Tag: matrix
- How do we interpret the covariance matrices $\textbf{U}$ and $\textbf{V}$ in the Matrix Variate Normal Distribution
- Read and write raster matrix data with R (raster package and image processing)
- Solved – Justification for default contr.poly() polynomial contrasts in R
- Solved – Is it possible to use a mean squared error for matrices
- Solved – R unfold a list into a matrix
- Solved – Find “nearly” linearly dependent columns of matrix
- Solved – F-test and Rank test for underidentification
- Solved – Raising a variance-covariance matrix to a negative half power
- Solved – Appropriate measure to find smallest covariance matrix
- Solved – Which is more numerically stable for OLS: pinv vs QR