New evaluate_smooth() alike
New evaluate_smooth() alike
smooth_estimates(object, ...) ## S3 method for class 'gam' smooth_estimates( object, smooth = NULL, n = 100, data = NULL, unconditional = FALSE, overall_uncertainty = TRUE, dist = 0.1, unnest = TRUE, ... )
object |
an object of class |
... |
arguments passed to other methods. |
smooth |
character; a single smooth to evaluate. |
n |
numeric; the number of points over the range of the covariate at which to evaluate the smooth. |
data |
a vector or data frame of points at which to evaluate the smooth. |
unconditional |
logical; should confidence intervals include the
uncertainty due to smoothness selection? If |
overall_uncertainty |
logical; should the uncertainty in the model constant term be included in the standard error of the evaluate values of the smooth? |
dist |
numeric; if greater than 0, this is used to determine when
a location is too far from data to be plotted when plotting 2-D smooths.
The data are scaled into the unit square before deciding what to exclude,
and |
unnest |
logical; unnest the smooth objects? |
A data frame (tibble), which is of class "smooth_estimates".
load_mgcv()
dat <- gamSim(1, n = 400, dist = "normal", scale = 2)
m1 <- gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = dat, method = "REML")
## evaluate all smooths
smooth_estimates(m1)
## or selected smooths
smooth_estimates(m1, smooth = c("s(x0)", "s(x1)"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.