Package: RIIM 2.0.0
Check: examples, Result: ERROR
  Running examples in ‘RIIM-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### 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
