format
The format is:
$ locs :'data.frame': 163 obs. of 6 variables:
..$ datetime : num [1:163] 36741 36741 36741 36742 36742 ...
..$ latitude : num [1:163] 57.2 57.3 57.3 57.2 57.5 ...
..$ longitude : num [1:163] 190 190 190 190 190 ...
..$ landseamig: int [1:163] 0 1 1 1 1 1 1 1 1 1 ...
..$ lqadjust : int [1:163] 5 1 0 -2 -2 1 -2 -2 -2 -2 ...
..$ lq : Factor w/ 8 levels "0","1","2","3",..: 5 2 1 7 7 2 7 7 7 7 ...
$ sex : Factor w/ 2 levels "female","male": 2
$ start.date: Factor w/ 131 levels "10/10/1999","10/11/1999",..: 80
$ end.date : Factor w/ 131 levels "10/10/1999","10/11/1999",..: 66
$ cov.df :List of 4
..$ X :'data.frame': 10000 obs. of 5 variables:
.. ..$ x : num [1:10000] 184 184 184 184 184 ...
.. ..$ y : num [1:10000] 56.7 56.7 56.7 56.7 56.7 ...
.. ..$ chA: num [1:10000] 1.19 0.924 0.744 0.709 0.733 ...
.. ..$ sst: num [1:10000] 9.07 10.35 10.27 10.43 9.98 ...
.. ..$ pro: num [1:10000] 853 821 823 849 886 ...
..$ X.grad.x: num [1:10000, 1:5] 0.0729 0.0729 0.0729 0.0729 0.0729 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : NULL
.. .. ..$ : chr [1:5] "x" "y" "chA" "sst" ...
..$ X.grad.y: num [1:10000, 1:5] 0 0 0 0 0 0 0 0 0 0 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : NULL
.. .. ..$ : chr [1:5] "x" "y" "chA" "sst" ...
..$ xy : num [1:10000, 1:2] 184 184 184 184 184 ...
$ sim.obj :List of 31
..$ x : num [1:5420] 190 9999 9999 9999 9999 ...
..$ y : num [1:5420] 57.2 9999 9999 9999 9999 ...
..$ loctype : num [1:5420] 0 1 1 1 1 1 1 1 1 1 ...
..$ P1.y : num [1:2, 1:2] 1 0 0 1
..$ P1.x : num [1:2, 1:2] 1 0 0 1
..$ a1.x : num [1:2] 190 0
..$ a1.y : num [1:2] 57.2 0
..$ n.errX : int 2
..$ n.errY : int 2
..$ n.mov : int 1
..$ delta : num [1:5420] 0.00417 0.00417 0.00417 0.00417 0.00417 ...
..$ lonAdj : num [1:5420] 0.545 0.545 0.545 0.545 0.545 ...
..$ driftMod : logi FALSE
..$ stopMod : logi FALSE
..$ stop.mf : NULL
..$ err.mfX : num [1:5420, 1:2] 1 1 1 1 1 1 1 1 1 1 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : chr [1:5420] "1" "2" "3" "4" ...
.. .. ..$ : chr [1:2] "(Intercept)" "errX"
..$ err.mfY : num [1:5420, 1:2] 1 1 1 1 1 1 1 1 1 1 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : chr [1:5420] "1" "2" "3" "4" ...
.. .. ..$ : chr [1:2] "(Intercept)" "errY"
..$ mov.mf : num [1:5420, 1] 1 1 1 1 1 1 1 1 1 1 ...
..$ fixPar : logi [1:6] NA NA NA NA NA NA
..$ Cmat : num [1:6, 1:6] 0.116 -0.04442 0.0079 -0.00218 -0.00964 ...
..$ predType : chr [1:5420] "p" "p" "p" "p" ...
..$ par : num [1:6] -4.8167 0.5685 -6.9152 1.2077 0.0307 ...
..$ nms : chr [1:6] "ln tau.x (Intercept)" "ln tau.x errX" "ln tau.y (Intercept)" "ln tau.y errY" ...
..$ N : int 5420
..$ lower : num -Inf
..$ upper : num Inf
..$ loglik : num 665
..$ datetime : num [1:5420] 36741 36741 36741 36741 36741 ...
..$ coord : chr [1:2] "longitude" "latitude"
..$ Time.name : chr "datetime"
..$ thetaSampList:List of 1
.. ..$ : num [1:100, 1:9] 0.00841 0.01441 0.02038 0.01096 0.00801 ...
.. .. ..- attr(*, "dimnames")=List of 2
.. .. .. ..$ : NULL
.. .. .. ..$ : chr [1:9] "w" "lik" "prop.lik" "ln tau.x (Intercept)" ...
.. .. ..- attr(*, "effSamp")= num 87
.. .. ..- attr(*, "method")= chr "IS"
..- attr(*, "class")= chr "crwSimulator"
$ pred.times: num [1:5258] 36741 36741 36741 36741 36741 ...source
Hanks, E.; Hooten, M.; Johnson, D. & Sterling, J. Velocity-Based
Movement Modeling for Individual and Population Level Inference PLoS
ONE, Public Library of Science, 2011, 6, e22795