cond_logreg             Conditional Logistic Regression with
                        Measurement Error in One Covariate
dat_cond_logreg         Dataset for Examples in cond_logreg
dat_p_gdfa              Dataset for Examples in p_gdfa
dat_p_linreg_yerrors    Dataset for Examples in p_linreg_yerrors
dat_p_ndfa              Dataset for Examples in p_ndfa
form_pools              Created a Pooled Dataset from a
                        Subject-Specific One
p_dfa_xerrors           Discriminant Function Approach for Estimating
                        Odds Ratio with Normal Exposure Measured in
                        Pools and Potentially Subject to Errors
p_dfa_xerrors2          Discriminant Function Approach for Estimating
                        Odds Ratio with Gamma Exposure Measured in
                        Pools and Potentially Subject to Errors
p_gdfa                  Gamma Discriminant Function Approach for
                        Estimating Odds Ratio with Exposure Measured in
                        Pools and Potentially Subject to Multiplicative
                        Lognormal Errors
p_gdfa_constant         Gamma Discriminant Function Approach for
                        Estimating Odds Ratio with Exposure Measured in
                        Pools and Potentially Subject to Multiplicative
                        Lognormal Errors (Constant Odds Ratio Version)
p_gdfa_nonconstant      Gamma Discriminant Function Approach for
                        Estimating Odds Ratio with Exposure Measured in
                        Pools and Potentially Subject to Multiplicative
                        Lognormal Errors (Non-constant Odds Ratio
                        Version)
p_linreg_yerrors        Linear Regression of Y vs. Covariates with Y
                        Measured in Pools and (Potentially) Subject to
                        Additive Normal Errors
p_logreg                Poolwise Logistic Regression
p_logreg_xerrors        Poolwise Logistic Regression with Normal
                        Exposure Subject to Errors
p_logreg_xerrors2       Poolwise Logistic Regression with Gamma
                        Exposure Subject to Errors
p_ndfa                  Normal Discriminant Function Approach for
                        Estimating Odds Ratio with Exposure Measured in
                        Pools and Potentially Subject to Additive
                        Normal Errors
p_ndfa_constant         Normal Discriminant Function Approach for
                        Estimating Odds Ratio with Exposure Measured in
                        Pools and Potentially Subject to Additive
                        Normal Errors (Constant Odds Ratio Version)
p_ndfa_nonconstant      Normal Discriminant Function Approach for
                        Estimating Odds Ratio with Exposure Measured in
                        Pools and Potentially Subject to Additive
                        Normal Errors (Non-constant Odds Ratio Version)
pdat1                   Dataset for Examples in p_dfa_xerrors and
                        p_logreg_xerrors
pdat2                   Dataset for Examples in p_dfa_xerrors2 and
                        p_logreg_xerrors2
plot_dfa                Plot Log-OR vs. X for Normal Discriminant
                        Function Approach
plot_dfa2               Plot Log-OR vs. X for Gamma Discriminant
                        Function Approach
plot_gdfa               Plot Log-OR vs. X for Gamma Discriminant
                        Function Approach
plot_ndfa               Plot Log-OR vs. X for Normal Discriminant
                        Function Approach
poolcost_t              Visualize Total Costs for Pooling Design as a
                        Function of Pool Size
poolcushion_t           Visualize T-test Power for Pooling Design as
                        Function of Processing Error Variance
pooling                 Fit Poolwise Regression Models
poolpower_t             Visualize T-test Power for Pooling Design
poolvar_t               Visualize Ratio of Variance of Each Pooled
                        Measurement to Variance of Each Unpooled
                        Measurement as Function of Pool Size
simdata                 Dataset for a Paper Under Review
test_pe                 Test for Underestimated Processing Error
                        Variance in Pooling Studies
