Author: Philip D. Waggoner <pdwaggoner@wm.edu>
Maintainer: Philip D. Waggoner <pdwaggoner@wm.edu>
Description: Based on the aggregated shares retained by individual firms or actors within a market or space, the Herfindahl-Hirschman Index (HHI) measures the level of concentration in a space. This package allows for intuitive and straightforward computation of HHI scores, requiring placement of objects of interest directly into the function. The package also includes a plot function for quick visual display of an HHI time series using any measure of time (year, quarter, month, etc.). For usage, please cite the Journal of Open Source Software paper associated with the package: Waggoner, Philip D. (2018) <doi:10.21105/joss.00828>.

Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Description: Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>.

Description: Develops algorithms for fitting, prediction, simulation
and initialization of the hidden hybrid Markov/semi-Markov model,
which also includes several tools for handling missing data,
fitting regime sweaching regression and auto-regressive
hidden hybrid Markov/semi-Markov model, and many other useful tools.

person("Afarin", "Bayat", role = "aut"),
person("Reza", "Salehian", role = "aut"))
nonparametric mixture of B-splines emissions (Langrock et al., 2015
<doi:10.1111/biom.12282>), fitting regime switching regression
(Kim et al., 2008 <doi:10.1016/j.jeconom.2007.10.002>) and auto-regressive
hidden hybrid Markov/semi-Markov model, and many other useful tools
(read for more description: <arXiv:2109.12489>).
Imports: Rcpp, Rdpack, MASS, mice, cpr, psych

Imports: Rcpp, Rdpack, MASS, mice, cpr, psych, progress

hidden hybrid Markov/semi-Markov model, spline-based nonparametric
estimation of additive state-switching models
Imports: Rcpp, Rdpack, MASS, mice, cpr, psych, progress, magic,

(read for more description: Amini et al., 2022 <doi:10.1007/s00180-022-01248-x> and its
Packaged: 2022-08-05 13:23:55 UTC; LENOVO.PIESC