BACps-internal: Internal BACps functions

In pablogonzalezginestet/BACps: Bayesian Adjustment for Confouding in Bayesian Propensity Score

Description

Internal BACps helper functions for the 1st Stage

Usage

logL(N, y, U, alpha, delta)

MH.delta(
  N,
  y,
  U,
  delta0,
  alpha0,
  delta.mle.model.alpha0,
  delta.cov.model.alpha0
)

MH.alpha.s1_a(N, y, U, alpha0, alpha1, delta0, delta_t_1, q_delta_j)

MH.alpha.s1_b(N, y, U, alpha0, alpha1, delta0, delta_t_1, q_delta_j)

MH.delta.intercept(N, y, U, alpha0, delta0)

countpattern(x, matching = FALSE)

logL_PS(x, U, alphaX, gamma)

logL_Outcome(y, x, U, alphaX, gamma, Yparams)

## S3 method for class 'params'
update(
  y,
  x,
  U,
  gamma_mle,
  gamma_cov,
  outcome_mle,
  outcome_cov,
  nparams,
  ngamma_t,
  params_t,
  alphaX,
  likhood_t
)

## S3 method for class 'params_when_alpha_0'
update(y, x, U, nparams, ngamma_t, params_t, alphaX, likhood_t)

updatemodel(N, p, y, x, U, ngamma_t, params_t, alphaX_t, likhood_t, MX.nsims)

Details

These functions are not intended for use by users.

pablogonzalezginestet/BACps documentation built on Dec. 22, 2021, 5:22 a.m.