1.StatMod              package:statmod              R Documentation

_I_n_t_r_o_d_u_c_t_i_o_n _t_o _t_h_e _S_t_a_t_M_o_d _P_a_c_k_a_g_e

_D_e_s_c_r_i_p_t_i_o_n:

     This library packages together those functions, other than those
     for microarray data analysis, which I wish to make public.

     'tweedie', 'canonic.digamma', 'unitdeviance.digamma',
     'varfun.digamma', 'cumulant.digamma', 'd2cumulant.digamma',
     'meanval.digamma' and 'logmdigamma' and functions to fit
     non-standard generalized linear models. 

     'qres' implements randomized quantile residuals for generalized
     linear models.

     'compareGrowthCurves', 'compareTwoGrowthCurves' and 'meanT' are
     functions to test for differences between growth curves with
     repeated measurements on subjects.

     'qinvgauss', 'dinvgauss', 'pinvgauss' and 'rinvgauss' perform
     probability calculations for the inverse Gaussian distribution. 

     'gauss.quad' and 'gauss.quad.prob' compute Gaussian Quadrature
     with probability distributions. 

     'hommel.test' performs Hommel's multiple comparison tests.

     'matvec' and 'vecmat' facilitate multiplying matrices by vectors. 

     'power.fisher.test' computes the power of Fisher's Exact Test for
     comparing proportions.

     'randomizedBlock', 'randomizedBlockFit' and 'glmgam.fit' fit mixed
     linear models.

     'remlscore' and 'remlscoregamma' fit heteroscedastic and varying
     dispersion models by REML. 'welding' is an example data set.

     'sage.test' is a fast approximation to Fisher's exact test for
     each tag for comparing two Serial Analysis of Gene Expression
     (SAGE) libraries.

_A_u_t_h_o_r(_s):

     Gordon Smyth

