Package index • seine

Ecological inference

Estimate global and local quantities and perform sensitivity analyses

ei_est() as.matrix(<ei_est>) vcov(<ei_est>) nobs(<ei_est>): Estimate ecological quantities

ei_est_local() as.array(<ei_est_local>): Produce local ecological estimates

ei_sens(): Conduct a sensitivity analysis for estimated ecological quantities

ei_sens_rv(): Robustness values for ecological inference

ei_bench(): Benchmark sensitivity parameters from observed covariates

plot(<ei_sens>): Bias contour plot for ecological inference estimates

Ecological modeling

Fit regression and weighting models to aggregate data to use in inference

ei_ridge(): Fit an ecological inference regression model

ei_riesz(): Estimate Riesz representer for ecological inference

ei_wgt_unif() ei_wgt_prop() ei_wgt_sqrt(): Estimation weighting models

predict(<ei_ridge>) fitted(<ei_ridge>) residuals(<ei_ridge>) vcov(<ei_ridge>) summary(<ei_ridge>) weights(<ei_ridge>): Methods for ei_ridge models

weights(<ei_riesz>): Extract Riesz representer weights

ei_ridge_impl() ei_riesz_impl(): Low-level implementations of ei_ridge() and ei_riesz()

ei_wrap_model(): Wrap another predictive model for use in ei_est

Preprocessing

Functions to set up EI problems and tidy data

ei_spec() weights(<ei_spec>): Specify an ecological inference problem

plot(<ei_spec>): Plot an EI specification

ei_proportions(): Convert counts to proportions

Data

elec_1968: 1968 U.S. presidential election data

ei_synthetic(): Generate synthetic ecological data