crosspart_GLS: Calculate cross-partition statistics in a partitioned GLS

In morrowcj/remotePARTS: Spatiotemporal Autoregression Analyses for Large Data Sets

Calculate cross-partition statistics in a partitioned GLS

Description

Calculate cross-partition statistics between two GLS partitions

Usage

crosspart_GLS(
  xxi,
  xxj,
  xxi0,
  xxj0,
  invChol_i,
  invChol_j,
  Vsub,
  nug_i,
  nug_j,
  df1,
  df2,
  small = TRUE,
  ncores = NA
)

Arguments

xxi	numeric matrix xx from partition i
xxj	numeric matrix xx from partition j
xxi0	numeric matrix xx0 from partition i
xxj0	numeric matrix xx0 from partition j
invChol_i	numeric matrix invcholV from partition i
invChol_j	numeric matrix invcholV from partition j
Vsub	numeric variance matrix for Xij (upper block)
nug_i	nugget from partition i
nug_j	nugget from partition j
df1	first degree of freedom
df2	second degree of freedom
small	logical: if TRUE, only return rcoefij, rSSRij, and rSSEij
ncores	an optional integer indicating how many CPU threads to use for matrix calculations.

Value

crosspart_GLS returns a list of cross-partition statistics.

If small = FALSE, the list contains the following elements

Rij

Hi

Hj

Hi0

Hj0

SiR

SjR

rcoefij

rSSRij

rSSEij

Vcoefij

If small = FALSE, the list only contains the necessary elements rcoefij, rSSRij, and rSSEij.

See Also

Other partitionedGLS: MC_GLSpart(), sample_partitions()

morrowcj/remotePARTS documentation built on Sept. 17, 2023, 5:42 p.m.