Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'

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Documentation for package ‘npRmpi’ version 0.70-1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Code demos. Use demo() to run them.
• Package NEWS
• Package README

Help Pages

B C D E G I L M N O P S T U W

npRmpi-package

Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types

-- B --

b.star	Compute Optimal Block Length for Stationary and Circular Bootstrap
bw	Cross Country Growth Panel
bw.all	Cross-Sectional Data on Wages
bw.subset	Cross-Sectional Data on Wages

-- C --

cps71

Canadian High School Graduate Earnings

-- D --

dimBS

Local-Polynomial Basis Dimension Helper

-- E --

Engel95

1995 British Family Expenditure Survey

-- G --

gradients	Extract Gradients
gradients.condensity	Extract Gradients
gradients.condistribution	Extract Gradients
gradients.npregression	Extract Gradients
gradients.qregression	Extract Gradients
gradients.singleindex	Extract Gradients

-- I --

Italy

Italian GDP Panel

-- L --

lamhosts

Hosts Information

-- M --

mpi.barrier	MPI_Barrier API
mpi.bcast	MPI_Bcast API
mpi.bcast.cmd	Extension of MPI_Bcast API
mpi.bcast.Robj	Extensions of MPI_Bcast API
mpi.bcast.Robj2slave	Extensions of MPI_Bcast API
mpi.close.Rslaves	Close and Inspect R Slaves
mpi.comm.dup	MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs
mpi.comm.free	MPI_Comm_free API
mpi.comm.rank	MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs
mpi.comm.size	MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs
mpi.exit	Exit MPI Environment
mpi.get.processor.name	MPI_Get_processor_name API
mpi.get.version	MPI_Get_version API
mpi.hostinfo	Host Information Utilities
mpi.is.master	Hosts Information
mpi.quit	Exit MPI Environment

-- N --

np.kernels	Kernel Functions Used In 'npRmpi'
np.mpi.initialize	Initialize Ranks for Manual-Broadcast npRmpi Workflows
np.options	Global Package Options for 'npRmpi'
np.pairs	Cross-Validated Pairs Plot (Helper Functions)
np.pairs.plot	Cross-Validated Pairs Plot (Helper Functions)
npcdens	Kernel Conditional Density Estimation with Mixed Data Types
npcdens.conbandwidth	Kernel Conditional Density Estimation with Mixed Data Types
npcdens.default	Kernel Conditional Density Estimation with Mixed Data Types
npcdens.formula	Kernel Conditional Density Estimation with Mixed Data Types
npcdensbw	Kernel Conditional Density Bandwidth Selection with Mixed Data Types
npcdensbw.conbandwidth	Kernel Conditional Density Bandwidth Selection with Mixed Data Types
npcdensbw.default	Kernel Conditional Density Bandwidth Selection with Mixed Data Types
npcdensbw.formula	Kernel Conditional Density Bandwidth Selection with Mixed Data Types
npcdenshat	Conditional Density Hat Operator
npcdist	Kernel Conditional Distribution Estimation with Mixed Data Types
npcdist.condbandwidth	Kernel Conditional Distribution Estimation with Mixed Data Types
npcdist.default	Kernel Conditional Distribution Estimation with Mixed Data Types
npcdist.formula	Kernel Conditional Distribution Estimation with Mixed Data Types
npcdistbw	Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types
npcdistbw.condbandwidth	Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types
npcdistbw.default	Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types
npcdistbw.formula	Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types
npcdisthat	Conditional Distribution Hat Operator
npcmstest	Kernel Consistent Model Specification Test with Mixed Data Types
npconmode	Kernel Modal Regression with Mixed Data Types
npconmode.conbandwidth	Kernel Modal Regression with Mixed Data Types
npconmode.default	Kernel Modal Regression with Mixed Data Types
npconmode.formula	Kernel Modal Regression with Mixed Data Types
npcopula	Kernel Copula Estimation with Mixed Data Types
npdeneqtest	Kernel Consistent Density Equality Test with Mixed Data Types
npdeptest	Kernel Consistent Pairwise Nonlinear Dependence Test for Univariate Processes
npindex	Semiparametric Single Index Model
npindex.default	Semiparametric Single Index Model
npindex.formula	Semiparametric Single Index Model
npindex.sibandwidth	Semiparametric Single Index Model
npindexbw	Semiparametric Single Index Model Parameter and Bandwidth Selection
npindexbw.default	Semiparametric Single Index Model Parameter and Bandwidth Selection
npindexbw.formula	Semiparametric Single Index Model Parameter and Bandwidth Selection
npindexbw.sibandwidth	Semiparametric Single Index Model Parameter and Bandwidth Selection
npindexhat	Experimental Hat Operators for Semiparametric Estimators
npksum	Kernel Sums with Mixed Data Types
npksum.default	Kernel Sums with Mixed Data Types
npksum.formula	Kernel Sums with Mixed Data Types
npksum.numeric	Kernel Sums with Mixed Data Types
npplreg	Partially Linear Kernel Regression with Mixed Data Types
npplreg.default	Partially Linear Kernel Regression with Mixed Data Types
npplreg.formula	Partially Linear Kernel Regression with Mixed Data Types
npplreg.plbandwidth	Partially Linear Kernel Regression with Mixed Data Types
npplregbw	Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types
npplregbw.default	Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types
npplregbw.formula	Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types
npplregbw.plbandwidth	Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types
npplreghat	Experimental Hat Operators for Semiparametric Estimators
npqcmstest	Kernel Consistent Quantile Regression Model Specification Test with Mixed Data Types
npqreg	Kernel Quantile Regression with Mixed Data Types
npqreg.condbandwidth	Kernel Quantile Regression with Mixed Data Types
npqreg.default	Kernel Quantile Regression with Mixed Data Types
npqreg.formula	Kernel Quantile Regression with Mixed Data Types
npquantile	Kernel Univariate Quantile Estimation
npreg	Kernel Regression with Mixed Data Types
npreg.default	Kernel Regression with Mixed Data Types
npreg.formula	Kernel Regression with Mixed Data Types
npreg.rbandwidth	Kernel Regression with Mixed Data Types
npregbw	Kernel Regression Bandwidth Selection with Mixed Data Types
npregbw.default	Kernel Regression Bandwidth Selection with Mixed Data Types
npregbw.formula	Kernel Regression Bandwidth Selection with Mixed Data Types
npregbw.rbandwidth	Kernel Regression Bandwidth Selection with Mixed Data Types
npreghat	Nonparametric Regression Hat Operator
npreghat.formula	Nonparametric Regression Hat Operator
npreghat.npregression	Nonparametric Regression Hat Operator
npreghat.rbandwidth	Nonparametric Regression Hat Operator
npregiv	Nonparametric Instrumental Regression
npregivderiv	Nonparametric Instrumental Derivatives
npRmpi	Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types
npRmpi.init	Init/Quit Helpers for Session and Attach npRmpi Workflows
npRmpi.quit	Init/Quit Helpers for Session and Attach npRmpi Workflows
npRmpi.session.info	Init/Quit Helpers for Session and Attach npRmpi Workflows
npscoef	Smooth Coefficient Kernel Regression
npscoef.default	Smooth Coefficient Kernel Regression
npscoef.formula	Smooth Coefficient Kernel Regression
npscoef.scbandwidth	Smooth Coefficient Kernel Regression
npscoefbw	Smooth Coefficient Kernel Regression Bandwidth Selection
npscoefbw.default	Smooth Coefficient Kernel Regression Bandwidth Selection
npscoefbw.formula	Smooth Coefficient Kernel Regression Bandwidth Selection
npscoefbw.scbandwidth	Smooth Coefficient Kernel Regression Bandwidth Selection
npscoefhat	Experimental Hat Operators for Semiparametric Estimators
npsdeptest	Kernel Consistent Serial Dependence Test for Univariate Nonlinear Processes
npseed	Set Random Seed
npsigtest	Kernel Regression Significance Test with Mixed Data Types
npsigtest.default	Kernel Regression Significance Test with Mixed Data Types
npsigtest.formula	Kernel Regression Significance Test with Mixed Data Types
npsigtest.npregression	Kernel Regression Significance Test with Mixed Data Types
npsigtest.rbandwidth	Kernel Regression Significance Test with Mixed Data Types
npsymtest	Kernel Consistent Density Asymmetry Test with Mixed Data Types
nptgauss	Truncated Second-order Gaussian Kernels
npudens	Kernel Density Estimation with Mixed Data Types
npudens.bandwidth	Kernel Density Estimation with Mixed Data Types
npudens.default	Kernel Density Estimation with Mixed Data Types
npudens.formula	Kernel Density Estimation with Mixed Data Types
npudensbw	Kernel Density Bandwidth Selection with Mixed Data Types
npudensbw.bandwidth	Kernel Density Bandwidth Selection with Mixed Data Types
npudensbw.default	Kernel Density Bandwidth Selection with Mixed Data Types
npudensbw.formula	Kernel Density Bandwidth Selection with Mixed Data Types
npudenshat	Unconditional Density Hat Operator
npudist	Kernel Distribution Estimation with Mixed Data Types
npudist.dbandwidth	Kernel Distribution Estimation with Mixed Data Types
npudist.default	Kernel Distribution Estimation with Mixed Data Types
npudist.formula	Kernel Distribution Estimation with Mixed Data Types
npudistbw	Kernel Distribution Bandwidth Selection with Mixed Data Types
npudistbw.dbandwidth	Kernel Distribution Bandwidth Selection with Mixed Data Types
npudistbw.default	Kernel Distribution Bandwidth Selection with Mixed Data Types
npudistbw.formula	Kernel Distribution Bandwidth Selection with Mixed Data Types
npudisthat	Unconditional Distribution Hat Operator
npuniden.boundary	Kernel Bounded Univariate Density Estimation Via Boundary Kernel Functions
npuniden.reflect	Kernel Bounded Univariate Density Estimation Via Data-Reflection
npuniden.sc	Kernel Shape Constrained Bounded Univariate Density Estimation
npunitest	Kernel Consistent Univariate Density Equality Test with Mixed Data Types

-- O --

oecdpanel

Cross Country Growth Panel

-- P --

plot.bandwidth	General Purpose Plotting of Nonparametric Objects
plot.conbandwidth	General Purpose Plotting of Nonparametric Objects
plot.np	General Purpose Plotting of Nonparametric Objects
plot.plbandwidth	General Purpose Plotting of Nonparametric Objects
plot.rbandwidth	General Purpose Plotting of Nonparametric Objects
plot.scbandwidth	General Purpose Plotting of Nonparametric Objects
plot.sibandwidth	General Purpose Plotting of Nonparametric Objects
predict.npreghat	Nonparametric Regression Hat Operator
print.npreghat	Nonparametric Regression Hat Operator

-- S --

se	Extract Standard Errors
slave.hostinfo	Host Information Utilities

-- T --

tailslave.log

Close and Inspect R Slaves

-- U --

uocquantile

Compute Quantiles

-- W --

wage1

Cross-Sectional Data on Wages