| param_4 | R Documentation |
This matrix contains the posterior distribution of the parameters of Equation 4 of Chave et al. (2014), obtained in a Bayesian framework with uninformative priors through a Metropolis algorithm.
data("param_4")
A data frame with 1001 observations on the following 3 variables.
intercept: Vector of intercept values
logagbt: Vector of the model coefficients associated with the product wood density * diameter^2 * height
sd: Vector of model residual standard error (RSE) values
This dataset is used in the function AGBmonteCarlo().
Chave et al. (2014) Improved allometric models to estimate the aboveground biomass of tropical trees, Global Change Biology, 20 (10), 3177-3190
data(param_4)
str(param_4)
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