qiime gneiss lme-regression (version 2019.4)

--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]:

--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, typically separated by '+'. For more information see https://patsy.readthedocs.io/en/latest/API-reference.ht ml [required]:

--p-groups: TEXT [required]:

--m-metadata-file [required]s

--m-metadata-file [required] 0

Simplicial Linear mixed effects regression

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.
metadata : Metadata: Metadata information that contains the covariates of interest.
formula : Str: 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, typically separated by "+". For more information see https://patsy.readthedocs.io/en/latest/API-reference.html
groups : Str

Returns

visualization : Visualization