Releases: mateuszbaran/CovarianceEstimation.jl
Releases · mateuszbaran/CovarianceEstimation.jl
v0.2.12
CovarianceEstimation v0.2.12
Merged pull requests:
- Add
WoodburyEstimator
for high dimensionality (#94) (@timholy) - Update docs (#95) (@mateuszbaran)
v0.2.11
CovarianceEstimation v0.2.11
Merged pull requests:
v0.2.10
CovarianceEstimation v0.2.10
Merged pull requests:
v0.2.9
CovarianceEstimation v0.2.9
Closed issues:
- Single precision support? (#82)
Merged pull requests:
- StatsBase 0.34 compat (#85) (@mateuszbaran)
v0.2.8
CovarianceEstimation v0.2.8
Merged pull requests:
v0.2.7
CovarianceEstimation v0.2.7
Closed issues:
- Biweight midcovariance as a CovarianceEstimator (#80)
Merged pull requests:
v0.2.6
CovarianceEstimation v0.2.6
Closed issues:
- UndefVarError: epanechnikov_HT2 not defined (#77)
Merged pull requests:
- change CompatHelper key (#75) (@mateuszbaran)
- CompatHelper key (#76) (@mateuszbaran)
- Add back epanechnikov_HT2 (#78) (@SebRollen)
v0.2.5
v0.2.4
CovarianceEstimation v0.2.4
Closed issues:
- Should we return
Symmetric
matrices? (#63) - Trouble in getting covariance matrices for complex data (#65)
Merged pull requests:
- fix for #63 (#64) (@tlienart)
- Install TagBot as a GitHub Action (#66) (@JuliaTagBot)
- Eliminate some allocations via replacing [:] with the nonallocating vec (#69) (@oxinabox)
- use fused broadcasting in core linshrink operation (#70) (@oxinabox)
- Reduce allocations in analytical_nonlinear_shrinkage (#71) (@oxinabox)
- CI updates (#72) (@mateuszbaran)