Title: Import 'SPSS', 'Stata' and 'SAS' Files
'ReadStat' C library <https://github.com/WizardMac/ReadStat>. Package includes
preliminary support for writing 'Stata' and 'SPSS' formats.

Title: Import and Export 'SPSS', 'Stata' and 'SAS' Files
Imports: Rcpp (>= 0.11.4), readr (>= 0.1.0), hms, tibble

Imports: Rcpp (>= 0.11.4), readr (>= 0.1.0), hms, tibble, forcats (>=

comment = "Author of included ReadStat code"

Suggests: covr, fs, knitr, rmarkdown, testthat

Description: Import foreign statistical formats into R via the
Suggests: covr, fs, knitr, rmarkdown, testthat, pillar (>= 1.1.1), cli,

Suggests: covr, fs, knitr, rmarkdown, testthat, pillar (>= 1.4.0), cli,

Imports: forcats (>= 0.2.0), hms, methods, Rcpp (>= 0.11.4), readr (>=

Imports: forcats (>= 0.2.0), hms, methods, readr (>= 0.1.0), rlang (>=
0.4.0), tibble, tidyselect, vctrs (>= 0.3.0)
Suggests: cli, covr, crayon, fs, knitr, pillar (>= 1.4.0), rmarkdown,
SystemRequirements: GNU make, C++11, zlib

person("Evan", "Miller", role = c("aut", "cph"),
Imports: cli (>= 3.0.0), forcats (>= 0.2.0), hms, lifecycle, methods,
readr (>= 0.1.0), rlang (>= 0.4.0), tibble, tidyselect, vctrs
Suggests: covr, crayon, fs, knitr, pillar (>= 1.4.0), rmarkdown,
SystemRequirements: GNU make, C++11, zlib: zlib1g-dev (deb), zlib-devel
Packaged: 2022-04-15 15:00:04 UTC; hadleywickham

Packaged: 2022-08-22 18:39:56 UTC; hadleywickham

Title: hawkes process simulation and calibration toolkit
Description: The package allows to simulate Hawkes process both in monovariate and multivariate settings. It gives functions to compute different moments of the number of jumps of the process on a given interval, such as mean, variance or autocorrelation of process jumps on time intervals separated by a lag.

Title: Hawkes process simulation and calibration toolkit
Description: The package allows to simulate Hawkes process both in univariate and multivariate settings. It gives functions to compute different moments of the number of jumps of the process on a given interval, such as mean, variance or autocorrelation of process jumps on time intervals separated by a lag.