Improve the Coherence of Your Time Series Data
Function aliases
Generate a benchmarking graphic
Restore temporal constraints
Build the elements of balancing problems.
Build the elements of raking problems.
Build reconciliation processing groups
Moore-Penrose inverse
gseries: Improve the Coherence of Your Time Series Data
OSQP settings sequence data frame
Plot benchmarking adjustments
Generate benchmarking graphics in a PDF file
Convert reconciliation metadata
Stack benchmarks data
Stack time series data
Restore temporal constraints for stock series
Time values conversion functions
Convert a "ts" object to a benchmarks data frame
Convert a "ts" object to a time series data frame
Restore cross-sectional (contemporaneous) linear constraints
Reciprocal function of ts_to_tsDF()
Helper function for tsraking()
Restore cross-sectional (contemporaneous) aggregation constraints
Reciprocal function of stack_tsDF()
'R' version of 'G-Series', Statistics Canada's generalized system devoted to the benchmarking and reconciliation of time series data. The methods used in 'G-Series' essentially come from Dagum, E. B., and P. Cholette (2006) <doi:10.1007/0-387-35439-5>.
Useful links