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url: https://loelschlaeger.github.io/fHMM/
home:
title: Fit hidden Markov models to financial data
authors:
Lennart Oelschläger:
href: https://loelschlaeger.de
Timo Adam:
href: https://timoadam.github.io/
Rouven Michels:
href: https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=241029889
template:
bootstrap: 5
bslib:
primary: "#0054AD"
border-radius: 0.5rem
btn-border-radius: 0.25rem
reference:
- title: Data preparation
desc: Use these functions to prepare or simulate financial data.
contents:
- set_controls
- download_data
- prepare_data
- fHMM_parameters
- plot.fHMM_data
- title: Model estimation
desc: Use these function for model estimation and state decoding.
contents:
- fit_model
- decode_states
- reorder_states
- title: Model evaluation
desc: Use these functions to evaluate a fitted model.
contents:
- coef.fHMM_model
- compare_models
- compute_residuals
- plot.fHMM_model
- fHMM_colors
- fHMM_events
- predict.fHMM_model
- title: Models
desc: The following pre-computed models are included in the package.
contents:
- has_keyword("model")
- title: Small utilities
desc: These functions may be useful beyond {fHMM}.
contents:
- has_keyword("utils")
- title: internal
desc: These functions are not user-level.
contents:
- has_keyword("internal")