zscore ci level

[graceannobrien]

Logic for .ci and .zscore arguments is confusing: User can only input 90 or 95% CI, else user has to provide z-score AND CI. A user could input mismatching .ci and .zscore (i.e. ci 80 and z-score 1.96) and function would allow that

define_param_table(.estimates = paramEstimatePath, .key = paramKeyPath, .ci = 95) 
define_param_table(.estimates = paramEstimatePath, .key = paramKeyPath, .ci = 90) 
define_param_table(.estimates = paramEstimatePath, .key = paramKeyPath, .ci = 80, .zscore = 1.282)

Proposal:

• allow user to input .ci OR .zscore and function will calculate the other one. Seems likely most users will use .ci.
• if user provides both, function will check that they match

Concerns:

• Can we always assume users will want to use two-tailed z-score?