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stephenslab
/
udr
R package implementing empirical Bayes methods for multivariate normal means.
https://stephenslab.github.io/udr
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Error in test in test_ud_fit.R
#23
pcarbo
closed
5 months ago
2
interface with mashr
#22
stephens999
opened
6 months ago
2
extracting covariances
#21
stephens999
opened
6 months ago
5
default penalty
#20
stephens999
opened
6 months ago
2
Vignette notation discrepancy
#19
yunqiyang0215
opened
1 year ago
6
vignette does not use correct V
#18
stephens999
opened
1 year ago
4
Update fit$loglik
#17
pcarbo
closed
1 year ago
2
Documentation for NA option in control parameters.
#16
eweine
opened
2 years ago
0
Data transformation
#15
yunqiyang0215
closed
1 year ago
0
scaled vs canonical
#14
stephens999
opened
2 years ago
5
Numerical issues in data transformation
#13
yunqiyang0215
closed
1 year ago
3
scaled_fa update: s beomces zero
#12
yunqiyang0215
opened
2 years ago
12
avoid repeated computation of Q for scaled updates
#11
stephens999
closed
2 years ago
4
Convergence criterion
#10
fmorgante
closed
3 years ago
1
Column / row names for U matrices and names for weights returned
#9
gaow
closed
3 years ago
0
Update for general V
#8
yunqiyang0215
closed
3 years ago
0
add rank1/scale update for common V
#7
yunqiyang0215
closed
3 years ago
0
defaults should depend on whether V is constant (matrix) or different for each observations (list of matrices)
#6
stephens999
closed
3 years ago
1
How to deal with zero or near-zero mixture weights?
#5
pcarbo
opened
3 years ago
5
"Un-hide" mvebnm settings update.U, update.S and update.w
#4
pcarbo
closed
3 years ago
0
Move "verbose" option into "control" argument
#3
pcarbo
closed
3 years ago
1
Provide default setting of k
#2
pcarbo
closed
3 years ago
0
Support for different S for each row of data
#1
gaow
closed
3 years ago
7