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R Package

sparselink-package
Sparse regression for related problems

Main functions

sparselink()
Sparse regression for related problems
coef(<sparselink>)
Regression Coefficients
predict(<sparselink>)
Out-of-sample Predictions

Other functions

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