Download data from the Ada and Archibald MacLeish Field 
    Station in Whately, MA. The Ada 
    and Archibald MacLeish Field Station is a 260-acre patchwork of 
    forest and farmland located in West Whately, MA that provides opportunities 
    for faculty and students to pursue environmental research, outdoor 
    education, and low-impact recreation 
    (see <https://www.smith.edu/about-smith/sustainable-smith/macleish> for more information). 
    This package contains 
    weather data over several years, and spatial data on various man-made and 
    natural structures.

Following the common types of measures of uncertainty for parameter estimation, two measures of uncertainty were proposed for model selection, see Liu, Li and Jiang (2020) <doi:10.1007/s11749-020-00737-9>. The first measure is a kind of model confidence set that relates to the variation of model selection, called Mac. The second measure focuses on error of model selection, called LogP. They are all computed via bootstrapping. This package provides functions to compute these two measures. Furthermore, a similar model confidence set adapted from Bayesian Model Averaging can also be computed using this package.

Procedures for simulating biomes by equilibrium vegetation 
  models, with a special focus on paleoenvironmental applications.
  Three widely used equilibrium biome models are currently implemented in 
  the package: the Holdridge Life Zone (HLZ) system (Holdridge 1947, 
  <doi:10.1126/science.105.2727.367>), the Köppen-Geiger classification 
  (KGC) system (Köppen 1936, 
  <https://koeppen-geiger.vu-wien.ac.at/pdf/Koppen_1936.pdf>) and the 
  BIOME model (Prentice et al. 1992, <doi:10.2307/2845499>). Three 
  climatic forest-steppe models are also implemented.
  An approach for estimating monthly time series of relative sunshine 
  duration from temperature and precipitation data (Yin 1999, 
  <doi:10.1007/s007040050111>) is also adapted, allowing 
  process-based biome models to be combined with high-resolution 
  paleoclimate simulation datasets (e.g., CHELSA-TraCE21k v1.0 dataset: 
  <https://chelsa-climate.org/chelsa-trace21k/>).