nonparametric_dsmm.md
In dsmmR: Estimation and Simulation of Drifting Semi-Markov Models

nonparametric_dsmm(); p and f are drifting

Code
  obj_nonpar_model_1
Output



  $dist$p_drift

  , , p_0

      AA  AC  CC
  AA 0.0 0.1 0.9
  AC 0.5 0.0 0.5
  CC 0.3 0.7 0.0

  , , p_(1/2)

      AA  AC  CC
  AA 0.0 0.6 0.4
  AC 0.7 0.0 0.3
  CC 0.6 0.4 0.0

  , , p_1

      AA  AC  CC
  AA 0.0 0.2 0.8
  AC 0.6 0.0 0.4
  CC 0.7 0.3 0.0




  $dist$f_drift

  , , l = 1, f_0

      AA  AC  CC
  AA 0.0 0.2 0.7
  AC 0.3 0.0 0.4
  CC 0.2 0.8 0.0

  , , l = 2, f_0

      AA   AC  CC
  AA 0.0 0.30 0.2
  AC 0.2 0.00 0.5
  CC 0.1 0.15 0.0

  , , l = 3, f_0

      AA   AC  CC
  AA 0.0 0.50 0.1
  AC 0.5 0.00 0.1
  CC 0.7 0.05 0.0

  , , l = 1, f_(1/2)

      AA        AC  CC
  AA 0.0 0.3333333 0.4
  AC 0.3 0.0000000 0.4
  CC 0.2 0.1000000 0.0

  , , l = 2, f_(1/2)

      AA        AC  CC
  AA 0.0 0.3333333 0.4
  AC 0.4 0.0000000 0.2
  CC 0.3 0.4000000 0.0

  , , l = 3, f_(1/2)

      AA        AC  CC
  AA 0.0 0.3333333 0.2
  AC 0.3 0.0000000 0.4
  CC 0.5 0.5000000 0.0

  , , l = 1, f_1

       AA  AC  CC
  AA 0.00 0.3 0.3
  AC 0.30 0.0 0.5
  CC 0.05 0.1 0.0

  , , l = 2, f_1

      AA  AC   CC
  AA 0.0 0.2 0.60
  AC 0.3 0.0 0.35
  CC 0.9 0.2 0.00

  , , l = 3, f_1

       AA  AC   CC
  AA 0.00 0.5 0.10
  AC 0.40 0.0 0.15
  CC 0.05 0.7 0.00


  $initial_dist
   AA  AC  CC 
  0.3 0.5 0.2

  $states
  AA AC CC

  $s
  3

  $degree
  2

  $k_max
  3

  $model_size
  8000

  $f_is_drifting
  TRUE

  $p_is_drifting
  TRUE

  $Model
  Model_1


  Class: dsmm_nonparametric, dsmm

nonparametric_dsmm(); p is drifting, f is not drifting.

Code
  obj_nonpar_model_2
Output



  $dist$p_drift

  , , p_0

      AA  AC  CC
  AA 0.0 0.1 0.9
  AC 0.5 0.0 0.5
  CC 0.3 0.7 0.0

  , , p_(1/2)

      AA  AC  CC
  AA 0.0 0.6 0.4
  AC 0.7 0.0 0.3
  CC 0.6 0.4 0.0

  , , p_1

      AA  AC  CC
  AA 0.0 0.2 0.8
  AC 0.6 0.0 0.4
  CC 0.7 0.3 0.0




  $dist$f_notdrift

  , , l = 1

      AA        AC  CC
  AA 0.0 0.3333333 0.4
  AC 0.3 0.0000000 0.4
  CC 0.2 0.1000000 0.0

  , , l = 2

      AA        AC  CC
  AA 0.0 0.3333333 0.4
  AC 0.4 0.0000000 0.2
  CC 0.3 0.4000000 0.0

  , , l = 3

      AA        AC  CC
  AA 0.0 0.3333333 0.2
  AC 0.3 0.0000000 0.4
  CC 0.5 0.5000000 0.0


  $initial_dist
   AA  AC  CC 
  0.7 0.1 0.2

  $states
  AA AC CC

  $s
  3

  $degree
  2

  $k_max
  3

  $model_size
  10000

  $f_is_drifting
  FALSE

  $p_is_drifting
  TRUE

  $Model
  Model_2


  Class: dsmm_nonparametric, dsmm

nonparametric_dsmm(); f is drifting, p is not drifting.

Code
  obj_nonpar_model_3
Output



  $dist$p_notdrift

      AA  AC  CC
  AA 0.0 0.2 0.8
  AC 0.6 0.0 0.4
  CC 0.7 0.3 0.0



  $dist$f_drift

  , , l = 1, f_0

      AA  AC  CC
  AA 0.0 0.2 0.7
  AC 0.3 0.0 0.4
  CC 0.2 0.8 0.0

  , , l = 2, f_0

      AA   AC  CC
  AA 0.0 0.30 0.2
  AC 0.2 0.00 0.5
  CC 0.1 0.15 0.0

  , , l = 3, f_0

      AA   AC  CC
  AA 0.0 0.50 0.1
  AC 0.5 0.00 0.1
  CC 0.7 0.05 0.0

  , , l = 1, f_(1/2)

      AA        AC  CC
  AA 0.0 0.3333333 0.4
  AC 0.3 0.0000000 0.4
  CC 0.2 0.1000000 0.0

  , , l = 2, f_(1/2)

      AA        AC  CC
  AA 0.0 0.3333333 0.4
  AC 0.4 0.0000000 0.2
  CC 0.3 0.4000000 0.0

  , , l = 3, f_(1/2)

      AA        AC  CC
  AA 0.0 0.3333333 0.2
  AC 0.3 0.0000000 0.4
  CC 0.5 0.5000000 0.0

  , , l = 1, f_1

       AA  AC  CC
  AA 0.00 0.3 0.3
  AC 0.30 0.0 0.5
  CC 0.05 0.1 0.0

  , , l = 2, f_1

      AA  AC   CC
  AA 0.0 0.2 0.60
  AC 0.3 0.0 0.35
  CC 0.9 0.2 0.00

  , , l = 3, f_1

       AA  AC   CC
  AA 0.00 0.5 0.10
  AC 0.40 0.0 0.15
  CC 0.05 0.7 0.00


  $initial_dist
   AA  AC  CC 
  0.3 0.4 0.3

  $states
  AA AC CC

  $s
  3

  $degree
  2

  $k_max
  3

  $model_size
  10000

  $f_is_drifting
  TRUE

  $p_is_drifting
  FALSE

  $Model
  Model_3


  Class: dsmm_nonparametric, dsmm