Prediction method for mbtransfer objects — mbtransfer

Prediction method for mbtransfer objects

Usage

mbtransfer_predict(object, newdata)

Arguments

object: An object of class mbtransfer_model, as generated using the mbtransfer function. This includes trained boosting models for every taxon, stored within the @parameters slot.
newdata: A new ts_inter object over which to perform prediction. This method will make predictions for every timepoint that appears in the @interventions slot but not the @values.

Examples

data(sim_ts)
fit <- mbtransfer(sim_ts)
ts_subset <- subset_values(sim_ts, 1:25)
predict(fit, ts_subset)
#> # A ts_inter object | 100 taxa | 50 subjects | 27.00 ± 0.00 timepoints:
#> 
#> S1:
#>      S1_T1 S1_T2 S1_T3 S1_T4  
#> tax1     5     7     5     3 …
#> tax2    23    43    19     3 …
#> tax3    17    40    42    25 …
#> tax4    30    12    15     7 …
#>          ⋮     ⋮     ⋮     ⋮ ⋱
#> 
#> S2:
#>      S2_T1 S2_T2 S2_T3 S2_T4  
#> tax1     6     4    11     8 …
#> tax2    53    12    15     1 …
#> tax3     6     8    23     5 …
#> tax4    24    11    12    15 …
#>          ⋮     ⋮     ⋮     ⋮ ⋱
#> 
#> S3:
#>      S3_T1 S3_T2 S3_T3 S3_T4  
#> tax1     5     3     6     5 …
#> tax2     9    13    26     3 …
#> tax3    60    13     4     6 …
#> tax4    22    17     6     8 …
#>          ⋮     ⋮     ⋮     ⋮ ⋱
#> 
#> and 47 more subjects.