ExampleDataBinary       Example data with binary outcomes
ExampleDataLinear       Example data with continuous outcomes
SM_output               Generic function for calculating standardized
                        measures
SM_output.linear_fe     Calculate direct/indirect standardized
                        differences from a fitted 'linear_fe' object
SM_output.linear_re     Calculate direct/indirect standardized
                        differences from a fitted 'linear_re' object
SM_output.logis_fe      Calculate direct/indirect standardized
                        ratios/rates from a fitted 'logis_fe' object
SM_output.logis_re      Calculate direct/indirect standardized
                        ratios/rates from a fitted 'logis_re' object
bar_plot                Get a bar plot for flagging percentage overall
                        and stratified by provider sizes
caterpillar_plot        Get a caterpillar plot to display confidence
                        intervals for standardized measures
confint.linear_fe       Get confidence intervals for provider effects
                        or standardized measures from a fitted
                        'linear_fe' object
confint.linear_re       Get confidence intervals for provider effects
                        or standardized measures from a fitted
                        'linear_re' object
confint.logis_fe        Get confidence intervals for provider effects
                        or standardized measures from a fitted
                        'logis_fe' object
confint.logis_re        Get confidence intervals for provider effects
                        or standardized measures from a fitted
                        'logis_re' object
data_check              Data quality check function
ecls_data               Early Childhood Longitudinal Study Dataset
linear_fe               Main function for fitting the fixed effect
                        linear model
linear_re               Main Function for fitting the random effect
                        linear model
logis_fe                Main function for fitting the fixed effect
                        logistic model
logis_re                Main Function for fitting the random effect
                        logistic model
plot.linear_fe          Get funnel plot from a fitted 'linear_fe'
                        object for institutional comparisons
plot.logis_fe           Get funnel plot from a fitted 'logis_fe' object
                        for institutional comparisons
summary.linear_fe       Result Summaries of Covariate Estimates from a
                        fitted 'linear_fe' or 'linear_re' object
summary.logis_fe        Result Summaries of Covariate Estimates from a
                        fitted 'logis_fe' object
summary.logis_re        Result Summaries of Covariate Estimates from a
                        fitted 'logis_re' object
test                    Generic function for hypothesis testing of
                        provider effects
test.linear_fe          Conduct hypothesis testing for provider effects
                        from a fitted 'linear_fe' object
test.linear_re          Conduct hypothesis testing for provider effects
                        from a fitted 'linear_re' object
test.logis_fe           Conduct hypothesis testing for provider effects
                        from a fitted 'logis_fe' object
test.logis_re           Conduct hypothesis testing for provider effects
                        from a fitted 'logis_re' object
