| mpi.abort |
MPI_Abort API |
| mpi.allgather |
MPI_Gather, MPI_Gatherv, MPI_Allgather, and MPI_Allgatherv APIs |
| mpi.allgather.Robj |
Extentions of MPI_Gather and MPI_Allgather APIs |
| mpi.allgatherv |
MPI_Gather, MPI_Gatherv, MPI_Allgather, and MPI_Allgatherv APIs |
| mpi.allreduce |
MPI_Reduce and MPI_Allreduce APIs |
| mpi.any.source |
MPI Constants |
| mpi.any.tag |
MPI Constants |
| mpi.apply |
Scatter an array to slaves and then apply a FUN |
| mpi.applyLB |
(Load balancing) parallel apply |
| mpi.barrier |
MPI_Barrier API |
| mpi.bcast |
MPI_Bcast API |
| mpi.bcast.cmd |
Extension of MPI_Bcast API |
| mpi.bcast.data2slave |
Extensions of MPI_Bcast API |
| mpi.bcast.Rfun2slave |
Extensions of MPI_Bcast API |
| mpi.bcast.Robj |
Extensions of MPI_Bcast API |
| mpi.bcast.Robj2slave |
Extensions of MPI_Bcast API |
| mpi.cancel |
Nonblocking completion operations |
| mpi.cart.coords |
MPI_Cart_coords |
| mpi.cart.create |
MPI_Cart_create |
| mpi.cart.get |
MPI_Cart_get |
| mpi.cart.rank |
MPI_Cart_rank |
| mpi.cart.shift |
MPI_Cart_shift |
| mpi.cartdim.get |
MPI_Cartdim_get |
| mpi.close.Rslaves |
Spawn and Close R Slaves |
| mpi.comm.c2f |
MPI_Comm_c2f, MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs |
| mpi.comm.disconnect |
MPI_Comm_disconnect API |
| mpi.comm.dup |
MPI_Comm_c2f, MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs |
| mpi.comm.free |
MPI_Comm_free API |
| mpi.comm.get.parent |
MPI_Comm_get_parent, MPI_Comm_remote_size, MPI_Comm_test_inter APIs |
| mpi.comm.maxsize |
Find and increase the lengths of MPI opaques comm, request, and status |
| mpi.comm.rank |
MPI_Comm_c2f, MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs |
| mpi.comm.remote.size |
MPI_Comm_get_parent, MPI_Comm_remote_size, MPI_Comm_test_inter APIs |
| mpi.comm.set.errhandler |
MPI_Comm_set_errhandler API |
| mpi.comm.size |
MPI_Comm_c2f, MPI_Comm_dup, MPI_Comm_rank, and MPI_Comm_size APIs |
| mpi.comm.spawn |
MPI_Comm_spawn API |
| mpi.comm.test.inter |
MPI_Comm_get_parent, MPI_Comm_remote_size, MPI_Comm_test_inter APIs |
| mpi.dims.create |
MPI_Dims_create |
| mpi.exit |
Exit MPI Environment |
| mpi.finalize |
MPI_Finalize API |
| mpi.gather |
MPI_Gather, MPI_Gatherv, MPI_Allgather, and MPI_Allgatherv APIs |
| mpi.gather.Robj |
Extentions of MPI_Gather and MPI_Allgather APIs |
| mpi.gatherv |
MPI_Gather, MPI_Gatherv, MPI_Allgather, and MPI_Allgatherv APIs |
| mpi.get.count |
MPI_Get_count API |
| mpi.get.processor.name |
MPI_Get_processor_name API |
| mpi.get.sourcetag |
Utility for finding the source and tag of a received message |
| mpi.hostinfo |
Hosts Information |
| mpi.iapply |
Scatter an array to slaves and then apply a FUN |
| mpi.iapplyLB |
(Load balancing) parallel apply with nonblocking features |
| mpi.info.create |
MPI_Info_create, MPI_Info_free, MPI_Info_get, MPI_Info_set APIs |
| mpi.info.free |
MPI_Info_create, MPI_Info_free, MPI_Info_get, MPI_Info_set APIs |
| mpi.info.get |
MPI_Info_create, MPI_Info_free, MPI_Info_get, MPI_Info_set APIs |
| mpi.info.set |
MPI_Info_create, MPI_Info_free, MPI_Info_get, MPI_Info_set APIs |
| mpi.intercomm.merge |
MPI_Intercomm_merge API |
| mpi.iparApply |
(Load balancing) parallel apply with nonblocking features |
| mpi.iparCapply |
(Load balancing) parallel apply with nonblocking features |
| mpi.iparLapply |
(Load balancing) parallel apply with nonblocking features |
| mpi.iparMM |
(Load balancing) parallel apply with nonblocking features |
| mpi.iparRapply |
(Load balancing) parallel apply with nonblocking features |
| mpi.iparReplicate |
(Load balancing) parallel apply with nonblocking features |
| mpi.iparSapply |
(Load balancing) parallel apply with nonblocking features |
| mpi.iprobe |
MPI_Probe and MPI_Iprobe APIs |
| mpi.irecv |
MPI_Send, MPI_Isend, MPI_Recv, and MPI_Irecv APIs |
| mpi.is.master |
Hosts Information |
| mpi.isend |
MPI_Send, MPI_Isend, MPI_Recv, and MPI_Irecv APIs |
| mpi.isend.Robj |
Extensions of MPI_Send and MPI_Recv APIs |
| mpi.parApply |
(Load balancing) parallel apply |
| mpi.parCapply |
(Load balancing) parallel apply |
| mpi.parLapply |
(Load balancing) parallel apply |
| mpi.parMM |
(Load balancing) parallel apply |
| mpi.parRapply |
(Load balancing) parallel apply |
| mpi.parReplicate |
(Load balancing) parallel apply |
| mpi.parSapply |
(Load balancing) parallel apply |
| mpi.parSim |
Parallel Monte Carlo Simulation |
| mpi.probe |
MPI_Probe and MPI_Iprobe APIs |
| mpi.proc.null |
MPI Constants |
| mpi.quit |
Exit MPI Environment |
| mpi.realloc.comm |
Find and increase the lengths of MPI opaques comm, request, and status |
| mpi.realloc.request |
Find and increase the lengths of MPI opaques comm, request, and status |
| mpi.realloc.status |
Find and increase the lengths of MPI opaques comm, request, and status |
| mpi.recv |
MPI_Send, MPI_Isend, MPI_Recv, and MPI_Irecv APIs |
| mpi.recv.Robj |
Extensions of MPI_Send and MPI_Recv APIs |
| mpi.reduce |
MPI_Reduce and MPI_Allreduce APIs |
| mpi.remote.exec |
Remote Executions on R slaves |
| mpi.request.maxsize |
Find and increase the lengths of MPI opaques comm, request, and status |
| mpi.scatter |
MPI_Scatter and MPI_Scatterv APIs |
| mpi.scatter.Robj |
Extensions of MPI_ SCATTER and MPI_SCATTERV |
| mpi.scatter.Robj2slave |
Extensions of MPI_ SCATTER and MPI_SCATTERV |
| mpi.scatterv |
MPI_Scatter and MPI_Scatterv APIs |
| mpi.send |
MPI_Send, MPI_Isend, MPI_Recv, and MPI_Irecv APIs |
| mpi.send.Robj |
Extensions of MPI_Send and MPI_Recv APIs |
| mpi.sendrecv |
MPI_Sendrecv and MPI_Sendrecv_replace APIs |
| mpi.sendrecv.replace |
MPI_Sendrecv and MPI_Sendrecv_replace APIs |
| mpi.setup.rngstream |
Setup parallel RNG on all slaves |
| mpi.spawn.Rslaves |
Spawn and Close R Slaves |
| mpi.status.maxsize |
Find and increase the lengths of MPI opaques comm, request, and status |
| mpi.test |
Nonblocking completion operations |
| mpi.test.cancelled |
Nonblocking completion operations |
| mpi.testall |
Nonblocking completion operations |
| mpi.testany |
Nonblocking completion operations |
| mpi.testsome |
Nonblocking completion operations |
| mpi.universe.size |
MPI_Universe_size API |
| mpi.wait |
Nonblocking completion operations |
| mpi.waitall |
Nonblocking completion operations |
| mpi.waitany |
Nonblocking completion operations |
| mpi.waitsome |
Nonblocking completion operations |
| np.mpi.initialize |
Initialize Master and Slave Nodes for the np Package |
| 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.call |
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 |
| npcdensbw.NULL |
Kernel Conditional Density Bandwidth Selection with Mixed Data Types |
| npcdist |
Kernel Conditional Distribution Estimation with Mixed Data Types |
| npcdist.call |
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 |
| npcdistbw.NULL |
Kernel Conditional Distribution Bandwidth Selection with Mixed Data Types |
| npcmstest |
Kernel Consistent Model Specification Test with Mixed Data Types |
| npconmode |
Kernel Modal Regression with Mixed Data Types |
| npconmode.call |
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.call |
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.NULL |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| npindexbw.sibandwidth |
Semiparametric Single Index Model Parameter and Bandwidth Selection |
| 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 |
| npplot |
General Purpose Plotting of Nonparametric Objects |
| npplot.bandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.conbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.plbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.rbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.scbandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplot.sibandwidth |
General Purpose Plotting of Nonparametric Objects |
| npplreg |
Partially Linear Kernel Regression with Mixed Data Types |
| npplreg.call |
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.NULL |
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types |
| npplregbw.plbandwidth |
Partially Linear Kernel Regression Bandwidth Selection with Mixed Data Types |
| npqcmstest |
Kernel Consistent Quantile Regression Model Specification Test with Mixed Data Types |
| npqreg |
Kernel Quantile Regression with Mixed Data Types |
| npqreg.call |
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.call |
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.NULL |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregbw.rbandwidth |
Kernel Regression Bandwidth Selection with Mixed Data Types |
| npregiv |
Nonparametric Instrumental Regression |
| npregivderiv |
Nonparametric Instrumental Derivatives |
| npRmpi |
Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types |
| npRmpi.session.info |
Start/Stop Helpers for Interactive npRmpi Sessions |
| npRmpi.start |
Start/Stop Helpers for Interactive npRmpi Sessions |
| npRmpi.stop |
Start/Stop Helpers for Interactive npRmpi Sessions |
| npscoef |
Smooth Coefficient Kernel Regression |
| npscoef.call |
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.NULL |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npscoefbw.scbandwidth |
Smooth Coefficient Kernel Regression Bandwidth Selection |
| npsdeptest |
Kernel Consistent Serial Dependence Test for Univariate Nonlinear Processes |
| npseed |
Set Random Seed |
| npsigtest |
Kernel Regression Significance Test with Mixed Data Types |
| npsigtest.call |
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.call |
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 |
| npudensbw.NULL |
Kernel Density Bandwidth Selection with Mixed Data Types |
| npudist |
Kernel Distribution Estimation with Mixed Data Types |
| npudist.call |
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 |
| npudistbw.NULL |
Kernel Distribution Bandwidth Selection with Mixed Data Types |
| 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 |
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