Running examples in 'mccmeiv-Ex.R' failed
The error most likely occurred in:

> ### Name: matcdata
> ### Title: A sample dataset representing matched case control data.
> ### Aliases: matcdata
> ### Keywords: Mismeasured Matched Cased Control Instrumental Dataset bias
> 
> ### ** Examples
> 
> data(matcdata)
> out1=with(matcdata,meiv(y=y,sv=sv,xs=xs,w=w,z=z,alpha=0.1))
The number of mismeasured observations  is 1500 
The number of response observations  is 1500 
No specified stratification factor variables.Transforming all stratification variables 
The number of observations in the confounding variables are 1500 
No specified instrumental factor variables.Transforming all instrumental variables 
The number of observations in instruments variables are 1500 
Covariates were specified.No specified z covariate factor variables. 
Transforming all additional covariates variables 
The number of observations in covariates are 1500 
Number of gamma and eta parameters estimating is  5 
Number of beta parameters estimating is  2 
Number of total parameters estimating is 7 
Estimating gamma and eta parameters... 
Done 
Estimating beta parameters... 
Done 
Estimating Standard Errors of estimates... 
Done 
Now calculating Confidence Intervals and P-values with an alpha= 0.1 level of significance. 
Estimation of parameters and standard errors is complete. 

Results of the analysis of the 1: 2  matched case control data where the exposure variable is misclassified: 

      Parameter Estimates Value    S.E.    Z_Value  CI_Lower_Limit
 [1,] gamma_Intercept     -0.76173 0.96889 -0.78618 -2.35541      
 [2,] xs                  0.93923  0.22103 4.2493   0.57567       
 [3,] sv                  0.53779  0.23035 2.33463  0.15889       
 [4,] eta_1               -1.04443 0.35359 -2.95377 -1.62604      
 [5,] eta_2               -0.04387 0.70448 -0.06227 -1.20263      
 [6,] beta_w              0.80199  0.24655 3.2528   0.39645       
 [7,] z                   0.12418  0.05679 2.18658  0.03077       
 [8,] alpha0              0.1524   0.0458  3.32743  0.07707       
 [9,] alpha1              0.41451  0.16134 2.56913  0.14912       
      CI_Upper_Limit P-Value
 [1,] 0.83196        0.43176
 [2,] 1.3028         2e-05  
 [3,] 0.91668        0.01956
 [4,] -0.46282       0.00314
 [5,] 1.1149         0.95035
 [6,] 1.20754        0.00114
 [7,] 0.2176         0.02877
 [8,] 0.22774        0.00088
 [9,] 0.67989        0.0102 

Naive analysis using misclassified variable: 

Call:
coxph(formula = formula)

Error in print.default(Cf, quote = FALSE, right = TRUE, na.print = na.print,  : 
  formal argument "quote" matched by multiple actual arguments
Calls: with ... eval -> meiv -> print -> print.coxph -> printCoefmat
Execution halted