Icens

Icens computes the Nonparametric Maximum Likelihood Estimator (NPMLE) for censored and truncated datasets, providing nonparametric distribution estimates for analyses in genomics, molecular biology, survival analysis, and reliability studies.

Key Features:

• Censoring and Truncation Handling: Manages datasets with censored and truncated observations common in survival analysis and reliability studies.
• NPMLE Computation: Computes the Nonparametric Maximum Likelihood Estimator (NPMLE) without assuming a parametric form of the underlying distribution.
• R implementation: Implemented using R for statistical computing and graphics.
• Bioconductor alignment: Aligns with Bioconductor principles and infrastructure for high-throughput genomic data analysis.

Scientific Applications:

• Genomics and Molecular Biology: Analysis of high-throughput genomic data with incomplete observations due to censoring or truncation.
• Survival Analysis: Estimation of time-to-event distributions in the presence of censored observations.
• Reliability Studies: Estimation of lifetime or failure-time distributions when data are censored or truncated.

Methodology:

Computes the Nonparametric Maximum Likelihood Estimator (NPMLE) for censored and truncated data and is implemented in R for statistical computing and graphics.