是否可以在Python中执行glmm？

Question

是否可以在Python中执行glmm（例如SPSS中的GENLINMIXED分析）？我是statsmodels的忠实拥护者，但该库似乎不支持glmm ...是否有其他选择？

-编辑-

决定用R和r2py来做...

def RunAnalyseMLMlogit(dataset, outcomevars, meeneemvars, randintercept, randslope):

    from rpy2.robjects import pandas2ri
    from rpy2.robjects.packages import importr
    base = importr('base')
    stats = importr('stats')
    lme4 = importr('lme4')

    #data
    with SavReaderNp(dataset) as reader_np:
        array = reader_np.to_structured_array()

    df = pd.DataFrame(array)

    variabelen = ' '.join(outcomevars) + ' ~ ' + '+'.join(meeneemvars)
    randintercept2 = ['(1|'+i+')' for i in randintercept]
    intercept = '+'.join(randintercept2)
    randslope2 = ['(1+'+meeneemvars[0]+'|'+i+')' for i in randslope]
    slope = ' '.join(randslope2)

    pandas2ri.activate()
    r_df = pandas2ri.py2ri(df)

    #model
    #random intercepts + random slopes
    if len(randslope) > 0:
        formula = variabelen + '+' + intercept + '+' + slope

    #only random intercepts
    else:
        formula = variabelen + '+' + intercept

    model = lme4.glmer(formula, data=r_df, family= 'binomial')
    resultaat = base.summary(model).rx2('coefficients')
    uitkomst = base.summary(model)

    return uitkomst

Answer 1

根据这篇文章（诚然，不是最近的），在 Python 中运行 glmms 仍然没有一个很好的解决方案。但是，如果您只是在寻找一种免费（且更灵活！）的替代方案来在 SPSS 中运行测试，请查看 R 的 lme4 包。您甚至可以使用 rpy2 等包，并直接从Python，但这可能有点问题。