Contains functions to simulate the most commonly used 
    'SAS®' procedures.  Specifically, the package aims to 
    simulate the functionality of 'proc freq', 'proc means', 'proc ttest',
    'proc reg', 'proc transpose', 'proc sort', and 'proc print'. 
    The simulation will include recreating 
    all statistics with the highest fidelity possible.

A direct and flexible method for estimating an ICA model. This approach estimates the densities for each component directly via a tilted Gaussian. The tilt functions are estimated via a GAM Poisson model. Details can be found in "Elements of Statistical Learning (2nd Edition)" in Section 14.7.4.

Implements the methods proposed by Olley, G.S. and Pakes, A. (1996) <doi:10.2307/2171831>, Levinsohn, J. and Petrin, A. (2003) <doi:10.1111/1467-937X.00246>, Ackerberg, D.A. and Caves, K. and Frazer, G. (2015) <doi:10.3982/ECTA13408> and Wooldridge, J.M. (2009) <doi:10.1016/j.econlet.2009.04.026> for structural productivity estimation .

Create a project directory structure, along with typical
    files for that project.  This allows projects to be quickly and easily
    created, as well as for them to be standardized. Designed specifically
    with scientists in mind (mainly bio-medical researchers, but likely
    applies to other fields).

Fast and user friendly implementation of nonparametric estimators
    for censored event history (survival) analysis. Kaplan-Meier and
    Aalen-Johansen method.

A set of concise and efficient tools for statistical production. Can also be used for data management.
    In statistical production, you deal with complex data and need to control your process at each step of your work.
    Concise functions are very helpful, because you do not hesitate to use them.
    The following functions are included in the package.
    'dup'  checks duplicates.
    'miss' checks missing values.
    'tac' computes contingency table of all columns.
    'toc' compares two tables, spotting significant deviations.
    'chi2_find' compares columns within a data.frame, spotting related categories of (a more complex function).