# Meta analysis source code

The following package and source code is about Functions for simple fixed and random effects meta-analysis for two-sample comparisons and cumulative meta-analyses.

The following Matlab code and examples are about endogenous model of ordering, that is based on Farrell, S., & Lewandowsky, S. (2002). An endogenous model of ordering in serial recall.

The following Matlab code and examples is about human recognition, that are based on Farrell, S., Wagenmakers, E.-J., & Ratcliff, R. (2006). 1/f noise in human cognition: Is it ubiquitous, and what does it mean?

The following Matlab code and examples are based on Farrell, S. (2012). Temporal clustering and sequencing in short-term memory and episodic memory.

The following Matlab code and examples are about Quaternion LMS Algorithm, that is based on C. Cheong Took and D. P. Mandic, “The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes”.

The following package and source code is based on A Bayesian Regression Approach to the Inference of Regulatory Networks from Gene Expression Data. The algorithm we use is the Sparse Bayesian regression algorithm of Tipping and Faul.

The following package and source code is based on Semiparametric Bayesian Inference for Stochastic Frontier Models (with M. F. J. Steel), Journal of Econometrics, 123, 121-152.

The following package and source code is based on Transdimensional sampling algorithms for Bayesian variable selection in classification problems with many more variables than observations (with D. Lamnisos and M. F. J. Steel), Journal of Computational and Graphical Statistics, 18, 592-612.

The following package and source code is Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes (with M. F. J. Steel), Computational Statistics and Data Analysis, 54, 2594-2608.

The following package and source code is based on Posterior Simulation of Normalized Random Measure Mixtures.

The following package and source code is used for Bayesian Nonparametric Modelling.

The following package and source code is based on Time-Varying Sparsity in Dynamic Regression Models.

The following package and source code is Matlab implementation of the lancaster interaction test, total independence test, and pairwise dependence tests.

The following package and source code is about calvin upper-body detector. The resulting detector returns bounding-boxes fitting the head and upper half of the torso of the person.

The following package and source code is based on the paper "Global and Efficient Self-Similarity for Object Classification and Detection" (T. Deselaers, V. Ferrari, CVPR 2010).

The following package and source code is based on "Optimal Metric Projections for Deformable and Articulated Structure-From-Motion", that implement the factorization algorithm for non-rigid objects .

The following package and source code is about segmentation transfer code that is based on Figure-ground segmentation by transferring window masks.

The following package and source code is based on "Fast object segmentation in unconstraint video", A. Papazoglou and V. Ferrari, ICCV13.

The following package and source code is used to evaluate if the experiments are associated and returns a list of interesting features.

The following package and source code implements algorithms to help with scenario discovery.

The following package and source code is used for Separation Plots, which can generate separation plots for evaluation of model fit.

The following package and source code is used for testing the significance of clustering results.

The following package and source code is used for selection of Gaussian Graphical Markov Models using SIN model .

The following package and source code is about source partitioning using stable isotopes.

The following package and source code calculates and plots the SiZer map for scatterplot data.

The following package and source code are Skewed Student-t Distribution, which can generate Density, distribution function, quantile function and random generation.

The following package and source code are about Monte Carlo optimizer using adaptive coordinate sampling. It is used for optimizing non-linear complex functions based on Monte Carlo random sampling.

The following package and source code are about semiparametric proportional odds rate model based on A rank-based empirical likelihood approach to two-sample proportional odds model and its goodness-of-fit.

The following R package and source code is used for color-based visualization of multivariate data.