lowerT {marp}

An utility function to calculate upper limit of T statistic

Description

An utility function to calculate upper limit of T statistic

Usage

lowerT(low, hat, sigmasq, Tstar, weights, B, alpha)

Arguments

low

lower limit

hat

estimates

sigmasq

variance

Tstar

T statistics estimated from bootstrap samples

weights

model weights

B

number of bootstraps

alpha

confidence level

Value

returns upper limit of T-statistic

Examples

# set some parameters
low <- 100 # lower bound
hat <- rep(150, 6) # estimates obtained from each model
sigmasq <- 10 # variance
Tstar <- matrix(rep(100,600),6,100) # T statistics estimated from bootstrap samples
weights <- rep(1/6, 6) # model weights
B <- 100 # number of bootstrapped samples
alpha <- 0.05 # confidence level

# calculate the upper limit of T statistics
res <- marp::lowerT(low, hat, sigmasq, Tstar, weights, B, alpha)

# print result
cat("res = ", res, "\n")