issues
search
jeffwong
/
imputation
R package for data imputation. Fills missing values in a numeric matrix
38
stars
24
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
This package is no longer on CRAN
#19
mgcdanny
opened
9 years ago
0
Could you please add the References for lmImpute() "locally weighted least squares regression against the row number"?
#18
randel
opened
10 years ago
0
tsImpute should accept a vector as the metric variable
#17
jeffwong
opened
11 years ago
0
Should imputation methods standardize the input matrix first?
#16
jeffwong
opened
11 years ago
0
Error: kNNImpute() fails if only 1 row contains missing
#15
mhische-md
opened
11 years ago
1
Error: "new columns would leave holes"
#14
jakeofspades
closed
11 years ago
3
R dimension dropping leads to bugs in imputation
#13
berndbischl
closed
11 years ago
1
Fixes incorrect index computation in .dist.2dto1d
#12
jmarshallnz
closed
11 years ago
1
kNN producing all 0s on imputed data
#11
jeffwong
closed
11 years ago
1
kNN should use weighted mean, not simple mean
#10
jeffwong
closed
11 years ago
1
reimplement kNN using Rcpp
#9
jeffwong
opened
11 years ago
0
implement cross imputation
#8
jeffwong
opened
11 years ago
0
for n large pdist creates too much overhead
#7
jeffwong
closed
11 years ago
1
pdist can't handle NAs in data
#6
jeffwong
closed
11 years ago
1
switch cv error metric to RMSE
#5
jeffwong
closed
11 years ago
0
implement kmeans imputation
#4
jeffwong
opened
12 years ago
0
implement time series imputation
#3
jeffwong
closed
11 years ago
1
Incorrect implementation of SVTImpute
#2
jeffwong
closed
11 years ago
0
cross validation error for rows with 0s
#1
jeffwong
closed
11 years ago
1