Semiparametric Ecological Inference

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Documentation for package ‘seine’ version 0.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as.array.ei_bounds	Compute partial identification bounds on local ecological quantities
as.array.ei_est_local	Produce local ecological estimates
as.matrix.ei_est	Estimate ecological quantities
ei_bench	Benchmark sensitivity parameters from observed covariates
ei_bounds	Compute partial identification bounds on local ecological quantities
ei_bounds.data.frame	Compute partial identification bounds on local ecological quantities
ei_bounds.default	Compute partial identification bounds on local ecological quantities
ei_bounds.ei_spec	Compute partial identification bounds on local ecological quantities
ei_bounds.formula	Compute partial identification bounds on local ecological quantities
ei_bounds.matrix	Compute partial identification bounds on local ecological quantities
ei_est	Estimate ecological quantities
ei_est_local	Produce local ecological estimates
ei_local_cov	Estimate the residual covariance of the local estimands
ei_proportions	Convert counts to proportions
ei_ridge	Fit an ecological inference regression model
ei_ridge.data.frame	Fit an ecological inference regression model
ei_ridge.default	Fit an ecological inference regression model
ei_ridge.ei_spec	Fit an ecological inference regression model
ei_ridge.formula	Fit an ecological inference regression model
ei_ridge.matrix	Fit an ecological inference regression model
ei_ridge_impl	Low-level implementations of 'ei_ridge()' and 'ei_riesz()'
ei_riesz	Estimate Riesz representer for ecological inference
ei_riesz.data.frame	Estimate Riesz representer for ecological inference
ei_riesz.default	Estimate Riesz representer for ecological inference
ei_riesz.ei_spec	Estimate Riesz representer for ecological inference
ei_riesz.formula	Estimate Riesz representer for ecological inference
ei_riesz.matrix	Estimate Riesz representer for ecological inference
ei_riesz_impl	Low-level implementations of 'ei_ridge()' and 'ei_riesz()'
ei_sens	Conduct a sensitivity analysis for estimated ecological quantities
ei_sens_rv	Robustness values for ecological inference
ei_spec	Specify an ecological inference problem
ei_synthetic	Generate synthetic ecological data
ei_test_car	Test the coarsening at random (CAR) assumption
ei_wgt	Estimation weighting models
ei_wgt_prop	Estimation weighting models
ei_wgt_sqrt	Estimation weighting models
ei_wgt_unif	Estimation weighting models
ei_wrap_model	Wrap another predictive model for use in 'ei_est'
elec_1968	1968 U.S. presidential election data
fitted.ei_ridge	Methods for 'ei_ridge' models
nobs.ei_est	Estimate ecological quantities
plot.ei_sens	Bias contour plot for ecological inference estimates
plot.ei_spec	Plot an EI specification
predict.ei_ridge	Methods for 'ei_ridge' models
residuals.ei_ridge	Methods for 'ei_ridge' models
ridge-methods	Methods for 'ei_ridge' models
summary.ei_ridge	Methods for 'ei_ridge' models
vcov.ei_est	Estimate ecological quantities
vcov.ei_ridge	Methods for 'ei_ridge' models
weights.ei_ridge	Methods for 'ei_ridge' models
weights.ei_riesz	Extract Riesz representer weights
weights.ei_spec	Specify an ecological inference problem