krm (2018.8-17)

0 users

Kernel Based Regression Models.

http://cran.r-project.org/web/packages/krm

Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence.

Maintainer: Youyi Fong
Author(s): Youyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb]

License: GPL-2

Uses: kyotil, RUnit, MASS

Released 10 months ago.


4 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of krm yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for krm on google, google scholar, r-help, r-devel.

Visit krm on R Graphical Manual.