nmc: nmc
In laurieKell/mpb: Management Procedures
nmcFn R Documentation
nmc
Usage
nmcFn(x, s, E = 5, z = 1.96)
Arguments
x
FLQuant
E
numeric The required percentage error of the mean
z
numeric Value of Z for a given confidence level for a normally distributed random variable, default is 1.96 for a 95
\item...other arguments
FLQuant with number of iters required by number of iters
Calculates the number of iterations needed in Monte Carlo Simulation to achieve a given precision.
## Not run:
data(ple4)
ssb=rlnorm(2000,log(ssb(ple4)),0.5)
nmc(ssb)
## End(Not run)
laurieKell/mpb documentation built on Sept. 9, 2023, 9:47 p.m.
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| nmcFn | R Documentation |
nmc
Usage
nmcFn(x, s, E = 5, z = 1.96)
Arguments
x |
|
E |
|
z |
...other arguments |
FLQuant with number of iters required by number of iters
Calculates the number of iterations needed in Monte Carlo Simulation to achieve a given precision.
## Not run:
data(ple4)
ssb=rlnorm(2000,log(ssb(ple4)),0.5)
nmc(ssb)
## End(Not run)
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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