Nothing

```
#' Estimate the error in the time estimate
#' @description Calculate the error in the estimate of the onset of
#' hybridization, following Equations 3 & 4 in the Supplementary information of
#' Janzen et al. 2018.
#' @param t Inferred time
#' @param N Population Size
#' @param R Number of genetic markers
#' @param H_0 Frequency of heterozygosity at t = 0
#' @param C Mean number of crossovers per meiosis (e.g. size in Morgan of
#' the chromosome)
#' @param relative Boolean flag, if TRUE: return the relative error, if FALSE:
#' return error in generations
#' @return Expected error in the time estimate
#' @export
time_error <- function(t = NA,
N = Inf, # nolint
R = Inf, # nolint
H_0 = 0.5, # nolint
C = 1, # nolint
relative = TRUE) {
error_t <- function(x) {
if (is.na(x)) {
return(NA)
}
K <- junctions::calc_k(N = N, # nolint
R = R, # nolint
H_0 = H_0, # nolint
C = C) # nolint
u <- 1 - 1 / (2 * N) - C / R
error <- log(u ^ x - 1 / K) / (log(u) * x) - 1
# the flag relative determines whether we want the error
# relative to K, or in absolute generations (relative = FALSE)
if (relative) return(error)
if (!relative) return(x * error)
}
output <- c()
for (i in seq_along(t)) {
output[i] <- error_t(t[i])
}
return(output)
}
```

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