https://laurinemir.r-universe.devRecent package updates in laurinemirR-universehttps://github.com/laurinemir.pnghttps://laurinemir.r-universe.devMon, 28 Sep 2026 10:08:37 GMTlaurine.meier@ensae.fr (Laurine Meier)Heterogeneous Peer Effect Package provides two-step Generalized Method of Moments (GMM) estimators for heterogeneous peer effects in group-level treatment models developed by Pasquier, Rossi and Wang (2026) <https://crest.science/wp-content/uploads/2026/09/2026-11.pdf>. The package separates the direct effect of treatment from within-group and between-group spillover effects, using a cross-fitted, semiparametric approach that leaves the propensity score unspecified and estimates it nonparametrically. Two identification settings are implemented: one in which eligibility for treatment coincides with group identity, and one in which identity is orthogonal to eligibility, allowing peer effects to differ across subgroups (e.g. by gender). Point estimates, standard errors, and test statistics are returned for the direct effect and for each within- and between-group peer effect.https://github.com/r-universe/laurinemir/actions/runs/37771922233Mon, 28 Sep 2026 10:08:37 GMTheterogeneouspeereffects0.1.0successhttps://laurinemir.r-universe.devhttps://github.com/laurinemir/heterogeneouspeereffectsIntro_to_ortho_heter_endo_gmm.RmdIntro_to_ortho_heter_endo_gmm.htmlIntroduction to ortho_heter_endo_gmm in order to estimate heterogeneous peer effects when identity is orthogonal to eligibility2026-08-28 12:11:272026-08-28 12:11:27Intro_to_heter_endo_gmm.RmdIntro_to_heter_endo_gmm.htmlIntroduction to heter_endo_gmm in order to estimate heterogeneous peer effect when identity equals eligibility2026-08-28 12:11:272026-08-28 12:11:27