search for: npregbw

Dear R-users, I am fitting a kernel regression model of the form y ~ x1 + factor(x2) + factor(x3) and am using the function npregbw in the np-package to find the optimal bandwidths. My dataset is relatively large and the optimization takes quite long. When testing different specifications I have noticed that the optimal bw for x3 is always very close to zero (around 10^-12 or so). I am wondering whether it is possible to har...

...x2, and a continuous outcome variable y. I am conducting a nonparametric regression of y on x1 and x2. The one somewhat unusual feature of these data is that, to be included in the dataset, x1 must be at least as large as x2. The basics of the analysis are to calculate the correct bandwidth using npregbw, use npreg to estimate the nonparametric regression (with the previously calculated bandwidth as an input), and plot the results using plot (which calls npplot). A simple simulated example is given below. Two things are happening in the analysis that I do not understand: First, although all the d...

...that lie outside the support of the training data may no longer be true probabilities (i.e., as defined over the training data and the extended/augmented support -- their sum may exceed one) and may therefore require renormalization by the user * Fixed a numerical issue which could hinder npregbw()'s cross validation with higher-order kernels * Default nmulti in npplregbw() is now set correctly * Fixed a bug with the ridging routine in npscoefbw(), added ridging to npscoef * Fixed trivial i/o issue with "Multistart 1 of" using npscoefbw() Changes from Version 0.20-4 to...

...that lie outside the support of the training data may no longer be true probabilities (i.e., as defined over the training data and the extended/augmented support -- their sum may exceed one) and may therefore require renormalization by the user * Fixed a numerical issue which could hinder npregbw()'s cross validation with higher-order kernels * Default nmulti in npplregbw() is now set correctly * Fixed a bug with the ridging routine in npscoefbw(), added ridging to npscoef * Fixed trivial i/o issue with "Multistart 1 of" using npscoefbw() Changes from Version 0.20-4 to...