bootci_coeff_binary: Bootstrap samples to estimate confidence intervals for binary...

In tvmediation: Time Varying Mediation Analysis

Bootstrap samples to estimate confidence intervals for binary outcome coefficients.

Description

Internal function for estimating bootstrapped confidence intervals for the coefficients of the mediation model for a binary outcome.

Usage

bootci_coeff_binary(
  treatment,
  t.seq,
  m,
  outcome,
  span = 0.75,
  replicates = 1000
)

Arguments

treatment	a vector indicating treatment group
t.seq	a vector of unique time points for each observation
m	matrix of mediator values in wide format
outcome	matrix of outcome values in wide format
span	Numeric value of the span to be used for LOESS regression. Default = 0.75.
replicates	Number of replicates for bootstrapping confidence intervals. Default = 1000.

Value

t.seq	time points of estimation
CI.lower.a	CI lower limit for alpha_hat
CI.upper.a	CI upper limit for alpha_hat
CI.lower.g	CI lower limit for gamma_hat
CI.upper.g	CI upper limit for gamma_hat
CI.lower.b	CI lower limit for beta_hat
CI.upper.b	CI upper limit for beta_hat
CI.lower.t	CI lower limit for tau_hat
CI.upper.t	CI upper limit for tau_hat

tvmediation documentation built on May 25, 2022, 9:05 a.m.