-
[2023.8.28]:
- Implemented
pairwise_partial_correlation_with_basis_shrinkage
using approaches from Erb et al. 2020 and Jin et al. 2022 - Added
correlation_to_partial_correlation
andconvariance_to_correlation
functions. - Added
checks
topairwise_aitchison_distance
- Added
is_integer_or_proportional
tocheck_compositional
- Implemented
-
[2023.8.5]:
- Implemented
pairwise_aitchison_distance
- Reimplemented
plot_compositional
(i.e.,plot_compositions
now) andplot_prevalence
fromsoothsayer
- Implemented
-
[2023.7.20] - Added the following functions:
assert_acceptable_arguments
check_compositional
sparsity
number_of_components
prevalence_of_components
transform_closure
filter_data_highpass
-
[2022.8.31] - Added support for Python v3.10
-
Metrics:
- Implement
compositional_maximum_entropy
(Weistuch et al. 2022)
- Implement
-
Plotting: (Optional:
matplotlib
&seaborn
)- Simplex plots
-
Misc:
- Weight components (e.g. gene size)