<commit_before>PARAMETRIC AND NONPARAMETRIC SPHERICAL REGRESSION WITH DIFFEOMORPHISMS

By <NAME>

Professor Co-Directing Dissertation
    <NAME>
    <NAME>
University Representative
    <NAME>
Committee Member
    <NAME>

In this folder, these are some examples of analysis performed on different data sets. For details on this data, see my dissertation.

The following function creates a summary table, computes residual diagnostics statistics, and creates plots for the data.
MAIN_Spherical_Regression_Analysis

<commit_msg>Update readme.txt<commit_after>PARAMETRIC AND NONPARAMETRIC SPHERICAL REGRESSION WITH DIFFEOMORPHISMS

By <NAME>

Professor Co-Directing Dissertation
    <NAME>
    <NAME>
University Representative
    <NAME>
Committee Member
    <NAME>

In this folder, these are some examples of analysis performed on different data sets. For details on this data, see my dissertation.

The following function creates a summary table, computes residual diagnostics statistics, and creates plots for the data.
MAIN_Spherical_Regression_Analysis

The diffeomorphic regression models have been run in advanced because they take time to tune and fit. The main model fitting functions are:
* PARAMETRIC MODELS
    * PLT
    * RRR
    * LLR
* NONPARAMETRIC MEODELS
    * [Grid2,E,Xtilde,path] = NPSR(X,Y,lambda,l,NN)
The NPSR function currently only applies to the case where M=3, i.e. for data on $\mathbb{S}^2$. All the other functions work for arbitrary 
    * [m] = LocalLR(X,Y,Xnew,kappa)



They all take the arguments (X,Y) where the predictor X and response Y are MxN matrices where the columns denote corresponding observations of spherical data on the $\mathbb{S}^{M-1}$ dimensional hypersphere.


{'fraction_non_alphanumeric': 0.056074766355140186, 'fraction_numerical': 0.002336448598130841, 'mean_word_length': 4.672185430463577, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '5454111', 'n_tokens_mistral': 516, 'n_tokens_neox': 478, 'n_words': 208}