# lme-regression: Simplicial Linear mixed effects regression¶

#### Docstring:

Usage: qiime gneiss lme-regression [OPTIONS]

Build and run linear mixed effects model on balances. Use LME over OLS
when you have repeated measurements such as (timeseries).

WARNING:

This command is deprecated and will be removed in a future version of this
plugin.

Inputs:
--i-table ARTIFACT FeatureTable[Balance]
The feature table containing the samples in which
simplicial regression with mixed effect will be
performed.                                   [required]
--i-tree ARTIFACT    A hierarchy of feature identifiers where each tip
Hierarchy          corresponds to the feature identifiers in the table.
This tree can contain tip ids that are not present in
the table, but all feature ids in the table must be
present in this tree.                        [required]
Parameters:
(multiple          Metadata information that contains the covariates of
arguments will    interest.
be merged)                                                     [required]
--p-formula TEXT     Statistical formula specifying the statistical model.
In other words, a list of the metadata categories that
will be used in the linear mixed effect model,
ml                                           [required]
--p-groups TEXT                                                   [required]
Outputs:
--o-visualization VISUALIZATION
[required]
Miscellaneous:
--output-dir PATH    Output unspecified results to a directory
--verbose / --quiet  Display verbose output to stdout and/or stderr during
execution of this action. Or silence output if
execution is successful (silence is golden).
--citations          Show citations and exit.
--help               Show this message and exit.

#### Import:

from qiime2.plugins.gneiss.visualizers import lme_regression


#### Docstring:

Simplicial Linear mixed effects regression

.. deprecated::
This Visualizer is deprecated and will be removed in a future version of
this plugin.

Build and run linear mixed effects model on balances. Use LME over OLS when
you have repeated measurements such as (timeseries).

Parameters
----------
table : FeatureTable[Balance]
The feature table containing the samples in which simplicial regression
with mixed effect will be performed.
tree : Hierarchy
A hierarchy of feature identifiers where each tip corresponds to the
feature identifiers in the table. This tree can contain tip ids that
are not present in the table, but all feature ids in the table must be
present in this tree.
visualization : Visualization