LASSOLKTModel {LKT}

LASSOLKTModel

Description

runs LASSO search on the data

Usage

LASSOLKTModel(
  data,
  gridpars,
  allcomponents,
  preset = NA,
  presetint = T,
  allfeatures,
  specialcomponents = c(),
  specialfeatures = c(),
  specialpars = c(),
  target_n,
  removefeat = c(),
  removecomp = c(),
  test_fold = 1
)

Arguments

data

is a dataset with Anon.Student.Id and CF..ansbin.

gridpars

a vector of parameters to create each feature at

allcomponents

is search space for LKT components

preset

One of "static","AFM","PFA","advanced","AFMLLTM","PFALLTM","advancedLLTM"

presetint

should the intercepts be included for preset components

allfeatures

is search space for LKT features

specialcomponents

add special components (not crossed with features, only paired with special features 1 for 1)

specialfeatures

features for each special component (not crossed during search)

specialpars

parameters for the special features (if needed)

target_n

chosen number of features in model

removefeat

Character Vector | Excludes specified features from the test list.

removecomp

Character Vector | Excludes specified components from the test list.

test_fold

the fold that the chosen LASSO model will be tested on

Value

list of matrices and values "train_x","train_y","test_x","test_y","fit","target_auc","target_rmse","n_features","auc_lambda","rmse_lambda","BIC_lambda","target_idx", "preds"