ctmm 0.5.4 (2019-02-07)
================

  * bugfix in ctmm.select where OU was not considered over the new OUO/OUf models introduced in v0.5.3

  * bugfix in ctmm.boot for heteroskedastic errors
  
  * multiplicative option depreciated from ctmm.boot

ctmm 0.5.3 (2019-01-29)
================

  * oscillatory (and critically damped) OUO/OUf models now supported, starting with omega option of ctmm()

  * summary() now works on lists of UERE objects for error model selection

  * MSPE slots & arguments restructured and fully utilized in both summary and ctmm.select
  
  * new method speeds() for estimating instantaneous speeds
  
  * speed() more efficient on very coarse data, slightly improved CIs
  
  * new complete argument in simulate() and predict() to calculate timestamps and geographic coordinates

  * now avoiding fastPOSIXct timezone and epoch issues in as.telemetry
  
  * outlie() now works on lists of telemetry objects
  
  * bugfixes in overlap() CIs

  * overlap() now robust to bad model fits
  
  * new as.telemetry() argument mark.rm to delete marked outliers
  
  * bugfix in predict() & occurrence() where eccentricity was dropped from covariances
  
  * projection information in Move & MoveStack objects now preserved if possible
  
  * identities preserved with newer MoveStack objects
  
  * ctmm.boot() better handles parameter estimation near boundaries
  
  * e-obs data with missing error/speed/altitude now importing correctly in as.telemetry
  
  * correlogram plots now cap estimates to appropriate range
  
  * beta optimizer now more aggressive in searching along boundaries
  
  * bugfix in ctmm.fit with duplicate timestamps and IID processes without error
  
  * bugfix in ctmm.select with pREML & error
  
  * summary() on telemetry lists no longer fails on length-1 timeseries
  
  * years updated to tropical years and calendar days updated to stellar days
  
ctmm 0.5.2 (2018-09-10)
================

  * location classes (multiple UEREs) now supported by uere.fit() and uere()<-
  
  * uere() forked into separate uere() and uere.fit() methods
  
  * AICc slot included in UERE objects for error model selection
  
  * overlap() telemetry and CTMM arguments depreciated
  
  * fixed bug in as.telemetry() when importing ARGOS error ellipses
  
  * e-obs error calibration updated
  
  * numerical stability increased in ctmm.fit when distance scales are extreme

ctmm 0.5.1 (2018-08-06)
================

  * Units of measurement down to microns and microseconds now supported
  
  * ctmm.select() now builds up autocovariance features stepwise to help with fit convergence
  
  * residuals() can now be calculated from (calibrated) calibration data---diagnostic argument removed from uere()
  
  * summary.ctmm() now returns DOF[speed] information on individuals
  
  * MSPE of ctmm objects was previously w.r.t. in-sample times and is now time averaged
  
  * summary.list.ctmm() now returns MSPE when useful
  
  * new speed() argument robust for coarse data
  
  * options multiplicative & robust added to ctmm.boot to help with parameters near boundaries
  
  * E-OBS errors adjusted by empirical results of Scott LaPoint's calibration data
  
  * Telonics Gen4 errors estimates imported with results of Patricia Medici's calibration data --- Quick Fixes not yet fully supported
  
  * fixed critical bug in speed()
  
  * fixed bug in as.telemetry with projection argument
  
  * fixed bugs in ctmm.loglike when !isotropic && error && circle
  
  * fixed bug in emulate when fast=FALSE and error=TRUE
  
  * fixed bug in new variogram error calculations (v0.5.0) used for plotting
  
  * simultaneously fitted UERE's from ctmm slot "error" can now be assigned to data for plotting
  
ctmm 0.5.0 (2018-05-15)
================

  * Extensive re-write of the Kalman filter & smoother, now supporting an arbitrary number of spatial dimensions, necessary for ARGOS error ellipse support. (Previously, all multi-dimensional problems were transformed into multiple one-dimensional problems.) Many new models will be supported going forward, based on the v0.5.0 code.
  
  * telemetry error vignette "error"

  * ARGOS error ellipse support in ctmm.fit() and simulate()

  * plotted variogram errors now estimated from HDOP and no longer assumed to be homoskedastic
  
  * as.telemetry() default projections now use robust ellipsoidal statistics
  
  * new median.telemetry() method for help with projecting data

  * (anisotropic & circulation & error) models now exact with 2D Kalman filter & smoother
  
  * simulate() & predict() velocities now correct with mean="periodic"
  
  * units argument in speed()
  
  * REML and related methods fixed from 0.4.X 1/2 bug
  
  * ctmm.loglike COV[mu] bugfix for circular error & elliptical movement
  
  * summary() rotation % bugfix with circle=TRUE
  
  * parameter boundary bugfix in ctmm.fit() and ctmm.loglike()
  
  * fixed bandwidth() bug when weights=TRUE on IID process
  
  * variogram.fit() manipulate more appropriate with calibrated errors
  
  * fixed bug in plot.variogram for isotropic model fits
  
  * fixed bug in ctmm.fit with fitted errors and any(diff(t)==0)
  
  * fixed bug in plot.variogram() from stats::qchisq() with k<<1

ctmm 0.4.2 (2018-02-12)
================
  
  * new speed() method
  
  * new ctmm.boot() method
  
  * new outlie() method
  
  * new export functionality for telemetry class

  * overlap debias=TRUE option (approximate)

  * pHREML, pREML, HREML ctmm.fit methods implemented and documented
  
  * IID pREML & REML AICc values implemented
  
  * MSPE values implemented

  * new uere()<- assignment method

  * velocity esimtates now included in predict() [fitting one model to multiple behaviors can result in wildly optimistic confidence intervals]
  
  * velocities now included in simulate()
  
  * simulate precompute option
  
  * as.telemetry drop=TRUE option
  
  * as.telemetry will no longer drop individuals with missing data columns
  
  * as.telemetry will try to approximate DOP values
  
  * as.telemetry imports velocity vectors
  
  * as.telemetry default projection orientation now robust with GmedianCOV
  
  * plot.UD resolution grid less obnoxious, NA/FALSE contour label option
  
  * plot.telemetry error=0:3 options for data with recorded error circles/ellipses
  
  * plot.telemetry velocity=TRUE option for data with recorded velocities
  
  * plot.variogram bugfixes with telemetry errors
  
  * fixed AIC bug in new parameterization code (0.4.0-0.4.1) where isotropic=TRUE model would never be selected
  
  * fixed rare endless loop in akde/bandwidth with weights=TRUE
  
  * outlier removed from buffalo$Cilla

ctmm 0.4.1 (2017-08-30)
================

  * projection method for ctmm objects

ctmm 0.4.0 (2017-08-29)
================

  * periodigram vignette

  * new utility function %#% for unit conversions
  
  * new model-fit sampling function "emulate"

  * summary now works on lists of telemetry objects
  
  * new extent method for variogram objects
  
  * bugfixes in plot.variogram with fit UERE, tau==0
  
  * bugfixes with ctmm.fit/select/summary near boundaries
  
  * resetting Polak–Ribiere formula in weighted AKDE conjugate gradient routine
  
  * read.table fallback in as.telmetry
  
  * R 3.4 compatibility fixes
  
  * various improvements to plot.variogram
  
  * plot.UD & export can now accept multiple level.UD values
  
  * increased numerical precision in ctmm.loglike
  
  * SI speeds & diffusion fixed with units=FALSE

ctmm 0.3.6 (2017-04-23)
================

  * AICc formulas updated from univariate to multivariate
  
  * ctmm.select more aggressive on small sample sizes where AICc >> AIC
  
  * new residuals and correlogram functions

  * ctmm.fit now has unified options controling optimization & differentiation
  
  * ctmm.fit Hessian and pREML calculations 2x faster

  * new writeRaster method for UD objects

  * better UD plot boxes with new extent methods
  
  * variogram fast=TRUE less biased for irregular data with new res>1 option
  
  * variogram fast=FALSE more robust to irregularity

  * akde() can now handle duplicate times (with an error model)
  
  * plot.variogram bugfix for fixed error models [still not quite correct]

  * Column name preferences in as.telemetry
  
  * as.telemetry faster with fread & fastPOSIXct
  
  * new trace option for ctmm.fit
  
  * new labels option for plot.UD
  
  * more robust CIs for pREML, REML
  
  * chi-square CIs (area, semi-variance, etc.) more robust when DOF<1

ctmm 0.3.5 (2017-02-01)
================

  * added a FAQ page to the documentation help("ctmm-FAQ")

  * bugfix in occurrence method for BM & IOU models
  
  * unit conversion can now be disabled in summary with units=FALSE argument
  
  * added trace option to ctmm.select & bandwidth/akde
  
  * improved telemetry error support in summary.ctmm and plot.variogram
  
  * as.telemetry more robust to alternative column label capitalizations
  
  * ctmm.loglike & ctmm.fit more robust when tau_velocity ~ tau_position

  * Kalman filter & smoother upgraded to Joseph form covariance updates

ctmm 0.3.4 (2016-11-28)
================

  * weighted AKDE implemented, fast option, covered in vignette

  * overlap arguments & ouput changed/generalized

  * method akde.bandwidth renamed to bandwidth inline with S3 standards

  * predict now returns covariance estimates
  
  * occurrence distributions now exportable

  * AKDE overlap bugfixes
  
  * summary.ctmm now returns correct RMS speed
  
  * bugfix for eccentricity errors

  * variogram CIs fixed for odd dimensions
  
  * variogram.fit can now accept OU models
  
  * periodogram rare index bugfix
  
  * fixed missing lag in dt-argumented variogram
  
  * as.telemetry column identification more robust
  
  * as.telemetry defined for MoveStack objects

ctmm 0.3.3 (2016-09-05)
================

  * improved import of 'move' objects

  * preliminary 3D AKDE support, debiased

  * new method predict for ctmm objects
  
  * akde now supports smoothing errors

  * variogram.fit and plot.variogram now support telemetry error

  * UERE fitting now possible simultaneous with tracking data

  * tag.local.identifier now used as backup to individual.local.identifier in as.telemetry
  
  * multiple bug fixes in uere
  
  * res.space fixed in occurrence

ctmm 0.3.2 (2016-05-12)
================

  * new function overlap for stationary Gaussian distributions and KDEs

  * new function uere calculates UERE from calibration data
  
  * akde debias argument removes most bias from area estimtes, now default
  
  * akde CIs further improved

  * variogram, periodogram generalized to arbitrary dimensions
  
  * periodic mean function option for ctmm, ctmm.fit, ctmm.select, plot.variogram, summary (not yet documented)
  
  * new method residuals for ctmm objects

  * ctmm.select now only considers likely model modifications
  
  * DOFs now returned in summary

  * new methods [.telemetry, [.variogram, [.periodogram, subset.periodogram
  
  * methods for zoom, raster, writeShapefile now properly assigned to generics

  * new plot.periodogram option max
  
  * new periodogram option res.time (with Lagrange interpolation). Old option res renamed to res.freq.

  * akde res argument is now relative to the bandwidth
  
  * occurrence res.space argument is now relative to the average diffusion

  * plot.telemetry with data error now uses level.UD for error radius instead of one standard deviation
  
  * gridding function for fast=TRUE variogram and periodogram now always fast
  
  * bad location removed from buffalo "Pepper"

ctmm 0.3.1 (2016-02-23)
================

  * variogram.fit now stores global variables of any name

  * variogram.fit sliders now use pretty units

  * variogram.fit range argument depreciated in favor of a more general CTMM prototype argument

  * akde UD CIs significantly improved for high quality datasets

  * akde bugfix: subscript out of bounds

  * circulatory model introduced via circle ctmm argument

  * oscillatory CPF model introduced via CPF ctmm argument

  * as.telemetry now imports GPS.HDOP columns with a UERE argument

  * summary now works on arbitrary lists of ctmm objects

  * ctmm.fit now tries to make sense of ML parameters that lie on boundaries
  
  * occurrence() now works when some timesteps are tiny
  
ctmm 0.3.0 (2015-11-26)
================

  * new function "occurrence" to estimate occurrence distributions
  
  * "akde" & "occurrence" class objects generalized to "UD" class

  * alpha & alpha.HR arguments simplified and generalized to level & level.UD

  * AKDE= and *.HR= arguments generalized to UD= and *.UD=

  * new basic telemetry error functionality in ctmm, ctmm.fit

  * new function ctmm.select

  * new methods subset.telemetry and subset.variogram

  * fixed a bug in the uncertainty report of uncorrelated processes
  
  * ctmm.fit is now much faster by specifying a reasonable parscale for optim 

  * ctmm.fit now has a backup for when Brent fails

ctmm 0.2.9 (2015-10-13)
================

  * fixed a rare condition in ctmm.fit where solve would fail on correlated errors

  * multiscale variogram and mean variogram example in vignette

  * new data example Mongolian gazelle

  * new fast option for periodogram
  
  * improvements in plot.periodogram

  * bugfix in as.telemetry for numeric indentifiers

  * bugfix in dt array option of variogram
  
  * new resolution option and better estimation algorithms in akde
  
  * alpha, alpha.HR, res arguments made consistent across all functions

ctmm 0.2.8 (2015-08-25)
================

  * efficiency gains in as.telemetry with multiple animals

  * bugfix in plot.telemetry for multiple Gaussian PDFs

  * bugfix in variogram for rare condition when fast=TRUE

ctmm 0.2.7 (2015-07-27)
================

  * CRAN check compliance achieved.
  
  * all methods (plot, mean, summary, simulate) can and must be run without class extensions
  
  * argument names no longer clash with function names and are more explicit about their object class

ctmm 0.2.6 (2015-07-17)
================

  * export bugfixes

ctmm 0.2.5 (2015-07-14)
================

  * IOU bug fixes in ctmm.fit and plot.variogram
  
ctmm 0.2.4 (2015-06-28)
================

  * cleaned up and labeled tau parameter arrays

  * implemented Workaround for when subset demotes S4 objects to S3 objects

  * plot.telemetry now enforces asp=1 even with xlim/ylim arguments

ctmm 0.2.3 (2015-06-19)
================

  * new function summary.telemetry

  * bugfix in as.telemetry for data$t
  
  * bugfix in ctmm.loglike for some cases with numeric underflow

  * periodogram and plot.periodogram can now check for spurious periodicities
  
  * minimal support for BM and IOU motion

ctmm 0.2.2 (2015-05-21)
================

  * new functions periodogram, plot.periodogram

ctmm 0.2.1 (2015-05-08)
================

  * new function SpatialPoints.telemetry returns SpatialPoints object from telemetry data

  * new function SpatialPolygonsDataFrame.akde returns akde home-range contour SpatialPolygons objects from akde object

  * new function writeShapefile.akde writes akde home-range contours to ESRI shapefile

  * new function raster.akde returns akde pdf raster object

  * new function summary.akde returns HR area of AKDE

  * fixed bad CI in plot.telemetry model option

  * as.telemetry now takes a timezone argument for as.POSIXct and defaults to UTC

  * telemetry, ctmm, and akde objects now have idenification and projection information slotted, with consistent naming throughout

ctmm 0.2.0 (2015-04-27)
================

  * vignettes "variogram" and "akde"

  * new function as.telemetry imports MoveBank formatted csv data and returns telemetry objects

  * new function variogram.zoom plots a variogram with zoom slider

  * variogram.fit and variogram.zoom default to a logarithmic-scale zoom slider, which requires much less fiddling

  * plot.variogram now takes multiple variogram, model, and color options

  * plot.telemetry now takes multiple data, model, akde, and color options

  * plot.telemetry can now make probability density plots for both Gaussian model and akde data

  * ctmm.fit no longer screws up results with initial sigma guesstimates. ML parameter estimates now match closely with published Mathematica results. CIs are improved.

  * ks-package was producing incorrect home-range contours and has been replaced with custom code. ML home ranges now match published Mathematica results. CIs should be improved.
