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MARGINALS=UNIFORM | EMPIRICAL
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specifies how the marginal distributions are computed. If MARGINALS=UNIFORM, then the samples are drawn from the copula distribution
and marginal distributions are uniform.
MARGINALS=EMPIRICAL can be used to explicitly specify that the marginal distributions are empirical CDF computed from the
DATA= option in the PROC COPULA statement.
If the MARGINALS= option is not specified in the SIMULATE statement, then the marginal distributions used in the simulation
depend on whether a preceding FIT statement was used: If there is no FIT statement, the marginal distributions depend on whether
the PROC COPULA statement includes a DATA= option. If there is a preceding FIT statement, then the marginal distributions
from that fit are used. If there is no FIT statement and there is no DATA= option, then MARGINALS=UNIFORM.
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OUT=SAS-data-set
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specifies the output data set for the random samples from the simulation. This data set is the SAS data set in the OUTUNIFORM=
option transformed by the inverse empirical CDF. This option is useful only when an input data exists and MARGINALS=EMPIRICAL.
The data set is not created if this option is not specified.
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OUTUNIFORM=SAS-data-set
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specifies the output data set for the result of the simulation in uniforms. This option can be used when MARGINALS=UNIFORM
or when MARGINALS=EMPIRICAL. If MARGINALS=EMPIRICAL, then this option enables you to obtain the samples simulated from the
joint distribution specified by the copula, with all marginal distributions being uniform. The data is not created if this
option is not specified.
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NDRAWS=integer
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specifies the number of draws to generate for this simulation. The default is 100.
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SEED=integer
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specifies the seed for generating random numbers for the simulation. If the seed is not provided, a random number is used
as the seed.
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PLOTS<(global-plot-options)> < = (specific-plot-options)>
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controls the plots that are produced by the COPULA procedure. By default, the PROC COPULA produces a scatter plot matrix for
variables. You can specify any of the following global-plot-options:
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UNPACKPANEL | UNPACK
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requests scatter plots for pairs of variables. If you specify this option, PROC COPULA displays a scatter plot for each applicable
pair of distinct variables that are specified in the VAR statement.
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NVAR=ALL | n
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specifies the maximum number of variables specified in the VAR statement to be displayed in the matrix plot. The NVAR=ALL
option uses all variables that are specified in the VAR statement. By default, NVAR=5.
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TAIL | CHI
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requests that tail dependence plots (chi-plots) be plotted. If you specify this option with the UNPACK option on, PROC COPULA
displays a chi-plot for each applicable pair of distinct variables that are specified in the VAR statement. If you specify
this option without the UNPACK option, PROC COPULA displays a scatter plot matrix, the lower triangular section shows regular
scatter plots between distinct pairs of variables that are specified in the VAR statement, the upper triangular section shows
chi-plots for corresponding pairs of variables.
You can specify the following specific-plot-options:
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DATATYPE=ORIGINAL | UNIFORM | BOTH
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requests the data type to be plotted. DATA=ORIGINAL presents the data in its original marginal distribution; DATA=UNIFORM
shows the transformed data with uniform marginal distribution; and DATA=BOTH plots both the original and uniform data types.
If MARGINALS=UNIFORM, then the transformation is omitted and the DATA= option is ignored. If there is no input data, then
the simulated data can only have uniform marginal distributions; in this case, the DATA= option is ignored.
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DISTRIBUTION=PDF | CDF
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requests distributional graphs for the case of two variables. DISTRIBUTION=PDF specifies that the theoretical probability
density function is provided with both a contour plot and a surface plot. DISTRIBUTION=CDF requests the graph for the theoretical
cumulative distribution function of the copula.
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NONE
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suppresses all plots.
