|
Class Summary |
| BinaryLogisticRegression |
Implementation of Binary Logistic Regression using iteratively-reweigthed
least squares algorithm. |
| CrossValidation |
Carries out the desired cross-validation technique on the regression data |
| DataMiner |
Takes in a set of dependenent and independent variables and generates a model to fit the data |
| DataReducer.DataReducerInformation |
Contains information about the implementation of the DataReducer class that can be used to determine the classes abilities at run-time. |
| DifferenceOfAverages |
Technically similar to a linear regressor, DifferenceOfAverages describes a
function as a line connecting two points Distances along the line a scaled
such that point 1 is considered to be the 0.0 point and point 2 the 1.0 point |
| Functions |
A set of static statistical funtcions |
| ICA |
Independent Component Analysis |
| ImagePLS |
Implements an iterative version of PLS based on the method by Milidi and Reteria,
"DPLS and PPLS: two PLS algorithms got large data sets." Computation Statisitics and Data Analysis vol.48 pp125-138 (2005) |
| ImageRegressor |
|
| Initialise |
Initialise the Stats pluggin |
| Model |
Loads, processes and regresses two sets of data. |
| ModelInformation |
Basic information about a statistical model |
| ModelResults |
A system for querying a model to get details of it's components
As most models are linear, consisting of a either matrix multiplication, or multiplication by a vector of weights the output is a list of named vectors |
| NumericRegressor |
|
| OvercompleteSPLS |
|
| PCAReducer |
Basically a wrapper for the PCA class of BPT |
| PLSReducer |
|
| RegressionForm |
|
| RegressionForm_1 |
|
| sPLSSVD |
From 'A Sparse PLS for Variable Selection when Integrating Omics data' Le Cao Rossouw Robet-Granie Besse |
| sPLSSVD_DWH |
A version of Le Cao's algorithm modified to be sparse on the patches not on patch |
| WaveletPLS |
|
| WaveletRGBPLS |
|
| WeightedPLS |
|
| WeightedPLS2 |
|