R: Spatiotemporal Autoregression Analyses for Large Data Sets

# Spatiotemporal Autoregression Analyses for Large Data Sets

## Documentation for package ‘remotePARTS’ version 1.0.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

AR_fun | AR regressions by REML
calc_dfpart | calculate degrees of freedom for partitioned GLS
check_posdef | Check if a matrix is positive definite
chisqr | Conduct a chi-squared test
chisqr.partGLS | Conduct a chisqr test of "partGLS" object
covar_exp | Tapered-spherical distance-based covariance function
covar_exppow | Tapered-spherical distance-based covariance function
covar_taper | Tapered-spherical distance-based covariance function
crosspart_GLS | Calculate cross-partition statistics in a partitioned GLS
distm_km | Calculate a distance matrix from coordinates
distm_scaled | Calculate a distance matrix from coordinates
fitAR | AR regressions by REML
fitAR_map | Map-level AR REML
fitCLS | CLS for time series
fitCLS_map | Map-level CLS for time series
fitCor | Estimate spatial parameters from time series residuals
fitGLS | Fit a PARTS GLS model.
fitGLS_opt | Fit a PARTS GLS model, with maximum likelihood spatial parameters
fitGLS_opt_FUN | Function that fitGLS_opt optimizes over
fitGLS_partition | fit a parallel partitioned GLS
invert_chol | Invert the cholesky decomposition of V
max_dist | calculate maximum distance among a table of coordinates
MCGLS_partsummary | fit a parallel partitioned GLS
MC_GLSpart | fit a parallel partitioned GLS
multicore_fitGLS_partition | fit a parallel partitioned GLS
ndvi_AK10000 | NDVI remote sensing data for 10,000 random pixels from Alaska, with rare land classes removed.
optimize_nugget | Find the maximum likelihood estimate of the nugget
partGLS_ndviAK | partitioned GLS results
part_chisqr | Chisqr test for partitioned GLS
part_csv | fit a parallel partitioned GLS
part_data | fit a parallel partitioned GLS
part_ttest | Correlated t-test for paritioned GLS
print.mapTS | S3 print method for remoteTS class
print.partGLS | S3 print method for "partGLS" objects
print.remoteCor | S3 print method for "remoteCor" class
print.remoteGLS | print method for remoteGLS
print.remoteTS | S3 print method for remoteTS class
remoteGLS | remoteGLS constructor (S3)
sample_partitions | Randomly sample a partition matrix for partitioned GLS
smry_funM | S3 print method for remoteTS class
smry_funV | S3 print method for remoteTS class
summary.mapTS | S3 print method for remoteTS class
summary.remoteTS | S3 print method for remoteTS class
t.test.partGLS | Conduct a t-test of "partGLS" object
test_covar_fun | Test passing a covariance function and arguments