Man pages for estsyawo/bayesprdopt
Useful Functions and Algorithms

Band.Fn.objs'Band.Fn.objs' constructs Chernozhukov et al. 2013 Uniform...
BB_CBOM'BB_CBOM' computes Montiel Olea & Plagborg-Moller 2018...
compute.Ubands'compute.Ubands' is a high-level function for computing...
imlmreg2.fitICM-IV Regression
imlmreg.fitGeneric Linear Integrated Moment Regression
IndepMHgenA Generic Independence Metropolis-Hastings Algorithm
kClassIVreg.fitGeneric k-class estimator
Kern.funConstruction of n x n Kernel Matrices
Kern.fun_DLKernel matrix DL
Kern.fun_Esc6Kernel matrix Esc6
MDDMartingale Difference Divergence
MDDMMartingale Difference Divergence Matrix
mddtest.bootAn MDD-based Test of Mean Independence by Wild Bootstrap
mddtest.permAn MDD-based Test of Mean Independence by Permutation...
mdd.t_testAn MDD-based t-Test of Mean Independence
mdep.nlMDep objective function for non-linear models
mindep.bootAn ICM Test of Mean Independence by Wild Bootstrap
mmdlmrelv.b_testMMD Relevance Test
mmdlmspec.b_testMMD Specification Test
mmd.nlMMD objective function for non-linear models
mmdreg.fitMMD Regression
rwMHgenA Generic Random Walk Metropolis-Hastings Algorithm
speclmb.testICM Specification Test for linear models
sup_t_Band.LL'sup_t_Band.LL' constructs the sup-t uniform band following...
UBand.Fn'UBand.Fn' constructs Chernozhukov et al. 2013 Uniform...
wmat.mammenMammen's Wild Bootstrap Weights
estsyawo/bayesprdopt documentation built on April 2, 2024, 2:18 p.m.