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add p-values for Chisq and Gsq #14

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add p-values for Chisq and Gsq #14

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3 changes: 3 additions & 0 deletions R/poLCA.R
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Expand Up @@ -180,6 +180,9 @@ function(formula,data,nclass=2,maxiter=1000,graphs=FALSE,tol=1e-10,
}
ret$predcell <- data.frame(datacell,observed=freq,expected=round(fit,3)) # Table that gives observed vs. predicted cell counts
ret$Gsq <- 2 * sum(freq*log(freq/fit)) # Likelihood ratio/deviance statistic
ret$df <- max(K.j) ^ J - ret$npar - 1 # Degrees of freedom
ret$Gsq.pvalue <- 1 - pchisq(ret$Gsq, ret$df)
ret$Chisq.pvalue <- 1 - pchisq(ret$Chisq, ret$df)
}
y[y==0] <- NA
ret$y <- data.frame(y) # outcome variables
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4 changes: 2 additions & 2 deletions R/print.poLCA.R
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Expand Up @@ -28,8 +28,8 @@ function(x, ...) {
cat("maximum log-likelihood:", x$llik, "\n \n")
cat("AIC(",R,"): ",x$aic,"\n",sep="")
cat("BIC(",R,"): ",x$bic,"\n",sep="")
if (S==1) cat("G^2(",R,"): ",x$Gsq," (Likelihood ratio/deviance statistic) \n",sep="")
cat("X^2(",R,"): ",x$Chisq," (Chi-square goodness of fit) \n \n",sep="")
if (S==1) cat("G^2(",R,"): ",x$Gsq," (", x$Gsq.pvalue, ")"," (Likelihood ratio/deviance statistic) \n",sep="")
cat("X^2(",R,"): ",x$Chisq," (", x$Chisq.pvalue, ")"," (Chi-square goodness of fit) \n \n",sep="")
if (x$numiter==x$maxiter) cat("ALERT: iterations finished, MAXIMUM LIKELIHOOD NOT FOUND \n \n")
if (!x$probs.start.ok) cat("ALERT: error in user-specified starting values; new start values generated \n \n")
if (x$npar>x$N) cat("ALERT: number of parameters estimated (",x$npar,") exceeds number of observations (",x$N,") \n \n")
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4 changes: 3 additions & 1 deletion man/poLCA.Rd
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Expand Up @@ -49,7 +49,9 @@ Model specification: Latent class models have more than one manifest variable, s
\item{aic}{Akaike Information Criterion.}
\item{bic}{Bayesian Information Criterion.}
\item{Gsq}{Likelihood ratio/deviance statistic.}
\item{Chisq}{Pearson Chi-square goodness of fit statistic for fitted vs. observed multiway tables.}
\item{Gsq.pvalue}{Likelihood ratio/deviance statistic.}
\item{Chisq}{Pearson Chi-square goodness of fit statistic for fitted vs. observed multiway tables p-value.}
\item{Chisq.pvalue}{Pearson Chi-square goodness of fit statistic for fitted vs. observed multiway tables p-value.}
\item{time}{length of time it took to run the model.}
\item{npar}{number of degrees of freedom used by the model (estimated parameters).}
\item{resid.df}{number of residual degrees of freedom.}
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