dsp_spec: Model Specification

In dsp: Dynamic Shrinkage Process and Change Point Detection

Model Specification

Description

Method for creating dsp specification object prior to fitting.

Method for printing basic information about the model specification

Usage

dsp_spec(family, model, ...)

## S3 method for class 'dsp_spec'
print(x, ...)

Arguments

family	A character string specifying the model family. Must be one of: "gaussian": Gaussian family. "negbinom": Negative binomial family.
model	A character string specifying the model type: family = "gaussian": "changepoint": Change point detection with Adaptive Bayesian Changepoint analysis and local Outlier (ABCO), "smoothing": Bayesian smoothing, "regression": Time-varying regression, "bspline": Bayesian smoothing with B-spline for irregularly spaced or functional time-series. family = "negbinom": "smoothing": Bayesian smoothing.
...	currently not used
x	object of class dsp_spec from dsp_spec()

Value

A list containing the model specification.

Examples

model_spec <- dsp_spec(family = "gaussian",
                      model = "changepoint")


print(model_spec)

dsp documentation built on Aug. 21, 2025, 5:29 p.m.