getModelParamsDf {TPP2D} | R Documentation

## Get H0 and H1 model parameters

### Description

Get H0 and H1 model parameters

### Usage

    getModelParamsDf(
      df,
      minObs = 20,
      optim_fun_h0 = .min_RSS_h0,
      optim_fun_h1 = .min_RSS_h1_slope_pEC50,
      optim_fun_h1_2 = NULL,
      gr_fun_h0 = NULL,
      gr_fun_h1 = NULL,
      gr_fun_h1_2 = NULL,
      slopEC50 = TRUE,
      maxit = 500,
      qualColName = "qupm"
    )

### Arguments

`df` | tidy data_frame retrieved after import of a 2D-TPP dataset, potential filtering and addition of a column "nObs" containing the number of observations per protein
`minObs` | numeric value of minimal number of observations that should be required per protein
`optim_fun_h0` | optimization function that should be used for fitting the H0 model
`optim_fun_h1` | optimization function that should be used for fitting the H1 model
`optim_fun_h1_2` | optional additional optimization function that will be run with paramters retrieved from optim_fun_h1 and should be used for fitting the H1 model with the trimmed sum model, default is NULL
`gr_fun_h0` | optional gradient function for optim_fun_h0, default is NULL
`gr_fun_h1` | optional gradient function for optim_fun_h1, default is NULL
`gr_fun_h1_2` | optional gradient function for optim_fun_h1_2, default is NULL
`slopEC50` | logical flag indicating whether the h1 model is fitted with a linear model describing the shift od the pEC50 over temperatures
`maxit` | maximal number of iterations the optimization should be given, default is set to 500
`qualColName` | name of column indicating quantification quality e.g. number of unique peptides used for quantification, default: "qupm"

### Value

a data.frame with fitted null and alternative model parameters

### Examples

    data("simulated_cell_extract_df")
    getModelParamsDf(simulated_cell_extract_df)

[Package TPP2D version 1.8.0 Index]