Matrix Exponential using Krylov Subspace Routines
Implements functions from 'EXPOKIT'
(<https://www.maths.uq.edu.au/expokit/>) to calculate
matrix exponentials, Sidje RB, (1998) <doi:10.1145/285861.285868>.
Includes functions for small dense matrices along with functions
for large sparse matrices. The functions for large sparse matrices
implement Krylov subspace methods which help minimise the
computational complexity for matrix exponentials. 'Kexpmv' can be
utilised to calculate both the matrix exponential in isolation
along with the product of the matrix exponential and a vector.

Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2020) <arXiv:2004.05964>.
c(person("Shusei", "Eshima", email = "shuseieshima@g.harvard.edu", role = c("aut","cre")),
person("Tomoya", "Sasaki", email = "tomoyas@mit.edu", role = c("aut")),
person("William", "Lowe", email = "wlowe@princeton.edu", role = c("ctb")),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut")))
Rcpp, dplyr, fastmap, ggplot2, ggrepel, magrittr, Matrix,
parallel, purrr, quanteda, rlang, stats, stringr, tibble, tidyr
Shusei Eshima [aut, cre],
Tomoya Sasaki [aut],
William Lowe [ctb],
Kosuke Imai [aut]

c(person("Shusei", "Eshima", email = "shuseieshima@g.harvard.edu", role = c("aut","cre"), comment = c(ORCID = "0000-0003-3613-4046")),
person("Tomoya", "Sasaki", email = "tomoyas@mit.edu", role = c("aut")),
person("William", "Lowe", email = "wlowe@princeton.edu", role = c("ctb")),
person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut")))
Rcpp, dplyr, fastmap, ggplot2, ggrepel, magrittr, Matrix,
parallel, purrr, quanteda, rlang, stats, stringr, tibble, tidyr
(>= 1.0.0)
Shusei Eshima [aut, cre] (<https://orcid.org/0000-0003-3613-4046>),
Tomoya Sasaki [aut],
William Lowe [ctb],
Kosuke Imai [aut]