`R/RcppExports.R`

`average_posterior_prob_list.Rd`

Average of posterior probabilities: Hn, Ha and Hc from list (memory intensive)

```
average_posterior_prob_list(
params,
lbf_mat,
nsnps,
covar_vec,
nits,
thin,
covar = FALSE
)
```

- params
Vector of parameters: \(\alpha\), \(\beta\) and \(\gamma\)

- lbf_mat
matrix of log bayes factors: lBF.Ha and lBF.Hc

- nsnps
number of snps

- covar_vec
Vector of the covariate

- nits
Number of iterations run in mcmc

- thin
thinning

- covar
logical: was the covariate inflormation used? default: False

matrix with average of all the posterior probabilities: Hn, Ha and Hc