bootstrap_ci: Boostrap Confidence Intervals
In kemacdonald/kmr: KM Customization

This function computes 95 percent confidence intervals via non-parametric bootstrap.

1	bootstrap_ci(x, .fun = NULL, bound, level, na.rm = T)

`x`	A vector of numeric values for which you need a boostrapped confidence interval
`.fun`	The function that you want to be bootsrtrapped
`bound`	Which bound of the confidence interval: "upper" vs. "lower"
`level`	Level of confidence (numeric)

1 2	# returns a numeric with either the lower and upper bound of the CI boostrap_ci(x = df$accuracy, .fun = mean, bound = "upper", level = 0.975, na.rm=T)