sperrorest-package |
Spatial Error Estimation and Variable Importance |
add.distance |
Add distance information to resampling objects |
add.distance.represampling |
Add distance information to resampling objects |
add.distance.resampling |
Add distance information to resampling objects |
as.character.tilename |
Alphanumeric tile names |
as.numeric.tilename |
Alphanumeric tile names |
as.represampling |
Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples |
as.represampling.list |
Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples |
as.represampling_list |
Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples |
as.resampling |
Resampling objects such as partitionings or bootstrap samples |
as.resampling.default |
Resampling objects such as partitionings or bootstrap samples |
as.resampling.factor |
Resampling objects such as partitionings or bootstrap samples |
as.resampling.list |
Resampling objects such as partitionings or bootstrap samples |
as.resampling_default |
Resampling objects such as partitionings or bootstrap samples |
as.resampling_list |
Resampling objects such as partitionings or bootstrap samples |
as.tilename |
Alphanumeric tile names |
as.tilename.character |
Alphanumeric tile names |
as.tilename.numeric |
Alphanumeric tile names |
as.tilename_character |
Alphanumeric tile names |
as.tilename_numeric |
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. |
is.resampling |
Resampling objects such as partitionings or bootstrap samples |
is_represampling |
Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples |
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 |
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_loo |
Leave-one-disc-out cross-validation and leave-one-out cross-validation |
partition_tiles |
Partition the study area into rectangular tiles |
plot.represampling |
Plot spatial resampling objects |
plot.resampling |
Plot spatial resampling objects |
print.represampling |
Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples |
print.resampling |
Resampling objects such as partitionings or bootstrap samples |
print.sperrorest |
Summary and print methods for sperrorest results |
print.sperrorestbenchmarks |
Summary and print methods for sperrorest results |
print.sperroresterror |
Summary and print methods for sperrorest results |
print.sperrorestimportance |
Summary and print methods for sperrorest results |
print.sperrorestpackageversion |
Summary and print methods for sperrorest results |
print.sperrorestreperror |
Summary and print methods for sperrorest results |
print.tilename |
Alphanumeric tile names |
represampling |
Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples |
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 |
resampling |
Resampling objects such as partitionings or bootstrap samples |
sperrorest |
Perform spatial error estimation and variable importance assessment |
summary.represampling |
title Summary statistics for a resampling objects |
summary.resampling |
title Summary statistics for a resampling objects |
summary.sperrorest |
Summary and print methods for sperrorest results |
summary.sperroresterror |
Summarize error statistics obtained by sperrorest |
summary.sperrorestimportance |
Summarize variable importance statistics obtained by sperrorest |
summary.sperrorestreperror |
Summary and print methods for sperrorest results |
tilename |
Alphanumeric tile names |
tile_neighbors |
Determine the names of neighbouring tiles in a rectangular pattern |
validate.resampling |
Resampling objects such as partitionings or bootstrap samples |