Time Series and Panel Series

Description

collapse provides the following functions to work with time-dependent data:

• flag, and the lag- and lead- operators L and F are S3 generics to efficiently compute sequences of lags and leads on ordered or unordered regular / balanced or irregular / unbalanced time series and panel data.

• Similarly, fdiff, fgrowth, and the operators D, Dlog and G are S3 generics to efficiently compute sequences of suitably lagged / leaded and iterated differences, log-differences and growth rates. fdiff/D/Dlog can also compute quasi-differences of the form x_t - ρ x_{t-1} or log(x_t) - ρ log(x_{t-1}) for log-differences.

• fcumsum is an S3 generic to efficiently compute cumulative sums on time series and panel data. In contrast to cumsum, it can handle missing values and supports both grouped and ordered computations.

• psmat is an S3 generic to efficiently convert panel-vectors or plm::pseries and data frames or plm::pdata.frame's to panel series matrices and 3D arrays, respectively.

• psacf, pspacf and psccf are S3 generics to compute estimates of the auto-, partial auto- and cross- correlation or covariance functions for panel-vectors or plm::pseries, and multivariate versions for data frames or plm::pdata.frame's.

Table of Functions

See Also

Collapse Overview, Data Transformations