FlexGAM (version 0.7.2)

Methods: Extract model parameters

Description

These are the standard functions to extract parameters of the estimated object.

Usage

# S3 method for flexgam
coefficients(object, ...)
# S3 method for flexgam
coef(object, ...)
# S3 method for flexgam
fitted(object, ...)
# S3 method for flexgam
fitted.values(object, ...)
# S3 method for flexgam
residuals(object, ...)
# S3 method for flexgam
resid(object, ...)

Arguments

object

Object of class flexgam.

...

Currently not used

Value

Coefficients, fitted values or residuals of the given object.

Details

These functions extract the coefficients, fitted values or residuals of the given object.

References

Spiegel, Elmar, Thomas Kneib and Fabian Otto-Sobotka. Generalized additive models with flexible response functions. Statistics and Computing (2017). https://doi.org/10.1007/s11222-017-9799-6

See Also

flexgam

Examples

# NOT RUN {
set.seed(1)
n <- 1000
x1 <- runif(n)
x2 <- runif(n)
x3 <- runif(n)
eta_orig <- -1 + 2*sin(6*x1) + exp(x2) + x3
pi_orig <- pgamma(eta_orig, shape=2, rate=sqrt(2))
y <- rbinom(n,size=1,prob=pi_orig)

Data <- data.frame(y,x1,x2,x3)
formula <- y ~ s(x1,k=20,bs="ps") + s(x2,k=20,bs="ps") + x3

# Fix smoothing parameters to save computational time.
control2 <- list("fix_smooth" = TRUE, "quietly" = TRUE, "sm_par_vec" = 
                     c("lambda" = 100, "s(x1)" = 2000, "s(x2)" = 9000))

set.seed(2)
model_2 <- flexgam(formula=formula, data=Data, type="FlexGAM2", 
                   family=binomial(link=logit), control = control2)

coefficients(model_2)

# }