gemact v.0.2.1

__init__.py

@@ -1,7 +1,7 @@
-__version__ = "0.1.4"
+__version__ = "0.2.1"
 __doc__ = """GEMAct is an **actuarial package**, 
 based on the collective risk theory framework, 
-that offers actuarial scientists and practitioners a comprehensive set of tools for 
+that offers actuarial scientists a comprehensive set of tools for 
 **non-life** (re)insurance **pricing**, stochastic **claims reserving**, 
 **risk aggregation** and extends the set of probability distributions already available in Python. \n
 The broad and flexible GEMAct apparatus fits into the expanding community of **Python** programming language. \n

lossmodel.py

@@ -1,4 +1,4 @@
-from libraries import *
+from .libraries import *
 from . import config
 from . import helperfunctions as hf
 
@@ -371,10 +371,8 @@ class LossModel(_Severity, _Frequency):
                                   One of Fast Fourier Transform ('fft'),
                                   Panjer recursion ('recursion') and Monte Carlo simulation ('mc').
     :type aggr_loss_dist_method: ``str``
-    :param aggr_n_deductible: number of deductible (default = 1) in the stop loss (aggregate) deductible, also referred
-                              to as priority or retention.
-                              Namely, ``aggr_n_deductible * deductible`` =  aggregate priority.
-    :type aggr_n_deductible: ``int``
+    :param aggr_deductible: aggregate deductible, also referred to as aggregate priority or retention.
+    :type aggr_deductible: ``float``
     :param n_reinst: number of reinstatements layers.
                      Alternative parametrization to aggregate cover (a.k.a. aggregate limit),
                      namely aggregate cover = (number of reinstatement +1) * cover.