We consider nonparametric estimation algorithms for current status rightcensored data model. In the model right-censored event times are not observed exactly, but at some inspection times. The model covers right-censored data, current status data and life table survival data with a single inspection time. We consider the nonparametric estimation algorithms to obtain three nonparametric estimators for the survival function of failure time: maximum likelihood, pseudo maximum likelihood and the naïve estimator. We discuss large sample properties of the estimators. Using the standard R packages we perform simulations, which compare the estimators under small and moderate sample sizes.