outputs: Prints object of class flexgam

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Prints information for objects of class flexgam.

Usage

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## S3 method for class 'flexgam'
print(x, ...)
## S3 method for class 'flexgam'
summary(object, ...)

Arguments

object

Object of class flexgam.

x

Object of class flexgam.

...

Currently not used

Details

print prints a short list of information about the given object. summary prints the same list as print and adds the values of the estimated coefficients and the corresponding standard deviations.

Value

None, only printing of object details.

Author(s)

Elmar Spiegel

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

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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)

print(model_2)
summary(model_2)

FlexGAM documentation built on May 2, 2019, 2:16 a.m.