|
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 trees |
|
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() |
|
predict(<comp_bayes_lm>)
|
Make predictions based on fitted Bayesian model |
|
run_cv()
|
Run the bayesian model with spatial cross validation |
|
species_bw
|
Phylogenic groupings and trait based clustering of various tree species |
|
study_region_bw
|
Bigwoods forest study region boundary |
|
study_region_ex
|
Study region for example data |