R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(ACDm)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ACDm/qqplotAcd.Rd_%03d_medium.png", width=480, height=480)
> ### Name: qqplotAcd
> ### Title: Quantile-Quantile plot of the residuals
> ### Aliases: qqplotAcd
>
> ### ** Examples
>
> fitModelExp <- acdFit(adjDurData, dist = "exp")
ACD model estimation by (Quasi) Maximum Likelihood
Call:
acdFit(durations = adjDurData, dist = "exp")
Model:
ACD(1, 1)
Distribution:
exponential
N: 34767
Parameter estimate:
Coef SE PV robustSE
omega 0.0127 0.00132 0 0.00125
alpha1 0.0587 0.00277 0 0.00236
beta1 0.9295 0.00359 0 0.00306
The fixed/unfree mean distribution parameter:
lambda: 1
QML robust correlations:
omega alpha1 beta1
omega 1.000 0.442 -0.762
alpha1 0.442 1.000 -0.902
beta1 -0.762 -0.902 1.000
Goodness of fit:
value
LogLikelihood -33300.775975
AIC 66607.551949
BIC 66632.921221
MSE 1.798696
Convergence: 0
Number of log-likelihood function evaluations: 114
Estimation time: 0.6914 secs
Description: Estimated at 2016-07-04 14:06:30 by user ddbj
> qqplotAcd(fitModelExp)
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> dev.off()
null device
1
>
providing 
.