Execute the self-controlled case series (SCCS) design using observational 
  data in the OMOP Common Data Model. Extracts all necessary data from the database and 
	transforms it to the format required for SCCS. Age and season can be modeled
	using splines assuming constant hazard within calendar months. Event-dependent 
	censoring of the observation period can be corrected for. Many exposures can be
	included at once (MSCCS), with regularization on all coefficients except for the
	exposure of interest. Includes diagnostics for all major assumptions of the SCCS.

Estimates incidence rate ratios by comparing time exposed with time unexposed among an exposed cohort using
    self-controlled cohort methodology as described in Ryan et al. (2013) <doi:10.1002/pds.3457>.
    Functions used for empirical calibration of effect estimates, confidence intervals, and p-values are included to control
    for residual bias.

A probability tree allows to compute probabilities of
	     complex events, such as genotype probabilities in intermediate generations of inbreeding
	     through recurrent self-fertilization (selfing). This package implements functionality to compute
	     probability trees for two- and three-marker genotypes in the F2 to F7 selfing
	     generations. The conditional probabilities are derived automatically
	     and in symbolic form. The package also provides functionality to
	     extract and evaluate the relevant probabilities.

Selection index is one of the efficient and acurrate method for selection of animals. This package is useful for construction of selection indices.
    It uses mixed and random model least squares analysis to estimate the heritability of
    traits and genetic correlation between traits. The package uses the sire model as it is considered as
    random effect. The genetic and phenotypic (co)variances along with the relative economic values are 
    used to construct the selection index for any number of traits. It also estimates the accuracy of the
    index and the genetic gain expected for different traits. Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>.