Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.

A graphical user interface for cross-sectional network modeling 
    with the 'statnet' software suite <https://github.com/statnet>.

Get programmatic access to data from the Czech public
    budgeting and accounting database, Státní pokladna
    <https://monitor.statnipokladna.gov.cz/>.

Statistical performance measures used in the econometric literature to evaluate conditional covariance/correlation matrix estimates (MSE, MAE, Euclidean distance, Frobenius distance, Stein distance, asymmetric loss function, eigenvalue loss function and the loss function defined in Eq. (4.6) of Engle et al. (2016) <doi:10.2139/ssrn.2814555>). Additionally, compute Eq. (3.1) and (4.2) of Li et al. (2016) <doi:10.1080/07350015.2015.1092975> to compare the factor loading matrix. The statistical performance measures implemented have been previously used in, for instance, Laurent et al. (2012) <doi:10.1002/jae.1248>,  Amendola et al. (2015) <doi:10.1002/for.2322> and  Becker et al. (2015) <doi:10.1016/j.ijforecast.2013.11.007>.

A small collection of data on graduate statistics programs from the United States.

Implements confidence interval and sample size methods that 
    are especially useful in psychological research. The methods can be 
    applied in 1-group, 2-group, paired-samples, and multiple-group designs
    and to a variety of parameters including means, medians, proportions, 
    slopes, standardized mean differences, standardized linear contrasts 
    of means, plus several measures of correlation and association. 
    Confidence interval and sample size functions are given for single 
    parameters as well as differences, ratios, and linear contrasts of
    parameters. The sample size functions can be used to approximate the 
    sample size needed to estimate a parameter or function of parameters 
    with desired confidence interval precision or to perform a variety of
    hypothesis tests (directional two-sided, equivalence, superiority, 
    noninferiority) with desired power. For details see: Statistical Methods
    for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.