Displaying 5 results from an estimated 5 matches for "groupkm".
2008 Nov 03
0
NaN causes "error in fitter" with cph.calibrate from pkg Design
...hts, :
NA/NaN/Inf in foreign function call (arg 6)
In addition: There were 50 or more warnings (use warnings() to see the
first 50)
er(X, Y, strata = Strata, offset = offset, weights = weights, :
The warnings are of two types. Here are the first ten:
> warnings()
Warning messages:
1: In groupkm(cox, Surv(y[, 1], y[, 2]), u = u, cuts = orig.cuts) ... :
one interval had < 2 observations
2: In groupkm(cox, Surv(y[, 1], y[, 2]), u = u, cuts = orig.cuts) ... :
one interval had < 2 observations
3: In groupkm(cox, Surv(y[, 1], y[, 2]), u = u, cuts = orig.cuts) ... :
one interval had...
2009 Oct 07
0
Updates to rms package
...redictor name has changed between models
* Added ties=mean to approx( ) calls that did not have ties= specified
* Added nlevels argument to bplot to pass to contour
* Added par argument to iLegend - list to pass to par().
* Redirected ... argument to iLegend to image( ).
* Fixed groupkm - was printing warning messages wrongly
* Added new semiparametric survival prediction calibration curve
method in val.surv for external validation; this is the first
implementation of smooth calibration curves for survival probability
validation with right-censored data
* Fixed calibrat...
2009 Oct 07
0
Updates to rms package
...redictor name has changed between models
* Added ties=mean to approx( ) calls that did not have ties= specified
* Added nlevels argument to bplot to pass to contour
* Added par argument to iLegend - list to pass to par().
* Redirected ... argument to iLegend to image( ).
* Fixed groupkm - was printing warning messages wrongly
* Added new semiparametric survival prediction calibration curve
method in val.surv for external validation; this is the first
implementation of smooth calibration curves for survival probability
validation with right-censored data
* Fixed calibrat...
2013 Apr 19
2
NAMESPACE and imports
...ss "anova.rms" so there are anova.rms and
latex.anova.rms functions in rms. I use:
export(asis,bj,bjplot,bootBCa,bootcov,bootplot,bplot,calibrate,cph,catg,combineRelatedPredictors,confplot,contrast,coxphFit,cph,cr.setup,datadist,effective.df,fastbw,formatNP,gendata,gIndex,GiniMd,Glm,Gls,groupkm,Hazard,hazard.ratio.plot,histdensity,"%ia%",ie.setup,interactions.containing,legend.nomabbrev,lm.pfit,lrm,lrtest,lsp,matinv,matrx,Newlabels,Newlevels,nomogram,num.intercepts,ols,ols.influence,oos.loglik,pantext,Penalty.matrix,Penalty.setup,pentrace,perimeter,perlcode,plot.xmean.ordinaly,p...
2005 Jul 11
1
validation, calibration and Design
Hi R experts,
I am trying to do a prognostic model validation study, using cancer
survival data. There are 2 data sets - 1500 cases used to develop a
nomogram, and another of 800 cases used as an independent validation
cohort. I have validated the nomogram in the original data (easy with
the Design tools), and then want to show that it also has good results
with the independent data using 60