IPWboxplot (0.1.0)

0 users

Adapted Boxplot to Missing Observations.


Boxplots adapted to the happenstance of missing observations where drop-out probabilities can be given by the practitioner or modelled using auxiliary covariates. The paper of "Zhang, Z., Chen, Z., Troendle, J. F. and Zhang, J.(2012) ", proposes estimators of marginal quantiles based on the Inverse Probability Weighting method.

Maintainer: Ana Perez-Gonzalez
Author(s): Ana Maria Bianco [aut], Graciela Boente [aut], Ana Perez-Gonzalez [aut]

License: GPL (>= 2)

Uses: isotone, mice, knitr, rmarkdown

Released over 1 year ago.



  (0 votes)


  (0 votes)

Log in to vote.


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

Related packages: Amelia, CVThresh, HardyWeinberg, Hmisc, ade4, cat, eigenmodel, experiment, ltm, memisc, mice, mitools, mix, norm, pan, randomForest, sbgcop, yaImpute, zoo, SNPassoc(20 best matches, based on common tags.)

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

Visit IPWboxplot on R Graphical Manual.