Assist novice developers when preparing a single package or a set of integrated packages to submit to CRAN. Automate the following individual or batch processing: check local source packages;  build local .tar.gz source files; install packages from local .tar.gz files; detect conflicts between function names in the environment.

Assist novice developers when preparing a single package or a set of integrated packages to submit to CRAN. Provide additional resources to facilitate the automation of the following individual or batch processing: check local source packages;  build local .tar.gz source files; install packages from local .tar.gz files; detect conflicts between function names in the environment. The additional resources include determining the identity and ordering of the packages to process when updating an imported package.

The noweb system for source code, implemented in R.

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, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.

Nonparametric methods for analysis of covariance (ANCOVA) are
    distribution-free and provide a flexible statistical framework for
    situations where the assumptions of parametric ANCOVA are violated
    or when the response variable is ordinal. This package implements
    several well-known nonparametric ANCOVA procedures, including Quade,
    Puri and Sen, McSweeney and Porter, Burnett and Barr, Hettmansperger
    and McKean, Shirley, and Puri-Sen-Harwell-Serlin. The package provides
    user-friendly functions to apply these methods in practice.
	These methods are described in Olejnik et al. (1985) 
	<doi:10.1177/0193841X8500900104> and Harwell et al. (1988) 
	<doi:10.1037/0033-2909.104.2.268>.