Nothing

```
isCbalanced <- function(d, preperiod = FALSE) {
if (!is.matrix(d) || !is.numeric(d)) {
stop("Please check your design matrix")
}
trt <- max(d)
if (any(sort(unique(as.vector(d))) != 1:length(unique(as.vector(d))))) {
stop("Please check your design matrix")
}
b <- nrow(d)
k <- ncol(d)
if (any(c(trt, b, k) == 1)) {
stop("Please check your design matrix")
}
balance <- FALSE
V <- matrix(0, nrow = trt, ncol = trt)
if (preperiod) {
V <- diag(k)[c(k, 1:(k - 1)), ]
} else {
V <- rbind(numeric(k), diag(k)[1:(k - 1), ])
}
M <- t(Td(d)) %*% kronecker(diag(b), t(V)) %*% Td(d)
## M=[m_ij] where i is left neighbour to j
cat("\n")
if (!any(as.logical(diag(M))) && length(unique(as.vector(M - 2 * b * k * diag(trt)))) == 2) {
balance <- TRUE
cat("The design is (first order) carry-over balanced.", "\n", "\n")
} else {
cat("The design is not (first order) carry-over balanced.", "\n", "\n")
}
## If M is completely symmetric and the diagonal of M is zero then d is
## neighbourbalanced. Hence, if the diagonal is zero and
## length(unique(as.vector(M-2*b*k*diag(trt)))) [negative diagonal!] is two then
## d is carry-over balanced.
cat("Left neighbour incidence matrix M_ij (i is left neighbour of j)", "\n", "\n")
print(M)
invisible(list(balance, M))
}
```

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