ENVIRONMENT
- Interactive—type matrix expressions and see results
- Development—full development environment for developing programs and commands
- Automatically compiled code
GENERAL FEATURES AND MATRIX OPERATORS
- Matrices with more than 2 billion rows and columns in Stata/MP
- Matrices with up to 2 billion rows and columns in Stata/SE and Stata/IC
- Support for real and complex values
- Joining by rows or columns
- Addition, subtraction, multiplication, and scalar division
- Elementwise arithmetic
- Transposition and reshaping
- Kronecker and Hadamard products
- Inner and outer products
OPTIMIZATION FEATURES
- Code the function, function and gradient, or function, gradient, and Hessian
- Newton–Raphson, BFGS, DFP, BHHH, Nelder–Mead, and Gauss–Newton techniques
- Versions for general problems and statistical problems like maximum likelihood
- Covariance matrix based on Hessian, outer product of gradients, or robust/sandwich
- Linear programming
MATHEMATICAL AND MATRIX FUNCTIONS
- LAPACK numerical analysis routines
- Intel® Math Kernel Library (MKL)
- Hundreds of mathematical, string, and matrix utility functions
- Expansive date and time functions
- Unicode-aware string functions
- Locale-based sorting and string comparison
- Symmetric, nonsymmetric, and generalized inverses
- Cholesky, LU, QR, and SVD solvers
- Trigonometric and other transcendental functions
- Gamma and factorial functions
- Density and distribution functions
- Polynomial evaluation, arithmetic, and calculus
- Hilbert, Toeplitz, and Vandermonde matrices
- Duplication, commutation, and elimination matrices
- Random-number generation
- Fast Fourier analysis
- Cubic splines
- Means, sums, minimums and maximums of matrices
- Numerical first and second derivatives
- Numerical integration
- Vectorized numerical integration
STATA INTERFACE
- Convert Stata datasets to matrices and vice versa
- Virtual matrix views onto dataset
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- Access and set estimation-class and other macros
- Manipulate dataset value labels
- Access and manipulate Stata data frames
COMPILED LANGUAGE
- C/C++-like syntax
- Classes
- Structures
- Pointers
- Numeric and string types
- Matrices as an intrinsic type, including row and column vectors and full matrices
OBJECT-ORIENTED PROGRAMMING
- Inheritance
- Virtual functions
- Encapsulation of data structures and programs
DECOMPOSITIONS
- Eigenvalues and eigenvectors
- Cholesky
- LU and LUD
- LDL
- QR
- Schur
- Hessenberg
- Singular value
- Permutation matrices
DATA ACCUMULATION
- Cross products
- Cross products of deviations from means
- Weighted and GLS-type cross products
- Support for quad-precision cross products
NONLINEAR SYSTEM SOLVER
- Fixed-point and root-finding problems
- Gauss–Seidel, Broyden–Powell, and Newton–Raphson methods
CREATION OF WORD, EXCEL, AND PDF FILES
- Programmatic access to create Word documents
- Low-level cell-by-cell access to write results to and read data from Excel, including graphs, formulas, date formats, currency formats, bold, italics, and more.
- Programmatic access to create PDF files
OTHER FEATURES
- String scalars and matrices, including Unicode and Base64 support
- File I/O, including buffered I/O
- URL percent encoding and decoding
- C-like syntax
- Fast execution