The MDC Procedure
Functional Summary
Table 24.2 summarizes the statements and options used with the MDC procedure.
Table 24.2: Functional Summary
Description | Statement | Option |
|---|---|---|
Data Set Options | ||
Formats the data for use by PROC MDC | MDCDATA | |
Specifies the input data set | MDC | DATA= |
Specifies the output data set for CLASS STATEMENT | CLASS | OUT = |
Writes parameter estimates to an output data set | MDC | OUTEST= |
Includes covariances in the OUTEST= data set | MDC | COVOUT |
Writes linear predictors and predicted probabilities to an output data set | OUTPUT | OUT= |
Declaring the Role of Variables | ||
Specifies the ID variable | ID | |
Specifies BY-group processing variables | BY | |
Printing Control Options | ||
Requests all printing options | MODEL | ALL |
Displays correlation matrix of the estimates | MODEL | CORRB |
Displays covariance matrix of the estimates | MODEL | COVB |
Displays detailed information about optimization iterations | MODEL | ITPRINT |
Suppresses all displayed output | MODEL | NOPRINT |
Model Estimation Options | ||
Specifies the choice variables | MODEL | CHOICE=() |
Specifies the convergence criterion | MODEL | CONVERGE= |
Specifies the type of covariance matrix | MODEL | COVEST= |
Specifies the starting point of the Halton sequence | MODEL | HALTONSTART= |
Specifies options specific to the HEV model | MODEL | HEV=() |
Sets the initial values of parameters used by the iterative optimization algorithm | MODEL | INITIAL=() |
Specifies the maximum number of iterations | MODEL | MAXITER= |
Specifies the options specific to mixed logit | MODEL | MIXED=() |
Specifies the number of choices for each person | MODEL | NCHOICE= |
Specifies the number of simulations | MODEL | NSIMUL= |
Specifies the optimization technique | MODEL | OPTMETHOD= |
Specifies the type of random number generators | MODEL | RANDNUM= |
Specifies that initial values are generated using random numbers | MODEL | RANDINIT |
Specifies the rank dependent variable | MODEL | RANK |
Specifies optimization restart options | MODEL | RESTART=() |
Specifies a restriction on inclusive parameters | MODEL | SAMESCALE |
Specifies a seed for pseudo-random number generation | MODEL | SEED= |
Specifies a stated preference data restriction on inclusive parameters | MODEL | SPSCALE |
Specifies the type of the model | MODEL | TYPE= |
Specifies normalization restrictions on multinomial probit error variances | MODEL | UNITVARIANCE=() |
Controlling the Optimization Process | ||
Specifies upper and lower bounds for the parameter estimates | BOUNDS | |
Specifies linear restrictions on the parameter estimates | RESTRICT | |
Specifies nonlinear optimization options | NLOPTIONS | |
Nested Logit Related Options | ||
Specifies the tree structure | NEST | LEVEL()= |
Specifies the type of utility function | UTILITY | U()= |
Output Control Options | ||
Outputs predicted probabilities | OUTPUT | P= |
outputs estimated linear predictor | OUTPUT | XBETA= |
Test Request Options | ||
Requests Wald, Lagrange multiplier, and likelihood ratio tests | TEST | ALL |
Requests the Wald test | TEST | WALD |
Requests the Lagrange multiplier test | TEST | LM |
Requests the likelihood ratio test | TEST | LR |