LRTest                  Likelihood-ratio test
assign_to_global        function loading results in global environment
ex_data                 This is the longitudinal genetic dataset.
func1                   An internal function to compute m and gamma
                        based on continuous-time model (Yashin et. al.,
                        2007)
get.column.index        An internal function to obtain column index by
                        its name
getNextY.cont           An internal function to compute next Y based on
                        continous-time model (Yashin et. al., 2007)
getNextY.cont2          An internal function to compute next value of
                        physiological variable Y
getNextY.discr          An internal function to compute the next value
                        of physiological variable Y based on
                        discrete-time model (Akushevich et. al., 2005)
getNextY.discr.m        An internal function to compute next m based on
                        dicrete-time model
getPrevY.discr          An internal function to compute previous value
                        of physiological variable Y based on
                        discrete-time model
getPrevY.discr.m        An internal function to compute previous m
                        based on discrete-time model
longdat                 This is the longitudinal dataset.
m                       An internal function to compute m from
make.short.format       An internal function which construct short data
                        format from a given long
mu                      An internal function to compute mu
prepare_data            Data pre-processing for analysis with
                        stochastic process model methodology.
prepare_data_cont       Prepares continuouts-time dataset.
prepare_data_discr      Prepares discrete-time dataset.
sigma_sq                An internal function to compute sigma square
                        analytically
sim_pobs                Multi-dimension simulation function for data
                        with partially observed covariates
                        (multidimensional GenSPM) with arbitrary
                        intervals
simdata_cont            Multi-dimensional simulation function for
                        continuous-time SPM.
simdata_discr           Multi-dimension simulation function
simdata_gamma_frailty   This script simulates data using familial
                        frailty model.  We use the following variation:
                        gamma(mu, ssq), where mu is the mean and ssq is
                        sigma square. See:
                        https://www.rocscience.com/help/swedge/webhelp/swedge/Gamma_Distribution.htm
simdata_time_dep        Simulation function for continuous trait with
                        time-dependant coefficients.
spm                     A central function that estimates Stochastic
                        Process Model parameters a from given dataset.
spm.impute              Multiple Data Imputation with SPM
spm_con_1d              Fitting a 1-D SPM model with constant
                        parameters
spm_con_1d_g            Fitting a 1-D genetic SPM model with constant
                        parameters
spm_cont_lin            Continuous multi-dimensional optimization with
                        linear terms in mu only
spm_cont_quad_lin       Continuous multi-dimensional optimization with
                        quadratic and linear terms
spm_continuous          Continuous multi-dimensional optimization
spm_discrete            Discrete multi-dimensional optimization
spm_pobs                Continuous-time multi-dimensional optimization
                        for SPM with partially observed covariates
                        (multidimensional GenSPM)
spm_projection          A data projection with previously estimated or
                        user-defined parameters. Projections are
                        constructed for a cohort with fixed or normally
                        distributed initial covariates.
spm_time_dep            A function for the model with time-dependent
                        model parameters.
stpm                    Stochastic Process Model for Analysis of
                        Longitudinal and Time-to-Event Outcomes
trim                    Returns string w/o leading or trailing
                        whitespace
trim.leading            Returns string w/o leading whitespace
trim.trailing           Returns string w/o trailing whitespace
vitstat                 Vital (mortality) statistics.
