| vsn-package | vsn |
| class:vsn | Class to contain result of a vsn fit |
| class:vsnInput | Class to contain input data and parameters for vsn functions |
| coef-method | Class to contain result of a vsn fit |
| coefficients-method | Class to contain result of a vsn fit |
| coerce-method | Fit the vsn model |
| dim-method | Class to contain result of a vsn fit |
| dim-method | Class to contain input data and parameters for vsn functions |
| exprs-method | Class to contain result of a vsn fit |
| justvsn | Wrapper functions for vsn |
| kidney | Intensity data for one cDNA slide with two adjacent tissue samples from a nephrectomy (kidney) |
| logLik-method | Calculate the log likelihood and its gradient for the vsn model |
| logLik-methods | Calculate the log likelihood and its gradient for the vsn model |
| lymphoma | Intensity data for 8 cDNA slides with CLL and DLBL samples from the Alizadeh et al. paper in Nature 2000 |
| meanSdPlot | Plot row standard deviations versus row means |
| meanSdPlot-method | Plot row standard deviations versus row means |
| meanSdPlot-methods | Plot row standard deviations versus row means |
| ncol-method | Class to contain result of a vsn fit |
| ncol-method | Class to contain input data and parameters for vsn functions |
| normalize.AffyBatch.vsn | Wrapper for vsn to be used as a normalization method with expresso |
| nrow-method | Class to contain result of a vsn fit |
| nrow-method | Class to contain input data and parameters for vsn functions |
| plotVsnLogLik | Calculate the log likelihood and its gradient for the vsn model |
| predict-method | Apply the vsn transformation to data |
| sagmbAssess | Simulate data and assess vsn's parameter estimation |
| sagmbSimulateData | Simulate data and assess vsn's parameter estimation |
| scalingFactorTransformation | The transformation that is applied to the scaling parameter of the vsn model |
| show-method | Class to contain result of a vsn fit |
| show-method | Class to contain input data and parameters for vsn functions |
| vsn-class | Class to contain result of a vsn fit |
| vsn2 | Fit the vsn model |
| vsn2-method | Fit the vsn model |
| vsn2-methods | Fit the vsn model |
| vsnInput | Class to contain input data and parameters for vsn functions |
| vsnInput-class | Class to contain input data and parameters for vsn functions |
| vsnMatrix | Fit the vsn model |
| vsnrma | Wrapper functions for vsn |
| [-method | Class to contain result of a vsn fit |
| [-method | Class to contain input data and parameters for vsn functions |