e+06,pworkspace = 4e+06)Optional argumentsknotsnsppointssplinepointsdefault number of knot points for a spline. The number of knot points usedis min(length(unique(x)), knots) for a spline term x.influences the number of points used when predicting splines and polynomials,default=21. The design matrix generated by the pol(x) and spl(x)functions is augmented to include extra rows used for prediction. For eachpoint p in x, a predict point is inserted at p + i if there is no data valuein the interval [p, p + 1.1i] where i = (max(x) − min(x))/(nsppoints − 1).nsppoints is ignored if predictpoints is set. This also affects the number oflevels identified by dev().a list with named components where each component is a vector of usersupplied knot points for a particular spline and the component name is theterm referenced in the spl() function.