'ACE' (Advanced Cohort Engine) is a powerful tool that allows constructing cohorts of patients 
             extremely quickly and efficiently. This package is designed to interface directly with an 
             instance of 'ACE' search engine and facilitates API queries and data dumps. Prerequisite
             is a good knowledge of the temporal language to be able to efficiently construct a query.
             More information available at <https://shahlab.stanford.edu/start>.

A few functions aim to provide a statistic tool for three purposes. First, simulate kin pairs data based on the assumption that every trait is affected by genetic effects (A), common environmental effects (C) and unique environmental effects (E).Second, use kin pairs data to fit an ACE model and get model fit output.Third, calculate power of A estimate given a specific condition. For the mechanisms of power calculation, we suggest to check Visscher(2004)<doi:10.1375/twin.7.5.505>.

Twin models that are able to estimate the dynamic behaviour of the variance components in the classical twin models with respect to age using B-splines and P-splines.

Non-robust and robust computations of the sample autocovariance (ACOVF) and sample autocorrelation functions (ACF) of univariate and multivariate processes. The methodology consists in reversing the diagonalization procedure involving the periodogram or the cross-periodogram and the Fourier transform vectors, and, thus, obtaining the ACOVF or the ACF as discussed in Fuller (1995) <doi:10.1002/9780470316917>. The robust version is obtained by fitting robust M-regressors to obtain the M-periodogram or M-cross-periodogram as discussed in Reisen et al. (2017) <doi:10.1016/j.jspi.2017.02.008>.

Automated Characterization of Health Information at Large-Scale 
  Longitudinal Evidence Systems. Creates a descriptive statistics summary for 
  an Observational Medical Outcomes Partnership Common Data Model standardized 
  data source. This package includes functions for executing summary queries on 
  the specified data source and exporting reporting content for use across a 
  variety of Observational Health Data Sciences and Informatics community 
  applications.