Asreml r g matrix

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If data is given, all names used in all formulae should appear in the data frame. A model with the intercept as the only fixed effect can be specified as ∼1 there must be at least one fixed effect specified. ) Arguments fixedĪ formula object specifying the fixed terms in the model, with the response on the left of a ∼ operator, and the terms, separated by + operators, on the right. Prune = list(), combine = list(), uid = list(), mef = list(), Knot.points = list(), pwr.points = list(), wald = list(), Vcm = vcm.lm(), vcc = matrix(NA), family = asr_gaussian(),Īsmv = NULL, mbf = list(), group = list(),Įquate.levels = character(0), start.values = FALSE, Na.action = na.method(), subset, weights, predict = predict.asreml(), G.param = list(), R.param = list(), data = sys.parent(), Usage asreml(fixed = y ~ 1, random = ~NULL, sparse = ~NULL, residual = ~NULL, Asreml estimates variance components under a general linear mixed model by residual maximum likelihood (REML).

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