Comments (2)
Next steps:
- Write documentation for two_sample. The code is now implemented.
- Give another test, slightly more complicated. e.g. differences in the maxes of the two sets
from permute.
Closed by #85
from permute.
Related Issues (20)
- improve performance of npc
- Rats data example
- permutation p-values should never be zero HOT 2
- Lockstep permute in NPC HOT 1
- two-sided p-value is wrong
- raise error for 1-sided confidence bounds with confidence levels below 50%? HOT 1
- "Spearman correlation" should be "Pearson correlation" HOT 1
- Are the P values corrected? HOT 1
- cryptorandom causes AppVeyor build failure
- CIs for shift: brentq for confidence intervals finds *a* root, not necessarily the largest or smallest root
- CI for shift does not have a desired precision option: may cause brentq to thrash
- NPC: plusone and double-check P-values
- Wrong implementation in "two_sample_shift" when shift != 0. HOT 1
- Error in "hits = np.sum(dist >= tst)" in one_sample test HOT 1
- Significant results when comparing the same sample HOT 1
- use random_sample instead of shuffle
- Incorrect spearman correlation calculation (computation of rank) HOT 1
- multiple testing, FDR
- Review hypergeom_conf_interval
- Two-sided p-values HOT 1
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