psychtm: psychtm: A package for text mining methods for psychological...
In ktw5691/psychtm: Text Mining Methods for Psychological Research
Description
Model Fitting
Parameter Estimates and Goodness-of-Fit
Description
The psychtm package provides estimation, summarization, and goodness-of-fit
functions:
Model Fitting
The workhorse function for Bayesian estimation of topic models is
gibbs_sldax().
Similarly, see gibbs_mlr() and
gibbs_logistic() to estimate regression models with
continuous and dichotomous outcomes, respectively.
Parameter Estimates and Goodness-of-Fit
See sldax-summary for functions to obtain and summarize parameter
estimates and to compute goodness-of-fit metrics.
ktw5691/psychtm documentation built on Nov. 3, 2021, 9:10 a.m.
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Description Model Fitting Parameter Estimates and Goodness-of-Fit
Description
The psychtm package provides estimation, summarization, and goodness-of-fit
functions:
Model Fitting
The workhorse function for Bayesian estimation of topic models is
gibbs_sldax().
Similarly, see gibbs_mlr() and
gibbs_logistic() to estimate regression models with
continuous and dichotomous outcomes, respectively.
Parameter Estimates and Goodness-of-Fit
See sldax-summary for functions to obtain and summarize parameter
estimates and to compute goodness-of-fit metrics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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