predict_time_varying_sequence_model: Predict a time-varying sequence model
In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

View source: R/sequence-time-models.R

predict_time_varying_sequence_model

R Documentation

Predict a time-varying sequence model

Description

Predict a time-varying sequence model

Usage

predict_time_varying_sequence_model(
  model,
  time = NULL,
  groups = NULL,
  level = 0.95
)

Arguments

`model`	A fitted time-varying sequence model.
`time`	Optional numeric prediction grid.
`groups`	Optional subset of fitted groups.
`level`	Confidence level for pointwise intervals.

Value

A data frame with fitted probabilities and pointwise intervals.

Examples

# See `fit_time_varying_sequence_model()`.

gp3sequences documentation built on Aug. 23, 2026, 5:10 p.m.

gp3sequences index

Package overview README.md Bounded Non-Contiguous Subsequence Mining Choosing a Sequence-Analysis Method Consensus Sequences and Descriptive Group Comparisons Contiguous Motif Workflow Design-Aware Sequence Group Inference Extended Sequence Visualisations Getting Started with gp3sequences Latent Sequence Models and Optional Adapters Longitudinal and Panel Sequence Workflows Multichannel and Covariate-Dependent HMMs Reproducible Sequence Analysis: A Synthetic Case Study Sequence Data Validation and Preparation Sequence Distances, Clustering, and Stability Time-Varying Condition Comparisons Transition Networks and Higher-Order Models

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