Package index • qgcomp.multi

Model fitting

qgcomp.glm.multi(): Fit a quantile g-computation model for two exposure mixtures
qgcomp.glm.multi.mi(): Fit a pooled multiple-imputation quantile g-computation model
qgcompmulti_msm_fit(): Fit the core outcome-model and MSM components for two-mixture g-computation

predict(<qgcompmulti>): Predict from a qgcompmulti fit
fitted_surface(): Extract stored fit-time surfaces from a qgcompmulti fit
intervention_grid(): Extract stored intervention grids from a qgcompmulti fit
plot(<qgcompmulti>): Plot a qgcompmulti fit

support(): Extract intervention support diagnostics from a qgcompmulti fit
diagnostics(): Diagnostic summaries for a qgcompmulti fit
adequacy(): Extract MSM adequacy diagnostics from a qgcompmulti fit

mcsize_sensitivity(): Sensitivity to Monte Carlo size in qgcompmulti fits
b_sensitivity(): Sensitivity to bootstrap iteration count in qgcompmulti fits
q_sensitivity(): Sensitivity to quantization choice in qgcompmulti fits

summary(<qgcompmulti>) print(<summary.qgcompmulti>): Summarize a qgcompmulti fit
summary(<qgcompmulti_mi>) print(<summary.qgcompmulti_mi>): Summarize a pooled qgcompmulti multiple-imputation fit
print(<qgcompmulti>): Print a qgcompmulti fit
print(<qgcompmulti_mi>): Print a pooled qgcompmulti multiple-imputation fit
confint(<qgcompmulti>): Confidence intervals for qgcompmulti coefficients
confregion(): Confidence regions for qgcompmulti coefficients
plot(<qgcompmulti_region>): Plot a qgcompmulti confidence region
tidy(<qgcompmulti>): Tidy coefficient summaries for qgcompmulti fits
tidy(<qgcompmulti_mi>): Tidy coefficient summaries for pooled qgcompmulti multiple-imputation fits
glance(<qgcompmulti>): Glance summaries for qgcompmulti fits
glance(<qgcompmulti_mi>): Glance summaries for pooled qgcompmulti multiple-imputation fits
coef(<qgcompmulti>) formula(<qgcompmulti>) nobs(<qgcompmulti>) df.residual(<qgcompmulti>) residuals(<qgcompmulti>) vcov(<qgcompmulti>): Core extractor methods for qgcompmulti objects
coef(<qgcompmulti_mi>) vcov(<qgcompmulti_mi>) confint(<qgcompmulti_mi>): Core extractor methods for pooled qgcompmulti multiple-imputation objects

quantize_mixtures(): Quantize exposure variables for two-mixture quantile g-computation
sim_mixture_data(): Generate simulated dataset with two exposure mixtures
sim_biomarker_data(): Simulate a biomarker dataset for two-mixture inflammation analyses