biasCorrection() show eorror about data dimension

[tianfy-iap]

I used monthly observation data and model historical output to do bias correction, which had same time length and data structure. But R report an error : Error in arr[, , , ind, , ] <- grid[["Data"]] : number of items to replace is not a multiple of replacement length

And when I input "biasCorrection()", R showed that Error in match.arg(method, choices = c("delta", "scaling", "eqm", "pqm", : 'arg'的长度必需为一
In addition: Warning message:
In if (method == "gqm") stop("'gqm' is not a valid choice anymore. Use method = 'pqm' instead and set fitdistr.args = list(densfun = 'gamma')") : the condition has length > 1 and only the first element will be used

Because I'm a beginner for R, I have no idea to solve this problem,can you help me?

[sdbht]

I also have same error when i try to biascorrect cmip6 data using cru ts. Any help would be very much appreciated. Thanks

[cyndyfem]

same problem with me