The COUNTREG Procedure
- Overview
- Getting Started
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Syntax
Functional SummaryPROC COUNTREG StatementBAYES StatementBOUNDS StatementBY StatementCLASS StatementDISPMODEL StatementFREQ StatementINIT StatementMODEL StatementNLOPTIONS StatementOUTPUT StatementPERFORMANCE StatementPRIOR StatementRESTRICT StatementSCORE StatementSHOW StatementSPATIALDISPEFFECTS StatementSPATIALEFFECTS StatementSPATIALID StatementSPATIALZEROEFFECTS StatementSTORE StatementTEST StatementWEIGHT StatementZEROMODEL Statement -
DetailsSpecification of RegressorsMissing ValuesPoisson RegressionConway-Maxwell-Poisson RegressionNegative Binomial RegressionZero-Inflated Count Regression OverviewZero-Inflated Poisson RegressionZero-Inflated Conway-Maxwell-Poisson RegressionZero-Inflated Negative Binomial RegressionSpatial Lag of X ModelVariable SelectionPanel Data AnalysisBY Groups and Scoring with an Item StoreParameter Naming Conventions for the RESTRICT, TEST, BOUNDS, and INIT StatementsComputational ResourcesNonlinear Optimization OptionsCovariance Matrix TypesDisplayed OutputBayesian AnalysisPrior DistributionsAutomated MCMC AlgorithmMarginal LikelihoodOUTPUT OUT= Data SetOUTEST= Data SetODS Table NamesODS Graphics
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Examples
- References
Details: COUNTREG Procedure
Subsections:
- Specification of Regressors
- Missing Values
- Poisson Regression
- Conway-Maxwell-Poisson Regression
- Negative Binomial Regression
- Zero-Inflated Count Regression Overview
- Zero-Inflated Poisson Regression
- Zero-Inflated Conway-Maxwell-Poisson Regression
- Zero-Inflated Negative Binomial Regression
- Spatial Lag of X Model
- Variable Selection
- Panel Data Analysis
- BY Groups and Scoring with an Item Store
- Parameter Naming Conventions for the RESTRICT, TEST, BOUNDS, and INIT Statements
- Computational Resources
- Nonlinear Optimization Options
- Covariance Matrix Types
- Displayed Output
- Bayesian Analysis
- Prior Distributions
- Automated MCMC Algorithm
- Marginal Likelihood
- OUTPUT OUT= Data Set
- OUTEST= Data Set
- ODS Table Names
- ODS Graphics