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mixqrgate

Location-Varying Gating for Mixtures of Quantile Regressions

Extends finite mixtures of quantile regressions (the 'mixqr' package) with a concomitant-covariate, quantile-indexed mixing gate. The mixing probabilities follow a multinomial-logit model whose coefficients may depend on a separate set of gating covariates and on the quantile level, so that latent-class membership can change across the conditional distribution. This turns the location-varying mixing idea of Furno (2025) into a likelihood and EM object with proper standard errors on the gate. Estimation reuses the 'mixqr' component and error-density machinery; the gate is fit by a weighted multinomial-logistic M-step and reduces exactly to a constant gate when the gating model is an intercept only.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 mixqrgate_0.1.2.tar.gz 236.2 KiB
0.1.2 rolling linux/noble R-4.5 mixqrgate_0.1.2.tar.gz 236.2 KiB
0.1.2 rolling source/ R- mixqrgate_0.1.2.tar.gz 173.6 KiB
0.1.2 latest linux/jammy R-4.5 mixqrgate_0.1.2.tar.gz 236.2 KiB
0.1.2 latest linux/noble R-4.5 mixqrgate_0.1.2.tar.gz 236.2 KiB
0.1.2 latest source/ R- mixqrgate_0.1.2.tar.gz 173.6 KiB
0.1.2 2026-04-23 source/ R- mixqrgate_0.1.2.tar.gz 0 B

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