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; prediction |
neb.train |
Nonparametric empirical Bayes classifier without annotations; training |
nebula.bin.predict |
Nonparametric empirical Bayes classifier using latent annotations: binary indicators; prediction |
nebula.bin.train |
Nonparametric empirical Bayes classifier using latent annotations: binary indicators; training |
nebula.chisq.bin.predict |
Nonparametric empirical Bayes classifier using latent annotations: chi-square test statistics and binary indicators; prediction |
nebula.chisq.bin.train |
Nonparametric empirical Bayes classifier using latent annotations: chi-square test statistics and binary indicators; training |
nebula.chisq.predict |
Nonparametric empirical Bayes classifier using latent annotations: chi-square test statistics; prediction |
nebula.chisq.train |
Nonparametric empirical Bayes classifier using latent annotations: chi-square test statistics; training |
nebula.predict |
Nonparametric empirical Bayes classifier using latent annotations: wrapper function; predict |
nebula.train |
Nonparametric empirical Bayes classifier using latent annotations: wrapper function; training |
nfsdr |
Nonparametric false simultaneous discovery rate control |
nfsdr2 |
Nonparametric false simultaneous discovery rate control, two thresholds |
nfsdr2_all |
Nonparametric false simultaneous discovery rate control, two thresholds - report all thresholds |
prs.predict |
Polygenic risk score; prediction |
prs.predict.cv |
Polygenic risk score; prediction for classifier trained with CV |
prs.train |
Polygenic risk score (given only allele frequencies); training |
prs.train.cv |
Polygenic risk score (given only allele frequencies); training with CV |
tri.npmle |
Trivariate NPMLE |
uni.npmle |
Univariate NPMLE |