It is a "warning" message, but not an "error" message. Therefore, you should still get parameter estimates. However, lack of convergence is often an important issue. Although in the case of the EM algorithm, it may not be so serious since EM is notoriously slow to converge when you set a small tolerance for convergence. You may fiddle with the control options for EM algorithm and see if you can get convergence. If not, you should contact the package authors. Hope this is helpful, Ravi Ravi Varadhan, Ph.D. (Biostatistics), Ph.D. (Environmental Engg) Associate Professor, Department of Oncology Division of Biostatistics & Bionformatics Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University 550 N. Broadway, Suite 1111-E Baltimore, MD 21205 410-502-2619
Haplo.glm error: Failed to converge during EM-glm loop
1 message · Ravi Varadhan