fitH0Model: Fit H0 model and evaluate fit statistics

In nkurzaw/TPP2D: Detection of ligand-protein interactions from 2D thermal profiles (DLPTP)

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)

nkurzaw/TPP2D documentation built on May 9, 2023, 10:04 a.m.