Publication date: 08/13/2020

The column names used in the model formula are automatically inserted in the Name column of the Factors outline. Each factor’s role is set to Continuous.

For each factor, the Values are initially set to -1 and 1. Or, if you have defined a value using the Coding column property, those values are used instead. You can change these values in the factors outline.

The parameter names used in the model formula are automatically inserted in the Name column of the Parameters outline.

For each parameter, the Values are initially set to a symmetric interval around the initial value specified in the parameter definition. This interval is obtained by taking the initial value’s distance to 0, and constructing an interval of this width around the initial value. These values are used in defining prior distributions for the model parameters.

Note: Adjust the Values for the parameters in conjunction with your choice of distribution to reflect your uncertainty about the model parameters.

Four families of prior distributions are listed under Distribution. The Values that you specify for the parameters determine which member of the family of prior distributions that is used. Denote the low value by low and the high value by high. Then the distributions are determined as follows:

• Uniform: The distribution is uniform on the interval (low, high).

• Normal, Lognormal, Exponential: The distribution is the one where low is the 0.025 quantile and where high is the 0.975 quantile.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).

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