I have discrete data from a continuous field.

The data probability distribution is not known, but it has only one peak value, what I guess is called “mode” of the pdf. The normalized histograms from the data look like skew normal distributions.

Is there any package that I could use that would straightforwardly give me an estimation for the most likely value of the pdf?

The function `mode`

from `Distributions`

module doesn’t seem to work for my purpose. It will output the most repeated value of my set, which most often doesn’t have any repeated values (data of float values).

So far I’ve been fitting a histogram using `StatsBase`

and manually tinkering with the number of bins and edges until I get a histogram whose bin is thin enough for me to “manually” visualise the possible value for the mode and the bin width is small relative to the value itself.

I was wondering if there is a more straightforward way to do that using any of the available packages out there.