######################################################################################################################
# Function: FixedSeqAdj.CI
# Argument: p, Vector of p-values (1 x m)
# par, List of procedure parameters: vector of hypothesis weights (1 x m)
# Description: Fixed-sequence multiple testing procedure.
FixedSeqAdj.CI = function(est, par) {
# Number of point estimate
m = length(est)
# Extract the sample size
if (is.null(par[[2]]$n)) stop("Fixed-sequence procedure: Sample size must be specified (n).")
n = par[[2]]$n
# Extract the standard deviation
if (is.null(par[[2]]$sd)) stop("Fixed-sequence procedure: Standard deviation must be specified (sd).")
sd = par[[2]]$sd
# Extract the simultaneous coverage probability
if (is.null(par[[2]]$covprob)) stop("Fixed-sequence procedure: Coverage probability must be specified (covprob).")
covprob = par[[2]]$covprob
# Error checks
if (m != length(est)) stop("Fixed-sequence procedure: Length of the point estimate vector must be equal to the number of hypotheses.")
if (m != length(sd)) stop("Fixed-sequence procedure: Length of the standard deviation vector must be equal to the number of hypotheses.")
if (covprob>=1 | covprob<=0) stop("Fixed-sequence procedure: simultaneous coverage probability must be >0 and <1")
# Standard errors
stderror = sd*sqrt(2/n)
# T-statistics associated with each test
stat = est/stderror
# Compute degrees of freedom
nu = 2*(n-1)
# Compute raw one-sided p-values
rawp = 1-stats::pt(stat,nu)
# Compute the adjusted p-values
adjustpval = FixedSeqAdj(rawp, list("Analysis"))
# Compute the simultaneous confidence interval
alpha = 1-covprob
ci = rep(NA,m)
rejected = (adjustpval <= alpha)
if(all(rejected)){
# All null hypotheses are rejected
ci = min(est-stderror*stats::qnorm(1-alpha))
} else if(!any(rejected)){
# All null hypotheses are accepted
ci[1] = est[1]-stderror[1]*stats::qnorm(1-alpha)
} else if (any(rejected)){
# Some null hypotheses are accepted and some are rejected
last_rejected = utils::tail(which(rejected), n = 1)
ci[1:(last_rejected)] = 0
ci[last_rejected + 1] = est[last_rejected + 1]-stderror[last_rejected + 1]*stats::qnorm(1-alpha)
}
return(ci)
}
# End of FixedSeqAdj.CI
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