# Persalys 14.1 release

## 25/07/2023

The new version of Persalys 14.1 is now available. For this new release, a number of improvements have been made to existing functionalities in several parts of the software.

**Physical and probabilistic model**

- Definition of the probabilistic model: the
**Normal copula**can now be parameterized via the Pearson matrix or the shape matrix. - Definition of the probabilistic model: you can now defined your user defined distribution using an imported file containing the points and their weights (optional).
- Data model : when inferring 1D laws from data, an option for calculating the
**confidence interval**of parameters has been added. In addition, it is now possible to choose the**Lilliefors test**instead of the Kolmogorov-Smirnov test to validate the adequacy of the sample to the distribution. - Coupling model : in the advanced parameters, you can define a list of
**environment variables**to be used when executing the command.

**Design of experiments**

- The management of
**failed points**in DOE has been improved. There is now a table containing the**error message**returned by the evaluation, allowing a better understanding of what led to a failed point. - If you choose to import a design of experiments, you can now
**import a table containing inputs and outputs**. This capability is particularly useful if you wish to perform the evaluation outside Persalys: to do this, simply create the design of experiments, then export it without performing the evaluation, then create a new design of experiments by importing a file containing the inputs and outputs evaluated outside the interface.

**Probabilistic analysis**

- Central tendency analysis: the
**confidence interval**on the mean estimate can be used as a**stopping criterion**for the algorithm. This is particularly useful when the mean is close to 0. - Calibration: the
**quantile-quantile**(QQ) plot comparing the residuals to a Gaussian distribution has been added.

**Ergonomics**

- table of values:
**partial copy and paste**is enabled! You can choose which rows to copy by selecting them one by one with ctrl+left-click, or select a group of rows with shift+left-click. Then simply right-click and copy, or use the classic keyboard shortcuts: ctrl+C to copy, then ctrl+V to paste. The table header is also copied. - PDF or CDF graph: in several methods, it is possible to display the probability density function (PDF) or the cumulative density function (CDF) of a variable. The
**survival function**is also now available.