Man pages for forestecology
Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees
| add_buffer_variable | Identify trees in the buffer region |
| autoplot.comp_bayes_lm | Plot Bayesian model parameters |
| blocks_ex | Example cross validation grid |
| census_1_ex | Example input census data for package use |
| census_2008_bw | Michigan Big Woods research plot data |
| census_2014_bw | Michigan Big Woods research plot data |
| census_2_ex | Example input census data for package use |
| comp_bayes_lm | Fit Bayesian competition model |
| comp_bayes_lm_ex | Example bayesian competition model fit |
| compute_buffer_region | Compute buffer to a region. |
| compute_growth | Compute growth of trees |
| create_bayes_lm_data | Create input data frame for Bayesian regression |
| create_focal_vs_comp | Create focal versus competitor trees data frame |
| focal_vs_comp_distance | Return all pairwise distances between two data frames of... |
| focal_vs_comp_ex | Example focal versus comp data frame |
| forestecology | 'forestecology' package |
| growth_ex | Example growth data frame for small example |
| growth_spatial_ex | Example growth data frame with spatial data for small example |
| growth_toy | Example input data for 'create_focal_vs_comp()' |
| pipe | Pipe operator |
| predict.comp_bayes_lm | Make predictions based on fitted Bayesian model |
| reexports | Objects exported from other packages |
| run_cv | Run the bayesian model with spatial cross validation |
| species_bw | Phylogenic groupings and trait based clustering of various... |
| study_region_bw | Bigwoods forest study region boundary |
| study_region_ex | Study region for example data |
