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Nonlinear Optimization Options
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The TCOUNTREG Procedure (Experimental)

  • Overview
  • Getting Started
  • Syntax Procedure Syntax
    Functional Summary PROC TCOUNTREG Statement BOUNDS Statement BY Statement CLASS Statement FREQ Statement ID Statement INIT Statement MODEL Statement NLOPTIONS Statement OUTPUT Statement RESTRICT Statement WEIGHT Statement ZEROMODEL Statement
  • Details Procedure Details
    Specification of Regressors Missing Values Poisson Regression Negative Binomial Regression Zero-Inflated Count Regression Overview Zero-Inflated Poisson Regression Zero-Inflated Negative Binomial Regression Variable Selection Panel Data Analysis Computational Resources Nonlinear Optimization Options Covariance Matrix Types Displayed Output OUTPUT OUT= Data Set OUTEST= Data Set ODS Table Names
  • Examples Procedure Examples
    Basic Models ZIP and ZINB Models for Data Exhibiting Extra Zeros Variable Selection
  • References
 
Nonlinear Optimization Options

PROC TCOUNTREG uses the nonlinear optimization (NLO) subsystem to perform nonlinear optimization tasks. In the PROC TCOUNTREG statement, you can specify nonlinear optimization options that are then passed to the NLO subsystem. For a list of all the nonlinear optimization options, see Chapter 6, Nonlinear Optimization Methods.


Note: This procedure is experimental.

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