check_date | Check date format |
coef.fHMM_model | Model coefficients |
compare_models | Compare multiple models |
compute_ci | Compute confidence intervals |
compute_residuals | Compute (pseudo-) residuals |
compute_T_star | Compute lengths of fine-scale chunks |
dax | Deutscher Aktienindex (DAX) index data |
dax_model_2n | DAX 2-state HMM with normal distributions |
dax_model_3t | DAX 3-state HMM with t-distributions |
dax_vw_model | DAX/VW hierarchical HMM with t-distributions |
decode_states | Decode the underlying hidden state sequence |
dfCon2dfUncon | This function un-constrains the constrained degrees of... |
dfUncon2dfCon | This function constrains the un-constrained degrees of... |
download_data | Download financial data from Yahoo Finance |
fHMM_colors | Set color scheme for visualizations |
fHMM_data | Constructor of an 'fHMM_data' object |
fHMM_events | Checking events |
fHMM_model | Constructor of a model object |
fHMM-package | fHMM: Fitting Hidden Markov Models to Financial Data |
fHMM_parameters | Set and check model parameters |
fHMM_sdds | Define state-dependent distributions |
find_closest_year | Find the closest year to a given date |
fit_model | Model fitting |
Gamma2delta | This function computes the stationary distribution of a... |
Gamma2gammasCon | This function constrains the non-diagonal matrix elements of... |
Gamma2gammasUncon | This function un-constrains the non-diagonal matrix elements... |
gammasCon2Gamma | This function builds a transition probability matrix of... |
gammasCon2gammasUncon | This function un-constrains the constrained non-diagonal... |
gammasUncon2Gamma | This function builds a transition probability matrix from... |
gammasUncon2gammasCon | This function constrains non-diagonal elements 'gammasUncon'... |
is_number | Check for integers |
is_tpm | Check for transition probability matrix |
match_all | Best-possible match of two numeric vectors |
muCon2muUncon | This function un-constrains the constrained expected values... |
muUncon2muCon | This function constrains the un-constrained expected values... |
nLL_hhmm | Negative log-likelihood function of an HHMM |
nLL_hmm | Negative log-likelihood function of an HMM |
npar | Number of model parameters |
par2parCon | This function transforms an object of class 'fHMM_parameters'... |
par2parUncon | This function transforms an object of class 'fHMM_parameters'... |
parameter_labels | Create labels for estimated parameters |
parCon2par | This function transforms an object of class 'parCon' into an... |
parCon2parUncon | This function transforms an object of class 'parCon' into an... |
parUncon2par | This function transforms an object of class 'parUncon' into... |
parUncon2parCon | This function transforms an object of class 'parUncon' into... |
plot.fHMM_data | Plot method for an object of class 'fHMM_data' |
plot.fHMM_model | Plot method for an object of class 'fHMM_model' |
plot_ll | Visualization of log-likelihood values |
plot_pr | Visualize pseudo residuals |
plot_sdds | Visualization of estimated state-dependent distributions |
plot_ts | Visualize time series |
predict.fHMM_model | Prediction |
prepare_data | Prepare data |
read_data | Read data |
reorder_states | Reorder estimated states |
residuals.fHMM_model | Residuals |
sample_tpm | Sample transition probability matrices |
set_controls | Set and validate controls |
sigmaCon2sigmaUncon | This function un-constrains the constrained standard... |
sigmaUncon2sigmaCon | This function constrains the un-constrained standard... |
sim_model_2gamma | Simulated 2-state HMM with gamma distributions |
sim_model_4lnorm | Simulated 4-state HMM with log-normal distributions |
simulate_data | Simulate data |
simulate_markov_chain | Simulate Markov chain |
simulate_observations | Simulate state-dependent observations |
spx | Standard & Poor’s 500 (S&P 500) index data |
unemp | Unemployment rate data USA |
unemp_spx_model_3_2 | Unemployment rate and S&P 500 hierarchical HMM |
vw | Volkswagen AG (VW) stock data |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.