R: Extensible Finite Mixtures of Quantile and Expectile Regressions

# Extensible Finite Mixtures of Quantile and Expectile Regressions

## Documentation for package ‘mixqr’ version 0.2.0

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

## Help Pages

AIC.mixqr | Log-likelihood, AIC and BIC of a mixqr fit
BIC.mixqr | Log-likelihood, AIC and BIC of a mixqr fit
coef.mixqr | Component coefficients of a mixqr fit
confint.mixqr | Confidence intervals for a mixqr fit
engine | Engine ethanol-combustion data (Brinkman 1981)
fitted.mixqr | Fitted values, residuals and number of observations
get_mixqr_engine | Retrieve a registered mixqr engine constructor
list_mixqr_engines | List registered mixqr engines
logLik.mixqr | Log-likelihood, AIC and BIC of a mixqr fit
mixqr | Fit a finite mixture of quantile regressions
mixqr_control | Control parameters for 'mixqr()'
mixqr_nc | Fit a joint multi-tau mixture of quantile regressions (non-crossing, shared labels)
mixqr_pen | Fit a penalized (variable-selecting) mixture of quantile regressions
mixqr_select | Select the number of mixture components
mixqr_vcontrol | Control parameters for stochastic-EM variance estimation (Algorithm 3.1)
nobs.mixqr | Fitted values, residuals and number of observations
plot.mixqr | Plot a mixqr fit
plot.mixqr_multitau | Plot the non-crossing component quantile curves of a multi-tau fit
predict.mixqr | Predict from a mixqr fit
predict.mixqr_multitau | Predict non-crossing component quantiles from a multi-tau fit
register_mixqr_engine | Register a mixqr EM engine
residuals.mixqr | Fitted values, residuals and number of observations
selectedVars | Active (selected) covariates per component of a penalized mixqr fit
sim_mixqr2 | Simulate the Wu & Yao two-component design (eq. 4.1-4.2)
sim_mixqr3 | Simulate the Wu & Yao three-component design (eq. 4.3-4.4)
sim_mixqr_cross | Simulate a two-component mixture whose per-tau fits cross (for O4 validation)
summary.mixqr | Summarize a mixqr fit
vcov.mixqr | Variance-covariance matrix of a mixqr fit