- Fixed bug on wincrqa() and windowdrp() to run windowed RQA on multidimensional data.
- Simplified output of wincrqa() now returning a dataframe
- Included new import from FSA() package to use diags() function.

Extension of recurrence analysis to multidimensional time-series data, and significant update of computational procedures in

`crqa()`

- Added arguments:
`method`

,`metric`

and`datatype`

- Improved method for phase-space reconstruction (line 207:237)
- Included computation of categorical entropy (line 411:420)
- Removal of argument
`checkl`

- Added arguments:
Simplified structure of functions and better division between core and ancillary functions:

`crqa_helpers`

contains several functions previously exported (e.g.,`theiler`

or`tt`

) that are now only accessed internally by the`crqa()`

package.

New functions

`mdDelay()`

and`mdFnn()`

to estimate Average Mutual Information and False Nearest Neighbours of multidimensional time-series.Experimental

`piecewiseRQA()`

function created to better handle the computational load of large time-series.`optimizeParam()`

now works also with multidimensional time-series.

Deprecated functions:

`CTcrqa()`

,`runcrqa()`

,`calcphi()`

,`takephi()`

On

`crqa()`

- improved error checking and warning messages (line 133:170)
- added two more ways of rescaling the distance matrix (line 252:272)

On

`plotRP()`

added arguments to improve the plotting of Recurrence Plots`drpdfromts()`

is now called`drpfromts()`

and it has been rewritten to align with the new version of`crqa()`

.A convenience function called

`numerify`

in`crqa_helpers`

is automatically called when a user inputs categorical series (i.e., it contains either characters or factors) and this function is used to recode the levels of such time-series into numerical codes (to run crqa). A warning is send to the user when`crqa()`

.`windowdrp()`

has been rewritten to align with the new version of`crqa()`

.`wincrqa()`

has been rewritten to align with the new version of`crqa()`

and better names for the output were provided.

- On
`drpdfromts()`

removed a left over constant used for testing (line: 42)

- On
`drpdfromts()`

fixed initialisation of dimensions for empty RP (line: 52)

`plotRP()`

convenience function based on the standard`plot()`

to visualize a Recurrence Plot

On

`crqa()`

added a few more checks (`stop`

) if the data inputted did not comply with the function, and send a warning message.`drpdfromts()`

entirely rewritten around`crqa()`

to better deal with continuous valued time-series.`runcrqa()`

fixed to fit with the revised functions:`drpdfromts()`

and`windowdrp()`

,`tt()`

fixed`rBind`

(line 23 and 91) which was deprecated from the`Matrix()`

package.`windowdrp()`

entirely rewritten around the new version of`drpdfromts()`

`wincrqa()`

adjusted indexing of windows (line: 40:41)

`ami()`

externalised from`optimizeParam()`

`lorenzattractor()`

simulates and plots 3D data from a Lorenz Attractor

On

`crqa()`

include a`stop`

(line: 95:100) if time-series were shorter than their phase space reconstructed portaitsOn

`optimizeParam()`

included argument`typeami`

to set the type of`ami()`

desired (either, minimum dip or maximum lag)

On

`checkts()`

. added argument`pad`

(line: 38:67), which gives the option, in case of series of different length to extend the shortest sequence either with mean value (if the variable is in a continuous scale) or with a random label not present in either series (if the variable is categorical).On

`crqa()`

:- Added default values for arguments in the call of the function.
- Included the argument
`side`

to select the region of the Recurrence Plot to extract measures on - Included the argument
`checkl`

, a wrapper to call the function`checkts()`

directly inside this function.

On

`optimizeParam()`

:- Added arguments
`min.rec`

and`max.rec`

to the call. - Added argument within
`par`

(`fnnpercent`

) to estimate False Nearest Neighbours based on a percentage reduction with respect to first dimension (line: 199:241) - Simplified code throughout and markedly improved the estimation of the radius (line: 299:360)

- Added arguments
On

`runcrqa()`

included argument`pad`

in the call to work with the revised version of`checkts()`

On

`wincrqa()`

added calculation of TREND (line: 64:87)

- crqa 1.0.3 did not pass CRAN check because of
`DESCRIPTION`

(`Depends`

field) and was resubmitted as 1.0.4.

- Added
`theiler()`

function to choose the separation between values on the time series when specifying a delay reconstruction vector, i.e., the Theiler window.

On

`crqa()`

added theiler window (`theiler()`

, line: 170:175)On

`optimizeParam()`

improved calculation of average mutual information (line 56:119), and added estimation of radius within user specified expected recurrence values (line 237:284)On

`runcrqa()`

added missing arguments when calling`wincrqa()`

(line 104-110:112)On

`tt()`

simplified calculation of laminarity (line 65)On

`wincrqa()`

added missing arguments in the function call to exploit better functionality in`crqa()`

- On
`tt()`

added in line comments as header of function.

- On
`crqa()`

: Implementation of embedding dimensions and phase space recostruction, added in line comments in the code.

First version of the package featuring the following original functions:

`calcphi`

`checkts`

`crqa`

`CTcrqa`

`drpdfromts`

`optimizeParam`

`runcrqa`

`simts`

`spdiags`

`takephi`

`tt`

`wincrqa`

`windowdrp`