User Jracine Jeffrey S. Racine
2009-Jan-29 23:05 UTC
[R] [R-pkgs] np 0.30-1 (nonparametric kernel smoothing methods for mixed data types) is available on CRAN...
Dear R users, Version 0.30-1 of the np package has been released and uploaded to CRAN. The np package provides nonparametric kernel smoothing methods for mixed data types. We encourage anyone using the package to upgrade to the latest version. Description: This package provides a variety of nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC:www.nserc.ca), the Social Sciences and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared Hierarchical Academic Research Computing Network (SHARCNET:www.sharcnet.ca). License: GPL Note that version 0.30-0 and 0.30-1 provide some much needed functionality and bug fixes to the package. Changes from Version 0.30-0 to 0.30-1 [29-Jan-2009] * predict now supports bandwidth, density, distribution, conbandwidth, condensity, and condistribution objects * Consistently allow predictions for categorical values outside of support of training data Note that predictions based upon unconditional density objects defined over categorical variables 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 0.30-0 [15-Jan-2009] * Added basic user-interrupt checking for all underlying C code so that either <Ctrl-C> (Rterm) or the `STOP' icon (Rgui) will interrupt all running processes. This has a number of desirable side effects in addition to being able to interrupt C-based processes including i) R no longer showing up as `not responding' under the task manager (Windows) or the activity monitor (Mac OS X) and ii) buffered output now being correctly displayed when using Rgui under Windows and Mac OS X Note that repeated interruption of large jobs can reduce available memory under R - if this becomes an issue (i.e., you get a `cannot allocate...' error under R) simply restart R (i.e., exit then run a fresh R session) * Added a function npseed() that allows the user to set/reset the random seed for all underlying C routines * Fixed a bug that caused npplregbw() to ignore any kernel options for the regression of y on z * Refined certain constants used in the normal-reference density bandwidth rule for increased accuracy * Moved from using the maximum likelihood estimate of variance throughout to the degrees of freedom corrected estimate (all variance estimates now change by the factor (n-1)/n) Feedback, comments, bug reports, and suggestions for improvement are always welcome. Best regards, Jeff Racine & Tristen Hayfield -- Professor J. S. Racine Phone: (905) 525 9140 x 23825 Department of Economics FAX: (905) 521-8232 McMaster University e-mail: racinej at mcmaster.ca 1280 Main St. W.,Hamilton, URL: http://www.economics.mcmaster.ca/racine/ Ontario, Canada. L8S 4M4 `The generation of random numbers is too important to be left to chance.' _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages
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