Displaying 4 results from an estimated 4 matches for "finegray".
2015 May 16
1
That 'make check-all' problem with the survival package
...emed to be singular; variable 23 24 25
Loading required package: cmprsk
Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
there is no package called ?cmprsk?
Error: processing vignette 'compete.Rnw' failed with diagnostics:
chunk 15 (label = finegray)
Error in eval(expr, envir, enclos) : could not find function "crr"
Execution halted
2015 May 16
2
That 'make check-all' problem with the survival package
...required package: cmprsk
>> Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
>> there is no package called ?cmprsk?
>>
>> Error: processing vignette 'compete.Rnw' failed with diagnostics:
>> chunk 15 (label = finegray)
>> Error in eval(expr, envir, enclos) : could not find function "crr"
>> Execution halted
>>
>> ______________________________________________
>> R-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>
2015 May 17
0
That 'make check-all' problem with the survival package
...cmprsk
>>> Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE,? :
>>>???there is no package called ?cmprsk?
>>>
>>> Error: processing vignette 'compete.Rnw' failed with diagnostics:
>>>? chunk 15 (label = finegray)
>>> Error in eval(expr, envir, enclos) : could not find function "crr"
>>> Execution halted
>>>
>>> ______________________________________________
>>> R-devel at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-...
2018 Mar 21
1
selectFGR vs weighted coxph for internal validation and calibration curve- competing risks model
Dear Geskus,
I want to develop a prediction model. I followed your paper and analysed thro' weighted coxph approach. I can develop nomogram based on the final model also. But I do not know how to do internal validation of the model and subsequently obtain calibration plot. Is it possible to use Wolbers et al Epid 2009 approach 9 (R code for internal validation and calibration) . It is