tbinom_backtrans {multibridge} | R Documentation |
Backtransforms Samples From Real Line To Beta Parameters
Description
Transforms samples from the real line to samples from a truncated beta density using a stick-breaking algorithm. This algorithm is suitable for mixtures of equality constrained parameters, inequality constrained parameters, and free parameters
Usage
tbinom_backtrans(xi_mat, boundaries, binom_equal, hyp_direction)
Arguments
xi_mat |
matrix with samples from truncated beta density. These samples should be transformed, so they range over the entire real line |
boundaries |
list containing indices for upper and lower truncation boundaries |
binom_equal |
multiplicative elements for each lower and upper bound of each inequality constrained parameter. |
hyp_direction |
specifies whether the imposed inequality constrained imposes an increasing (i.e., 'smaller') or decreasing (i.e., 'larger') trend |
Value
list consisting of the following elements: (1) theta_mat: matrix with transformed samples (2) lower_mat: matrix containing the lower bound for each parameter (3) upper_mat: matrix containing the upper bound for each parameter