gWQSRS (1.0.0)

0 users

Generalized Weighted Quantile Sum Regression Random Subset.

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

Fits Weighted Quantile Sum Random Subset (WQSRS) regressions for continuous, binomial, multinomial and count outcomes. Paul Curtin, Joshua Kellogg, Nadja Cech, Chris Gennings (2019) .

Maintainer: Stefano Renzetti
Author(s): Stefano Renzetti, Paul Curtin, Chris Gennings

License: GPL (>= 2)

Uses: broom, dplyr, future, future.apply, ggplot2, ggrepel, gWQS, kableExtra, knitr, MASS, nnet, plotROC, pscl, reshape2, rlist, Rsolnp

Released 3 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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


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


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

Visit gWQSRS on R Graphical Manual.