tests/WL-savedvalues.R

In robustloggamma: Robust Estimation of the Generalized log Gamma Model

structure(list(mu = -0.263740414628986, sigma = 1.07684932904149, 
    lambda = 0.596203327142733, weights = c(0.488627073747141, 
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    0.999934206842854, 0.999942213850608, 0.999946472179958, 
    0.99995552824605, 0.999957356874489, 0.999999259042267, 0.999999793605652, 
    0.999999982110983, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
    1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.999530224702454, 0.998964020336584
    ), iterations = 56, error = NULL, QTau = structure(list(mu = -0.211010764807878, 
        sigma = 1.08230316111857, lambda = 0.758620689655172, 
        weights = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), iterations = NULL, 
        error = NULL), .Names = c("mu", "sigma", "lambda", "weights", 
    "iterations", "error")), WQTau = structure(list(mu = -0.240417950648599, 
        sigma = 1.09067240661331, lambda = 0.689655172413793, 
        weights = c(0.101796999639137, 0.17306364253224, 0.220585038120029, 
        0.258319580972874, 0.290321240447069, 0.318442296980771, 
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        0.504267498640089, 0.362133607159312), iterations = NULL, 
        error = NULL), .Names = c("mu", "sigma", "lambda", "weights", 
    "iterations", "error")), eta = 0.962271201356523, data = c(-4.93108222389868, 
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    -2.55004655159982, -2.35679304220162, -2.22253155460881, 
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    -0.511976948882101, -0.506125590630782, -0.487416305649058, 
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    1.68706770779562), method = "WL"), .Names = c("mu", "sigma", 
"lambda", "weights", "iterations", "error", "QTau", "WQTau", 
"eta", "data", "method"), class = "loggammarob")