R: Partially Linear Regression under Data Combination

# Partially Linear Regression under Data Combination

## Documentation for package ‘RegCombin’ version 0.4.1

- DESCRIPTION file

## Help Pages

AStest | This function computes the AS test using DGM implementation in the package RationalExp
AS_bounds | This function finds the boundary of the identified set in one specified direction using the AS test and Newton's method.
compute_bnds_betac | Function to compute the bounds on the coefficients of the common regressors.
compute_constraints | Compute the indexes of the values of the common regressors Xc used in the various shape constraints
compute_radial | Function to compute the DGM bounds on the noncommon regressor Xnc
compute_radial_test | Function to compute the DGM bounds on the noncommon regressor Xnc, adapted to the point identification test.
compute_ratio | Function to compute the main statistic for the point estimate
compute_ratio_variance | Function to compute the variance bounds
compute_stat_variance | Function to compute the Variance bounds on the noncommon regressor Xnc
compute_support | Compute the support function for the projections of the identified set
compute_support_paral | Function to minimize to compute the function sigma for the projections of the identified set
create_values | Function to create the matrix of the support points for the common regressors Xc
DGM_bounds | This function compute the DGM bounds for all the different coefficients.
DGM_bounds_test | This function compute the DGM bounds for all the different coefficients, adapted to the point identification test.
ewcdf | Compute the weighted empirical cumulative distribution
objective_support | Internal function to minimize to compute the function sigma for the projections of the identified set
point_ident_test | Function performing the test of point identification on a validation sample.
regCombin | Function computing all the different bounds : DGM and/or Variance
regCombin_profile | Computing the DGM bounds for different values of epsilon, proportional to the data-driven selected one
sampling_rule | The subsampling rule
select_epsilon | Function for the data-driven selection of the epsilon tuning parameter
select_epsilon_test | Function for the data-driven selection of the epsilon tuning parameter, adapted to the point identification test.
summary_regCombin | Produce the final summary table for the output of the felogit function
tabulate_values | Function to tabulate the values the common regressors Xc whatever the dimension.
Variance_bounds | Function to compute the variance bounds for Xnc