This function calibrates new allometric equations from sampling previous ones. New allometric equations are calibrated for each species and location by resampling the original compiled equations; equations with a larger sample size, and/or higher taxonomic rank, and climatic similarity with the species and location in question are given a higher weight in this process.

## Usage

```
est_params(
genus,
coords,
species = NULL,
new_eqtable = NULL,
wna = 0.1,
w95 = 500,
nres = 10000
)
```

## Arguments

- genus
a character vector, containing the genus (e.g. "Quercus") of each tree.

- coords
a numeric vector of length 2 with longitude and latitude (if all trees were measured in the same location) or a matrix with 2 numerical columns giving the coordinates of each tree.

- species
a character vector (same length as genus), containing the species (e.g. "rubra") of each tree. Default is

`NULL`

, when no species identification is available.- new_eqtable
Optional. An equation table created with the

`new_equations()`

function. Default is the compiled*allodb*equation table.- wna
a numeric vector, this parameter is used in the

`weight_allom()`

function to determine the dbh-related and sample-size related weights attributed to equations without a specified dbh range or sample size, respectively. Default is 0.1.- w95
a numeric vector, this parameter is used in the

`weight_allom()`

function to determine the value at which the sample-size-related weight reaches 95% of its maximum value (max=1). Default is 500.- nres
number of resampled values. Default is "1e4".

## Value

An object of class "data.frame" of fitted coefficients (columns) of the non-linear least-square regression: $$AGB = a * dbh ^ b + e, \space \mathit{with} \space e ~ N(0, sigma^2)$$

## Examples

```
# calibrate new allometries for all Lauraceae species
lauraceae <- subset(scbi_stem1, Family == "Lauraceae")
est_params(
genus = lauraceae$genus,
species = lauraceae$species,
coords = c(-78.2, 38.9)
)
#> # A tibble: 2 × 7
#> genus species long lat a b sigma
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Lindera benzoin -78.2 38.9 0.0834 2.52 354.
#> 2 Sassafras albidum -78.2 38.9 0.0817 2.52 339.
```