Man pages for mpoll/scale
The Scaleable Langevin Exact Algorithm -- Reference Implementation

ac.phiMurray...
airline.logistic.exampleAirline Data Logistic Regression Example
approx.intensityMurray...
bm.passBrownian motion passage time
data.evalMurray...
data.extremaCompute Data Extrema
data.extrema.2Compute Data Extema
data.initData initialization
data.init.2Initialization
data.subsetData Subset
datum.evalMurray...
dev.prDev.pr
dev.rejMurray...
eabesexMurray...
eabesmidMurray...
eachiMurray...
eachi_cppMurray...
eadelMurray...
eadel2Murray...
eadel2_cppMurray...
eadelCMurray...
eadel_cppMurray...
eadel_pair_cppMurray...
eadelRMurray...
eagammaMurray...
eagamma_cppMurray...
eapsiMurray...
eapsi_cppMurray...
eazetaMurray...
eazeta_cppMurray...
ins.sort.cMurray...
ins.sort.rMurray...
logistic.centeringCompute centering value for logistic regression
mat.sort.cMurray...
mat.sort.rMurray...
multi.resampMultinomial Resampling
part.controlMurray...
part.essMurray...
part.normalMurray...
p.path.initP path init
p.path.renewMurray...
resid.resampResidual Resampling
scale_approxApproximate implementation of scale algorithm
scale_ergodicScaLE Ergodic Extraction
scale_exactExact scale algortihm
scale_extendScale extend
scale_fileapply_pass_1Helper Function for Computing Preconditioning and Centering
scale_fileapply_pass_2Helper Function for Computing Preconditioning and Centering
scale_logisticScale for a logistic data set
scale-packageThe Scaleable Langevin Exact Algorithm - Reference...
scale_resampMurray...
scale_transformSimple Preconditioning Transformation
scale_zero.incMurray...
scale_zero.weiMurray...
ss.phiSS.phi
ss.phiCMurray...
ss.phiC.upMurray...
strat.resampStratified Resampling
system.resampSystematic Resampling
uninformative.logistic.exampleA variably informative logistic regression example
un_scale_transformReverse Simple Preconditioning Transformation
mpoll/scale documentation built on Dec. 9, 2019, 7:15 a.m.