hbmr_data


This is an example dataset consisting of continuous traits for the hbmr function.


datasets

Provides two Bayesian models for detecting the association between rare genetic variants and a trait that can be continuous, ordinal or binary. Bayesian latent variable collapsing model (BLVCM) detects interaction effect and is dedicated to twin design while it can also be applied to independent samples. Hierarchical Bayesian multiple regression model (HBMR) incorporates genotype uncertainty information and can be applied to either independent or family samples. Furthermore, it deals with continuous, binary and ordinal traits.

Liang He

BMRV

Bayesian Models for Rare Variant Association Analysis

hbmr_data function

The format is:
List of 3
 $ pheno_data: num [1:600] -0.255 0.398 2.982 1.361 -0.165 ...
 $ geno_data : num [1:600, 1:50] 1 0 0 0 0 0 0 0 0 0 ...
 $ qual_data : num [1:600, 1:50] 5 5 5 99 99 99 99 99 99 99 ...

hbmr_data: Example data for HBMR

Description

Usage

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Format

Examples