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seonghobae
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kaefa
# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
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Fix empirical histogram method
#22
seonghobae
closed
6 years ago
0
Applying FIt Dist R Plus?
#21
seonghobae
opened
6 years ago
0
Modify the random effect variable set criteria
#20
seonghobae
closed
6 years ago
0
DIF
#19
seonghobae
closed
6 years ago
1
Add start time information
#18
seonghobae
closed
6 years ago
1
Support the auto combination of numeric variables
#17
seonghobae
closed
6 years ago
0
Detect remote cluster OS via SSH
#16
seonghobae
opened
6 years ago
0
Power up the Auto rotation
#15
seonghobae
closed
6 years ago
1
Add ticktock
#14
seonghobae
closed
6 years ago
1
Improving remote clustering
#13
seonghobae
closed
6 years ago
1
Add the Automated decision of rotation criteria
#12
seonghobae
closed
6 years ago
0
support MPI
#11
seonghobae
closed
6 years ago
12
Nonparametric randomized resampling for traditional sample based approach of Factoring concepts
#10
seonghobae
closed
6 years ago
3
make test for parallelism works on GCE
#9
seonghobae
closed
6 years ago
2
compile issue on macOS
#8
seonghobae
closed
6 years ago
2
make more faster
#7
seonghobae
closed
6 years ago
2
Add ‘pickGlobalOptimal’ function
#6
seonghobae
closed
6 years ago
2
Add explain this algorithm is “Greedy search algorithm”
#5
seonghobae
opened
6 years ago
3
code coverage
#4
seonghobae
closed
6 years ago
2
spell check
#3
seonghobae
opened
6 years ago
0
construct testthat
#2
seonghobae
closed
6 years ago
1
add shiny environment
#1
seonghobae
opened
6 years ago
0