Oliveira Pérez, MaríaCrujeiras Casais, Rosa MaríaRodríguez Casal, Alberto2016-03-152016-03-152014-10Oliveira, M., Crujeiras, R.M., Rodríguez-Casal, A. (2014). NPCirc: An R package for nonparametric circular methods. "Journal of Statistical Software", 61, 9 [doi: 10.18637/jss.v061.i09]1548-7660http://hdl.handle.net/10347/13954Nonparametric density and regression estimation methods for circular data are included in the R package NPCirc. Speci cally, a circular kernel density estimation procedure is provided, jointly with di erent alternatives for choosing the smoothing parameter. In the regression setting, nonparametric estimation for circular-linear, circular-circular and linear-circular data is also possible via the adaptation of the classical Nadaraya-Watson and local linear estimators. In order to assess the signi cance of the features observed in the smooth curves, both for density and regression with a circular covariate and a linear response, a SiZer technique is developed for circular data, namely CircSiZer. Some data examples are also included in the package, jointly with a routine that allows generating mixtures of di erent circular distributionsengAttribution 3.0 Unported (CC BY 3.0)http://creativecommons.org/licenses/by/3.0/Circular dataCircSiZerNonparametric methodsMixturesR packageMaterias::Investigación::12 Matemáticas::1209 Estadísticajournal article10.18637/jss.v061.i09open access