Improve the Coherence of Your Time Series Data


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Documentation for package ‘gseries’ version 3.0.2

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adj_plot Generate a benchmarking graphic
alternate_osqp_sequence OSQP settings sequence data frame
benchmarking Restore temporal constraints
bench_graphs Generate a benchmarking graphic
build_balancing_problem Build the elements of balancing problems.
build_raking_problem Build the elements of raking problems.
default_osqp_sequence OSQP settings sequence data frame
GR_plot Generate a benchmarking graphic
GR_table Generate a benchmarking graphic
gs.build_proc_grps Build reconciliation processing groups
gs.gInv_MP Moore-Penrose inverse
gs.time2per Time values conversion functions
gs.time2str Time values conversion functions
gs.time2year Time values conversion functions
ori_plot Generate a benchmarking graphic
osqp_settings_sequence OSQP settings sequence data frame
plot_benchAdj Plot benchmarking adjustments
plot_graphTable Generate benchmarking graphics in a PDF file
rkMeta_to_blSpecs Convert reconciliation metadata
stack_bmkDF Stack benchmarks data
stack_tsDF Stack time series data
stock_benchmarking Restore temporal constraints for stock series
time_values_conv Time values conversion functions
tsbalancing Restore cross-sectional (contemporaneous) linear constraints
tsDF_to_ts Reciprocal function of 'ts_to_tsDF()'
tsraking Restore cross-sectional (contemporaneous) aggregation constraints
tsraking_driver Helper function for 'tsraking()'
ts_to_bmkDF Convert a "ts" object to a benchmarks data frame
ts_to_tsDF Convert a "ts" object to a time series data frame
unstack_tsDF Reciprocal function of 'stack_tsDF()'