mcN: Compute number of necessary Monte Carlo runs
In iagomosqueira/mse: Tools for Running Management Strategy Evaluations using FLR
mcN R Documentation
Compute number of necessary Monte Carlo runs
Usage
mcN(x, ...)
Arguments
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>
iagomosqueira/mse documentation built on April 24, 2024, 4:35 a.m.
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| mcN | R Documentation |
Compute number of necessary Monte Carlo runs
Usage
mcN(x, ...)
Arguments
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>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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