Package: simglm 0.9.20

simglm: Simulate Models Based on the Generalized Linear Model

Simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.

Authors:Brandon LeBeau [aut, cre]

simglm_0.9.20.tar.gz
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simglm.pdf |simglm.html✨
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NEWS

Peer review:

Bug tracker:https://github.com/lebebr01/simglm/issues

On CRAN:

powersimulation

33 exports 43 stars 3.50 score 31 dependencies 4 mentions 89 scripts 300 downloads

Last updated 4 months agofrom:56e9a70ddf. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:compute_density_valuescompute_statisticscorrelate_variablesdesireVardropout_missingextract_coefficientsgenerate_missinggenerate_responsemar_missingmissing_datamodel_fitparse_correlationparse_formulaparse_multiplememberparse_powerparse_randomeffectparse_varyargumentsparse_varyarguments_wrandom_missingrbimodreplicate_simulationrun_shinysim_continuous2sim_factor2sim_ordinal2sim_timesimglmsimulate_errorsimulate_fixedsimulate_heterogeneitysimulate_knotsimulate_randomeffecttransform_outcome

Dependencies:backportsbroomclicodetoolscpp11digestdplyrfansifuturefuture.applygenericsglobalsgluegtoolslifecyclelistenvmagrittrparallellypillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr