Computes the estimate, standard error, and approximate confidence interval
for a linear contrast of any type of parameter where each parameter value has
been estimated from a different sample. The parameter values are assumed to
be of the same type and their sampling distributions are assumed to be
approximately normal.
Usage
ci.lc.gen.bs(alpha, est, se, v)
Arguments
- alpha
alpha level for 1-alpha confidence
- est
vector of parameter estimates
- se
vector of standard errors
- v
vector of contrast coefficients
Value
Returns a 1-row matrix. The columns are:
Estimate - estimate of linear contrast
SE - standard error of linear contrast
LL - lower limit of confidence interval
UL - upper limit of confidence interval
Examples
est <- c(3.86, 4.57, 2.29, 2.88)
se <- c(0.185, 0.365, 0.275, 0.148)
v <- c(.5, .5, -.5, -.5)
ci.lc.gen.bs(.05, est, se, v)
#> Estimate SE LL UL
#> 1.63 0.2573806 1.125543 2.134457
# Should return:
# Estimate SE LL UL
# 1.63 0.2573806 1.125543 2.134457