Time Series and Econometric Modeling
Lead Time Series
Normalize Year-Period Array
Distance Between Two Year-Periods
Optimal control of a BIMETS model
Lag Time Series
A1D
Annual Time Series (Dis)Aggregation
Convert a Time Series to BIMETS
bimets :: Time Series And Econometric Modeling In R
BIMETS Global Options Configuration
BIMETS Internal Datasets
Cumulative Product
Quarterly (Dis)Aggregation
Cumulative Sum
Daily Time Series (Dis)Aggregation
Date to Year-Period Conversion
Eliminate Elements from Arrays or Time Series
Estimate a BIMETS model
Frequency of a Time Series
Convert BIMETS to TS
Convert BIMETS to XTS
Convert TS to XTS
Convert XTS to TS
Retrieve Dates of Time Series
Time Series Common Range
Get Time Series Year-Period
BIMETS Time Series Indexing
Rebase a Time Series
Create Range of Indices
Check the Compliance of a Time Series
Load time series data into a BIMETS model
Load a BIMETS model description file
Select Time Series Indices
BIMETS Model Description Language
Monthly Time Series (Dis)Aggregation
Moving Average
Moving Sum
Compute the multiplier matrix of a BIMETS model
Named List of Time Series
Count Elements
Endogenous targeting of a BIMETS model.
Semiannual (Dis)Aggregation
Simulation of a BIMETS model
Stochastic simulation of a BIMETS model
Print basic information about a BIMETS model
Print Time Series Data
Time Series Lag Differences (Delta)
Time Series Lag Logarithmic Differences
Time Series Percentage Lag Differences (Delta Percentage)
Create a Time Series
Extend Time Series
Get Time Series Info
Join Time Series
Lookup a Time Series
Merge Time Series
Project a Time series
Trim a Time Series
Time Series Magnitude Test
yearmon to Year-Period Conversion
yearqtr to Year-Period Conversion
Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, rational expectations, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
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