Man pages for linogaliana/OpenCancer
Build statistical models to understand cancer causes
| addq | Wrapper to quote name |
| big.FE.lasso | Perform LASSO for feature selection and create linear... |
| big.model.FElasso | Perform LASSO for feature selection and create linear... |
| big.simplelasso | Perform LASSO to select best features for big.matrix objects |
| check.clean.import | Check if dataframe import is clean |
| check.emptycolumn | Count share of missing values in a variable |
| check.factor | Determine if a variable should be of factor class |
| convert.character | Convert all character variables to numeric |
| convert_fakezero | Detect potential miscoding NAs |
| count_NAs | Count share of missing values for all variables by group |
| createlag | Transform dataframe by creating multiple lagged variables |
| encode.character | Encode character vector with numeric values |
| expand.dummies | Transfor factor variables with a set of dummies |
| FE.lasso | Perform LASSO for feature selection and create linear... |
| fill_dataframe | Filling missing intermediate year vector |
| hello | Hello, World! |
| import_FAO | Importing data from Epidemium |
| interpolate_group | Given a grouped dataframe and a line, interpolate |
| label_variables | Use variables labels in a regression |
| lasso.coeff | Recover coefficients from a LASSO model |
| matchkeys | Match country name with its unique key |
| model.FElasso | LASSO feature selection and linear regression by group |
| OpenCancer | OpenCancer: Build statistical models to understand cancer... |
| performPreProcess | Preprocess data to harmonize scales |
| predict.FElasso | Prediction after a model.FElasso routine |
| recover_data | Perform feature selection on pointers and import data back in... |
| simplelasso | Perform LASSO to select best features |
