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2024/5/3 -ExploreModelMatrix is an R package for visualizing design matrices generated by the model.matrix(). R function. Provided with a sample data table and a ...

2024/5/14 -A matrix including point estimate and confidence limits of the breakpoint(s) for the segmented variable possibly specified in parm. Note. Currently method=" ...

2024/5/9 -This approach works for designs with or without an intercept. This approach involves three steps: Getting the model matrix; Subsetting the matrix for each group ...

2024/5/3 -Learn how to perform matrix multiplication in R with this step-by-step guide. Perfect for beginners eager to master R programming for statistical analysis.

2024/5/2 -Think of the view matrix as a model matrix that does the inverse of rotation and translation of where the camera is. It's really that simple. If you rotate ...

2024/5/15 -A list containing coefficients, standard errors, rank of model matrix, degree of freedom of residuals, residuals, the standard deviation of random errors and ...

2024/5/15 -Model constructors. The LinearMixedModel type represents a linear mixed-effects model. Typically it is constructed from a Formula and an appropriate Table ...

2024/5/13 -Description Companion R package for the course ``Statistical analysis of correlated and re- peated measurements for health science researchers'' taught by the ...

2024/4/27 -A confusion matrix is a useful tool for evaluating the performance of a predictive model in machine learning. It is a table that summarizes the predictions.

2024/5/18 -I have to do a LASSO regression model including a lot of predictor variables. How can I include all the predictor variables and the one way interactions ...