calculate_bayesian_prior
Solve probability equations to convert 95% confidence intervals into Meridian LogNormal (mu, sigma) prior parameters for Bayesian marketing mix models.
Instructions
Solves probability equations to convert 95% CIs into Meridian LogNormal (mu, sigma) prior parameters.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"point_estimate": "<point_estimate>",
"ci_lower": "<ci_lower>",
"ci_upper": "<ci_upper>"
},
"name": "calculate_bayesian_prior"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ci_lower | Yes | Lower bound of 95% Confidence Interval (e.g. 1.2) | |
| ci_upper | Yes | Upper bound of 95% Confidence Interval (e.g. 2.8) | |
| point_estimate | Yes | Point estimate ROI or multiplier (e.g. 2.0) | |
| experiment_type | No | Type of experiment ('geo_lift', 'conversion_lift', 'holdout') | geo_lift |