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

## 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.

## 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