GENLINMIXED
GENLINMIXED
is available in the Advanced Models option.
The GENLINMIXED
procedure fits generalized linear mixed
models.
GENLINMIXED
[/DATA_STRUCTURE]
SUBJECTS = fieldName[*fieldName[*...]]
[REPEATED_MEASURES = fieldName[*fieldName[*...]]]
[KRONECKER_MEASURES = fieldName[*fieldName[*...]]]
[GROUPING = fieldName[*fieldName[*...]]]
[COVARIANCE_TYPE = DIAGONAL** | AR1 | ARH1 |ARMA11 | COMPOUND_SYMMETRY | CSH | IDENTITY |
SP_POWER | SP_EXPONENTIAL | SP_GAUSSIAN | SP_LINEAR | SP_LINEARLOG |
SP_SPHERICAL | TOEPLITZ | UN_AR1 | UN_CS | UN_UN | UNSTRUCTURED |
VARIANCE_COMPONENTS]
[SPCOORDS = fieldName...]
/FIELDS
TARGET = fieldName
[TRIALS = {NONE** }]
{VALUE(number) }
{FIELD(fieldName)}
[ANALYSIS_WEIGHT = fieldName]
[OFFSET = {NONE** }]
{VALUE(number) }
{FIELD(fieldName)}
[/TARGET_OPTIONS]
[REFERENCE = value]
[DISTRIBUTION = NORMAL | BINOMIAL | MULTINOMIAL | GAMMA |
INVERSE_GAUSSIAN | NEGATIVE_BINOMIAL | POISSON]
[LINK = IDENTITY | CAUCHIT | CLOGLOG | LOG | LOGC | LOGIT | NLOGLOG | POWER | PROBIT ]
[LINK_PARAMETER = number]
[/FIXED]
[EFFECTS = effect [effect ...]]
[USE_INTERCEPT = TRUE** | FALSE]
[/RANDOM]
[EFFECTS = effect [effect ...]]
[USE_INTERCEPT = TRUE | FALSE**]
[SUBJECTS = fieldName[*fieldName[*...]]]
[GROUPING = fieldName[*fieldName[*...]]]
[COVARIANCE_TYPE = DIAGONAL | AR1 | ARH1 | ARMA11 | COMPOUND_SYMMETRY | CSH |
IDENTITY | TOEPLITZ | UNSTRUCTURED | VARIANCE_COMPONENTS**]
[SOLUTION = TRUE | FALSE**]
[/RANDOM ...]
[/BUILD_OPTIONS]
[TARGET_CATEGORY_ORDER = {ASCENDING**}]
{DESCENDING }
{DATA }
[INPUTS_CATEGORY_ORDER = {ASCENDING**}]
{DESCENDING }
{DATA }
[MAX_ITERATIONS = {100** }]
{number}
[CONFIDENCE_LEVEL = {95** }]
{number}
[DF_METHOD = {RESIDUAL** }]
{SATTERTHWAITE}
{KENWARD_ROGER}
[COVB = {MODEL**}]
{ROBUST }
[PCONVERGE = {1E-6**}[({ABSOLUTE**})] ]
{value } {RELATIVE }
[LCONVERGE = {0** }[({ABSOLUTE**})] ]
{value} {RELATIVE }
[HCONVERGE = {0** }[({ABSOLUTE**})] ]
{value } {RELATIVE }
[SCORING = {0**}]
{n }
[SINGULAR = {1E-12**}]
{value }
[/EMMEANS
[TABLES = factor[*factor...]]
[COMPARE = factor]
[CONTRAST = {NONE** }]
{PAIRWISE }
{DEVIATION}
{SIMPLE }
[/EMMEANS...]
[/EMMEANS_OPTIONS]
[CONTROL = fieldName (number) [fieldName (number) ...]]
[SCALE = {ORIGINAL** }]
{TRANSFORMED}
[PADJUST = {LSD** }]
{SEQBONFERRONI}
{SEQSIDAK }
[/OUTFILE MODEL = 'file']
[/SAVE [PREDICTED_VALUES(fieldName)]]
[PREDICTED_PROBABILITY(rootname)]
[MAX_CATEGORIES({25** })]
{integer}
[CONFIDENCE(fieldName)]
[CONFIDENCE_METHOD({PREDICTEDPROBABILITY**})]
{PROBABILITYIMPROVEMENT}
[CONFIDENCE_INTERVALS(rootname)]
[PEARSON_RESIDUALS(fieldName)].
** Default if the subcommand or keyword is omitted.
The KRONECKER_MEASURES
keyword should be only when
COVARIANCE_TYPE
is defined as UN_AR1
, UN_CS
, or
UN_UN
.
When both KRONECKER_MEASURES
and REPEATED_MEASURES
keywords are
in effect, they may or may not have common fields, but their values cannot be exactly the same (even
when the values are not in the same order).
This command reads the active dataset and causes execution of any pending commands. See the topic Command Order for more information.
Syntax for the GENLINMIXED
command can be generated from the Generalized linear mixed models dialog.
Release History
Release 19
- Command introduced.
Release 20
- Ordinal targets can be analyzed using the Multinomial distribution and the complementary log-log, cauchit, logit, negative log-log, or probit link functions.
Release 22
PCONVERGE
,LCONVERGE
,HCONVERGE
,SCORING
, andSINGULAR
keywords introduced on theBUILD_OPTIONS
subcommand.
Release 25
SP_POWER
,SP_EXPONENTIAL
,SP_GAUSSIAN
,SP_LINEAR
,SP_LINEARLOG
, andSP_SPHERICAL
options added to theCOVARIANCE_TYPE
keyword on theDATA_STRUCTURE
subcommand.SPCOORDS
keyword introduced on theDATA_STRUCTURE
subcommand.SOLUTION
keyword introduced on theRANDOM
subcommand.
Subscription (April 2018 update)
ARH1
andCSH
options added to theCOVARIANCE_TYPE
keyword on theRANDOM
subcommand.ARH1
andCSH
options added to theCOVARIANCE_TYPE
keyword on theDATA_STRUCTURE
subcommand.KENWARD_ROGER
option added to theDF_METHOD
keyword on theBUILD_OPTIONS
subcommand.KRONECKER_MEASURES
keyword added to theDATA_STRUCTURE
subcommand. The keyword should be used only whenCOVARIANCE_TYPE
is one of three following Kronecker types.UN_AR1
,UN_CS
andUN_UN
options added to theCOVARIANCE_TYPE
keyword on theDATA_STRUCTURE
subcommand.
Example
GENLINMIXED
/FIELDS TARGET=y1.