fitH0Model {TPP2D} | R Documentation

## Fit H0 model and evaluate fit statistics

### Description

Fit H0 model and evaluate fit statistics

### Usage

    fitH0Model(df, maxit = 500, optim_fun = .min_RSS_h0, gr_fun = NULL)

### 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
`maxit` | maximal number of iterations the optimization should be given, default is set to 500
`optim_fun` | optimization function that should be used for fitting the H0 model
`gr_fun` | optional gradient function for optim_fun, default is NULL

### Value

data frame with H0 model characteristics for each protein

### Examples

    data("simulated_cell_extract_df")
    temp_df <- simulated_cell_extract_df %>%
      filter(clustername %in% paste0("protein", 1:5)) %>%
      group_by(representative) %>%
      mutate(nObs = n()) %>%
      ungroup

    fitH0Model(temp_df)

[Package TPP2D version 1.4.1 Index]