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`results = compare(lme,altlme)`

`results = compare(___,Name,Value)`

```
[results,siminfo]
= compare(lme,altlme,'NSim',nsim)
```

```
[results,siminfo]
= compare(___,Name,Value)
```

returns
the results of a likelihood
ratio test that compares the linear mixed-effects models `results`

= compare(`lme`

,`altlme`

)`lme`

and `altlme`

.
Both models must use the same response vector in the fit and `lme`

must
be nested in `altlme`

for a valid theoretical likelihood
ratio test. Always input the smaller model first, and the larger model
second.

`compare`

tests the following null and alternate
hypotheses:

*H*_{0}: Observed response
vector is generated by `lme`

.

*H*_{1}: Observed response
vector is generated by model `altlme`

.

It is recommended that you fit `lme`

and `altlme`

using
the maximum likelihood (ML) method prior to model comparison. If you
use the restricted maximum likelihood (REML) method, then both models
must have the same fixed-effects design matrix.

To test for fixed effects, use `compare`

with
the simulated
likelihood ratio test when `lme`

and `altlme`

are
fit using ML or use the `fixedEffects`

, `anova`

,
or `coefTest`

methods.

also
returns the results of a likelihood ratio test that compares linear
mixed-effects models `results`

= compare(___,`Name,Value`

)`lme`

and `altlme`

with
additional options specified by one or more `Name,Value`

pair
arguments.

For example, you can check if the first input model is nested in the second input model.

`[`

returns
the results of a simulated likelihood ratio test that compares linear
mixed-effects models `results`

,`siminfo`

]
= compare(`lme`

,`altlme`

,'NSim',`nsim`

)`lme`

and `altlme`

.

You can fit `lme`

and `altlme`

using
ML or REML. Also, `lme`

does not have to be nested
in `altlme`

. If you use the restricted maximum likelihood
(REML) method to fit the models, then both models must have the same
fixed-effects design matrix.

`[`

also
returns the results of a simulated likelihood ratio test that compares
linear mixed-effects models `results`

,`siminfo`

]
= compare(___,`Name,Value`

)`lme`

and `altlme`

with
additional options specified by one or more `Name,Value`

pair
arguments.

For example, you can change the options for performing the simulated
likelihood ratio test, or change the confidence level of the confidence
interval for the * p*-value.

[1] Hox, J. *Multilevel Analysis, Techniques and
Applications*. Lawrence Erlbaum Associates, Inc., 2002.

[2] Stram D. O. and J. W. Lee. "Variance components
testing in the longitudinal mixed-effects model". *Biometrics*,
Vol. 50, 4, 1994, pp. 1171–1177.

`anova`

| `covarianceParameters`

| `fitlme`

| `fitlmematrix`

| `fixedEffects`

| `LinearMixedModel`

| `randomEffects`

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