Changed

• Docker image supports R 4.2.3
• generate_syn_data supportsvectorized_y to accelerate data generation.
• matching_fun -->dist_measure
• matching_l1 -->matching_fn
• estimate_semipmetric_erf now takes thegam models optional arguments.
• estimate_pmetric_erf now takes thegnm models optional arguments.
• trim_quantiles -->exposure_trim_qtls
• generate_pseudo_pop function acceptsgps_obj as an optional input.
• internal_use is not part of parameters forestimate_gps function.
• estimate_gps function only returnsid,w, and computedgps as part of dataset.
• Now the design and analysis phases are explicitly separated.
• gps_model -->gps_density. Now it takes,normal andkernel options instead ofparametric andnon-parametric options.

Added

• estimate_npmetric_erf supports bothlocpol andKernSmooth approaches.
• There isgps_trim_qtls input parameter to trim data samples based on gps values.
• Now users can also collect the original data in the pseudo population object.

Fixed

• A bug with swapping transformed covairates with original one.