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譬覲 y螳 覿/覿覈 襾豪.
data("FoodExpenditure", package = "betareg") fe_beta <- betareg(I(food/income) ~ income + persons, data = FoodExpenditure) summary(fe_beta) 蟆郁骸
> summary(fe_beta) Call: betareg(formula = I(food/income) ~ income + persons, data = FoodExpenditure) Standardized weighted residuals 2: Min 1Q Median 3Q Max -2.7818 -0.4445 0.2024 0.6852 1.8755 Coefficients (mean model with logit link): Estimate Std. Error z value Pr(>|z|) (Intercept) -0.622548 0.223854 -2.781 0.005418 ** income -0.012299 0.003036 -4.052 5.09e-05 *** persons 0.118462 0.035341 3.352 0.000802 *** Phi coefficients (precision model with identity link): Estimate Std. Error z value Pr(>|z|) (phi) 35.61 8.08 4.407 1.05e-05 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Type of estimator: ML (maximum likelihood) Log-likelihood: 45.33 on 4 Df Pseudo R-squared: 0.3878 Number of iterations: 28 (BFGS) + 4 (Fisher scoring) data("GasolineYield", package = "betareg") gy <- betareg(yield ~ batch + temp, data = GasolineYield) summary(gy)
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襷 螳 瑚 企 ()讌 覈詩. 蠏瑚 ろ 蟆 覃 襴糾 . ( 讌) |