getglmmTMBFit: Pulls glmmTMB model results with t and p-vals

In johninpdx/JMLUtils: Wrappers for R administration, general statistics, data management

Pulls glmmTMB model results with t and p-vals

Description

Extracts effect numbers, effect types, effect names, thetas (estimated parameters) and standard errors from a glmmTMB object, then calculates t-statistics, one or two-tailed p-values, and (if tails = 2) an alpha-level confidence interval for each effect. The alpha level is also ouput, for later reference.

Usage

getglmmTMBFit(fitObj, fxNames, alpha = 0.05, tails = 2)

Arguments

fitObj	An RSiena 'sienaFit' object (output from siena07)
fxNames	A character vector the same length as the total number of fixed effects in the model. For the future: These names are usually named elements of the parameter vector. However, you'd usually want custom row names in any published table.
alpha	A number (Default=.05) to use for creating confidence intervals around the parameter
tails	Numeric: default is 2; enter 1 if 1-tailed pval preferred.

Value

A tibble with 8 columns (if tails = 1) or 10 columns (if tails =2; only in this case are alpha-level CIs calculated and output, as well as alpha itself).

johninpdx/JMLUtils documentation built on June 14, 2025, 2:54 a.m.