R/statpsych2.R
ci.lc.gen.bs.Rd
Computes the estimate, standard error, and approximate confidence interval for a linear contrast of any type of parameter (e.g., quartile, ordinal regression slope, path coefficient, G-index) where each parameter value has been estimated from a different sample. The parameter vaues are assumed to be of the same type (e.g., all unstandardized path coefficients) and their sampling distributions are assumed to be approximately normal.
ci.lc.gen.bs(alpha, est, se, v)
alpha level for simultaneous 1-alpha confidence
vector of parameter estimates
vector of standard errors
vector of contrast coefficients
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