Man pages for linogaliana/OpenCancer
Build statistical models to understand cancer causes

addqWrapper to quote name
big.FE.lassoPerform LASSO for feature selection and create linear...
big.model.FElassoPerform LASSO for feature selection and create linear...
big.simplelassoPerform LASSO to select best features for big.matrix objects
check.clean.importCheck if dataframe import is clean
check.emptycolumnCount share of missing values in a variable
check.factorDetermine if a variable should be of factor class
convert.characterConvert all character variables to numeric
convert_fakezeroDetect potential miscoding NAs
count_NAsCount share of missing values for all variables by group
createlagTransform dataframe by creating multiple lagged variables
encode.characterEncode character vector with numeric values
expand.dummiesTransfor factor variables with a set of dummies
FE.lassoPerform LASSO for feature selection and create linear...
fill_dataframeFilling missing intermediate year vector
helloHello, World!
import_FAOImporting data from Epidemium
interpolate_groupGiven a grouped dataframe and a line, interpolate
label_variablesUse variables labels in a regression
lasso.coeffRecover coefficients from a LASSO model
matchkeysMatch country name with its unique key
model.FElassoLASSO feature selection and linear regression by group
OpenCancerOpenCancer: Build statistical models to understand cancer...
performPreProcessPreprocess data to harmonize scales
predict.FElassoPrediction after a model.FElasso routine
recover_dataPerform feature selection on pointers and import data back in...
simplelassoPerform LASSO to select best features
linogaliana/OpenCancer documentation built on Dec. 3, 2017, 7:18 p.m.