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Add intended audience
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nunofachada committed Jan 31, 2018
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5 changes: 4 additions & 1 deletion README.md
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Expand Up @@ -13,7 +13,10 @@ number of statistical methods. This technique is independent of the
distributional properties of samples and automatically selects features that
best explain their differences, avoiding manual selection of specific points or
summary statistics. The procedure is appropriate for comparing samples of time
series, images, spectrometric measures or similar multivariate observations.
series, images, spectrometric measures or similar multivariate observations. It
is aimed at researchers from all fields of science, although it requires some
knowledge on design of experiments, statistical testing and multidimensional
data analysis.

Follow _micompm_'s [User Guide] to get started.

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4 changes: 3 additions & 1 deletion docs/userguide.md
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Expand Up @@ -43,7 +43,9 @@ technique is independent of the distributional properties of samples and
automatically selects features that best explain their differences, avoiding
manual selection of specific points or summary statistics. The procedure is
appropriate for comparing samples of time series, images, spectrometric
measures or similar multivariate observations.
measures or similar multivariate observations. It is aimed at researchers from
all fields of science, although it requires some knowledge on design of
experiments, statistical testing and multidimensional data analysis.

If you use _micompm_, please cite reference [\[2\]][ref2].

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4 changes: 3 additions & 1 deletion docs/userguide.mdpp
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Expand Up @@ -21,7 +21,9 @@ technique is independent of the distributional properties of samples and
automatically selects features that best explain their differences, avoiding
manual selection of specific points or summary statistics. The procedure is
appropriate for comparing samples of time series, images, spectrometric
measures or similar multivariate observations.
measures or similar multivariate observations. It is aimed at researchers from
all fields of science, although it requires some knowledge on design of
experiments, statistical testing and multidimensional data analysis.

If you use _micompm_, please cite reference [\[2\]][ref2].

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6 changes: 4 additions & 2 deletions paper.md
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Expand Up @@ -20,7 +20,7 @@ affiliations:
index: 1
- name: Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Universidade de Lisboa
index: 2
date: 22 September 2017
date: 31 January 2018
bibliography: paper.bib
---

Expand All @@ -38,6 +38,8 @@ independent of the distributional properties of samples and automatically
selects features that best explain their differences, avoiding manual selection
of specific points or summary statistics. The procedure is appropriate for
comparing samples of time series, images, spectrometric measures or similar
multivariate observations.
multivariate observations. It is aimed at researchers from all fields of
science, although it requires some knowledge on design of experiments,
statistical testing and multidimensional data analysis.

# References

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