Running examples in ‘hdpGLM-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: plot_pexp_beta
> ### Title: Plot beta posterior expectation
> ### Aliases: plot_pexp_beta
> 
> ### ** Examples
> 
> 
> library(magrittr)
> set.seed(66)
> 
> # Note: this example is just for illustration. MCMC iterations are very reduced
> set.seed(10)
> n = 20
> data.context1 = tibble::tibble(x1 = rnorm(n, -3),
+                                    x2 = rnorm(n,  3),
+                                    z  = sample(1:3, n, replace=TRUE),
+                                    y  =I(z==1) * (3 + 4*x1 - x2 + rnorm(n)) +
+                                        I(z==2) * (3 + 2*x1 + x2 + rnorm(n)) +
+                                        I(z==3) * (3 - 4*x1 - x2 + rnorm(n)) ,
+                                    w = 20
+                                    ) 
> data.context2 = tibble::tibble(x1 = rnorm(n, -3),
+                                    x2 = rnorm(n,  3),
+                                    z  = sample(1:2, n, replace=TRUE),
+                                    y  =I(z==1) * (1 + 3*x1 - 2*x2 + rnorm(n)) +
+                                        I(z==2) * (1 - 2*x1 +   x2 + rnorm(n)),
+                                    w = 10
+                                    ) 
> data = data.context1 %>%
+     dplyr::bind_rows(data.context2)
> 
> ## estimation
> mcmc    = list(burn.in=1, n.iter=50)
> samples = hdpGLM(y ~ x1 + x2, y ~ w, data=data, mcmc=mcmc, n.display=1)


Preparing for estimation ...



Estimation in progress ...



-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 1

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 1
Maximum Number of Clusters Active in the Current Iteration : 1

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
   1.0000e+00
   1.0000e+02

Clusters in Context 2
    1.0000
   95.0000

[===                                                                    ] 3 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 2

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 2
Maximum Number of Clusters Active in the Current Iteration : 2

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000
   25.0000   75.0000

Clusters in Context 2
    1.0000    3.0000    4.0000
   10.0000   55.0000   35.0000

[=====                                                                  ] 5 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 3

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 4
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    5.0000
   15.0000   10.0000   40.0000   35.0000

Clusters in Context 2
    1.0000    2.0000    3.0000    4.0000    7.0000
   10.0000   30.0000   30.0000   10.0000   15.0000

[======                                                                 ] 7 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 4

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 6
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    2.0000    4.0000    5.0000    7.0000
   10.0000   35.0000   10.0000   35.0000

Clusters in Context 2
    3.0000    4.0000    5.0000    7.0000
   35.0000   15.0000   20.0000   15.0000

[=======                                                                ] 9 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 5

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 8
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    4.0000    5.0000    6.0000
   10.0000   35.0000   10.0000   10.0000   20.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   40.0000

[=========                                                              ] 11 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 6

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 9

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    2.0000    3.0000    5.0000    6.0000    7.0000    8.0000
   15.0000   10.0000   10.0000   15.0000   10.0000   25.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   40.0000

[==========                                                             ] 13 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 7

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    2.0000    3.0000    4.0000    5.0000    6.0000   11.0000
   20.0000   10.0000   15.0000   15.0000   20.0000   10.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   40.0000

[===========                                                            ] 15 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 8

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 7

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    4.0000    5.0000    6.0000
   15.0000   10.0000   15.0000   25.0000   25.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   45.0000

[=============                                                          ] 17 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 9

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    2.0000    4.0000    5.0000    6.0000
   10.0000   20.0000   10.0000   40.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   45.0000

[==============                                                         ] 19 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 10

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 9

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    2.0000    4.0000    5.0000    6.0000
   15.0000   15.0000   10.0000   35.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   40.0000

[================                                                       ] 21 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 11

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    4.0000    6.0000    7.0000   10.0000
   15.0000   15.0000   35.0000   10.0000   10.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   50.0000

[=================                                                      ] 23 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 12

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    4.0000    6.0000    7.0000    9.0000
   15.0000   40.0000   15.0000   10.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   50.0000

[==================                                                     ] 25 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 13

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    4.0000    6.0000    7.0000
   10.0000   15.0000   45.0000   10.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   50.0000

[====================                                                   ] 27 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 14

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 8

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    4.0000    6.0000    7.0000
   10.0000   10.0000   15.0000   40.0000   10.0000

Clusters in Context 2
    3.0000    7.0000
   45.0000   45.0000

[=====================                                                  ] 29 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 15

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    4.0000    6.0000
   20.0000   10.0000   15.0000   50.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   45.0000

[======================                                                 ] 31 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 16

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    4.0000    6.0000
   20.0000   15.0000   50.0000

Clusters in Context 2
    3.0000    7.0000
   50.0000   45.0000

[========================                                               ] 33 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 17

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    4.0000    5.0000    6.0000
   10.0000   10.0000   10.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   10.0000   50.0000   40.0000

[=========================                                              ] 35 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 18

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   10.0000   20.0000   10.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   10.0000   50.0000   40.0000

[===========================                                            ] 37 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 19

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 7

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000    7.0000
   10.0000   15.0000   10.0000   45.0000   10.0000

Clusters in Context 2
    1.0000    3.0000    6.0000    7.0000
   10.0000   50.0000   10.0000   30.0000

[============================                                           ] 39 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 20

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 7

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    5.0000    6.0000
   15.0000   10.0000   15.0000   45.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   10.0000   50.0000   35.0000

[=============================                                          ] 41 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 21

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    4.0000    6.0000
   20.0000   10.0000   10.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   10.0000   45.0000   40.0000

[===============================                                        ] 43 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 22

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    6.0000
   20.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   10.0000   50.0000   40.0000

[================================                                       ] 45 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 23

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   25.0000   10.0000   10.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   15.0000   50.0000   35.0000

[=================================                                      ] 47 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 24

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000    6.0000
   20.0000   10.0000   10.0000   10.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   15.0000   50.0000   35.0000

[===================================                                    ] 49 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 25

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   25.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   25.0000   40.0000   25.0000

[====================================                                   ] 50 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 26

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   25.0000   10.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000    7.0000
   35.0000   45.0000   15.0000

[======================================                                 ] 52 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 27

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   25.0000   10.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   45.0000   45.0000

[=======================================                                ] 54 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 28

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    4.0000    6.0000
   20.0000   15.0000   10.0000   45.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[========================================                               ] 56 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 29

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   20.0000   10.0000   10.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   45.0000   50.0000

[==========================================                             ] 58 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 30

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   15.0000   10.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[===========================================                            ] 60 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 31

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   25.0000   15.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[============================================                           ] 62 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 32

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   20.0000   20.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[==============================================                         ] 64 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 33

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   15.0000   20.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[===============================================                        ] 66 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 34

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   25.0000   20.0000   50.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   45.0000

[=================================================                      ] 68 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 35

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   25.0000   25.0000   45.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[==================================================                     ] 70 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 36

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   25.0000   25.0000   45.0000

Clusters in Context 2
    1.0000    3.0000
   45.0000   50.0000

[===================================================                    ] 72 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 37

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    6.0000
   20.0000   25.0000   45.0000

Clusters in Context 2
    1.0000    2.0000    3.0000
   40.0000   10.0000   50.0000

[=====================================================                  ] 74 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 38

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    3.0000    5.0000    6.0000
   20.0000   30.0000   10.0000   40.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[======================================================                 ] 76 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 39

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    6.0000
   20.0000   10.0000   25.0000   40.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[=======================================================                ] 78 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 40

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 7

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000    6.0000
   10.0000   20.0000   15.0000   15.0000   30.0000

Clusters in Context 2
    1.0000    3.0000
   45.0000   50.0000

[=========================================================              ] 80 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 41

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 5

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   15.0000   45.0000   20.0000   15.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[==========================================================             ] 82 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 42

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000    6.0000
   15.0000   35.0000   20.0000   15.0000   10.0000

Clusters in Context 2
    1.0000    2.0000    3.0000
   45.0000   10.0000   45.0000

[============================================================           ] 84 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 43

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   15.0000   40.0000   20.0000   15.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[=============================================================          ] 86 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 44

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 6

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   10.0000   45.0000   20.0000   15.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[==============================================================         ] 88 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 45

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   10.0000   50.0000   20.0000   20.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[================================================================       ] 90 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 46

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   15.0000   50.0000   20.0000   15.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   45.0000

[=================================================================      ] 92 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 47

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   10.0000   50.0000   20.0000   20.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[==================================================================     ] 94 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 48

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000    4.0000
   15.0000   50.0000   25.0000   10.0000

Clusters in Context 2
    1.0000    3.0000
   45.0000   50.0000

[====================================================================   ] 96 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 49

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000
   25.0000   50.0000   20.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[=====================================================================  ] 98 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 50

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000
   20.0000   50.0000   25.0000

Clusters in Context 2
    1.0000    3.0000
   50.0000   50.0000

[=======================================================================] 100 %

-----------------------------------------------------
MCMC in progress ....

Family of the distribution of the outcome variable of the mixture components: gaussian

Burn-in: 1
Number of MCMC Iterations : 50

Iteration: 51

Acceptance Rate for beta         : 1
Average Acceptance Rate for beta : 1

Maximum Number of Clusters Allowed (K)                      : 100
Maximum Number of Clusters Activated Among All Contexts     : 9
Maximum Number of Clusters Active in the Current Iteration : 4

(displaying only clusters with more than 5% of the data)
Clusters in Context 1
    1.0000    2.0000    3.0000
   25.0000   50.0000   20.0000

Clusters in Context 2
    1.0000    3.0000
   45.0000   50.0000

[=======================================================================] 100 %
> 
> plot_pexp_beta(samples)


Generating plots ...

> plot_pexp_beta(samples, X='x1', ncol.w=2, nrow.w=1)


Generating plots ...

> plot_pexp_beta(samples, X='x1', ncol.beta=2)


Generating plots ...

> plot_pexp_beta(samples, pred.pexp.beta=TRUE, W="w", X=c("x1", "x2"))


Generating plots ...


 *** caught segfault ***
address 0x55c000000004, cause 'memory not mapped'
Fatal error: *** recursive gc invocation

Fatal error: *** recursive gc invocation