Package index
-
sparselink-package - Sparse regression for related problems
-
sparselink() - Sparse regression for related problems
-
coef(<sparselink>) - Regression Coefficients
-
predict(<sparselink>) - Out-of-sample Predictions
-
logit() - logit function
-
sigmoid() - Sigmoid function
-
link_function() - Link function
-
mean_function() - Mean function
-
calc_metric() - Calculate deviance
-
make_folds_multi()make_folds_trans() - Create folds for multi-task and transfer learning
-
get_info() - Extract dimensionality.
-
fuse_data() - Data fusion
-
construct_weights() - Construct internal and external weights
-
construct_penfacs() - Construct penalty factors
-
wrap_empty()wrap_separate()predict(<wrap_separate>)coef(<wrap_separate>)wrap_common()predict(<wrap_common>)coef(<wrap_common>)wrap_mgaussian()predict(<wrap_mgaussian>)coef(<wrap_mgaussian>)wrap_spls()predict(<wrap_spls>)coef(<wrap_spls>)wrap_glmtrans()predict(<wrap_glmtrans>)coef(<wrap_glmtrans>)wrap_xrnet()predict(<wrap_xrnet>)coef(<wrap_xrnet>) - Available methods
-
sim_data_multi()sim_data_trans() - Data simulation for related problems
-
traintest() - Train and test model
-
cv_multiple()cv_transfer() - Model comparison
-
count_vector()count_matrix() - Metrics for sign detection
-
plot_change() - Pairwise differences
-
plot_weight() - Visualise metric that depends on two parameters