ZL                      Carry out a simplified version of the Zhang and
                        Laber test.
accept_rate             Estimate the local acceptance rate
add_oth_pvals           Add Other p-values
calc_gam_star           A helper function for 'mv_pn_test', calculating
                        the test statistic for both the vector of
                        parameter estimates, and the draws from the
                        corresponding estimated limiting distribution.
est_pows                A helper function to estimate the power using
                        the generated test statistic, and estimated
                        distribution of the test statistic.
find_mag                A helper function to find the multiplicative
                        distance of a specified alternative from the
                        alternative in the same direction that obtains
                        a power of 80%.
gen_boot_sample         A helper function to generate a multiplier
                        bootstrap sample
get_test_stat           Helper function for the Zhang and Laber test.
ic.data.examp           Function for calculating the influence function
                        used for the real data example.
ic.pearson              Pearson Correlation IC and estimate
ic.proj.rr              Estimate both the parameter, and the influence
                        curves used for estimating the projected risk
                        ratio. The first column of your data should
                        correspond to the variable of interest.
ic.proj.rr.nolas        Estimate both the parameter, and or the
                        influence curves used for estimating the
                        projected risk ratio (not using lasso). The
                        first column of your data should correspond to
                        the variable of interest.
l_p_norm                A function used to calculate various L_p norms
look_IC                 This a function used to look at the IC.
mag_for_pow             This function is used to estimate the magnitude
                        needed for a certain direction to achieve 80%
                        power for a proposed alternative.
make_data               Generate data using one of the four specified
                        models from MCKEAGUE and QIAN paper
mv_pn_test              Runs a multivariate point null test. This
                        function returns an approximate p-value for the
                        specified test statistic.
pval_for_mag            A helper function that calculates the estimated
                        p-value for a given observed alternative and a
                        given norm.
rr.msm.ic               Estimate both the parameter, and the influence
                        curves used for estimating the projected risk
                        ratio from a working marginal structural mean
                        model.
rr.msm.jn.ic            Estimate both the parameter, and the influence
                        curves used for estimating the projected risk
                        ratio from a working marginal structural mean
                        model.  This function only uses elastic net for
                        the estimation (rather than also using other
                        learners).
test.control            Control function for the adaptive norm test
