Description Usage Arguments Value
Use Gibbs sampling to update the inclusion indicator of all covariates in the exposure and outcome models.
1 2 | UpdateAlphas(dta, cov_cols, current_cutoffs, current_alphaY, current_coefs,
current_vars, mu_priorX, Sigma_priorX, mu_priorY, Sigma_priorY, omega)
|
dta |
A data set including a column of the exposure of interest as X, the outcome of interest as Y, and all potential confounders as C1, C2, ... |
cov_cols |
The indices of the columns in dta corresponding to the potential confounders. |
current_cutoffs |
Numeric of length K. The current values for the points in the experiment configuraiton. |
current_alphaY |
Matrix of 0/1 entries. Rows correspond to experiments, and columns to covariate. Entries 0/1 represent exclusion/inclusion of the covaraite in the corresponding outcome model. |
current_coefs |
The current coefficients of the MCMC. Three dimensional array with dimensions corresponding to exposure/outcome model, experiment, and coefficients (intercept, slope, covariates). |
current_vars |
Matrix. Rows correspond to exposure/outcome model, and columns to experiments. Entries are the current variances. |
mu_priorX |
The mean of the normal prior on the coefficients of the exposure model. Numeric vector of length equal to the number of potential confounders + 1 with the first entry corresponding to the intercept. |
Sigma_priorX |
Covariance matrix of the normal prior on the regression coefficients of the exposure model. |
mu_priorY |
The mean of the normal prior on the coefficients of the outcome model. Numeric vector with entries corresponding to intercept, slope of exposure, and potential covariates. |
Sigma_priorY |
The covariance matrix of the normal prior on the regression coefficients of the outcome model. |
omega |
The omega of the BAC prior. |
Array of the inclusion indicators where the dimensions correspond to the exposure/outcome model, experiment and covariates.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.