Transform the standard error of `x`

to standard error of `log(x)`

.

`se_log(x, se, method = c("mc", "delta"), nsim = 5000, bounds = c(0, Inf))`

## Arguments

- x
An estimate

- se
Standard error of `x`

- method
The `"delta"`

method uses a Taylor series approximation; the default method, `"mc"`

, uses a simple monte carlo method.

- nsim
Number of draws to take if `method = "mc"`

.

- bounds
Lower and upper bounds for the variable, used in the monte carlo method. Must be a length-two numeric vector with lower bound greater than or equal to zero (i.e. `c(lower, upper)`

as in default `bounds = c(0, Inf)`

.

## Value

Numeric vector of standard errors

## Details

The delta method returns `x^(-1) * se`

. The monte carlo method is detailed in the examples section.

## Examples

```
data(georgia)
x = georgia$college
se = georgia$college.se
lse1 = se_log(x, se)
lse2 = se_log(x, se, method = "delta")
plot(lse1, lse2); abline(0, 1)
# the monte carlo method
x = 10
se = 2
z = rnorm(n = 20e3, mean = x, sd = se)
l.z = log(z)
sd(l.z)
se_log(x, se, method = "mc")
se_log(x, se, method = "delta")
```