roi_mle_control: Generate a list of parameters controllong the stochastic...

In ammeir2/selectiveROI:

Description

Generate a list of parameters controllong the stochastic gradient process of the roiMLE function

Usage

roi_mle_control(grad_iterations = 2100, step_size_coef = 0.5,
  step_rate = 0.55, samp_per_iter = 20, grad_delay = NULL,
  assume_convergence = NULL, impute_boundary = c("smooth", "neighbors",
  "none", "mean"), mahal_weight = 0.2, RB_mult = 1)

Arguments

grad_iterations	the number of stochastic gradient steps to take
step_size_coef	step size coefficients for stochastic gradient step. Best left unchanged.
step_rate	the rate at which the stochastic gradient steps size should decrease as a function of the number of steps already taken.
samp_per_iter	the number of slice MH samples to take for computing the stochastic gradient estimate in each stochastic gradient step
grad_delay	the number of iterations to wait before starting to decrease the stochastic gradient step size
assume_convergence	after how many gradient steps should we assume convergence? The final MLE estimate will be the average of the last grad_iterations - assume_convergence estimates
impute_boundary	the boundary imputation method to use. See description for details
RB_mult	adjusts the Robins-Monroe step sizes when computing profile-likelihood confidence intervals.

ammeir2/selectiveROI documentation built on March 16, 2020, 1:30 a.m.