.em_est |
Compute gene set enrichment estimates. |
.enrich_bootstrap_se |
Compute bootstrap standard errors for alpha MLEs. |
.enrich_res |
Compute gene set enrichment estimates with standard errors. |
.logistic_em |
A fixed-point mapping for the expectation-maximization algorithm. Used as an argument for fixptfn in the squarem function. |
.logistic_em_nopseudo |
Similar to logistic_em(), but does not use pseudocounts to stablize the algorithm. |
.logistic_loglik |
A log likelihood function for the expectation-maximization algorithm. Used as an argument for objfn in the squarem function. |
.pi1_fun |
Estimate pi1 from TWAS scan z-scores. |
expit |
Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid. |
fdr_rst |
Bayesian FDR control for INTACT output |
gene_set_list |
Simulated gene set list. |
hybrid |
Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid. |
intact |
Compute the posterior probability that a gene may be causal, given a gene's TWAS scan z-score (or Bayes factor) and colocalization probability. |
intactGSE |
Perform gene set enrichment estimation and inference, given TWAS scan z-scores and colocalization probabilities. |
linear |
Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid. |
simdat |
Simulated TWAS and colocalization summary data. |
step |
Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid. |