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.

_G_e_n_e_r_a_l_i_z_e_d _L_i_n_e_a_r _M_o_d_e_l_s:

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

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

_G_r_o_w_t_h _C_u_r_v_e_s:

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

_P_r_o_b_a_b_i_l_i_t_y _D_i_s_t_r_i_b_u_t_i_o_n_s:

     '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.

_T_e_s_t_s:

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

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

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

_V_a_r_i_a_n_c_e _M_o_d_e_l_s:

     '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.

_M_a_t_r_i_x _C_o_m_p_u_t_a_t_i_o_n_s:

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

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

     Gordon Smyth

