• Contents
  • About
  • Credits and Acknowledgments
    • Credits
      • Documentation
      • Software
      • Testing
      • Internationalization Testing
      • Technical Support
    • Acknowledgments
  • Introduction
    • Overview of SAS/STAT High-Performance Procedures
    • About This Book
      • Chapter Organization
      • Typographical Conventions
      • Options Used in Examples
    • Online Documentation
    • SAS Technical Support Services
  • Shared Concepts and Topics
    • Overview
    • Processing Modes
      • Single-Machine Mode
      • Distributed Mode
      • Symmetric and Asymmetric Distributed Modes
        • Symmetric Mode
        • Asymmetric Mode
      • Controlling the Execution Mode with Environment Variables and Performance Statement Options
      • Determining Single-Machine Mode or Distributed Mode
    • Alongside-the-Database Execution
    • Alongside-LASR Distributed Execution
    • Running High-Performance Analytical Procedures Alongside a SAS LASR Analytic Server in Distributed Mode
      • Starting a SAS LASR Analytic Server Instance
      • Associating a SAS Libref with the SAS LASR Analytic Server Instance
      • Running a High-Performance Analytical Procedure Alongside the SAS LASR Analytic Server Instance
      • Terminating a SAS LASR Analytic Server Instance
    • Alongside-LASR Distributed Execution on a Subset of the Appliance Nodes
    • Running High-Performance Analytical Procedures in Asymmetric Mode
      • Running in Symmetric Mode
      • Running in Asymmetric Mode on One Appliance
      • Running in Asymmetric Mode on Distinct Appliances
    • Alongside-HDFS Execution
      • Alongside-HDFS Execution by Using the SASHDAT Engine
      • Alongside-HDFS Execution by Using the Hadoop Engine
    • Output Data Sets
    • Working with Formats
    • PERFORMANCE Statement
  • Shared Statistical Concepts
    • Common Features of SAS High-Performance Statistical Procedures
    • Syntax Common to SAS High-Performance Statistical Procedures
      • CLASS Statement
      • FREQ Statement
      • ID Statement
      • SELECTION Statement
      • VAR Statement
      • WEIGHT Statement
    • Levelization of Classification Variables
    • Specification and Parameterization of Model Effects
      • Effect Operators
        • Bar and At Sign Operators
        • Colon, Dash, and Double Dash Operators
      • GLM Parameterization of Classification Variables and Effects
        • Intercept
        • Regression Effects
        • Main Effects
        • Interaction Effects
        • Nested Effects
        • Continuous-Nesting-Class Effects
        • Continuous-by-Class Effects
        • General Effects
      • Reference Parameterization
    • Model Selection
      • Methods
        • Full Model Fitted
        • Forward Selection
        • Backward Elimination
        • Stepwise Selection
        • Forward-Swap Selection
        • Least Angle Regression
        • Lasso Selection
        • Adaptive Lasso Selection
    • References
  • The HPGENSELECT Procedure
    • Overview: HPGENSELECT Procedure
      • PROC HPGENSELECT Features
      • PROC HPGENSELECT Contrasted with PROC GENMOD
    • Getting Started: HPGENSELECT Procedure
    • Syntax: HPGENSELECT Procedure
      • PROC HPGENSELECT Statement
      • CLASS Statement
      • CODE Statement
      • FREQ Statement
      • ID Statement
      • MODEL Statement
      • OUTPUT Statement
      • PERFORMANCE Statement
      • SELECTION Statement
      • WEIGHT Statement
      • ZEROMODEL Statement
    • Details: HPGENSELECT Procedure
      • Missing Values
      • Exponential Family Distributions
      • Response Distributions
      • Response Probability Distribution Functions
      • Log-Likelihood Functions
      • Computational Method: Multithreading
      • Choosing an Optimization Algorithm
        • First- or Second-Order Algorithms
        • Algorithm Descriptions
      • Displayed Output
      • ODS Table Names
    • Examples: HPGENSELECT Procedure
      • Model Selection
      • Modeling Binomial Data
      • Tweedie Model
    • References
  • The HPLOGISTIC Procedure
    • Overview: HPLOGISTIC Procedure
      • PROC HPLOGISTIC Features
      • PROC HPLOGISTIC Contrasted with Other SAS Procedures
    • Getting Started: HPLOGISTIC Procedure
      • Binary Logistic Regression
    • Syntax: HPLOGISTIC Procedure
      • PROC HPLOGISTIC Statement
      • BY Statement
      • CODE Statement
      • CLASS Statement
      • FREQ Statement
      • ID Statement
      • MODEL Statement
      • OUTPUT Statement
      • PERFORMANCE Statement
      • SELECTION Statement
      • WEIGHT Statement
    • Details: HPLOGISTIC Procedure
      • Missing Values
      • Response Distributions
      • Log-Likelihood Functions
      • Existence of Maximum Likelihood Estimates
      • Generalized Coefficient of Determination
      • The Hosmer-Lemeshow Goodness-of-Fit Test
      • Computational Method: Multithreading
      • Choosing an Optimization Algorithm
        • First- or Second-Order Algorithms
        • Algorithm Descriptions
      • Displayed Output
      • ODS Table Names
    • Examples: HPLOGISTIC Procedure
      • Model Selection
      • Modeling Binomial Data
      • Ordinal Logistic Regression
      • Conditional Logistic Regression for Matched Pairs Data
    • References
  • The HPLMIXED Procedure
    • Overview: HPLMIXED Procedure
      • PROC HPLMIXED Features
      • Notation for the Mixed Model
      • PROC HPLMIXED Contrasted with Other SAS Procedures
    • Getting Started: HPLMIXED Procedure
      • Mixed Model Analysis of Covariance with Many Groups
    • Syntax: HPLMIXED Procedure
      • PROC HPLMIXED Statement
      • CLASS Statement
      • MODEL Statement
      • PARMS Statement
      • PERFORMANCE Statement
      • RANDOM Statement
      • REPEATED Statement
    • Details: HPLMIXED Procedure
      • Linear Mixed Models Theory
        • Matrix Notation
        • Formulation of the Mixed Model
        • Estimating Covariance Parameters in the Mixed Model
        • Estimating Fixed and Random Effects in the Mixed Model
        • Statistical Properties
      • Computational Method
        • Distributed Computing
        • Multithreading
      • Displayed Output
        • Performance Information
        • Model Information
        • Class Level Information
        • Dimensions
        • Number of Observations
        • Optimization Information
        • Iteration History
        • Convergence Status
        • Covariance Parameter Estimates
        • Fit Statistics
        • Timing Information
      • ODS Table Names
    • Examples: HPLMIXED Procedure
      • Computing BLUPs for a Large Number of Subjects
    • References
  • The HPNLMOD Procedure
    • Overview: HPNLMOD Procedure
      • PROC HPNLMOD Features
      • PROC HPNLMOD Contrasted with the NLIN and NLMIXED Procedures
    • Getting Started: HPNLMOD Procedure
      • Least Squares Model
      • Binomial Model
    • Syntax: HPNLMOD Procedure
      • PROC HPNLMOD Statement
      • BOUNDS Statement
      • BY Statement
      • ESTIMATE Statement
      • MODEL Statement
      • PARAMETERS Statement
      • PERFORMANCE Statement
      • PREDICT Statement
      • RESTRICT Statement
      • Programming Statements
    • Details: HPNLMOD Procedure
      • Least Squares Estimation
      • Built-In Log-Likelihood Functions
      • Computational Method
      • Choosing an Optimization Algorithm
      • Displayed Output
      • ODS Table Names
    • Examples: HPNLMOD Procedure
      • Segmented Model
    • References
  • The HPREG Procedure
    • Overview: HPREG Procedure
      • PROC HPREG Features
      • PROC HPREG Contrasted with Other SAS Procedures
    • Getting Started: HPREG Procedure
    • Syntax: HPREG Procedure
      • PROC HPREG Statement
      • BY Statement
      • CODE Statement
      • CLASS Statement
      • FREQ Statement
      • ID Statement
      • MODEL Statement
      • PARTITION Statement
      • PERFORMANCE Statement
      • SELECTION Statement
      • OUTPUT Statement
      • WEIGHT Statement
    • Details: HPREG Procedure
      • Criteria Used in Model Selection
      • Diagnostic Statistics
      • Classification Variables and the SPLIT Option
      • Using Validation and Test Data
      • Computational Method
      • Output Data Set
      • Displayed Output
      • ODS Table Names
    • Examples: HPREG Procedure
      • Model Selection with Validation
      • Backward Selection in Single-Machine and Distributed Modes
      • Forward-Swap Selection
    • References
  • The HPSPLIT Procedure
    • Overview: HPSPLIT Procedure
      • PROC HPSPLIT Features
    • Getting Started: HPSPLIT Procedure
    • Syntax: HPSPLIT Procedure
      • PROC HPSPLIT Statement
      • CODE Statement
      • CRITERION Statement
      • ID Statement
      • INPUT Statement
      • OUTPUT Statement
      • PARTITION Statement
      • PERFORMANCE Statement
      • PRUNE Statement
      • RULES Statement
      • SCORE Statement
      • TARGET Statement
    • Details: HPSPLIT Procedure
      • Building a Tree
      • Interval Input Binning Details
      • Input Variable Splitting and Selection
      • Pruning
      • Memory Considerations
      • Handling Missing Values
      • Handling Unknown Levels in Scoring
      • Splitting Criteria
      • Pruning Criteria
      • Subtree Statistics
      • Variable Importance
      • Outputs
    • Examples: HPSPLIT Procedure
      • Creating an English Rules Description of a Tree
      • Assessing Variable Importance
    • References


ProductRelease
SAS/STAT12.3
Type
Usage and Reference
Copyright Date
July 2013
Last Updated
08Jul2013