The following pages link to caTools (Q24868):
Displaying 42 items.
- gplots (Q16726) (← links)
- meta4diag (Q27572) (← links)
- RSelenium (Q29659) (← links)
- RTextTools (Q33004) (← links)
- m2b (Q39095) (← links)
- BayesPostEst (Q43226) (← links)
- GAMens (Q44372) (← links)
- DriveML (Q44575) (← links)
- CSMES (Q44900) (← links)
- flux (Q46103) (← links)
- nonlinearICP (Q52413) (← links)
- mmaqshiny (Q55314) (← links)
- (Q58763) (redirect page) (← links)
- numbat (Q58781) (← links)
- FuzzyClass (Q71749) (← links)
- convergEU (Q74807) (← links)
- opGMMassessment (Q76205) (← links)
- opdisDownsampling (Q79573) (← links)
- azlogr (Q81408) (← links)
- MBMethPred (Q85439) (← links)
- eseis (Q87159) (← links)
- iglu (Q89257) (← links)
- OpenSpecy (Q103747) (← links)
- MIMSunit (Q104962) (← links)
- alookr (Q105711) (← links)
- cape (Q108132) (← links)
- hyperbrick (Q111983) (← links)
- ImpactEffectsize (Q114621) (← links)
- SAFARI (Q129427) (← links)
- R2Addhaz (Q138913) (← links)
- factset.analyticsapi.engines (Q140877) (← links)
- EMMAgeo (Q141758) (← links)
- CondIndTests (Q142697) (← links)
- GCalcium (Q146504) (← links)
- DNLC (Q155175) (← links)
- pheble (Q159837) (← links)
- Isotonic boosting classification rules (Q2036157) (← links)
- ROC and AUC with a binary predictor: a potentially misleading metric (Q2220698) (← links)
- Component-wise AdaBoost algorithms for high-dimensional binary classification and class probability prediction (Q3295738) (← links)
- Sample size and performance estimation for biomarker combinations based on pilot studies with small sample sizes (Q5093735) (← links)
- Data Mining with Rattle and R (Q5199002) (← links)
- Machine Learning Using R (Q5233756) (← links)
