Gmc: Monte Carlo Gini Coefficient
In prestevez/crimeineq:
Description
Usage
Arguments
Value
Description
A function that estimates a Gini coefficient using a Monte Carlo simulation
of a Poisson process. It uses the Gini function from the
ineq package.
Usage
1
Arguments
x
a vector of counts that is to be simulated, or a mean event rate
representing the distribution to be simulated. x can be a table or a dataframe
with a distribution, instead of the whole vector.
n
a number representing how many observations should be generated in
each replicate. Defaults to NULL, in which case the
length(x) is used.
reps
number of replicates to generate, defaults to 99.
mean
logical idicating whether the estimate reported ought to be
the mean or median of the simulated estimates. Defaults to TRUE (i.e.
the mean)
conf.level
the alpha value of the confidence interval; defaults to
0.95. Only accepts values between 0 and 1, exclusive.
Value
A list of Gmc class, number of replictes, type of estimate (mean or
median), the simulated distributions and their Gini coefficients.
prestevez/crimeineq documentation built on May 29, 2019, 7:39 a.m.
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Description Usage Arguments Value
Description
A function that estimates a Gini coefficient using a Monte Carlo simulation
of a Poisson process. It uses the Gini function from the
ineq package.
Usage
1 |
Arguments
x |
a vector of counts that is to be simulated, or a mean event rate representing the distribution to be simulated. x can be a table or a dataframe with a distribution, instead of the whole vector. |
n |
a number representing how many observations should be generated in
each replicate. Defaults to |
reps |
number of replicates to generate, defaults to 99. |
mean |
logical idicating whether the estimate reported ought to be the mean or median of the simulated estimates. Defaults to TRUE (i.e. the mean) |
conf.level |
the alpha value of the confidence interval; defaults to 0.95. Only accepts values between 0 and 1, exclusive. |
Value
A list of Gmc class, number of replictes, type of estimate (mean or
median), the simulated distributions and their Gini coefficients.
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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