search for: npplot

...o 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 data have x1>=x2, plot returns a plot with estimates for all values of (x1,x2), including where x1<x2 and therefore there are no data. I have tried using t...

...ecification tests for testing correctness of parametric regression models - nonparametric significance tests for nonparametric regression - semiparametric multivariate regression methods (partially linear, index models, average derivative estimation, varying/smooth coefficient models) A function npplot() is implemented that allows users to visualize the resulting objects. A variety of methods for computing standard errors and error bounds are implemented including asymptotic and resampling-based methods (the latter employing the `boot' package which is required). A range of examples can be...

...ecification tests for testing correctness of parametric regression models - nonparametric significance tests for nonparametric regression - semiparametric multivariate regression methods (partially linear, index models, average derivative estimation, varying/smooth coefficient models) A function npplot() is implemented that allows users to visualize the resulting objects. A variety of methods for computing standard errors and error bounds are implemented including asymptotic and resampling-based methods (the latter employing the `boot' package which is required). A range of examples can be...

...interface brought in line with other functions. * significance tests can now be performed on npreg outputs. * added a vignette and faq. * summary on npconmode now properly retrieves names from bandwidth objects. * fixed the 6th and 8th order epanechnikov kernels. * fixed some quietness issues. * npplot now returns data upon request for conditional densities. * npreg and npcdens now take the appropriate limits in some pathological cases. We are grateful to John Fox, Achim Zeilies, Roger Koenker, and numerous users for their valuable feedback which resulted in an improved version of the package...

...interface brought in line with other functions. * significance tests can now be performed on npreg outputs. * added a vignette and faq. * summary on npconmode now properly retrieves names from bandwidth objects. * fixed the 6th and 8th order epanechnikov kernels. * fixed some quietness issues. * npplot now returns data upon request for conditional densities. * npreg and npcdens now take the appropriate limits in some pathological cases. We are grateful to John Fox, Achim Zeilies, Roger Koenker, and numerous users for their valuable feedback which resulted in an improved version of the package...

...tandard errors are now available in the case of no continuous variables * summary should look prettier, print additional information * tidied up lingering issues with out-of-sample data and conditional modes * fixed error when plotting asymptotic errors with conditional densities * fixed a bug in npplot with partially linear regressions and plot.behavior='data' or 'plot-data' * maximum default number of multistarts is now set to 5 * least-squares cross-validation of conditional densities uses a new, faster algorithm * new, faster algorithm for least-squares cross-validation for b...

...tandard errors are now available in the case of no continuous variables * summary should look prettier, print additional information * tidied up lingering issues with out-of-sample data and conditional modes * fixed error when plotting asymptotic errors with conditional densities * fixed a bug in npplot with partially linear regressions and plot.behavior='data' or 'plot-data' * maximum default number of multistarts is now set to 5 * least-squares cross-validation of conditional densities uses a new, faster algorithm * new, faster algorithm for least-squares cross-validation for b...