Added weighting option to pcm
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@ -10,6 +10,7 @@ pcm(
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grp = NULL,
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dif.items = NULL,
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type.dif = NULL,
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weights = NULL,
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verbose = T,
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fit = "ucminf",
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method.theta = "eap"
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@ -26,6 +27,8 @@ pcm(
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\item{type.dif}{vector containing DIF form for each item specified in dif.items. 1 is homogeneous DIF, 0 is heterogeneous DIF}
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\item{weights}{string containing the name of the column where optional weights are stored in df}
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\item{verbose}{set to TRUE to print a detailed output, FALSE otherwise}
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\item{fit}{string determining the optimization algorithm. Values "ucminf" or "nlminb" ar recommended}
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