CB.GetFitParm

This function returns the value of the specified distribution parameter for the last CB.Fit.

Table 114. CB.GetFitParm Returned Data Type

Returned Value	Returned Data Type
The distribution parameter for the last CB.Fit, as specified by Index	Variant

Note:

Before calling this function, call CB.Fit, or the function returns 0.

CB.GetFitParm has one parameter, Index, an integer. The Index parameter specifies which distribution parameter value to return. Its has only four values: 1, 2, 3, and 4. The following table shows which values are returned for each distribution.

Table 115. CB.GetFitParm Index Parameter Values — Required, Integer

Last Distribution	Index = 1 returns...	Index = 2 returns...	Index = 3 returns...	Index = 4 returns...
Normal	mean	standard deviation	n/a	n/a
Triangular	minimum	likeliest	maximum	n/a
Lognormal	mean	standard deviation	location	n/a
Uniform	minimum	maximum	n/a	n/a
Exponential	rate	n/a	n/a	n/a
Weibull	location	scale	shape	n/a
Beta	alpha	beta	maximum	minimum
Gamma	location	scale	shape	n/a
Logistic	mean	scale	n/a	n/a
Pareto	location	shape	n/a	n/a
Extreme value	likeliest	scale	max (True) or min (False)	n/a
Minimum extreme value	likeliest	scale	n/a	n/a
Maximum extreme value	likeliest	scale	n/a	n/a
Student’s t	midpoint	scale	degrees of freedom	n/a
BetaPERT	minimum	likeliest	maximum	n/a

Note:

The parameters for beta have changed since Crystal Ball 2000.x (5.x). There are now four parameters. Extreme value is deprecated. It is included for Crystal Ball 2000.5 (5.5) compatibility and is replaced by cbDfaMinExtreme and cbDfaMaxExtreme in later versions of Crystal Ball. Beginning with version 11.1.1.0.00, the lognormal distribution has three parameters instead of two. If this call is used in a model that was created in an earlier version of Crystal Ball, the third parameter has a value of 0.