SemiPar (1.0-4.2)

2 users

Semiparametic Regression.

Functions for semiparametric regression analysis, to complement the book: Ruppert, D., Wand, M.P. and Carroll, R.J. (2003). Semiparametric Regression. Cambridge University Press.

Maintainer: Billy Aung Myint
Author(s): Matt Wand <>

License: GPL (>= 2)

Uses: cluster, MASS, nlme, lattice
Reverse depends: AdaptFit, AdaptFitOS, RLRsim
Reverse suggests: cgam, expectreg, RLRsim
Reverse enhances: RLRsim

Released almost 2 years ago.

4 previous versions



  3.0/5 (3 votes)


  3.7/5 (3 votes)

Log in to vote.


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

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

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

Visit SemiPar on R Graphical Manual.