devcao.github.io/result at master · devcao/devcao.github.io · GitHub

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> l0_1000 = loco.power.curve(n = 100, p = 1000, s = 10, rho = 0,
+                             iter=500, B=500,
+                             whichCov = 1, betaNULL = 0, size_only = TRUE)
Round:  1 Now runing for:  0 power is:  lm:  0.428 0.116 0.06 0.014
> l5_1000 = loco.power.curve(n = 100, p = 1000, s = 10, rho = 0.5,
+                            iter=500, B=500,
+                            whichCov = 1, betaNULL = 0, size_only = TRUE)
Round:  1 Now runing for:  0 power is:  lm:  0.246 0.104 0.062 0.016
> l9_1000 = loco.power.curve(n = 100, p = 1000, s = 10, rho = 0.9,
+                            iter=500, B=500,
+                            whichCov = 1, betaNULL = 0, size_only = TRUE)
Round:  1 Now runing for:  0 power is:  lm:  0.242 0.144 0.08 0.032
> lw_1000 = loco.power.curve(n = 100, p = 1000, s = 10, rho = "equl",
+                            iter=500, B=500,
+                            whichCov = 1, betaNULL = 0, size_only = TRUE)
Round:  1 Now runing for:  0 power is:  lm:  0.314 0.078 0.038 0.014
> le_1000 = loco.power.curve(n = 100, p = 1000, s = 10, rho = "weak_equl",
+                            iter=500, B=500,
+                            whichCov = 1, betaNULL = 0, size_only = TRUE)
Round:  1 Now runing for:  0 power is:  lm:  0.274 0.106 0.048 0.006
> l0_1000 = loco.power.curve(n = 100, p = 1000, s = 10, rho = 0,
+                             iter=500, B=500,
+                             whichCov = 1, betaNULL = 0, size_only = TRUE)
Round:  1 Now runing for:  0 power is:  lm:  0.462 0.09 0.056 0.004
>