Package: rexpokit 0.26.6.14

rexpokit: R Wrappers for EXPOKIT; Other Matrix Functions

Wraps some of the matrix exponentiation utilities from EXPOKIT (<http://www.maths.uq.edu.au/expokit/>), a FORTRAN library that is widely recommended for matrix exponentiation (Sidje RB, 1998. "Expokit: A Software Package for Computing Matrix Exponentials." ACM Trans. Math. Softw. 24(1): 130-156). EXPOKIT includes functions for exponentiating both small, dense matrices, and large, sparse matrices (in sparse matrices, most of the cells have value 0). Rapid matrix exponentiation is useful in phylogenetics when we have a large number of states (as we do when we are inferring the history of transitions between the possible geographic ranges of a species), but is probably useful in other ways as well. NOTE: In case FORTRAN checks temporarily get rexpokit archived on CRAN, see archived binaries at GitHub in: nmatzke/Matzke_R_binaries (binaries install without compilation of source code).

Authors:Nicholas J. Matzke [aut, cre, cph], Roger B. Sidje [aut, cph], Drew Schmidt [aut]

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rexpokit.pdf |rexpokit.html
rexpokit/json (API)
NEWS

# Install 'rexpokit' in R:
install.packages('rexpokit', repos = c('https://nmatzke.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/nmatzke/rexpokit/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

4.56 score 1 stars 182 scripts 625 downloads 11 exports 1 dependencies

Last updated 5 months agofrom:c614ed8ce0. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-win-x86_64OKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024
R-4.4-win-x86_64OKOct 25 2024
R-4.4-mac-x86_64OKOct 25 2024
R-4.4-mac-aarch64OKOct 25 2024
R-4.3-win-x86_64OKOct 25 2024
R-4.3-mac-x86_64OKOct 25 2024
R-4.3-mac-aarch64OKOct 25 2024

Exports:coo2matexpmexpokit_dgexpv_Qmatexpokit_dgpadm_Qmatexpokit_dmexpv_Qmatexpokit_wrapalldgexpv_tvalsexpokit_wrapalldmexpv_tvalsmat2coomat2coo_forloopmaxentSparseM_coo_to_REXPOKIT_coo

Dependencies:Rcpp