Install the Design and Hmisc package then do: library(Design) ?validate.lrm ?calibrate
Resampling methods such as the bootstrap and cross-validation assume you have done no model/variable selection outside the bootstrap look, i.e., you let the bootstrap repeat all modeling steps that used Y. validate and calibrate only support backward stepdown variable selection, but if you are using full pre-specified model fits, this is even easier.
Frank vivienne_o.ozoh...@boimail.com wrote:
Hi, I was wondering whether this query was addressed on how to perform validation through boostrapping. I am currently trying to implement a boostrapping approach to validation but don't know where to start. Help please. Thank you and Regards, Vivienne Ozohili Risk Model Validation Manager Group Risk Independent Control Unit A5, Bank of Ireland Head Office Lower Baggot Street Dublin 2 Tel: +353-01-6044833 Email: vivienne_o.ozoh...@boimail.com The Governor and Company of the Bank of Ireland is regulated by the Financial Regulator in Ireland and authorised by the Financial Services Authority in the UK. Bank of Ireland incorporated in Ireland with Limited Liability. Registered Office: Head Office, Lower Baggot Street, Dublin 2. Registered Number - C-1 <PRE> ************************** </PRE> This email and any files transmitted with it are confide...{{dropped:15}} ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.