similar to: Using calibrate for raking (survey package)

Hi everyone, Does anyone know if there is a package to compute raking weights using R? What I need is to create a variable with weights base in some demographic variables (e.g. sexo, age group, area) using the raking procedure. Thank you in advance! -- Sebasti?n Daza

Dear R users: In Prof. Harrell's library rms, calibrate.rms plot the Bias-corrected Probability and Apparent Probability. The latter one can be retrieved from class calibrate.default. But how to retrieve the former one. BW *Yao Zhu* *Department of Urology Fudan University Shanghai Cancer Center Shanghai, China* [[alternative HTML version deleted]]

Hi! How can I exclude the legends from calibration plots  generated by calibrate.cph regards, Salvo [[alternative HTML version deleted]]

I am ''raking'' my brain to fix this problem - I have searched, googled, looked through rake documentation, wiki.rubyonrails and I can''t fix... This works $ rake plugindoc (in /home/craig/ruby-db/th-db) rdoc -o doc/plugins/ez_where --title ''Ez Where Plugin Documentation'' -- line-numbers --inline-source -T html

Hi all, I have a question on the package « survey” I have some difficulties to use the function ‘calibrate’. Although it works well with one single factor variable, I cannot use it for 2 and get the message “Erreur dans regcalibrate.survey.design2(design, formula, population, aggregate.stage = aggregate.stage, : Population and sample totals are not the same length.” Here is the format

I have been attempting to use cph models to get better calibration of my models for which I had originally used logistic regression. I tried running with 40 repetitions and got an error. I then tried 500 repetitions (thinking that the NaNs in the output below might be caused by that choice) and then let my computer crunch for several hours and got only the same error message and