R: Optimal Group Assignment and Workload Allocation

# Optimal Group Assignment and Workload Allocation

## Documentation for package ‘grouper’ version 0.7.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

assign_groups | Assigns model result to the original data frame.
assign_job | Convert workload allocation to a manual-style wide table
compute_diversity | Compute total pairwise diversity for a set of students
convert_pref_mat | Convert a preference matrix to rank-based scores
dba_gc_ex001 | DBA Group Composition Data Example 001
dba_gc_ex003 | DBA Group Composition Data Example 003
dba_gc_ex004 | DBA Group Composition Data Example 004
extract_info | Extract model inputs (wrapper)
extract_multirole_info | Extract inputs for the multi-role workload allocation model
extract_params_yaml | Extract parameters from a YAML file
extract_student_info | Extract student information
get_group_pref_score | Look up a group's preference score for a topic-subtopic combination
multirole_demand_ex001 | Multi-role Demand Matrix Example 001
multirole_prefmat_ex001 | Multi-role Preference Matrix Example 001
multirole_students_ex001 | Multi-role Individual Data Example 001
pba_gc_ex002 | PBA Group Composition Data Example 002
pba_prefmat_ex002 | PBA Group Preference Data Example 002
prepare_diversity_model | Prepare the diversity-based assignment model
prepare_model | Initialise optimisation model (wrapper)
prepare_multirole_model | Prepare the multi-role workload allocation model
prepare_preference_model | Prepare the preference-based assignment model
solve_assignment | Solve a prepared model and post-process the assignment
summary_dba | Summarise a DBA result by topic-repetition group
summary_pba | Summarise a PBA result by topic-subtopic-repetition group