【发布时间】:2017-06-13 17:49:45
【问题描述】:
如何提取 gls 目标的 delta(幂函数)和 sigma 的 SE?如果我做总结,我有这个输出:
> summary(l3s)
Generalized least squares fit by REML
Model: biom.kg ~ I(dbh^2 * h)
Data: ssf
AIC BIC logLik
4495.75 4512.982 -2243.875
Variance function:
Structure: Power of variance covariate
Formula: ~I(dbh^2 * h)
Parameter estimates:
power
0.9383058
Coefficients:
Value Std.Error t-value p-value
(Intercept) -0.7649061 0.19920153 -3.83986 1e-04
I(dbh^2 * h) 0.0312859 0.00066244 47.22858 0e+00
Correlation:
(Intr)
I(dbh^2 * h) -0.541
Standardized residuals:
Min Q1 Med Q3 Max
-1.98250304 -0.82199784 -0.07727941 0.69239313 3.05748659
Residual standard error: 0.02026094
Degrees of freedom: 551 total; 549 residual
谢谢。
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