Difference between revisions of "Analytica Docs"
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[[Category: Analytica Docs]] | [[Category: Analytica Docs]] | ||
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+ | <big>'''About'''</big><br /> | ||
[[What are these Analytica docs?]]<br /> | [[What are these Analytica docs?]]<br /> | ||
[[Open these docs from Analytica]]<br /> | [[Open these docs from Analytica]]<br /> | ||
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[[Edit and improve these docs]]<br /> | [[Edit and improve these docs]]<br /> | ||
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− | <big>''' | + | <big>'''Analytica'''</big><br /> |
− | [ | + | [[What's new|What's new in the latest release?]]<br /> |
− | [ | + | [[What's new in ACP?]]<br /> |
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[[Editions of Analytica|Compare editions]]<br /> | [[Editions of Analytica|Compare editions]]<br /> | ||
− | [ | + | [https://analytica.com/products/free/ Download Analytica Free Edition]<br /> |
− | + | [https://analytica.com/analytica-downloads/ Download Analytica and ADE]<br /> | |
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− | + | <big>'''Getting Started'''</big><br /> | |
− | + | [[Analytica Tutorial|Tutorial]]<br /> | |
− | + | [[Building Effective Models]]<br /> | |
− | + | [[Creating Lucid Influence Diagrams]]<br /> | |
− | + | [[Indexes and arrays: An introduction|Intro to Indexes and Arrays]]<br /> | |
− | [ | + | [[Example Models and Libraries]]<br /> |
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− | <br />[[Creating Lucid Influence Diagrams]] | ||
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− | [[Indexes and arrays: An introduction| | ||
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− | < | + | ! colspan="2"| Featured pages |
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− | <br />[[ | + | |rowspan="3" style="width: 50%;vertical-align:top;"| <big>[[OpenAI API library]]</big> <br /> |
+ | The Open AI API library is a collection of Analytica functions that interface with generative A.I. models from within your Analytica model. You can leverage the flexibility of large language models (LLMs) to perform tasks that would be hard to do in a formal program or model, and you can generate images from text. The library is also a great way to learn about generative A.I. from within Analytica. ([[OpenAI API library|Full article...]]) | ||
− | + | |[[Database library]]: A library of functions to make it easy to create, read, update, examine and delete database tables, without having to write SQL. | |
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− | + | |[[Color Themes Library]]: Use the Color Themes Library to quickly update your diagram and graph styles with some new and updated preset themes! | |
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− | + | |[[Weibull estimation library]]: This library includes functions for estimating Weibull distributions for lifespan or time to failure from data, and to obtain mean, median, and variance, and percentiles of a Weibull from its shape (k) and scale (lamda) parameters (and vice versa). | |
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Latest revision as of 23:59, 5 June 2024
Featured pages | |
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OpenAI API library The Open AI API library is a collection of Analytica functions that interface with generative A.I. models from within your Analytica model. You can leverage the flexibility of large language models (LLMs) to perform tasks that would be hard to do in a formal program or model, and you can generate images from text. The library is also a great way to learn about generative A.I. from within Analytica. (Full article...) |
Database library: A library of functions to make it easy to create, read, update, examine and delete database tables, without having to write SQL. |
Color Themes Library: Use the Color Themes Library to quickly update your diagram and graph styles with some new and updated preset themes! | |
Weibull estimation library: This library includes functions for estimating Weibull distributions for lifespan or time to failure from data, and to obtain mean, median, and variance, and percentiles of a Weibull from its shape (k) and scale (lamda) parameters (and vice versa). |