confidence_intervals: Confidence interval methods for (non)-linear models

In femiguez/nlraa: Nonlinear Regression for Agricultural Applications

Confidence interval methods for (non)-linear models

Description

Confidence interval methods for (non)-linear models

Usage

confidence_intervals(
  x,
  method = c("wald", "profile", "bootstrap", "simple-bayes", "all"),
  parm,
  level = 0.95,
  verbose = FALSE,
  ...
)

Arguments

x	object of class lm, nls, nlme, gls or gnls
method	method or methods to use. Possible options are: ‘Wald’, ‘profile’, ‘bootstrap’, ‘all’
parm	optional character string to select the parameter
level	probability level
verbose	logical (default FALSE) whether to print messages
...	additional arguments to be passed to function boot

Examples

require(car)
data(barley, package = "nlraa")
## Fit a linear model (quadratic)
fit.lm <- lm(yield ~ NF + I(NF^2), data = barley)

cfs.int <- confidence_intervals(fit.lm, method = c("wald", "bootstrap"))

fit.nls <- nls(yield ~ SSlinp(NF, a, b, xs), data = barley)

cfs.int2 <- confidence_intervals(fit.nls, method = c("wald", "profile", "bootstrap"))

femiguez/nlraa documentation built on Jan. 26, 2024, 9:31 p.m.