`nonprob` and `se=FALSE`

[BERENZ]

If se=FALSE is provided in the nonprob function the resulting output and confidence_interval should be the same data.frames as if se=FALSE but it should contain NAs.

Current output:

> nonprob_example[c("output", "confidence_interval")]
$output
         mean
Y_11 1.860623
Y_12 6.945413

$confidence_interval
NULL

Desired output:

> nonprob_example[c("output", "confidence_interval")]
$output
         mean SE
Y_11 1.860623 NA
Y_12 6.945413 NA

$confidence_interval
     lower_bound upper_bound
Y_11          NA          NA
Y_12          NA          NA

[LukaszChrostowski]

DONE