Update README.md

README.md

-These 5 codes can be ran to estimate climate sensitivity by using the tropical
+This code can be ran to estimate climate sensitivity by using the tropical
 temperature of the models participating in the Paleoclimate Modelling 
 Intercomparison Project (PMIP) and simulating either the Last Glacial Maximum
 or the mid-Pliocene Warm Period.
@@ -12,15 +12,15 @@ U. Mikolajewicz, R. Ohgaito, X. Shi, Q. Zhang, T. Mauritsen, In Review. A Bayesi
 emergent constraints: case studies of climate sensitivity with PMIP. Climate of 
 the Past.
 
-The Bayesian codes are using the package PyMC3: Salvatier J., Wiecki T.V., 
+The Bayesian method is using the package PyMC3: Salvatier J., Wiecki T.V., 
 Fonnesbeck C. (2016) Probabilistic programming in Python using PyMC3. 
 PeerJ Computer Science 2:e55 DOI: 10.7717/peerj-cs.55.
 See https://docs.pymc.io for installation.
 
-The codes are using the package adjustText for esthetic plots. Please refer to
+The code is using the package adjustText for esthetic plots. Please refer to
 https://github.com/Phlya/adjustText for installation.
 
-The conjugate prior approach is using the code spBayes. Please refer to the package description
+The conjugate prior approach is using the package spBayes. Please refer to the package description
 by Finley and Banerjee (2020) https://cran.r-project.org/web/packages/spBayes/spBayes.pdf
 
 Other used packages are included in the standard Anaconda Distribution.
@@ -31,13 +31,13 @@ Department of Meteorology)
 martin.renoult@misu.su.se
 
 21/05/2020: - Corrected a mistake in the computation of the variance L80 of the Kalman Filter
-            - Updated the two Bayesian codes with more annotations, removed some useless stuff
-            - Removed the previous OLS code
-            - Added a more efficient OLS and prediction intervals code in R
+            - Updated the Bayesian approach with more annotations, removed some useless stuff
+            - Removed the previous OLS python script
+            - Added a more efficient OLS and prediction intervals script in R
             - Added a conjugate prior approach in R for the mPWP problem
 
 23/12/2019: for macOS Catalina (10.15) users: There could be an issue coming from
-PyMC3 3.8 and Theano (codes are running but performances are extremely reduced,
+PyMC3 3.8 and Theano (code is running but performances are extremely reduced,
 the right c++ compiler is not found).
 It seems installing new command lines tools through Xcode might solve the issue.
-The codes have been updated to the new PyMC3 3.8! 
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+The code has been updated to the new PyMC3 3.8! 
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