Changes in version 1.2-06 - various minor issues fixed including: build against TMB 1.9.11, fixes error when grad specified in sim_fit(). Changes in version 1.2 - addition of sim_post(), a function for posterior simulations from SSM fits, conditional on data and movement parameters - addition of plot method for sim_post objects - sim_filter() can now use arbitrary variables, including user-appended environmental variables, for filtering tracks simulated with sim_fit() - sim_fit() now simulates tracks from user-specified start and end locations that differ from the estimated track start and end. - fit_ssm() now handles "generic location" data provided the locations have x and y standard errors. These data can be light-level geolocations, acoustic telemetry positions, or other location data. Input data should have lc = "GL" for all generic locations. - a change to the min.dt argument in fit_ssm(), the default is now min.dt = 0 (no minimum time interval between observations, but any subsequent observations that occur at the same time are ignored when fitting an SSM). - fixed an issue with high temporal resolution data, where prediction times exactly match observation times when observations occur 1 s apart. This caused an error when fitting SSM's. Changes in version 1.1-06 - fixes issue with route_path() where simulated tracks that are entirely on land resulted in an error Changes in version 1.1-04 - fixes issue with grab() where multiple data sets with lon modulo 0,360 resulted in an error - fixes issue with route_path() where rerouting tracks that have no locations on land resulted in an error. In these cases, route_path() now returns a tibble identical to that supplied (fitted or predicted locations) and issues a message on the console. Changes in version 1.1-02 - update citations to include new aniMotum R package paper in Methods in Ecology and Evolution as the primary reference. Changes in version 1.1-01 - fixes issue with map() where function could become paused one some calls. Changes in version 1.1 - package name change to coincide with Methods in Ecology and Evolution manuscript: Jonsen et al. aniMotum, an R package for animal movement data: rapid quality control, behavioural estimation and simulation. Accepted 06/12/2022. - adds format_data() to pre-process non-default data formats into that expected by fit_ssm - adds greater flexibility for input data formats (via new arguments to fit_ssm), related to format_data - fixes an issue with input data as an sf-tibble or sf-data.frame that caused an error when fitting SSM's via fit_ssm - when installing package from source, C++ code is automatically compiled against the existing TMB package version. This should eliminate the warning message on installation and package load that some users may have experienced previously - updated Overview vignette, describing input data structures in greater detail Changes in version 1.0-5 - adds route_path() a wrapper function calling pathroutr to re-route fit_ssm estimated or simfit simulated tracks around land barriers - adds a move persistence model via fit_ssm(model = "mp") to allow simultaneous estimation of locations and move persistence. This approach may be preferable to using fit_mpm() on a fit_ssm model object. fit_mpm() is retained for less error-prone (GPS) location data - adds option for move persistence estimates to be normalised to 0,1 in grab(), either on tracks separately or as a group for a relative measure that spans 0 - 1. - adds sim_filter() to calculate similarity between simulated and ssm-estimated tracks, and returns the most similar simulated tracks based on a user-specified quantile - adds mapping function map() to replace fmap() for faster, more flexible estimated track maps & fixes to coastline and other mapping issues for tracks that cross -180,180 - adds rosm map tile layers to map() via ggspatial::annotation_map_tile for more detailed coastlines on large-scale maps - adds faster crw model fitting via fit_ssm() by turning off travel rate standard error (s.se) estimation in ssm_control() as the default. SE estimation can be turned on via control = ssm_control(se = TRUE). - adds a summary function for displaying information about SSM fits. - replaces hcl.colors("Zissou1") palette for most plots - Zissou1 was fun but not colour blind-friendly; in most cases "Cividis" is now the default but users can specify any hcl.pals() palette, using the pal argument in many of the plot functions. - fit object s3 classes fG_ssm, fG_mpm migrated to ssm_df, mpm_df - generic plot method s3 classes migrated to plot.ssm_df, plot.mpm_df, plot.osar, plot.sim, plot.simfit - adds new vignettes for more comprehensive documentation of package features Changes in version 0.7-6 - adds fixes to example data for testing/examples so pkg builds on solaris and various linux boxes with older GDAL/PROJ libraries Changes in version 0.7-5 - adds sim() to simulate animal tracks using the rw, crw or mpm process models. The rw and crw models can also be specified with state-switching between multiple behavioural states. Tracks can be simulated with or without Argos (LS or KF) errors, as time-regular or time-irregular - adds simfit() to simulate animal tracks from fit_ssm fit objects - adds generic plot() methods for sim and simfit objects - adds fit_mpm can take a fit_ssm object directly as input, removing need for user to manipulate data prior to calling fit_mpm - adds fit_mpm can fit to SSM-predicted (time regular) or SSM-fitted (time irregular) locations, via what argument - adds fit_mpm can fit to lon,lat or x,y coordinates, via coords argument - adds ssm_control() for centralized control over optimizer and optimization method choices, optimizer parameters, and foieGras model parameter bounds - adds faster and more stable optimization - adds time-series and acf() plots as option when visualising prediction residuals calculated from osar() - removes hist plots as option when visualising prediction residuals calculated from osar() - removes (with deprecation errors) verbose, optim, optMeth, and lpsi arguments to fit_ssm - replaces wesanderson::wes_palette("Zissou1") with hcl.colors("Zissou1") and provides arguments to change this default palette Changes in version 0.6-9 - adds wesanderson::wes_palette("Zissou1") as default palette for plots/maps - generic plot method for fG_ssm objects can now plot individuals all on 1 page (pages = 1) or on separate pages (pages = 0) - 2-d (track) plots now include confidence ellipses on estimated locations - generic plot method for fG_mpm objects now available - mapping function (fmap) can optionally take an fG_mpm object to colour locations by behavioural index (gamma_t) Changes in version 0.6-7 - adds ability to fit move persistence models to temporally regular OR irregular location data - adds ability to turn off predicted locations by setting time.step=NA causing locations to be estimated only at observation times - adds ability to fit to Argos - GPS or Argos - GLS locations simultaneously when combined in a single input data.frame - adds ability to specify an alternate emf (Error Multiplication Factor) data.frame for Least-Squares and/or GPS locations - adds human-readable/understandable errors and warnings with (occasional) advice - turns off estimation of psi parameter (ellipse semi-minor axis re-scaling factor) when rw process model is fit to Argos KF/KS data - removes reliance on dplyr::do, which is superseded as of dplyr 1.0.0 - replaces dplyr progressbar with parameter trace when fitting SSM to single or multiple data sets in default verbose mode 1 - replaces argosfilter::sdafilter in favour of trip::sda (which is a faster, vectorized version of the former) to prefilter outlier locations Changes in version 0.4.0 - adds move persistence models for behavioural inference along animal tracks, via fit_mpm() - adds ability to fit SSM's to processed light-level geolocation or GPS data by adding lonerr, laterr variables to input data - adds One-Step-Ahead prediction residuals for evaluating SSM fits, via osar() and generic plot() method for osar output - adds diagnostic plot functions that handle multi-individual fits, via generic plot() method for fG_ssm fit objects - adds sf-enabled mapping function, via fmap() - fixes CRAN check errors from last version, where proj4string syntax +init:epsg= was not supported in non-PROJ4 emulation mode on some linux platforms Changes in version 0.2.2 - patch for compatibility with latest sf version Changes in version 0.2.1 - patch to improve C++ portability Changes in version 0.2.0 - first release, updates will follow regularly and be documented here