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.
| Reverse depends: |
cond, CopulaREMADA, csampling, dglm, diffIRT, GHQp, JointModel, JSM, lmeNB, marg, mcll, mixcat, MultisiteMediation, multistate, MVR, nlreg, PCMRS, PCS, penalizedSVM, survsim |
| Reverse imports: |
BayesianGLasso, Bclim, bgsmtr, boxcoxmix, cda, ChainLadder, cplm, dsm, equateIRT, equateMultiple, flexCWM, frailtypack, glmBfp, hoa, joineR, LogisticDx, mexhaz, mlogit, multimark, mvabund, mvQuad, NetRep, npmlreg, PanelCount, pglm, planar, plink, PredPsych, R2STATS, SNSequate, x.ent |
| Reverse suggests: |
fitteR, frailtyEM, plm, polyCub, SparseGrid, tweedie |