Statistics package: Difference between revisions

Statistics package (edit)

296 bytes added , 5 February 2023

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 Functions available for computing design matrices.
-<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
+{| class="wikitable"
-* <code>fullfact</code>
+! Function
-* <code>ff2n</code>
+! Description
-* <code>sigma_pts</code>
+|-
-* <code>x2fx</code>
+| fullfact
-</div>
+| Full factorial design.
+|-
+| ff2n
+| Two-level full factorial design.
+|-
+| sigma_pts
+| Calculates 2*N+1 sigma points in N dimensions.
+|-
+| x2fx
+| Convert predictors to design matrix.
+|}
 == Model Fitting ==
@@ Line 516: / Line 526: @@
 Functions available for fitting or evaluating statistical models.
-<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
+{| class="wikitable"
-* <code>crossval</code>
+! Function
-* <code>fitgmdist</code>
+! Description
-* <code>fitlm</code>
+|-
-</div>
+| crossval
+| Perform cross validation on given data.
+|-
+| fitgmdist
+| Fit a Gaussian mixture model with K components to DATA.
+|-
+| fitlm
+| Regress the continuous outcome (i.e.  dependent variable) Y on continuous or categorical predictors (i.e.  independent variables) X by minimizing the sum-of-squared residuals.
+|}
 === Cross Validation ===