resp: The vector of the response manifest variable. There can be more than one variable. It has to be the name of the variable as a character string.
grp: The vector of the variable that divides the population into groups. It has to be the name of the variable as a character string.
str: The vector of the variable used for the strata. It has to be the name of the variable as a character string.
covs: The covariates to be used in the model. It has to be the name of the variable as a character string.
delta: Offeset for covariates.
correct: Should the variance estimator be corrected as in Chen and Kolassa?
Returns
A list with components b, the vector of adjusted estimates from the method, and Vb, the corresponding estimated covariance matrix.
Details
The function calls a Fortran code to calculate the estimators b and their variance-covariance matrix Vb
Examples
# Breast cancer data from the MultNonParam package.data(sotiriou)attach(sotiriou)#First simple plot of the dataplot(AGE,TUMOR_SIZE,pch=(recur+1),main="Age and Tumor Size", sub="Breast Cancer Recurrence Data",xlab="Age (years)", ylab="Tumor Size",col=c("blue","darkolivegreen"))legend(31,8,legend=c("Not Recurrent","Recurrent"), pch=1:2,col=c("blue","darkolivegreen"))#AGE and TUMOR_SIZE are the response variables, recur is used for the groups,#TAMOXIFEN_TREATMENT for the stratum and ELSTON.ELLIS_GRADE is a covariate.po<-probest(sotiriou,c("AGE","TUMOR_SIZE"),"recur","TAMOXIFEN_TREATMENT","ELSTON.ELLIS_GRADE")
References
A. Kawaguchi, G. G. Koch and X. Wang (2012), "Stratified Multivariate Mann-Whitney Estimators for the Comparison of Two Treatments with Randomization Based Covariance Adjustment", Statistics in Biopharmaceutical Research 3 (2) 217-231.
J. E. Kolassa and Y. Seifu (2013), Nonparametric Multivariate Inference on Shift Parameters, Academic Radiology 20 (7), 883-888.