confseq_ate_unadjusted: Unadjusted estimator

In WannabeSmith/drconfseq: Confidence sequences for the average treatment effect

Unadjusted estimator

Description

Unadjusted estimator

Usage

confseq_ate_unadjusted(
  y,
  treatment,
  t_opt,
  propensity_score = NULL,
  alpha = 0.05,
  times = NULL,
  lyapunov = FALSE
)

Arguments

y	The measured outcome (a real vector).
treatment	Whether the subject received treatment (a boolean vector or 0/1-valued integer vector).
t_opt	Time for which the CS should be tightest
propensity_score	The propensity scores ((0, 1)-valued reals or NULL). If left as NULL, this will be set to the (regularized) cumulative mean of 'treatment'. See 'cumul_mean' for more information.
alpha	Confidence level between 0 and 1 (real)
times	The times for which the doubly-robust variables should be calculated. Can be a vector of times (an integer vector) or a single time (integer). If left NULL, the variables will only be computed at time n.

WannabeSmith/drconfseq documentation built on Sept. 13, 2023, 3:05 a.m.