* using log directory 'd:/Rcompile/CRANpkg/local/4.4/RIIM.Rcheck'
* using R version 4.4.3 (2025-02-28 ucrt)
* using platform: x86_64-w64-mingw32
* R was compiled by
    gcc.exe (GCC) 13.3.0
    GNU Fortran (GCC) 13.3.0
* running under: Windows Server 2022 x64 (build 20348)
* using session charset: UTF-8
* checking for file 'RIIM/DESCRIPTION' ... OK
* checking extension type ... Package
* this is package 'RIIM' version '2.0.0'
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking whether package 'RIIM' can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [0s] OK
* checking whether the package can be loaded with stated dependencies ... [0s] OK
* checking whether the package can be unloaded cleanly ... [0s] OK
* checking whether the namespace can be loaded with stated dependencies ... [0s] OK
* checking whether the namespace can be unloaded cleanly ... [1s] OK
* checking loading without being on the library search path ... [0s] OK
* checking use of S3 registration ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [5s] OK
* checking Rd files ... [1s] OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking examples ... [4s] ERROR
Running examples in 'RIIM-Ex.R' failed
The error most likely occurred in:

> ### Name: IPPW
> ### Title: Randomization-based inference using inverse post-matching
> ###   probability weighting (IPPW)
> ### Aliases: IPPW
> 
> ### ** Examples
> 
> library(MASS)
> library(xgboost)
> library(optmatch)
> 
> # Generate data
> set.seed(1)
> d = 3
> n = 30
> sigma = diag(d)
> 
> # Generate X
> X_d = mvtnorm::rmvnorm(n, mean = rep(0,d), sigma = sigma)
> 
> # Generate Z
> C = -2.5 
> fx = 0.1*(X_d[,1])^3 + 0.3*(X_d[,2]) + 0.2*log((X_d[,3])^2) + 
+      abs(X_d[,1]*X_d[,2]) + rnorm(n,0,1) + C
> p = exp(fx)/(1+exp(fx)) # the probability of receiving the treatment
> Z = rep(0,length(p))
> for(i in seq_along(p)){
+   Z[i] = rbinom(1,1,p[i])
+ }
> 
> # Generate Y 
> Y_0 = 0.2*(X_d[,1])^3 + 0.2*abs(X_d[,2]) + 0.5*abs(X_d[,3]) + rnorm(n,0,1)
> Y_1 = Y_0 + 1 + 0.3*X_d[,1] + 0.2*X_d[,3]^3
> Y = (1-Z)*Y_0 + Z*Y_1
> 
> # The output
> est = IPPW(Y,Z,X_d,min.controls = 0.01,max.controls = 100,caliper=FALSE,  
+ calipersd = 0.2,dim=FALSE,gamma=0.1,alpha=0.05)$estimate
Warning in optmatch::fullmatch(distmat, min.controls, max.controls) :
  Without 'data' argument the order of the match is not guaranteed
    to be the same as your original data.
Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized),  :
  Passed unrecognized parameters: verbose. This warning will become an error in a future version.
Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '",  :
  Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version.
Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '",  :
  Parameter 'label' has been renamed to 'y'. This warning will become an error in a future version.
Error in process.y.margin.and.objective(y, base_margin, objective, params) : 
  Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic
Calls: IPPW -> <Anonymous> -> process.y.margin.and.objective
Execution halted
* checking PDF version of manual ... [18s] OK
* checking HTML version of manual ... [1s] OK
* DONE
Status: 1 ERROR