Rank predicted doses of different agents

Ranks predictions at different doses from best to worst.

# S3 method for mbnma.predict
rank(x, lower_better = TRUE, rank.doses = NULL, ...)

Arguments

x

An object on which to apply the rank method

lower_better

Indicates whether negative responses are better (TRUE) or positive responses are better (FALSE)

rank.doses

A list of numeric vectors. Each named element corresponds to an agent (as named/coded in predict), and each number within the vector for that element corresponds to the dose for that agent. Doses of agents specified in rank.doses must be a subset of those for which responses have been predicted in predict. If left as NULL (the default) then all doses of all agents in predict will be ranked.

...

Arguments to be passed to methods

Value

An object of class("mbnma.rank") which is a list containing a summary data frame, a matrix of rankings for each MCMC iteration, and a matrix of probabilities that each agent has a particular rank, for each parameter that has been ranked.

Details

If predict contains multiple predictions at dose=0, then only the first of these will be included, to avoid duplicating rankings.

Examples

# \donttest{
# Using the triptans data
network <- mbnma.network(triptans)
#> Values for `agent` with dose = 0 have been recoded to `Placebo`
#> agent is being recoded to enforce sequential numbering

# Rank all predictions from a log-linear dose-response MBNMA
loglin <- mbnma.run(network, fun=dloglin())
#> `likelihood` not given by user - set to `binomial` based on data provided
#> `link` not given by user - set to `logit` based on assigned value for `likelihood`
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 182
#>    Unobserved stochastic nodes: 77
#>    Total graph size: 3644
#> 
#> Initializing model
#> 
pred <- predict(loglin, E0 = 0.5)
rank <- rank(pred)
summary(rank)
#> $Predictions
#>             rank.param       mean          sd    2.5%    25%   50%    75%
#> 1            Placebo_0 183.991667  0.45643546 184.000 184.00 184.0 184.00
#> 2     eletriptan_0.069 175.893333  1.85124226 172.000 175.00 176.0 177.00
#> 3      eletriptan_0.14 163.700667  3.55733296 154.000 162.75 165.0 166.00
#> 4      eletriptan_0.21 151.470000  4.89990847 139.000 149.00 153.0 155.00
#> 5      eletriptan_0.28 138.529333  5.33653749 128.000 135.00 139.0 143.00
#> 6      eletriptan_0.34 128.557333  5.25318109 119.000 124.00 129.0 133.00
#> 7      eletriptan_0.41 118.008667  4.89536309 110.000 114.00 117.0 122.00
#> 8      eletriptan_0.48 107.749333  4.72072678  99.000 105.00 108.0 111.00
#> 9      eletriptan_0.55  97.700000  4.58632149  89.000  95.00  98.0 101.00
#> 10     eletriptan_0.62  89.070000  4.36349784  80.000  86.00  89.0  92.00
#> 11     eletriptan_0.69  81.166667  4.64378550  72.000  78.00  81.0  84.00
#> 12     eletriptan_0.76  73.445000  4.90078030  64.000  70.00  74.0  77.00
#> 13     eletriptan_0.83  66.044333  5.18562096  55.000  63.00  66.0  70.00
#> 14      eletriptan_0.9  58.773333  5.51779886  48.000  55.00  59.0  63.00
#> 15     eletriptan_0.97  51.804000  5.48619025  41.000  48.00  52.0  55.00
#> 16        eletriptan_1  48.513667  5.32696963  38.975  45.00  48.0  52.00
#> 17      eletriptan_1.1  41.697000  4.23806301  34.000  39.00  42.0  44.00
#> 18      eletriptan_1.2  37.530333  3.37315964  32.000  35.00  38.0  40.00
#> 19      eletriptan_1.3  34.728333  2.93008402  31.000  32.00  34.0  37.00
#> 20      eletriptan_1.4  32.293333  2.64857708  29.000  30.00  31.0  34.00
#> 21      eletriptan_1.5  30.096000  2.31816924  27.000  28.00  29.0  31.00
#> 22      eletriptan_1.6  28.057000  1.99392651  25.000  27.00  28.0  29.00
#> 23      eletriptan_1.7  26.185333  1.73781229  23.975  25.00  26.0  27.00
#> 24      eletriptan_1.8  24.377333  1.58296815  22.000  23.00  24.0  25.00
#> 25      eletriptan_1.9  22.664333  1.49144316  20.000  22.00  23.0  24.00
#> 26        eletriptan_2  20.980000  1.43467282  18.000  20.00  21.0  22.00
#> 27   sumatriptan_0.069 179.810333  1.37173386 177.000 179.00 180.0 181.00
#> 28    sumatriptan_0.14 172.336000  2.33700475 167.000 172.00 173.0 174.00
#> 29    sumatriptan_0.21 165.850000  3.35558042 157.000 165.00 167.0 168.00
#> 30    sumatriptan_0.28 158.483333  4.22875273 147.000 157.00 160.0 161.00
#> 31    sumatriptan_0.34 152.284333  4.85599438 139.000 150.00 153.0 156.00
#> 32    sumatriptan_0.41 144.831333  5.26372370 133.000 142.00 146.0 149.00
#> 33    sumatriptan_0.48 137.663667  5.32647510 127.000 134.00 138.0 142.00
#> 34    sumatriptan_0.55 131.349000  5.23733478 122.000 127.00 132.0 135.00
#> 35    sumatriptan_0.62 125.190333  5.04055972 117.000 121.00 125.0 129.00
#> 36    sumatriptan_0.69 119.723333  4.75888690 112.000 116.00 119.0 123.00
#> 37    sumatriptan_0.76 114.274667  4.58340057 106.000 111.00 114.0 117.00
#> 38    sumatriptan_0.83 108.952000  4.42284409 101.000 106.00 109.0 112.00
#> 39     sumatriptan_0.9 103.746333  4.32182978  96.000 101.00 103.0 106.00
#> 40    sumatriptan_0.97  98.859000  4.14441525  91.000  96.00  99.0 101.00
#> 41       sumatriptan_1  96.306667  4.06474225  88.000  94.00  96.0  99.00
#> 42     sumatriptan_1.1  90.507333  3.96944980  82.000  88.00  91.0  93.00
#> 43     sumatriptan_1.2  85.048333  4.07752449  77.000  83.00  85.0  88.00
#> 44     sumatriptan_1.3  79.664333  4.27048868  71.000  77.00  80.0  83.00
#> 45     sumatriptan_1.4  74.470667  4.41002143  65.000  72.00  74.0  77.00
#> 46     sumatriptan_1.5  69.540000  4.46665987  60.000  67.00  70.0  73.00
#> 47     sumatriptan_1.6  64.793000  4.63810180  55.000  62.00  65.0  68.00
#> 48     sumatriptan_1.7  60.053667  4.84051617  50.000  57.00  60.0  63.00
#> 49     sumatriptan_1.8  55.409000  4.93313602  45.000  52.00  56.0  59.00
#> 50     sumatriptan_1.9  50.878333  4.94540355  41.000  48.00  51.0  54.00
#> 51       sumatriptan_2  46.663333  4.77600869  37.975  43.00  47.0  50.00
#> 52  frovatriptan_0.069 177.761667  1.64998122 174.000 177.00 178.0 179.00
#> 53   frovatriptan_0.14 168.395667  3.63934923 159.000 167.00 169.0 171.00
#> 54   frovatriptan_0.21 158.850333  5.61911541 145.000 156.00 160.0 163.00
#> 55   frovatriptan_0.28 149.052667  7.29348736 133.000 145.00 150.0 154.00
#> 56   frovatriptan_0.34 140.568667  8.15455602 124.000 135.00 141.0 146.00
#> 57   frovatriptan_0.41 131.540667  8.76637302 116.000 125.00 131.0 138.00
#> 58   frovatriptan_0.48 123.168000  9.23082763 106.000 117.00 123.0 129.00
#> 59   frovatriptan_0.55 115.173667  9.90711311  97.000 109.00 115.0 121.00
#> 60   frovatriptan_0.62 107.686667 10.51253189  89.000 100.00 108.0 115.00
#> 61   frovatriptan_0.69 100.563333 10.86992981  81.000  93.00 100.0 108.00
#> 62   frovatriptan_0.76  93.955000 11.21892433  74.000  86.00  93.0 101.00
#> 63   frovatriptan_0.83  87.717000 11.62049581  66.000  80.00  88.0  95.00
#> 64    frovatriptan_0.9  81.804667 12.11401783  59.000  74.00  82.0  89.00
#> 65   frovatriptan_0.97  76.083667 12.61133148  52.000  68.00  76.0  84.00
#> 66      frovatriptan_1  73.116333 12.82163268  49.000  64.00  73.0  82.00
#> 67    frovatriptan_1.1  65.991000 13.31104730  43.000  56.00  66.0  75.00
#> 68    frovatriptan_1.2  59.556333 13.25217089  41.000  48.00  59.0  69.00
#> 69    frovatriptan_1.3  53.867667 12.67923797  38.000  43.00  51.5  62.25
#> 70    frovatriptan_1.4  48.976000 11.80688605  35.000  40.00  45.0  56.00
#> 71    frovatriptan_1.5  44.832667 10.79991724  33.000  38.00  41.0  50.00
#> 72    frovatriptan_1.6  41.262667  9.82136239  30.000  35.00  38.0  44.00
#> 73    frovatriptan_1.7  38.110000  8.95250146  27.000  33.00  36.0  40.00
#> 74    frovatriptan_1.8  35.340000  8.25759020  25.000  31.00  34.0  37.00
#> 75    frovatriptan_1.9  32.817000  7.70943077  22.000  29.00  32.0  35.00
#> 76      frovatriptan_2  30.467667  7.28839224  20.000  26.00  30.0  33.00
#> 77   almotriptan_0.069 179.800000  1.49691246 177.000 179.00 180.0 181.00
#> 78    almotriptan_0.14 172.345000  2.49105937 167.000 172.00 173.0 174.00
#> 79    almotriptan_0.21 165.699333  3.65696468 156.000 164.00 166.0 168.00
#> 80    almotriptan_0.28 158.414333  4.61328755 146.000 156.00 159.0 161.00
#> 81    almotriptan_0.34 152.197000  5.36113529 139.000 149.00 153.0 156.00
#> 82    almotriptan_0.41 144.831667  5.98943139 132.000 141.00 145.5 149.00
#> 83    almotriptan_0.48 137.789333  6.13651681 126.000 134.00 138.0 142.00
#> 84    almotriptan_0.55 131.358667  6.17927337 120.000 127.00 131.0 136.00
#> 85    almotriptan_0.62 125.361333  6.08087964 115.000 121.00 125.0 130.00
#> 86    almotriptan_0.69 119.758667  6.00214685 109.000 115.00 119.0 124.00
#> 87    almotriptan_0.76 114.372000  5.98009503 104.000 110.00 114.0 118.00
#> 88    almotriptan_0.83 109.071333  6.08839889  98.000 105.00 109.0 113.00
#> 89     almotriptan_0.9 103.899667  6.11664977  93.000 100.00 104.0 108.00
#> 90    almotriptan_0.97  99.023333  6.10485151  88.000  95.00  99.0 103.00
#> 91       almotriptan_1  96.495667  6.06752994  85.000  92.00  96.0 100.00
#> 92     almotriptan_1.1  90.622000  6.07190843  79.000  87.00  90.0  94.00
#> 93     almotriptan_1.2  85.078667  6.25829052  73.000  81.00  85.0  89.00
#> 94     almotriptan_1.3  79.766667  6.56124268  67.000  75.00  80.0  84.00
#> 95     almotriptan_1.4  74.585000  6.81255547  61.000  70.00  74.0  79.00
#> 96     almotriptan_1.5  69.645000  7.09444045  56.000  65.00  70.0  74.00
#> 97     almotriptan_1.6  64.812000  7.46908641  50.000  60.00  65.0  70.00
#> 98     almotriptan_1.7  60.010667  7.76762501  45.000  55.00  60.0  65.00
#> 99     almotriptan_1.8  55.439000  7.92825526  41.000  50.00  55.0  61.00
#> 100    almotriptan_1.9  51.058667  7.83383779  37.975  45.00  50.0  56.00
#> 101      almotriptan_2  47.103667  7.56557990  35.000  41.75  46.0  52.00
#> 102  zolmitriptan_0.34 144.470000  5.61702326 132.000 141.00 145.0 149.00
#> 103  zolmitriptan_0.69 106.709000  5.60125971  96.000 103.00 107.0 110.00
#> 104     zolmitriptan_1  81.266667  5.82696663  70.000  77.00  81.0  85.00
#> 105   zolmitriptan_1.4  54.811667  7.22432886  41.000  50.00  55.0  60.00
#> 106   zolmitriptan_1.7  41.043333  5.07707735  33.000  37.00  41.0  44.00
#> 107   zolmitriptan_2.1  33.539000  3.38835840  29.000  31.00  33.0  36.00
#> 108   zolmitriptan_2.4  29.608667  2.89061299  25.000  28.00  29.0  31.00
#> 109   zolmitriptan_2.8  25.570667  2.39838633  22.000  24.00  25.0  27.00
#> 110   zolmitriptan_3.1  22.893667  1.92828058  21.000  21.00  23.0  24.00
#> 111   zolmitriptan_3.4  20.841667  1.35936744  20.000  20.00  20.0  21.00
#> 112   zolmitriptan_3.8  19.221333  0.69174012  19.000  19.00  19.0  19.00
#> 113   zolmitriptan_4.1  18.067333  0.37883250  18.000  18.00  18.0  18.00
#> 114   zolmitriptan_4.5  17.012333  0.19199004  17.000  17.00  17.0  17.00
#> 115   zolmitriptan_4.8  16.005000  0.13030986  16.000  16.00  16.0  16.00
#> 116   zolmitriptan_5.2  15.002333  0.11104954  15.000  15.00  15.0  15.00
#> 117   zolmitriptan_5.5  14.001667  0.09128709  14.000  14.00  14.0  14.00
#> 118   zolmitriptan_5.9  13.001333  0.07302967  13.000  13.00  13.0  13.00
#> 119   zolmitriptan_6.2  12.001333  0.07302967  12.000  12.00  12.0  12.00
#> 120   zolmitriptan_6.6  11.001000  0.05477226  11.000  11.00  11.0  11.00
#> 121   zolmitriptan_6.9  10.000667  0.03651484  10.000  10.00  10.0  10.00
#> 122   zolmitriptan_7.2   9.000667  0.03651484   9.000   9.00   9.0   9.00
#> 123   zolmitriptan_7.6   8.000333  0.01825742   8.000   8.00   8.0   8.00
#> 124   zolmitriptan_7.9   7.000333  0.01825742   7.000   7.00   7.0   7.00
#> 125   zolmitriptan_8.3   6.000000  0.00000000   6.000   6.00   6.0   6.00
#> 126   zolmitriptan_8.6   5.000000  0.00000000   5.000   5.00   5.0   5.00
#> 127     zolmitriptan_9   4.000000  0.00000000   4.000   4.00   4.0   4.00
#> 128   zolmitriptan_9.3   3.000000  0.00000000   3.000   3.00   3.0   3.00
#> 129   zolmitriptan_9.7   2.000000  0.00000000   2.000   2.00   2.0   2.00
#> 130    zolmitriptan_10   1.000000  0.00000000   1.000   1.00   1.0   1.00
#> 131  naratriptan_0.069 182.979667  0.43739798 183.000 183.00 183.0 183.00
#> 132   naratriptan_0.14 179.856667  1.60030493 177.000 179.00 179.0 181.00
#> 133   naratriptan_0.21 176.463667  2.11931838 173.000 175.00 177.0 178.00
#> 134   naratriptan_0.28 173.224333  2.61233280 168.000 172.00 173.0 175.00
#> 135   naratriptan_0.34 170.441333  3.07544756 164.000 169.00 170.0 173.00
#> 136   naratriptan_0.41 167.416000  3.74863906 160.000 165.00 168.0 170.00
#> 137   naratriptan_0.48 164.355333  4.40865251 155.000 162.00 164.0 168.00
#> 138   naratriptan_0.55 161.334000  5.10017463 151.000 158.00 162.0 165.00
#> 139   naratriptan_0.62 158.301000  5.84543600 146.000 154.00 159.0 162.00
#> 140   naratriptan_0.69 155.303333  6.52984445 142.000 151.00 156.0 160.00
#> 141   naratriptan_0.76 152.313000  7.24241087 138.000 147.00 153.0 157.00
#> 142   naratriptan_0.83 149.387333  7.87032106 134.000 144.00 150.0 155.00
#> 143    naratriptan_0.9 146.490000  8.48771153 130.000 141.00 147.0 153.00
#> 144   naratriptan_0.97 143.641000  9.09456006 126.000 137.00 144.0 150.00
#> 145      naratriptan_1 141.877667  9.34172310 123.000 136.00 142.0 148.00
#> 146    naratriptan_1.1 138.333667 10.15713488 118.000 131.00 138.0 146.00
#> 147    naratriptan_1.2 134.888000 10.98597681 112.000 128.00 135.0 142.00
#> 148    naratriptan_1.3 131.465000 11.78424362 107.000 124.00 132.0 139.00
#> 149    naratriptan_1.4 128.131000 12.59065846 101.000 120.00 128.0 137.00
#> 150    naratriptan_1.5 124.852667 13.40241898  97.000 116.00 125.0 134.00
#> 151    naratriptan_1.6 121.654667 14.17245089  92.000 113.00 122.0 131.00
#> 152    naratriptan_1.7 118.454667 14.92752118  88.000 109.00 119.0 129.00
#> 153    naratriptan_1.8 115.364667 15.65684293  83.975 105.00 116.0 126.00
#> 154    naratriptan_1.9 112.285000 16.34674831  79.000 101.00 113.0 124.00
#> 155      naratriptan_2 109.266000 17.02053104  75.000  97.00 110.0 121.00
#> 156  rizatriptan_0.034 181.657000  1.13068290 180.000 181.00 182.0 182.00
#> 157  rizatriptan_0.069 174.777333  1.96732721 171.000 174.00 175.0 176.00
#> 158    rizatriptan_0.1 169.315000  2.75650282 163.000 168.00 170.0 171.00
#> 159   rizatriptan_0.14 161.852667  3.73143414 152.000 161.00 163.0 164.00
#> 160   rizatriptan_0.17 156.322667  4.33468369 145.000 155.00 157.0 159.00
#> 161   rizatriptan_0.21 148.496333  4.98078869 136.000 146.00 150.0 152.00
#> 162   rizatriptan_0.24 142.394333  5.22410423 131.000 139.00 143.0 146.00
#> 163   rizatriptan_0.28 134.844333  5.15728938 125.000 131.00 135.0 139.00
#> 164   rizatriptan_0.31 129.500667  5.08867675 121.000 125.00 130.0 133.00
#> 165   rizatriptan_0.34 124.240000  4.88108680 116.000 120.00 124.0 128.00
#> 166   rizatriptan_0.38 117.902000  4.70855103 110.000 115.00 117.0 121.00
#> 167   rizatriptan_0.41 112.956000  4.57059742 105.000 110.00 113.0 116.00
#> 168   rizatriptan_0.45 106.664333  4.59180677  98.000 104.00 106.0 109.00
#> 169   rizatriptan_0.48 101.719000  4.57562576  93.000  99.00 102.0 104.00
#> 170   rizatriptan_0.52  95.851667  4.46090018  87.000  93.00  96.0  99.00
#> 171   rizatriptan_0.55  91.612333  4.27100242  83.000  89.00  92.0  94.00
#> 172   rizatriptan_0.59  86.713000  4.32221296  78.000  84.00  87.0  90.00
#> 173   rizatriptan_0.62  82.821000  4.45311529  74.000  80.00  83.0  86.00
#> 174   rizatriptan_0.66  78.024333  4.63748243  69.000  75.00  78.0  81.00
#> 175   rizatriptan_0.69  74.302000  4.72294732  65.000  71.00  74.0  77.00
#> 176   rizatriptan_0.72  70.649667  4.84493801  61.000  68.00  71.0  74.00
#> 177   rizatriptan_0.76  66.137667  5.03817185  56.000  63.00  66.0  70.00
#> 178   rizatriptan_0.79  62.511000  5.17237503  52.000  59.00  63.0  66.00
#> 179   rizatriptan_0.83  58.009000  5.34806379  47.000  54.00  58.0  62.00
#> 180   rizatriptan_0.86  54.457667  5.39468029  44.000  51.00  54.0  58.00
#> 181    rizatriptan_0.9  50.210667  5.26537694  40.000  47.00  50.0  54.00
#> 182   rizatriptan_0.93  47.078000  4.97984427  38.000  44.00  47.0  50.00
#> 183   rizatriptan_0.97  43.703333  4.56730507  35.000  40.00  44.0  46.00
#> 184      rizatriptan_1  41.215000  4.26726042  34.000  38.00  41.0  44.00
#>       97.5%
#> 1   184.000
#> 2   178.000
#> 3   168.000
#> 4   158.000
#> 5   147.000
#> 6   138.000
#> 7   128.000
#> 8   118.000
#> 9   107.000
#> 10   97.000
#> 11   90.000
#> 12   82.000
#> 13   76.000
#> 14   69.000
#> 15   63.000
#> 16   59.000
#> 17   51.000
#> 18   44.000
#> 19   40.000
#> 20   38.000
#> 21   36.000
#> 22   33.000
#> 23   31.000
#> 24   28.000
#> 25   26.000
#> 26   24.000
#> 27  181.000
#> 28  175.000
#> 29  170.000
#> 30  164.000
#> 31  159.000
#> 32  153.000
#> 33  147.000
#> 34  141.000
#> 35  135.000
#> 36  129.000
#> 37  124.000
#> 38  118.000
#> 39  113.000
#> 40  108.000
#> 41  105.000
#> 42   98.000
#> 43   93.000
#> 44   87.025
#> 45   83.000
#> 46   78.000
#> 47   74.000
#> 48   69.000
#> 49   65.000
#> 50   61.000
#> 51   56.000
#> 52  181.000
#> 53  174.000
#> 54  168.000
#> 55  161.000
#> 56  156.000
#> 57  149.000
#> 58  143.000
#> 59  136.000
#> 60  130.000
#> 61  124.000
#> 62  118.000
#> 63  113.000
#> 64  107.000
#> 65  102.000
#> 66   98.025
#> 67   93.000
#> 68   86.025
#> 69   81.000
#> 70   76.000
#> 71   71.000
#> 72   67.000
#> 73   62.025
#> 74   58.000
#> 75   53.000
#> 76   49.000
#> 77  181.000
#> 78  175.000
#> 79  170.000
#> 80  165.000
#> 81  160.000
#> 82  154.000
#> 83  149.000
#> 84  143.000
#> 85  138.000
#> 86  132.000
#> 87  127.000
#> 88  122.000
#> 89  117.000
#> 90  112.000
#> 91  110.000
#> 92  103.000
#> 93   98.000
#> 94   92.000
#> 95   88.000
#> 96   83.025
#> 97   79.000
#> 98   75.000
#> 99   71.000
#> 100  67.000
#> 101  63.000
#> 102 153.000
#> 103 119.000
#> 104  92.000
#> 105  69.000
#> 106  52.000
#> 107  40.000
#> 108  36.000
#> 109  31.000
#> 110  28.000
#> 111  24.000
#> 112  21.000
#> 113  19.000
#> 114  17.000
#> 115  16.000
#> 116  15.000
#> 117  14.000
#> 118  13.000
#> 119  12.000
#> 120  11.000
#> 121  10.000
#> 122   9.000
#> 123   8.000
#> 124   7.000
#> 125   6.000
#> 126   5.000
#> 127   4.000
#> 128   3.000
#> 129   2.000
#> 130   1.000
#> 131 183.000
#> 132 182.000
#> 133 181.000
#> 134 179.000
#> 135 176.000
#> 136 174.000
#> 137 173.000
#> 138 170.000
#> 139 169.000
#> 140 166.000
#> 141 165.000
#> 142 163.000
#> 143 162.000
#> 144 160.000
#> 145 159.000
#> 146 157.000
#> 147 154.025
#> 148 152.000
#> 149 151.000
#> 150 149.000
#> 151 147.000
#> 152 145.000
#> 153 144.000
#> 154 142.000
#> 155 140.000
#> 156 182.000
#> 157 177.000
#> 158 172.000
#> 159 166.000
#> 160 162.000
#> 161 156.000
#> 162 151.000
#> 163 144.000
#> 164 139.000
#> 165 134.000
#> 166 127.000
#> 167 122.000
#> 168 116.000
#> 169 111.000
#> 170 105.000
#> 171 100.000
#> 172  95.000
#> 173  91.000
#> 174  87.000
#> 175  83.000
#> 176  80.000
#> 177  76.000
#> 178  72.000
#> 179  68.000
#> 180  65.000
#> 181  61.000
#> 182  58.000
#> 183  54.000
#> 184  50.000
#> 

# Rank selected predictions from an Emax dose-response MBNMA
emax <- mbnma.run(network, fun=demax(), method="random")
#> `likelihood` not given by user - set to `binomial` based on data provided
#> `link` not given by user - set to `logit` based on assigned value for `likelihood`
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 182
#>    Unobserved stochastic nodes: 197
#>    Total graph size: 4115
#> 
#> Initializing model
#> 
doses <- list("eletriptan"=c(0,1,2,3), "rizatriptan"=c(0.5,1,2))
pred <- predict(emax, E0 = "rbeta(n, shape1=1, shape2=5)",
            exact.doses=doses)
rank <- rank(pred,
            rank.doses=list("eletriptan"=c(0,2), "rizatriptan"=2))

# Print and generate summary data frame for `mbnma.rank` object
summary(rank)
#> $Predictions
#>      rank.param  mean         sd 2.5% 25% 50% 75% 97.5%
#> 1  eletriptan_0 3.000 0.00000000    3   3   3   3     3
#> 2  eletriptan_2 1.998 0.04468406    2   2   2   2     2
#> 3 rizatriptan_2 1.002 0.04468406    1   1   1   1     1
#> 
print(rank)
#> 
#> ================================
#> Ranking of dose-response MBNMA
#> ================================
#> 
#> Includes ranking of predictions from dose-response MBNMA
#> 
#> 3 predictions ranked with negative responses being `worse`
#> 
#> Predictions ranking (from best to worst)
#> 
#> |Treatment     | Mean| Median| 2.5%| 97.5%|
#> |:-------------|----:|------:|----:|-----:|
#> |rizatriptan_2 |    1|      1|    1|     1|
#> |eletriptan_2  |    2|      2|    2|     2|
#> |eletriptan_0  |    3|      3|    3|     3|
#> 
#> 

# Plot `mbnma.rank` object
plot(rank)

# }