| Version 3.0 (R2006a) Financial Toolbox™ Software Release Notes | |
This table summarizes new features in Version 3.0 (R2006a).
| New Features and Changes | Version Compatibility Considerations | Fixed Bugs and Known Problems | Related Documentation at Web Site |
|---|---|---|---|
| Yes Details below | No | No |
New features and changes introduced in this version are:
As of this release the functionality previously available in Financial Time Series Toolbox has been incorporated into Financial Toolbox™ software. Financial Toolbox documentation has been modified to include the documentation previously available in the Financial Time Series User's Guide.
Because use of Financial Time Series Toolbox required the purchase and installation of Financial Toolbox software, all customers previously licensed for Financial Time Series Toolbox will continue to have access to it.
The suite of time series frequency conversion functions (todaily, toweekly, tomonthly, tosemi, and toannual) has been extensively modified. Consult the function references in the Financial Toolbox User's Guide for specifics.
Continous compounding is no longer available for pyld2zero. Compounding for this function is now consistent with compounding for the function zero2pyld. An error message is generated if you attempt to use continuous compounding with these functions.
The new functions in Version 3.0 of Financial Toolbox software fall into these four categories:
Multivariate Normal Regression With Missing Data (Expectation Conditional Maximization)
Least Squares Regression With Missing Data (Expectation Conditional Maximization)
| mvnrfish | Fisher information matrix for multivariate normal or least-squares regression |
| mvnrmle | Multivariate normal regression (ignore missing data) |
| mvnrobj | Log-likelihood function for multivariate normal regression without missing data |
| mvnrstd | Evaluate standard errors for multivariate normal regression model |
| ecmmvnrfish | Fisher information matrix for multivariate normal regression model |
| ecmmvnrmle | Multivariate normal regression with missing data |
| ecmmvnrobj | Log-likelihood function for multivariate normal regression with missing data |
| ecmmvnrstd | Evaluate standard errors for multivariate normal regression model |
| ecmlsrmle | Least-squares regression with missing data |
| ecmlsrobj | Log-likelihood function for least-squares regression with missing data |
| convert2sur | Convert a multivariate normal regression model into a seemingly unrelated regression model |
| Version 3.1 (R2006b) Financial Toolbox™ Software | Version 2.5 (R14SP3) Financial Toolbox™ Software | |
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