transformCI: Compute Confidence Intervals using a transformation
In bozenne/riskRegressionLight: Light version of the package riskRegression

Compute confidence intervals using a transformation. The resulting confidence interval is returned on the original case (i.e. back-transformed).

1	transformCI(estimate, se, quantile, type, min.value, max.value)

`estimate`	[numeric matrix] the estimate value before transformation.
`se`	[numeric matrix] the standard error after transformation.
`quantile`	[numeric vector] quantile that will be multiplied to each column of `se`.
`type`	[character] the transforamtion. Can be `"log"`, `"loglog"`, `"cloglog"`, or `"atanh"` (Fisher transform).
`min.value`	[numeric] if not `NULL` and the lower bound of the confidence interval is below `min`, it will be set at `min`.
`max.value`	[numeric] if not `NULL` and the lower bound of the confidence interval is below `max`, it will be set at `max`.