Chris Kennedy's R Toolkit

Documentation for package ‘ck37r’ version 1.0.0

cvsl_auc	Calculate cross-validated AUC from CV.SuperLearner result
cvsl_plot_roc	Plot a ROC curve from cross-validated AUC from CV.SuperLearner
cvsl_weights	Create a table of meta-weights from a CV.SuperLearner
gen_superlearner	Setup a SuperLearner() based on parallel configuration.
import_csvs	Import all CSV files in a given directory and save them to a list.
impute_missing_values	Impute missing values in a dataframe and add missingness indicators.
load_all_code	Load all R files in a library directory.
load_packages	Load a list of packages.
missingness_indicators	Return matrix of missingness indicators for a dataframe or matrix.
Mode	Compute the mode of a vector (can be multiple results).
parallelize	Setup parallel processing, either multinode or multicore.
plot.SuperLearner	Plot estimated risk and confidence interval for each learner
rf_count_terminal_nodes	Count the terminal nodes in each tree from a random forest
setup_parallel_tmle	Setup TMLE to run in parallel
sl_auc_table	Table of cross-validated AUCs from SuperLearner result
sl_plot_roc	Plot a ROC curve from cross-validated AUC from SuperLearner
sl_stderr	Calculate the SE of individual SL learners
standardize	Rescale variables, possibly excluding some columns
stop_cluster	Stop the cluster if snow::makeCluster() was used, but nothing needed if doMC was used.
tmle_parallel	Modify TMLE to support parallel computation for g and Q.