Collate: 'gtfsio_error.R' 'assert_gtfs.R' 'assert_inputs.R' 'checks.R'

Title: Routing with GTFS (General Transit Feed Specification) Data
Description: Use GTFS (General Transit Feed Specification) data for routing from
nominated start and end stations, and for extracting isochrones from
Imports: data.table, methods, Rcpp (>= 0.12.6)
Suggests: alphahull, geodist, here, hms, lubridate, lwgeom, knitr,

Description: Use GTFS (General Transit Feed Specification) data
for routing from nominated start and end stations, and for extracting
isochrones from nominated start station.
Imports: cli, data.table, methods, Rcpp (>= 0.12.6)
Suggests: alphahull, digest, dodgr, geodist, here, hms, knitr, leafem,
lubridate, lwgeom, mapview, pbapply, rmarkdown, sf, testthat

Description: Use GTFS (General Transit Feed Specification) data for
routing from nominated start and end stations, and for extracting
Imports: cli, data.table, geodist, methods, Rcpp (>= 0.12.6)
Suggests: alphahull, digest, dodgr, here, hms, knitr, leafem,
lubridate, lwgeom, mapview, markdown, pbapply, rmarkdown, sf,

Title: General Transit Feed Specification (GTFS) Editing and Analysing
Description: Utility functions to read, manipulate, analyse and
write transit feeds in the General Transit Feed Specification (GTFS)
Imports: checkmate, data.table, methods, sf, sfheaders, units, utils,
Suggests: covr, knitr, lwgeom, rmarkdown, testthat

Description: Utility functions to read, manipulate, analyse and write
transit feeds in the General Transit Feed Specification (GTFS) data
Imports: checkmate, data.table, gtfsio (>= 1.0.0), sf, sfheaders,
Suggests: covr, ggplot2, knitr, lwgeom, rmarkdown, testthat, zip

Suggests: covr, ggplot2, knitr, rmarkdown, testthat, zip

Imports: checkmate, curl, data.table, gtfsio (>= 1.0.0), processx, sf,
Suggests: covr, ggplot2, jsonlite, knitr, rmarkdown, testthat,

Title: Apply Generalizability Theory with R
Authors@R: person(family = "Moore", given = c("Christopher", "T."), role = c("aut", "cre"), email = "moor0554@umn.edu")
Description: Estimates variance components, generalizability coefficients,
universe scores, and standard errors when observed scores contain variation from
one or more measurement facets (e.g., items and raters).
Maintainer: Christopher T. Moore <moor0554@umn.edu>