Reference

All functions
add.distance()	Add distance information to resampling objects
as.represampling() print(<represampling>) is_represampling()	Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples
as.resampling() validate.resampling() is.resampling() print(<resampling>)	Resampling objects such as partitionings or bootstrap samples
as.tilename() as.character(<tilename>) as.numeric(<tilename>) print(<tilename>)	Alphanumeric tile names
dataset_distance()	Calculate mean nearest-neighbour distance between point datasets
err_default()	Default error function
get_small_tiles()	Identify small partitions that need to be fixed.
partition_cv()	Partition the data for a (non-spatial) cross-validation
partition_cv_strat()	Partition the data for a stratified (non-spatial) cross-validation
partition_disc() partition_loo()	Leave-one-disc-out cross-validation and leave-one-out cross-validation
partition_factor()	Partition the data for a (non-spatial) leave-one-factor-out cross-validation based on a given, fixed partitioning
partition_factor_cv()	Partition the data for a (non-spatial) k-fold cross-validation at the group level
partition_kmeans()	Partition samples spatially using k-means clustering of the coordinates
partition_tiles()	Partition the study area into rectangular tiles
plot(<represampling>) plot(<resampling>)	Plot spatial resampling objects
represampling_bootstrap()	Non-spatial bootstrap resampling
represampling_disc_bootstrap()	Overlapping spatial block bootstrap using circular blocks
represampling_factor_bootstrap()	Bootstrap at an aggregated level
represampling_tile_bootstrap()	Spatial block bootstrap using rectangular blocks
resample_factor()	Draw uniform random (sub)sample at the group level
resample_strat_uniform()	Draw stratified random sample
resample_uniform()	Draw uniform random (sub)sample
sperrorest-package	Spatial Error Estimation and Variable Importance
sperrorest()	Perform spatial error estimation and variable importance assessment
summary(<represampling>) summary(<resampling>)	title Summary statistics for a resampling objects
summary(<sperrorestreperror>) summary(<sperrorest>) print(<sperrorestimportance>) print(<sperroresterror>) print(<sperrorestreperror>) print(<sperrorest>) print(<sperrorestbenchmarks>) print(<sperrorestpackageversion>)	Summary and print methods for sperrorest results
summary(<sperroresterror>)	Summarize error statistics obtained by sperrorest
summary(<sperrorestimportance>)	Summarize variable importance statistics obtained by sperrorest
tile_neighbors()	Determine the names of neighbouring tiles in a rectangular pattern