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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