Quantile regression allows to assess the impact of some covariate X on a response Y . An important application is the construction of reference curves and conditional prediction intervals for Y . Recently, Charlier et al. (2014a) developed a new nonparametric quantile regression method based on the concept of optimal quantization. In this paper, we describe an R package, called QuantifQuantile, that allows to perform quantization-based quantile regression. We describe the various functions of the package and provide examples.