metrics: Metadata on metrics
In dynverse/dyneval: Evaluating trajectory inference methods
Description
Also contained are:
Ways of rendering the metrics
Categorisation of the metrics
The perfect and worst possible scores (if possible to determine beforehand)
Whether the metric is symmetric (i.e. whether flipping the order of trajectories would change the expected value of the metric)
Usage
1
Format
An object of class tbl_df (inherits from tbl, data.frame) with 19 rows and 10 columns.
dynverse/dyneval documentation built on May 25, 2019, 4:25 p.m.
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Description
Also contained are:
Ways of rendering the metrics
Categorisation of the metrics
The perfect and worst possible scores (if possible to determine beforehand)
Whether the metric is symmetric (i.e. whether flipping the order of trajectories would change the expected value of the metric)
Usage
1 |
Format
An object of class tbl_df (inherits from tbl, data.frame) with 19 rows and 10 columns.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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