Thanks to Kit Baum, a new package called dstat is available from the SSC Archive. dstat unites a variety of methods to describe (univariate) statistical distributions. Covered are
  • density estimation
  • histograms
  • cumulative distribution functions
  • probability distributions
  • quantile functions
  • Lorenz curves
  • percentile shares
and a large collection of summary statistics such as
  • classical and robust measures of location, scale, skewness, and kurtosis
  • inequality and poverty measures
Particular features of the command are
  • consistent standard errors supporting complex sample designs for all covered statistics
  • simultaneous analysis of multiple variables across multiple subpopulations
  • covariate balancing based on reweighting techniques (inverse probability weighting and entropy balancing), including appropriate correction of standard errors
  • generating influence functions (or recentered influence functions) for further analysis, e.g. in a RIF regression
To install the package, type

Code:
. ssc install dstat
Since the latest update of moremata is required, you may also want to type

Code:
. ssc install moremata, replace
Furthermore, dstat calls coefplot when drawing graphs. To install or update coefplot, type

Code:
. ssc install coefplot, replace
Writing dstat was low hanging fruit after having developed reldist (see https://ideas.repec.org/p/bss/wpaper/37.html). However, consider this as a beta release. The code is complex and long (a bit more than 6000 lines) and I certainly did not catch all bugs in my tests. If you encounter any issues, please let me know (either via email or by posting an issue at https://github.com/benjann/dstat).

ben