InferenceModel          Statistical model that returns significance
                        criterion
MixtureModel            Correlated predictors generator
OutcomeModel            Outcome generator
bkmr_wrapper            Fits a BKMR model with significance criteria:
                        PIP and group-wise PIP
bma_wrapper             Fits a linear model with Bayesian model
                        selection with significance criteria: PIP and
                        posterior probability of nonzero coefficients
                        being on one side of zero.
bws_wrapper             Fits a Bayesian weighted sums
cor2partial             Convert a correlation matrix into a partial
                        correlation matrix
cvine                   Citation: Daniel Lewandowski, Dorota Kurowicka,
                        Harry Joe, Generating random correlation
                        matrices based on vines and extended onion
                        method, Journal of Multivariate Analysis,
                        Volume 100, Issue 9, 2009, Pages 1989-2001,
                        ISSN 0047-259X,
                        https://doi.org/10.1016/j.jmva.2009.04.008.
estimate_snr            Monte Carlo approximation of the SNR
fin_wrapper             Fits a Bayesian factor model with interactions
fit                     Fits the model to given data and gets a list of
                        significance criteria
genx                    Generates a matrix of n observations of p
                        predictors
geny                    Generates a vector of outcomes
glm_wrapper             Fits a generalized linear model
mplot                   Visualize marginals and Gaussian copula
                        correlations of simulated data
mpower                  mpower: Power analysis using Monte Carlo for
                        correlated predictors.
nhanes1518              NHANES data from 2015-2016 and 2017-2018 cycles
partial                 Partial correlations between elements in x and
                        elements in y
plot_summary            Plot summaries of power simulation
qgcomp_lin_wrapper      Fits a linear Quantile G-Computation model with
                        no interactions
qmultinom               Quantile function for the multinomial
                        distribution, size = 1
rsq2snr                 Convert R-squared value to the SNR
scale_f                 Rescale the mean function of an OutcomeModel to
                        meet a given SNR
scale_sigma             Rescale the noise variance of a Gaussian
                        OutcomeModel to meet a given SNR
set_value               This function updates values in an OutcomeModel
                        object
sim_curve               Power curve using Monte Carlo simulation
sim_power               Power analysis using Monte Carlo simulation
summary                 Tabular summaries of power simulation
