Extensible Finite Mixtures of Quantile and Expectile Regressions

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Documentation for package ‘mixqr’ version 0.2.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

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