Files in jstarling1/starlib
All of my useful functions.

.RData
.Rapp.history
.Rbuildignore
.Rhistory
.Rproj.user/4F02B44F/pcs/files-pane.pper
.Rproj.user/4F02B44F/pcs/source-pane.pper
.Rproj.user/4F02B44F/pcs/windowlayoutstate.pper
.Rproj.user/4F02B44F/pcs/workbench-pane.pper
.gitignore
DESCRIPTION
NAMESPACE
R/.Rapp.history
R/ADtest.R R/ChiFCritVal.R R/CrossProduct3D.R R/KStest.R R/RFSampleScheme.R R/StepwiseBackward.R R/StepwiseFwd.R R/adaptive_rej_sampling.R R/align_p_val.R R/calcProps.R R/cleanData.R R/contrastTest.R R/degreesToRadians.R R/densityShadeDemo.R R/dirichlet.loglik.R R/emAllFeatures.R R/emCalcMix.R
R/gauss_seidel_solver.cpp
R/genMatrix.R R/inv.digamma.R R/linear.disc.analysis.R R/linear.regression.R R/logistic_regression_chisq_gof.R R/mallowCp.R R/myBoxCox.R R/myIRLS.R R/myProbHist.R R/myRF.R R/newproject.R R/prox_l1.R R/qr_solver.R R/ratio_of_uniforms.R R/rref.R R/safeKDE.R R/sampleSizeCalc.R R/soft.thresholding.R R/threeClassSim.R R/threeClassSimCor.R R/ttestCorrSim.R R/vecAngle.R R/vecNorm.R README.md Sample Code/Bayesian Document Model Example.R Sample Code/Bayesian Document Model Toy Example.R Sample Code/Data Exploration Toy Example.R Sample Code/Dirichlet MLE Estimation.R Sample Code/EM Algorithm Multinomial Example.R Sample Code/KNN and Decision Trees Toy Example.R Sample Code/Linear Discriminant Analysis.R Sample Code/Missing Data Imputation Toy Example.R Sample Code/Model Selection (Cp Fwd Bwd Zeng Loh) and Cross Validation.R Sample Code/Naive Bayes Example.R Sample Code/Neural Network Toy Example.R Sample Code/Parametric Bootstrap and CI for Normal Mean.R Sample Code/Ratio_of_Uniforms_Sampling_from_Gamma_Density.R Sample Code/Rejection_Sampling_Example.R Sample Code_Modeling2/Linear Smoothing (Kernel Regression)/SDS383D_Ex03_2_B_Kernel Smoother Function.R Sample Code_Modeling2/Linear Smoothing (Kernel Regression)/SDS383D_Ex03_3_B_Kernel Bandwidth Tuning.R Sample Code_Modeling2/Linear Smoothing (Kernel Regression)/SDS383D_Ex3_FUNCTIONS.R Sample Code_Modeling2/SDS383D_Ex 02_Bayesian Linear Regression.R Sample Code_Modeling2/SDS383D_Ex02_Gibbs Sampler Bayesian Regression.R Sample Code_Modeling2/halft.R
Sample Code_Modeling2/rmvnorm_and_riwish_cpp.cpp
Sample Code_Prelim Demos/EM Algorithm Gaussian Mixture.R
data/.Rapp.history
data/bbcsport.classes
data/bbcsport.docs
data/bbcsport.mtx
data/bbcsport.terms
data/breast-cancer.data
data/contrast_data.rda
data/dir1.txt
data/mpg_data.csv
data/mpg_data_key.txt
data/prostate_data.txt
data/prostate_data_key.txt
data/vowel.info.txt
data/vowel.test.txt
data/vowel.train.txt
man/ADtest.Rd man/ChiFCritVal.Rd man/CrossProduct3D.Rd man/KStest.Rd man/RFSampleScheme.Rd man/align_p_val.Rd man/calcProps.Rd man/cleanData.Rd man/degreesToRadians.Rd man/emAllFeatures.Rd man/emCalcMix.Rd man/genMatrix.Rd man/myBoxCox.Rd man/myProbHist.Rd man/myRF.Rd man/safeKDE.Rd man/soft.thresholding.Rd man/starlib-package.Rd man/threeClassSim.Rd man/threeClassSimCor.Rd man/ttestCorrSim.Rd man/vecAngle.Rd man/vecNorm.Rd projectDescription.Rmd starlib.R
starlib.Rproj
jstarling1/starlib documentation built on Aug. 4, 2017, 2:15 a.m.