Man pages for gregorkb/semipadd2pop
Combine two data sets to fit semiparametric additive models
| all_binary_sequences | Generate all possible sequences of 0s and 1s of a given... |
| array.assay.gen | Generates array testing data. |
| corrBern | Generate Bernoulli random vector with a certain correlation... |
| corrUnif | Generate correlated Uniform(0,1) random variables |
| dorfman.assay.gen | Generates Dorfman testing data. |
| EYapprox | Approximates the conditional expectations of individual... |
| EYexact | Computes conditional expectations of individual disease... |
| EYexact_R | Computes conditional expectations of individual disease... |
| EYgibbs | Computes approximate conditional expectations of individual... |
| FoygelDrton_Armadillo | Minimize l2-penalized quadratic function |
| get_grouplasso2pop_data | Generate two data sets with some common covariates |
| get_grouplasso_data | Generate a data set for group lasso |
| get_semipadd2pop_data | Generate two data sets for semiparametric additive modeling... |
| get_semipadd2pop_simulation_data | Generate two data sets for semiparametric additive modeling... |
| get_semipadd_data | Generate a data set for semiparametric additive modeling with... |
| grouplasso2pop_gt | Compute group lasso for two populations with group testing... |
| grouplasso2pop_gt_cv_adapt | Choose tuning parameters for two population group lasso... |
| grouplasso2pop_gt_cv_fixedgrid | Choose tuning parameters by crossvalidation for... |
| grouplasso2pop_gt_grid | Compute group lasso for two populations with group testing... |
| grouplasso2pop_linreg | Minimize the objective function of the 2-population group... |
| grouplasso2pop_linreg_cv_adapt | Choose tuning parameters by crossvalidation for... |
| grouplasso2pop_linreg_cv_fixedgrid | Choose tuning parameters by crossvalidation for... |
| grouplasso2pop_linreg_grid | Fit grouplasso2pop regression estimator over a grid of lambda... |
| grouplasso2pop_linreg_slower | Minimize the objective function of the 2-population group... |
| grouplasso2pop_logreg | Minimize the objective function of the 2-population group... |
| grouplasso2pop_logreg_cv_adapt | Choose tuning parameters by crossvalidation for... |
| grouplasso2pop_logreg_cv_fixedgrid | Choose tuning parameters by crossvalidation for... |
| grouplasso2pop_logreg_grid | Fit grouplasso2pop logistic regression estimator over a grid... |
| grouplasso2pop_logreg_slower | Minimize the objective function of the 2-population group... |
| grouplasso2pop_to_semipadd2pop | Convert output from grouplasso2pop to the fitted functions of... |
| grouplasso_gt | Compute group lasso for two populations with group testing... |
| grouplasso_gt_cv_adapt | Choose tuning parameters for the group lasso estimator with... |
| grouplasso_gt_cv_fixedgrid | Choose tuning parameters by crossvalidation for grouplasso... |
| grouplasso_gt_grid | Fit grouplasso logistic regression estimator with group... |
| grouplasso_linreg | Minimize the objective function of the group lasso problem... |
| grouplasso_linreg_cv_adapt | Choose tuning parameters by crossvalidation for grouplasso... |
| grouplasso_linreg_cv_fixedgrid | Choose tuning parameters by crossvalidation for grouplasso... |
| grouplasso_linreg_grid | Fit group lasso regression estimator for continuous resopnse... |
| grouplasso_linreg_slower | Minimize the objective function of the group lasso problem... |
| grouplasso_logreg | Minimize the objective function of the group lasso problem... |
| grouplasso_logreg_cv_adapt | Choose tuning parameters by crossvalidation for grouplasso... |
| grouplasso_logreg_cv_fixedgrid | Choose tuning parameters by crossvalidation for grouplasso... |
| grouplasso_logreg_grid | Fit grouplasso logistic regression estimator over a grid of... |
| grouplasso_logreg_slower | Minimize the objective function of the group lasso problem... |
| grouplasso_to_semipadd | Convert output from grouplasso to the fitted functions of the... |
| individual.assay.gen | Generates individual testing data. |
| int.knots.at.empirical.quantiles | Put knots at empirical quantiles, accommodating data with... |
| logit | The logit function |
| masterpool.assay.gen | Generates master pool testing data. |
| plot_semipadd | Plot method for class semipadd |
| plot_semipadd2pop | A function for plotting the output of the function... |
| plot_semipadd2pop_cv_adapt | A function for plotting the output of the function... |
| plot_semipadd_cv_adapt | Plot method for class semipadd_cv |
| pull.diagnoses | Pulls individual diagnoses from group testing data if... |
| rcpp_hello_world | Simple function using Rcpp |
| semipadd | Fit semiparametric regression model |
| semipadd2pop | Compute semiparametric binary-response regression model with... |
| semipadd2pop_cv_adapt | Compute semiparametric binary-response regression model with... |
| semipadd2pop-package | Combine two data sets to fit semiparametric additive models |
| semipadd2pop_to_grouplasso2pop | Prepare inputs for grouplasso2pop function when using it to... |
| semipadd_cv_adapt | Compute semiparametric regression model using cv to choose... |
| semipadd_to_grouplasso | Prepare inputs for grouplasso function when using it to fit a... |
| SoftThresh_scalar | The soft-thresholding function for a scalar input |
| spsm_cubespline_design | Get design matrix for finding regression splines coefficients... |
