We aim to deal with data with measurement error in the response and misclassification censoring status under an AFT model. This package primarily contains three functions, which are used to generate artificial data, correction for error-prone data and estimate the functional covariates for an AFT model.

Dilate, permute, project, reflect, rotate, shear, and translate 2D and 3D points.  Supports parallel projections including oblique projections such as the cabinet projection as well as axonometric projections such as the isometric projection.  Use 'grid's "affine transformation" feature to render illustrated flat surfaces.

Tools for raster georeferencing, grid affine transforms, and general raster logic. 
 These functions provide converters between raster specifications, world vector, geotransform, 
 'RasterIO' window, and 'RasterIO window' in 'sf' package list format. There are functions to offset
 a matrix by padding any of four corners (useful for vectorizing neighbourhood operations), and
 helper functions to harvesting user clicks on a graphics device to use for simple georeferencing
 of images.  Methods used are available from <https://en.wikipedia.org/wiki/World_file> and
 <https://gdal.org/user/raster_data_model.html>.

Tools to study sorting patterns in matching markets and to estimate the affinity matrix of both the bipartite one-to-one matching model without frictions and with Transferable Utility by 'Dupuy' and 'Galichon' (2014) <doi:10.1086/677191> and its 'unipartite' variant by 'Ciscato', 'Galichon' and 'Gousse' (2020) <doi:10.1086/704611>. It also contains all the necessary tools to implement the 'saliency' analysis, to run rank tests of the affinity matrix and to build tables and plots summarizing the findings.

Enables to compute the statistical indices of affluence (richness) with bootstrap errors, and inequality and polarization indices. Moreover, gives the possibility of calculation of affluence line. Some simple errors are fixed and it works with new version of Spatial Statistics packaged.