API for junyangq/multiSnpnet
Fit a sparse reduced rank regression model on large-scale SNP data and multivariate responses

Global functions
MSE_coef Source code
MSE_col Source code
SRRR_iterative_missing_covariates Source code
alternate_Y_glmnet Source code
check_configs_diff Source code
check_early_stopping_condition Man page Source code
check_if_metric_exists Man page Source code
coef_multisnpnet Man page Source code
compute_lambda_min_ratio Source code
drop_bulky_stuff_in_fit_object Man page Source code
extract_all_metrics Man page Source code
extract_metrics Man page Source code
extract_weight Man page Source code
extract_weighted_metrics Man page Source code
find_best_lambda_index Man page Source code
find_prev_iter Man page Source code
get_cb_colors Man page Source code
get_non_NA_lines Man page Source code
get_non_zero_coefficients Man page Source code
get_non_zero_coefficients_as_data_frame Man page Source code
get_non_zero_lines Man page Source code
get_rdata_path Man page Source code
get_summary_metrics Man page Source code
initial_Y_imputation Source code
load_multiSnpnetRdata Man page Source code
load_multiSnpnetResultsFromRDataFiles Man page Source code
multisnpnet Man page Source code
plot_biplot Man page Source code
plot_multisnpnet Man page Source code
plot_scree Man page Source code
predict_multisnpnet Man page Source code
prepare_multiSnpnetResults Man page Source code
read_lambda_sequence_from_multiSnpnetResults Man page Source code
read_pvar Man page Source code
row_norm2 Source code
safe_product Source code
score_contribution Man page Source code
score_squared_cosine Man page Source code
separate_ID_ALT_into_two_columns Man page Source code
setupMultiConfigs Source code
timeDiff Source code
time_diff Source code
tsvd_of_C_variant_loadings_as_data_framte Man page Source code
tsvd_of_C_with_names Man page Source code
weighted_rowMeans Man page Source code
which_row_active Source code
y_de_standardization Source code
y_standardization Source code
junyangq/multiSnpnet documentation built on Oct. 19, 2023, 8:22 p.m.