mcN | R Documentation |
mcN(x, ...)
z |
Value of Z for a given confidence level for a normally distributed random variable, default is 1.96 for a 95\ \itemEThe required percentage error of the mean, numeric. |
The mcN
function implements the simple method of Bukaci et al. (2016) to
calculate the number of Monte Carlo (MC) simulations required to obtain
results with a given precision level.
data(ple4)
ssb <- rlnorm(2000, log(ssb(ple4)), 0.5)
itse <- mcN(ssb)
plot(se~iters, itse, type='l')
Bukaci, E. Korini, Th., Periku, E., Allkja, S., Sheperi, P. 2016. Number of iterations needed in Monte Carlo Simulation using reliability analysis for tunnel supports. Int. J. of Eng. Res. and Apps., 6 (6-3): 60-64. <www.ijera.com/papers/Vol6_issue6/Part%20-%203/J0606036064.pdf>
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