This R code repository provides implementations for the Cormack-Jolly-Seber (CJS) capture-recapture model, a fundamental statistical method used in ecology and wildlife biology to estimate survival probabilities and population sizes from capture-recapture data . The CJS model is particularly useful for open populations where individuals can enter (birth, immigration) or leave (death, emigration) the study area between sampling occasions. While the repository specifically mentions 'mouse-recapture', the underlying CJS methodology is broadly applicable to various animal populations. The scripts are developed in R, a powerful environment for statistical modeling. The CJS model involves analyzing encounter histories of marked individuals, typically represented as sequences of captures (1) or non-captures (0) over multiple sampling periods . Technical capabilities of these scripts would include data preparation for capture-recapture analysis, fitting CJS models, estimating parameters such as apparent survival and recapture probabilities, and potentially performing model selection to identify the best-fitting model . R packages like 'RMark' and 'marked' are commonly used for CJS analysis, providing formula-based interfaces and tools for extracting and manipulating data, plotting, and simulation . The analysis can handle data from multiple capture-recapture sessions and can account for variations in capture rates . This digital resource is highly relevant for ecologists, wildlife managers, and conservation biologists. It enables the quantitative assessment of population dynamics, providing crucial insights into survival rates and population trends. Applications include monitoring endangered species, evaluating the impact of environmental changes on wildlife populations, and informing management strategies for sustainable resource use. The benefits include robust statistical inference for population parameters, flexibility in model specification, and the ability to analyze complex capture-recapture datasets. The code is compatible with standard R installations and is designed to work with typical capture-recapture data formats.