First derivatives of fitted GAM functions
The first derivative of the smooth functions of a GAM model calculated using finite differences.
fderiv(model, ...) ## S3 method for class 'gam' fderiv( model, newdata, term, n = 200, eps = 1e-07, unconditional = FALSE, offset = NULL, ... ) ## S3 method for class 'gamm' fderiv(model, ...)
model |
A fitted GAM. Currently only models fitted by |
... |
Arguments that are passed to other methods. |
newdata |
a data frame containing the values of the model covariates at which to evaluate the first derivatives of the smooths. |
term |
character; vector of one or more terms for which derivatives are required. If missing, derivatives for all smooth terms will be returned. |
n |
integer; if |
eps |
numeric; the value of the finite difference used to approximate the first derivative. |
unconditional |
logical; if |
offset |
numeric; value of offset to use in generating predictions. |
An object of class "fderiv" is returned.
Gavin L. Simpson
load_mgcv() dat <- gamSim(1, n = 400, dist = "normal", scale = 2) mod <- gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = dat, method = "REML") ## first derivatives of all smooths... fd <- fderiv(mod) ## ...and a selected smooth fd2 <- fderiv(mod, term = "x1") ## Models with factors set.seed(2) dat <- gamSim(4, n = 400, dist = "normal", scale = 2) mod <- gam(y ~ s(x0) + s(x1) + fac, data = dat, method = "REML") ## first derivatives of all smooths... fd <- fderiv(mod) ## ...and a selected smooth fd2 <- fderiv(mod, term = "x1")
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