Tools for Evolutionary Selection Analysis
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Documentation for package ‘lande’ version 0.1.0
Help Pages
| adaptive_landscape | Calculate Adaptive Landscape |
| analyze_disruptive_selection | Disruptive or stabilising selection on one trait |
| analyze_linear_selection | Analyze linear selection gradients (beta) |
| analyze_nonlinear_selection | Analyze nonlinear selection gradients (gamma) |
| bootstrap_selection | Bootstrap selection gradients |
| bumpus | Bumpus house sparrow survival data |
| canonical_analysis | Canonical analysis of the gamma matrix |
| check_selection_assumptions | Check the assumptions behind a selection analysis |
| compare_fitness_surfaces_data | Compare Correlated Fitness Surface vs Adaptive Landscape |
| correlated_fitness_surface | Calculate the Correlated Fitness Surface |
| crescent_pond_pupfish | Pupfish hybrid survival in two San Salvador lakes |
| detect_family | Automatically detect fitness type and GLM family |
| extract_interaction_coefficients | Extract correlational selection coefficients |
| extract_linear_coefficients | Extract linear selection coefficients |
| extract_quadratic_coefficients | Extract quadratic selection coefficients |
| finch_community | Darwin's finch community at El Garrapatero |
| finch_yearly | Medium ground finch survival from year to year |
| little_lake_pupfish | Pupfish hybrid survival in two San Salvador lakes |
| peak_difference | Compare the fitted fitness at two points of a surface |
| plot_adaptive_landscape | Plot Adaptive Landscape |
| plot_adaptive_landscape_3d | Plot Adaptive Landscape (3D Perspective) |
| plot_canonical_axes | Fitness along the canonical axes |
| plot_correlated_fitness | Plot Correlated Fitness Surface |
| plot_correlated_fitness_enhanced | Plot Enhanced Correlated Fitness Surface |
| plot_fitness_surfaces_comparison | Plot Fitness Surfaces Comparison |
| plot_temporal_landscape | Plot fitness functions and landscapes over time |
| plot_univariate_fitness | Plot Univariate Correlated Fitness Function |
| prepare_selection_data | Prepare data for selection analysis |
| print.adaptive_landscape | Print method for adaptive landscape |
| print.selection_assumptions | Print the assumption checks |
| print.selection_report | Print a selection report |
| run_app | Open the Shiny app |
| selection_coefficients | Calculate selection coefficients |
| selection_differential | Calculate selection differential (S) |
| selection_report | Standardised selection analysis report |
| temporal_landscape | Fitness functions and adaptive landscapes over time |
| univariate_spline | Estimate univariate correlated fitness function |