Package index • positively

Check positivity

Diagnose positivity across every applicable method and work with the resulting container object.

Individual positivity and extrapolation diagnostics, including their time-varying sequence variants.

check_edp(): Diagnose positivity with effective data points
check_port(): Locate positivity-violating subgroups with the PoRT algorithm
check_port_seq(): Locate sequential positivity violations with the sPoRT algorithm
check_hat_values(): Diagnose positivity for continuous exposures with hat values
check_extrapolation(): Diagnose extrapolation for binary exposures with Gower distances and the convex hull
check_eta_bias(): Diagnose positivity bias with the parametric bootstrap (ETA.Bias)
check_hdr(): Diagnose positivity for continuous exposures with HDR non-overlap
check_hdr_seq(): Diagnose sequential positivity for continuous exposures with HDR non-overlap
check_density_ratios(): Summarize density ratios for positivity diagnosis

Autoplot methods that visualize each diagnostic result.

autoplot.positivity_check plot.positivity_check: Plot the diagnostics a positivity check holds
autoplot.edp_result plot.edp_result: Plot an effective-data-points diagnostic
autoplot.port_result plot.port_result: Plot a PoRT subgroup diagnostic
autoplot.hat_values_result plot.hat_values_result: Plot a hat-value diagnostic
autoplot.extrapolation_result plot.extrapolation_result: Plot an extrapolation diagnostic
autoplot.eta_bias_result plot.eta_bias_result: Plot an ETA.Bias diagnostic
autoplot.hdr_result plot.hdr_result: Plot an HDR non-overlap diagnostic
autoplot.density_ratios_result plot.density_ratios_result: Plot a density-ratio diagnostic

Conditional-density estimators used by the highest density region diagnostic.

hdr_density_normal(): The default normal conditional-density estimator for HDR non-overlap
new_hdr_density(): Construct a conditional-density estimator for the HDR diagnostic

Example data with planted positivity violations.

pos_violations: Binary-exposure data with planted positivity violations
pos_violations_long: Longitudinal continuous-exposure data with a time-2 support gap

Developer-facing classes for building new diagnostics.

positivity_diagnostic: The abstract parent class for positivity diagnostics