The COPULA Procedure (Experimental)
- Overview
- Getting Started
-
Syntax
-
Details
Sklar’s Theorem Dependence Measures Normal Copula Student’s t copula Archimedean Copulas Canonical Maximum Likelihood Estimation (CMLE) Exact Maximum Likelihood Estimation (MLE) Calibration Estimation Nonlinear Optimization Options Displayed Output OUTCOPULA= Data Set OUTPSEUDO=, OUT=, and OUTUNIFORM= Data Sets ODS Table Names ODS Graph Names
-
Examples
- References
| SIMULATE Statement |
- SIMULATE <copula-name-list>/options ;
The SIMULATE statement simulates data from a specified copula model. The copula name specification can be either the name of a defined copula as specified by name in the DEFINE statement or the name of a fitted copula specified in the NAME= option in the FIT statement copula specification.
- MARGINALS=UNIFORM | EMPIRICAL
-
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.
- OUT=SAS-data-set
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.
- OUTUNIFORM=SAS-data-set
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.
- NDRAWS=integer
specifies the number of draws to generate for this simulation. The default is 100.
- SEED=integer
specifies the seed for generating random numbers for the simulation. If the seed is not provided, a random number is used as the seed.
- PLOTS <=plot-request-options>
- controls the plots that are produced by the COPULA procedure. You can specify any of the following plot-request-options:
- DATA=ORIGINAL | UNIFORM | BOTH
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.
- MATRIX <( matrix-options )>
requests a scatter plot matrix for variables. That is, the procedure displays a symmetric matrix plot with the variables that are specified in the VAR statement.
- SCATTER <(scatter-options)>
-
requests scatter plots for pairs of variables. That is, the procedure displays a scatter plot for each applicable pair of distinct variables that are specified in the VAR statement.
The available matrix-options and scatter-options are as follows:- NVAR=ALL | n
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.
- DISTRIBUTION=PDF | CDF
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.