Title: Summarizes CRAN Check Results in the Terminal
Authors@R: c(person("Francois", "Michonneau", role=c("aut", "cre"),
Description: The CRAN check results in your R terminal.
Imports: clisymbols (>= 1.0.0), crayon (>= 1.3.2), curl (>= 2.2), dplyr

Title: Summarize CRAN Check Results in the Terminal
Imports: clisymbols (>= 1.0.0), crayon (>= 1.3.2), curl (>= 2.2), httr
Suggests: progress, testthat, covr, knitr, rmarkdown, dplyr

Suggests: covr, dplyr, knitr, progress, rmarkdown, testthat

Description: The CRAN check results and where your package stands in the
CRAN submission queue in your R terminal.

Imports: clisymbols (>= 1.0.0), crayon (>= 1.3.2), curl (>= 2.2), httr2

Title: Fit Continuous-Time State-Space Models for Filtering Argos
Description: Fits continuous-time random walk and correlated random walk state-space models to filter Argos satellite location data. Template Model Builder ('TMB') is used for fast estimation. The Argos data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. Separate measurement models are used for these two data types. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Jonsen I, McMahon CR, Patterson TA, Auger-Methe M, Harcourt R, Hindell MA, Bestley S (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Imports: dplyr, tibble, argosfilter, ggplot2, gridExtra, lubridate,
Suggests: testthat, covr, knitr, rmarkdown, rnaturalearth, rgeos,

Title: Fit Continuous-Time State-Space and Latent Variable Models for
Filtering Argos Satellite (and Other) Telemetry Data and
Description: Fits continuous-time random walk and correlated random walk state-space models to filter animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Methe M', 'Harcourt R', 'Hindell MA', 'Bestley S' (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Imports: dplyr (>= 0.8.0), tibble (>= 2.1.3), argosfilter, ggplot2 (>=
stringr, tidyr, future (>= 1.13.0), furrr (>= 0.1.0),
Suggests: testthat, covr, knitr, rmarkdown, units, rgeos
SystemRequirements: C++11, GDAL (>= 2.4.2), GEOS (>= 3.7.0), PROJ (>=