print {causalSLSE} | R Documentation |
Print Methods
Description
Print methods for different objects from the package.
Usage
## S3 method for class 'cslseModel'
print(x, which=c("Model", "selKnots", "Pvalues"),
digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'slseModel'
print(x, which=c("Model", "selKnots", "Pvalues"),
digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'cslse'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'cslseFit'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'slseFit'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
## S3 method for class 'summary.cslse'
print(x, digits = max(3L, getOption("digits") - 3L),
signif.stars = getOption("show.signif.stars"),
beta=FALSE, knots = FALSE,...)
## S3 method for class 'summary.cslseFit'
print(x, groups, digits = max(3L, getOption("digits") - 3L),
signif.stars = getOption("show.signif.stars"),
...)
## S3 method for class 'summary.slseFit'
print(x, digits = max(3L, getOption("digits") - 3L),
signif.stars = getOption("show.signif.stars"),
...)
## S3 method for class 'slseKnots'
print(x, header=c("None", "All", "Select"),
digits = max(3L, getOption("digits") - 3L), ...)
Arguments
x |
A model or a fit object. |
digits |
The number of digits to print. |
signif.stars |
Should we print the significant stars? |
beta |
Should we print the coefficient matrix of the basis functions? |
knots |
Should we print the set of knots? |
which |
What info we should print? It prints a summary of the
model when set to |
header |
What description of the object should be printed. |
groups |
The names of the group to be printed. By default, they are all printed. |
... |
Argument for other types of objects. |
Value
All methods return NULL
invisibly.
Examples
## For cslseModel objects
data(simDat3)
mod1 <- cslseModel(Y ~ Z | ~ X1 * X2, data = simDat3)
print(mod1)
## For cslse objects
causal <- causalSLSE(mod1)
print(causal)
## For summary.cslse objects
s <- summary(causal)
print(s)
## For cslseFit objects
fit <- estSLSE(mod1)
print(fit)
## For summary.cslseFit objects
summary(fit)
[Package causalSLSE version 0.3-1 Index]