The "extended Rasch modeling" (eRm) package in R provides users with a comprehensive set of tools for Rasch modeling for scale evaluation and general modeling. We provide a brief introduction to Rasch modeling followed by a review of literature that utilizes the eRm package. Then, the key features of the eRm package for scale evaluation are reviewed. The ease of use and the advantages of the R environment make the eRm package an appealing, free option for rigorous Rasch modeling. We demonstrate the functionality with a small example using data from the Rosenberg Self-Esteem scale. Using these data we show how to (1) fit dichotomous and polytomous Rasch models, (2) obtain key figures (e.g., item characteristic curves and person-item maps) to aid model assessment, (3) assess dimensionality and (4) obtain item fit statistics.