bankfit: Function that fits a list of models on a given dataframe.

In biometrics: A Package for Biometrics and Modelling

Function that fits a list of models on a given dataframe.

Description

Function that fits a list of models on a given dataframe.

Usage

bankfit(modlist, data, file = NULL, file.full = FALSE, trace = FALSE, ...)

Arguments

modlist	List that contains the models to be fitted. To know the structure, see examples below.
data	dataframe that contains the values that correspond to observed values and variables as columns.
file	a (writable binary-mode) connection or the name of the file where the data will be saved (when tilde expansion is done).
file.full	wheter to include all output (TRUE) or just the fitted models plus their respective pred.f field (FALSE, default).
trace	logical value indicating if a trace of the iteration progress of stats::nls() should be printed (TRUE) or not (FALSE, default).
...	Other options used to control de behavior of stats::nls().

Examples

model.list <- list(
    mod1 = list(expr = vtot ~ I(dap^2) + I(dap^2 * atot^2) +I(d6),
                pred.f = function(x, ...) x,
                type = "lm"),
    mod2 = list(expr = I(log(vtot)) ~ I(log(dap)) + I(log(atot)),
                pred.f = function(x, ...) exp(x),
                type = "lm"))

## example dataframe
df <- treevolruca2
head(df)

## fitting models to dataframe
bankfit(modlist = model.list, data = df)

biometrics documentation built on March 20, 2026, 5:09 p.m.