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
Since the latest update of moremata is required, you may also want to type
Furthermore, dstat calls coefplot when drawing graphs. To install or update coefplot, type
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
- density estimation
- histograms
- cumulative distribution functions
- probability distributions
- quantile functions
- Lorenz curves
- percentile shares
- classical and robust measures of location, scale, skewness, and kurtosis
- inequality and poverty measures
- 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
Code:
. ssc install dstat
Code:
. ssc install moremata, replace
Code:
. ssc install coefplot, replace
ben
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