Stat-JR currently has six supporting manuals:

• Stat-JR TREE Quick-start Guide 1.0.7: this manual provides a 'quick-start' guide to Stat-JR, via its TREE (Template Reading and Execution Environment) interface;
• A Beginner's Guide to Stat-JR's TREE interface version v1.0.7: this is an introduction to Stat-JR's menu-driven TREE (Template Reading and Execution Environment) interface;
• Stat-JR DEEP eBook Reader and Authoring Guide v1.0.6: this introduces Stat-JR's DEEP (Documents with Embedded Execution and Provenance) interface, in which users can 'read' dynamic eBooks, and also includes guidance on authoring such eBooks as well;
• An Advanced User's Guide to Stat-JR version v1.0.7: this manual looks 'under the bonnet' of the Stat-JR system, and provides guidance for those wishing to write their own templates.
• Stat-JR LEAF Workflow Guide for Stat-JR v1.0.7: this is a self-contained guide on using the Stat-JR LEAF (Logging and Execution of Analysis Flows) workflow system.
• Developing a statistical analysis assistant using the Stat-JR software system v1.0.7: this manual provides a guide to using a statistical analysis assistant implemented in the Stat-JR software. The following downloads are provided to support this manual:
  • 3-level normal response hierarchical model with IGLS using forward pass selection with Likelihood ratio tests (alevchem.pdf)
  • 3-level normal response hierarchical model with IGLS using full forward/backwards selection with Likelihood ratio tests (alevchemffb.pdf)
  • 1-level binary response model with IGLS using forward pass selection with Wald tests (bang1lev.pdf) 
  • 2-level binary response model with IGLS using forward pass selection with Wald tests (bang2lev.pdf)
  • 2-level binary response model with MCMC using forward pass selection with Wald tests (bangmcmc.pdf) 
  • 3-level Poisson response hierarchical model with IGLS using forward pass selection with Wald tests (mmmec.pdf)
  • 2-level normal response model with IGLS using forward pass selection with Likelihood ratio tests (tutinter.pdf)
  • 2-level linear regression with MCMC (tutlrmcmc.pdf) 
  • 2-level normal response model with MCMC using forward pass selection with DIC comparison (tutmcmcridic.pdf)
  • 2-level normal response model with MCMC using forward pass selection with Wald tests (tutmcmcriwald.pdf)
  • 2-level normal response model with IGLS using forward pass selection with Likelihood ratio tests (tutrandint.pdf)
  • 2-level normal response model with IGLS using forward pass selection with Likelihood ratio tests (tutrandslope.pdf)
  • 2-classification normal model with MCMC using forward pass selection wth Wald tests (xc1.pdf)

Citing the manuals

Please cite the manuals as follows (to instead cite the Stat-JR software, see here):

• Parker, RMA; Charlton CMJ (2019) Quick-start guide to the Stat-JR TREE interface version 1.0.7. Centre for Multilevel Modelling, University of Bristol, UK.
• Browne, WJ; Charlton, CMJ; Michaelides, DT; Parker, RMA; Cameron, B; Szmaragd, C; Yang, H; Zhang, Z; Goldstein, H; Jones, K; Leckie, G; Moreau, L (2019) A Beginner's Guide to Stat-JR's TREE interface version 1.0.7. Centre for Multilevel Modelling, University of Bristol & Electronics and Computer Science, University of Southampton, UK.
• Michaelides, DT; Yang, H; Browne, WJ; Charlton, CMJ; Parker, RMA (2018) Stat-JR DEEP eBook Reader and Authoring Guide version 1.0.6. Centre for Multilevel Modelling, University of Bristol & Electronics and Computer Science, University of Southampton, UK.
• Browne, WJ; Charlton, CMJ; Michaelides, DT; Parker, RMA; Cameron, B; Szmaragd, C; Yang, H; Zhang, Z; Goldstein, H; Jones, K; Leckie, G; Moreau, L (2019) An Advanced User's Guide to Stat-JR version 1.0.7. Centre for Multilevel Modelling, University of Bristol & Electronics and Computer Science, University of Southampton, UK.
• Browne, WJ; Parker, RMA; Charlton, CMJ;  Michaelides, DT; Moreau, L (2019). Stat-JR LEAF Workflow Guide version 1.0.7. Centre for Multilevel Modelling, University of Bristol & Electronics and Computer Science, University of Southampton, UK.
• Browne, WJ; Charlton, CMJ; Parker, RMA (2019). Developing a statistical analysis assistant using the Stat-JR software system version 1.0.7. Centre for Multilevel Modelling, University of Bristol, UK.