# statmod v1.4.21

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Monthly downloads

by Gordon Smyth

## Statistical Modeling

A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

## Functions in statmod

Name | Description | |

tweedie | Tweedie Generalized Linear Models | |

plot.limdil | Plot or print an object of class limdil | |

permp | Exact permutation p-values | |

glmgam.fit | Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping | |

matvec | Multiply a Matrix by a Vector | |

gauss.quad.prob | Gaussian Quadrature with Probability Distributions | |

power.fisher.test | Power of Fisher's Exact Test for Comparing Proportions | |

meanT | Mean t-Statistic Between Two Groups of Growth Curves | |

sage.test | Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete) | |

elda | Extreme Limiting Dilution Analysis | |

hommel.test | Test Multiple Comparisons Using Hommel's Method | |

statmod-package | Introduction to the StatMod Package | |

glm.scoretest | Score Test for Adding a Covariate to a GLM | |

remlscoregamma | Approximate REML for gamma regression with structured dispersion | |

growthcurve | Compare Groups of Growth Curves | |

welding | Data: Tensile Strength of Welds | |

logmdigamma | Log Minus Digamma Function | |

Digamma | Digamma generalized linear model family | |

invgauss | Inverse Gaussian Distribution | |

gauss.quad | Gaussian Quadrature | |

fitNBP | Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion | |

mixedModel2 | Fit Mixed Linear Model with 2 Error Components | |

forward | Forward Selection of Covariates for Multiple Regression | |

mscale | M Scale Estimation | |

remlscore | REML for Heteroscedastic Regression | |

qresiduals | Randomized Quantile Residuals | |

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## Last month downloads

## Details

Date | 2015-03-30 |

License | GPL-2 | GPL-3 |

NeedsCompilation | yes |

Packaged | 2015-03-30 02:45:15 UTC; smyth |

Repository | CRAN |

Date/Publication | 2015-03-30 07:36:57 |

depends | base (>= 1.6.1) , R (>= 1.6.1) |

suggests | MASS , tweedie |

Contributors | Gordon Smyth, Yifang Hu, Peter Dunn, Belinda Phipson, Yunshun Chen |

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