| bi.npmle | Bivariate NPMLE |
| expit | Expit function |
| ldd | Latent dependency detection |
| logit | Logit function |
| maxtest | Max test for detecting simultaneous signals |
| neb.predict | Nonparametric empirical Bayes classifier without annotations;... |
| neb.train | Nonparametric empirical Bayes classifier without annotations;... |
| nebula.bin.predict | Nonparametric empirical Bayes classifier using latent... |
| nebula.bin.train | Nonparametric empirical Bayes classifier using latent... |
| nebula.chisq.bin.predict | Nonparametric empirical Bayes classifier using latent... |
| nebula.chisq.bin.train | Nonparametric empirical Bayes classifier using latent... |
| nebula.chisq.predict | Nonparametric empirical Bayes classifier using latent... |
| nebula.chisq.train | Nonparametric empirical Bayes classifier using latent... |
| nebula.predict | Nonparametric empirical Bayes classifier using latent... |
| nebula.train | Nonparametric empirical Bayes classifier using latent... |
| nfsdr | Nonparametric false simultaneous discovery rate control |
| nfsdr2 | Nonparametric false simultaneous discovery rate control, two... |
| nfsdr2_all | Nonparametric false simultaneous discovery rate control, two... |
| prs.predict | Polygenic risk score; prediction |
| prs.predict.cv | Polygenic risk score; prediction for classifier trained with... |
| prs.train | Polygenic risk score (given only allele frequencies);... |
| prs.train.cv | Polygenic risk score (given only allele frequencies);... |
| tri.npmle | Trivariate NPMLE |
| uni.npmle | Univariate NPMLE |
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