issues
search
jepusto
/
metaselection
Meta-analytic p-value selection models with cluster-robust and cluster-bootstrap standard errors
GNU General Public License v3.0
4
stars
0
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Added practice_facilitation dataset from Baskerville et al. (2012).
#31
jepusto
closed
3 days ago
0
Add data citations through bibtex references
#30
jepusto
opened
3 days ago
0
Add a function for computing probabilities of observing p-values in specific ranges
#29
jepusto
opened
1 week ago
0
Add a reference level argument to `selection_wts()`
#28
jepusto
closed
1 week ago
0
Add a function that calculates number of missing studies
#27
jepusto
opened
1 week ago
0
Add a function that returns inverse selection weights
#26
jepusto
closed
1 week ago
1
Add a `predict` method
#25
jepusto
opened
1 week ago
0
Add a `loglik` method
#24
jepusto
closed
1 week ago
1
Add step function labels in summary.selmodel()
#23
jepusto
opened
1 week ago
0
Add rationale for not including p-values
#22
jepusto
opened
1 week ago
0
Change defaults in print.selmodel() and summary.selmodel()
#21
jepusto
closed
1 week ago
0
Consider adding a `vi` argument in addition to `sei`
#20
jepusto
opened
1 week ago
0
Split vignette into two?
#19
jepusto
opened
2 weeks ago
0
Add conclusion to vignette
#18
jepusto
opened
2 weeks ago
0
Add full documentation for r_meta()
#17
meghapsimatrix
closed
4 weeks ago
0
Added the Brunmair and Richter data
#16
meghapsimatrix
closed
4 weeks ago
1
Edited print and added summary
#15
meghapsimatrix
closed
1 month ago
0
Check that bootstraps come out in the right order
#14
jepusto
closed
1 month ago
0
Added empirical data and examples and edited documentation
#13
meghapsimatrix
closed
1 month ago
0
future.apply and progressr
#12
jepusto
closed
1 month ago
0
Add example for selection_plot().
#11
jepusto
closed
1 month ago
1
Add example for selection_wts().
#10
jepusto
closed
1 month ago
0
Add example for n_ES_empirical().
#9
jepusto
closed
1 month ago
0
`plot()` method for `selmodel` objects?
#8
jepusto
closed
1 month ago
0
`print()` and `summary()` methods for `selmodel` objects
#7
jepusto
closed
1 month ago
2
Minimize dependencies in vignette
#6
jepusto
closed
1 month ago
0
Document all functions
#5
jepusto
closed
1 month ago
0
remove rootSolve
#4
jepusto
closed
1 month ago
0
Github action for unit tests
#3
jepusto
closed
1 month ago
5
Provide option for model-based standard errors in selection_model()
#2
jepusto
closed
1 month ago
0
In numerical derivative unit test functions, allow for models with predictors
#1
jepusto
opened
2 months ago
0