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updated 10 months ago

Generalized Truth Table by Brian Moore

Creates truth tables of arbitrary base from binary to decimal (truth, table, truthtable)

abTruthTable(base,bits)

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updated almost 4 years ago

Generalized outer product by icklePhil

Outer product of two cell arrays with custom operator function. (outer product, outer operation, general)

outer( fun, vec1, vec2 )

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updated 4 years ago

ability by Peter Cotton

ABILITY - Infer ability from probability of winning a competition (statistics, probability, generalized)

ability(p,M,K,exotics,verbose)

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updated almost 5 years ago

Beta regression by Willem-Jan de Goeij

Estimation of a beta regression model (logit link function). The parameters are estimated with ML. (beta, regression, model)

betalik(vP, mX, vy)

betareg(vy, mX);

betasim(n, vBeta, phi)

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updated 5 years ago

General Least Squares Regression by Husam Aldahiyat

Multi Dimensional Multivariable Least Squares Regression (least, squares, regression)

[fm,C9]=mreg(x,y,m)

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updated 5 years ago

Student's t regression by Willem-Jan de Goeij

Estimates a Student's t regression model (studentt, student, t)

betasim(n, vBeta, sigma, nu)

tlik(vP, mX, vy)

treg.m

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updated 5 years ago

Generalized Newton Raphson Method by Hrishi Shah

Newton Raphson Method for any number of variables and any number of equations (newton raphson, automatic, generalized)

example_inputs.m

var1=method2()

var1=newton_raphson(f, variables, paramnames, paramvalues...

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updated almost 6 years ago

Generalized Objective Function by Anthony Kendall

Allows any MATLAB function to easily be optimized (optimization, objective, function)

objective_function(firstArg,funcName,evalLocs,obs,objName)

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updated 8 years ago

Generalized Array Operations by Douglas Schwarz

Computes generalized array operations by expanding singleton dimensions. (matrices, array, repmat)

genop(op,x,y)

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updated 15 years ago

glmlab by Peter Dunn

glmlab is a set of m-files for using MATLAB for analysing generalised linear models. (statistics, probability, linear)

A=diagm(D,B)

X=fac(x,aszero)

[b,mu,xtwx,devlist,l,eta]=irls(y,x,m)

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